Molecular detection of Mycoplasma genitalium in endocervical swabs and associated rates of macrolide and fluoroquinolone resistance in Hong Kong

Hong Kong Med J 2020 Oct;26(5):390–6  |  Epub 10 Sep 2020
© Hong Kong Academy of Medicine. CC BY-NC-ND 4.0
 
ORIGINAL ARTICLE
Molecular detection of Mycoplasma genitalium in endocervical swabs and associated rates of macrolide and fluoroquinolone resistance in Hong Kong
Kevin KM Ng, MB, ChB, FRCPath; Patricia KL Leung, MPhil; Terence KM Cheung, MPhil
Public Health Laboratory Services Branch, Centre for Health Protection, Department of Health, Hong Kong SAR Government, Hong Kong
 
Corresponding author: Dr Kevin KM Ng (kevinkmng@yahoo.com.hk)
 
 Full paper in PDF
 
Abstract
Introduction: There is a global trend of increasing macrolide and fluoroquinolone resistance in Mycoplasma genitalium (MG), such that international guidelines recommend molecular detection of resistance if a patient has MG-positive test results. Tests for MG are not routinely performed in Hong Kong. This study examined the detection of MG in endocervical swabs and the associated macrolide and fluoroquinolone resistance rates.
 
Methods: Endocervical swabs received from two sexual health clinics in Hong Kong for routine assessments of Chlamydia trachomatis and Neisseria gonorrhoeae were also subjected to detection of MG. All MG-positive samples were tested for resistance-mediating mutations in 23S rRNA, parC, and gyrA genes. Laboratory records and past results for each patient were analysed.
 
Results: In total, endocervical swabs from 285 patients were included in this study. Mycoplasma genitalium was detected in swabs from 21 patients (7.4%) by real-time polymerase chain reaction with a commercial kit. Among MG-positive samples which were successfully analysed further, macrolide resistance-mediating mutations in 23S rRNA were found in 42.1% (8/19); fluoroquinolone resistance–related mutations in parC and gyrA were found in 65% (13/20) and 0% (0/20), respectively. All macrolide-resistant MG strains were also fluoroquinolone-resistant (42.1%, 8/19). No assessed factors were associated with the detection of MG or resistance-related mutations.
 
Conclusion: In Hong Kong, MG was detected in endocervical swabs from 7.4% of patients in sexual health clinics, with high rates of macrolide and fluoroquinolone resistance. These findings warrant careful review of testing, clinical correlation, and treatment strategies for MG in the context of increasing antibiotic resistance.
 
 
New knowledge added by this study
  • Mycoplasma genitalium (MG) was detected in endocervical swabs from 7.4% of patients in two sexual health clinics in Hong Kong.
  • High rates of macrolide and fluoroquinolone resistance–associated mutations (42.1% and 65%, respectively) were detected in MG-positive specimens.
  • All macrolide-resistant MG strains were also fluoroquinolone-resistant.
  • No clinical or demographic factors were significantly associated with the detection of MG or resistance-related mutations.
Implications for clinical practice or policy
  • Our findings support the existing recommendation that testing should be reserved only for patients with increased risks or for whom treatment has failed, as well as their contacts.
  • The empirical uses of macrolide and fluoroquinolone regimens utilised in Hong Kong might explain the high rates of resistance found in this study.
  • Careful review is required with respect to testing, clinical correlation, and treatment strategies for MG in the context of increasing antibiotic resistance.
 
 
Introduction
Mycoplasma genitalium (MG) is capable of causing urogenital infection, especially urethritis, in men. There is increasing evidence to support its ability to cause cervicitis and pelvic inflammatory disease in women.1 Data from a recent meta-analysis showed a prevalence of 1.3% in the general populations of developed countries, with similar rates among men and women; furthermore, the prevalence ranged from 0.6% to 12.6% in clinic-based studies.2 In terms of therapy, macrolides such as azithromycin are considered first-line treatment, while fluoroquinolones (FQ) such as moxifloxacin are considered second-line treatment. However, antibiotic resistance is an emerging problem, with cited rates of macrolide and FQ resistance both reaching approximately 70% in the Asia-Pacific region.3 Consequently, in the context of increasing reports of treatment failure,4 5 multiple international guidelines indicate that all MG-positive specimens should be subjected to testing for macrolide resistance-mediating mutations and test-of-cure purposes.6 7 8
 
In Hong Kong, testing for MG is not routinely undertaken in the public sector. Notably, a cross-sectional study performed in 2008 in Hong Kong showed respective prevalences of 10% and 2% in symptomatic and asymptomatic men who sought sexual health services.9 Empirical treatment for non-gonococcal urethritis or non-specific genital tract infection encompassing MG infection generally comprises either a single dose of azithromycin or a 1-week course of doxycycline. Data regarding resistance profiles in Hong Kong are not available. This laboratory-based study aimed to determine the prevalences of MG in both symptomatic and asymptomatic women attending sexually transmitted infection (STI) clinics, as well as to determine the rates of macrolide and FQ resistance in MG-positive endocervical swabs, by using molecular methods.
 
Methods
Specimen and data collection
From March to May 2019, endocervical swabs of female patients sent from two STI clinics in Hong Kong for routine molecular detection of Chlamydia trachomatis (CT) and Neisseria gonorrhoeae (NG) were also subjected to detection of MG. Information regarding the presence or absence of genitourinary symptoms was provided by attending physicians. All available laboratory information for each tested patient was reviewed to determine demographic data, history of STI, human immunodeficiency virus status, and test results from the current visit.
 
Detection of Mycoplasma genitalium
The cobas TV/MG assay (Roche Diagnostics, Rotkreuz, Switzerland) performed on the cobas 6800 System (Roche Diagnostics) was used for detection of MG. The cobas TV/MG assay is a CE-marked, Food and Drug Administration–cleared, commercial qualitative nucleic acid test that utilises the real-time polymerase chain reaction for dual detection of Trichomonas vaginalis (TV) and MG. Its reported overall sensitivity and specificity rates were 83.1% and 98.4%, respectively, for MG detection in endocervical swabs from female patients.10 Tests were performed in accordance with the manufacturer’s instructions.
 
Detection of other sexually transmitted pathogens
In brief, CT and NG were detected by the cobas CT/NG assay (Roche Diagnostics), while herpes simplex virus (HSV) 1 and HSV 2 were detected by the cobas HSV 1 and 2 assay (Roche Diagnostics), both performed on the cobas 4800 System (Roche Diagnostics). In addition, NG was detected by the culture method on modified Thayer-Martin agars. Either molecular- or culture-based test indicating the presence of NG was considered a positive result. Trichomonas vaginalis was detected by the cobas TV/MG assay (Roche Diagnostics) and wet mount microscopy after enrichment in Feinberg medium. Similar to NG, either test indicating the presence of TV was considered a positive result. Syphilis was detected by serological tests of serum specimens, including enzyme immunoassay (DiaSorin, Saluggia, Italy), Venereal Disease Research Laboratory test (Becton, Dickinson and Company, Franklin Lakes [NJ], US), fluorescent treponemal antibody absorption test (ImmunoDiagnostics Limited, Hong Kong, China), or Treponema pallidum passive particle agglutination test (Fujirebio Diagnostics AB, Göteborg, Sweden).
 
Detection of macrolide and fluoroquinolone resistance
Mutations at nucleotide positions 2071 and 2072 (2058 and 2059, respectively, by Escherichia coli numbering) of the 23S rRNA gene have been associated with macrolide resistance in MG and subsequent treatment failure11 12; mutations in the quinolone resistance-determining region of the parC gene, and possibly the gyrA gene, have been associated with FQ resistance.5 Polymerase chain reaction analysis of these genes was performed as described previously.13 14 Sequencing was performed using a 3730xl DNA Analyzer (Applied Biosystems, Foster City [CA], US), in accordance with the manufacturer’s instructions. Primers used for sequencing were the same as those used for the polymerase chain reaction. Resulting sequences were compared to the sequence of wild-type strain MG G37 by using BLAST (https://blast.ncbi.nlm. nih.gov/Blast.cgi).
 
Statistical analysis
Calculation of odds ratios, and the Chi squared test or Fisher’s exact test, were performed as univariate analysis to identify associations between assessed factors (ie, age, previous STI clinic visit, history of STI, symptoms, and sexually transmitted co-infections) and outcomes (ie, detection of MG and detection of resistance mutations), as well as between STI and symptoms. Because of the low outcome frequency, Firth logistic regression was employed to analyse associations between factors with P<0.25 in univariate analysis and the detection of resistance mutations. IBM SPSS Statistics Subscription (Windows version, IBM Corp, Armonk [NY], US) was used for data analysis.
 
The STROBE statement reporting guidelines were followed in this study.
 
Results
In total, 285 non-duplicated specimens from 285 patients were included in this study. The mean patient age was 35.5 years (range, 16-76 years); 23.9% of the patients (n=68) were in the younger age-group (≤25 years). Of the 285 patients, 59.6% (n=170) were new patients without a previous relevant testing record. In all, 18.9% of the patients (n=54) had a documented history of STI. None were known human immunodeficiency virus carriers; however, human immunodeficiency virus status was not available for seven patients. Regarding the current clinic visit, 60.7% of the patients (n=173) were symptomatic, and 7.4% (n=21) had MG-positive test results (14 specimens exhibited MG alone; 7 specimens exhibited MG and another pathogen). Table 1 shows the numbers of STIs detected among these 285 patients.
 

Table 1. Sexually transmitted infections detected among 285 patients in Hong Kong
 
Younger age, previous STI clinic visit, history of STI, symptoms, and sexually transmitted co-infections were not associated with the detection of MG (Table 2). Symptoms were only significantly associated with the detection of CT (Table 3).
 

Table 2. Univariate analysis of risk factors for detection of Mycoplasma genitalium and detection of resistance mutation in Mycoplasma genitalium–positive specimens
 

Table 3. Association between sexually transmitted infections and symptoms
 
Among the 21 MG-positive endocervical swabs, sequencing results for 23S rRNA were available for 19 specimens. In total, 42.1% of the specimens (n=8) harboured the macrolide resistance-mediating mutations A2071G or A2072G. Regarding parC and gyrA, sequencing results were available for 20 specimens. Overall, 65% of the specimens (n=13) harboured the FQ resistance–related mutations G248T (Ser83Ile), G259T (Asp87Tyr), or G259A (Asp87Asn) within parC; no mutations were detected in gyrA. Among the 19 specimens with sequencing results available regarding both macrolide and FQ resistance, dual resistance was detected in 42.1% of the specimens (n=8); thus, all macrolide-resistant strains were also resistant to FQ. Furthermore, C184T (Pro62Ser) in parC, for which clinical significance is unknown, was detected in one specimen without any other mutation and in one specimen with dual resistance.
 
In subgroup analysis of patients with MG-positive specimens, younger age, previous STI clinic visit, symptoms, and sexually transmitted co-infections were not associated with the detection of resistance mutations, similar to the findings among all specimens; however, a history of STI was negatively associated with the detection of mutations (Table 2). This association did not remain after multivariable logistic regression (odds ratio=0.151, 95% confidence interval=0.004-2.983, P=0.221).
 
Discussion
In this study, 7.4% of endocervical swabs from women attending STI clinics exhibited MG-positive results, although no assessed factors were obviously associated with the detection of MG. Mycoplasma genitalium–positive rates did not significantly differ (P=0.131) among patients who were symptomatic (9.2%) and those who were asymptomatic (4.5%). These rates were comparable with the findings of the aforementioned 2008 cross-sectional study in Hong Kong involving male patients with STI,9 as well as with the findings of a multicentre clinical study in the US.15 Reported rates of MG detection have exhibited considerable variability. A 2018 systematic review2 revealed that higher rates were prevalent among at-risk groups (eg, commercial sex workers and men who have sex with men), in clinic-based settings, and in countries with lower economic development. In Australia, the prevalence of MG was found to range from 2.1% to 13%, depending on the population tested16; while a higher prevalence of approximately 15% has been reported in Japan.17 Nevertheless, the prevalence in the general population and asymptomatic patients remained low (1.3%),2 which did not support universal screening. In the present study, symptoms were not associated with the detection of MG. Considering the organism’s uncertain clinical significance and natural history, it is necessary to balance the need to test and the risks of unnecessary treatment, including potential aggravation of antibiotic resistance. We agree with the existing recommendation that testing should be carefully selected, reserved only for patients with increased risks or for whom treatment has failed, as well as their contacts.18
 
Importantly, the choice of specimen might affect the detection of MG. A recent prospective, multicentre study showed that self or clinician-collected vaginal swabs exhibited the best sensitivities (92%-98.9%), while urinary and endocervical swabs were less sensitive (81.5% and 77.8%, respectively).15 These findings were consistent with the results of prior studies19 20 21; notably, some studies found that endocervical swabs were more sensitive than urinary specimens,20 21 presumably because of the lower bacterial load in urine.22 Endocervical swabs are the routine specimens sent to our laboratory from STI clinics for molecular detection of CT and NG; we perform assays for detection of MG and CT, as recommended by European guidelines.6 Of note, the relatively low sensitivity of the test with respect to endocervical swabs might also have underestimated the prevalence of MG in our study.
 
Resistance-related mutations in 23S rRNA and parC genes were detected in 42.1% and 65% of MG-positive samples, respectively, among which none harboured mutations in gyrA. All macrolide-resistant strains were also FQ-resistant (42.1%). Although the populations have differed among studies, similarly high rates of macrolide resistance have been reported, while rates of FQ and dual resistance have varied among regions (Table 4).3 23 24 25 26 27 28 Several studies also demonstrated consistent increases in resistance rates over time.3 28 29
 

Table 4. Mycoplasma genitalium macrolide and fluoroquinolone resistance rates in different regions of the world3 23 24 25 26 27 28
 
All mutations detected in this study have been described previously; while C184T (Pro62Ser) in parC is of unknown significance, others are known to confer antibiotic resistance leading to higher minimal inhibitory concentrations and treatment failure.5 11 12 23 In particular, the extent of FQ resistance is reportedly related to the presence of concurrent parC and gyrA mutations. Although MG strains with lone parC mutations had reduced susceptibilities to FQ, they were able to be eradicated by sitafloxacin and (possibly) moxifloxacin. However, concurrent gyrA mutations have been shown to further increase the FQ minimal inhibitory concentrations, leading to treatment failure.23 30
 
No assessed factors were significantly associated with the detection of MG in this study, possibly due to the limited number of positive samples. The authors of other studies have suggested that a syndromic approach (ie, management of a patient whereby a syndrome is used as a basis for the treatment of the causative organisms) and the use of a single dose of azithromycin for treatment of NG (as part of dual therapy), non-gonococcal urethritis/non-specific genital tract infection, or known MG infection contribute to the emergence of macrolide resistance in MG, because this regimen is suboptimal and might exert selective pressure on resistant strains.28 29 31 A similar phenomenon has been observed with respect to FQ, especially in Japan, where frequent use of the second-line antibiotic sitafloxacin caused selection of resistant strains, leading to high rates of FQ resistance in MG.3 In public clinics in Hong Kong, a single dose of azithromycin or a 1-week course of doxycycline is used as empirical treatment for non-gonococcal urethritis or non-specific genital tract infection. If no culprit pathogen is identified and the patient complains of persistent symptoms during follow-up, a 1-week course of moxifloxacin for possible MG is considered, following exclusion of other causes (eg, non-compliance). These empirical uses of macrolide and FQ regimens might explain the high rates of resistance found in this study. For other regions with lower rates of FQ resistance, the relationship between FQ use and emergence of its resistance in MG requires further investigation.
 
In the context of increasing drug resistance, international guidelines have suggested follow-up molecular testing for resistance determinants in MG-positive specimens.6 7 8 In particular, the most recent British and Australian guidelines include revised treatment regimens, which suggest 1 week of doxycycline followed by 3 days of azithromycin as treatment for macrolide-sensitive (or susceptibility unknown) MG, or followed by 7 to 10 days of moxifloxacin as treatment for macrolide-resistant MG.7 8 Alternative antibiotics that might be effective (eg, pristinamycin) require further evaluation.32 33
 
When the detection of MG and its drug resistance profile is considered after patient selection and careful review of clinical indications, testing at a private laboratory may be sought, because this service is not readily available in the public sector in Hong Kong. Our findings of high macrolide and FQ resistance rates in MG implied that the use of azithromycin and moxifloxacin as empirical first- and second-line therapies, respectively, might be ineffective; furthermore, this approach could induce greater drug resistance. These findings should be taken into consideration in future assessments of treatment guidelines for Hong Kong. The acquisition of updated treatment strategies from international guidelines may also be useful.
 
Because our laboratory is a reference laboratory that serves all public STI clinics in Hong Kong, our database is comprehensive in terms of laboratory testing records. Specimens in this study were unique and not duplicated for any patient. In addition, we have considerable capacity to perform arrays of confirmatory tests for various sexually transmitted pathogens. However, this study was limited by the absence of other clinical information such as sexual practices, antimicrobials prescribed, and treatment outcomes, because these data were not available to the authors. The small number of MG-positive samples also limited our ability to assess correlations with factors considered in this study.
 
Conclusion
Mycoplasma genitalium was detected in 7.4% of 285 endocervical swabs collected from both symptomatic and asymptomatic women attending STI clinics in Hong Kong. Among the MG-positive samples, macrolide resistance-mediating mutations and fluoroquinolone resistance–related mutations were detected in 42.1% and 65%, respectively. Dual resistance was also detected in all macrolide-resistant strains (42.1%). These findings suggest that both testing and treatment strategies require careful review to avoid further enhancing the prevalence of antibiotic resistance.
 
Author contributions
Concept or design: KKM Ng, PKL Leung.
Acquisition of data: All authors.
Analysis or interpretation of data: All authors.
Drafting of the manuscript: KKM Ng.
Critical revision of the manuscript for important intellectual content: All authors.
 
All authors had full access to the data, contributed to the study, approved the final version for publication, and take responsibility for its accuracy and integrity.
 
Conflicts of interest
All authors have disclosed no conflicts of interest.
 
Acknowledgement
The authors acknowledge the excellent work and contributions by staff at the Special Investigation Laboratory of Public Health Laboratory Services Branch, Centre for Health Protection, Department of Health, Hong Kong SAR Government.
 
Funding/support
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
 
Ethics approval
This study obtained ethics approval (Ref LM 424/2019) from the Ethics Committee of the Department of Health, Hong Kong SAR Government. Patients consented to testing for sexually transmitted pathogens.
 
References
1. Lis R, Rowhani-Rahbar A, Manhart LE. Mycoplasma genitalium infection and female reproductive tract disease: a meta-analysis. Clin Infect Dis 2015;61:418-26. Crossref
2. Baumann L, Cina M, Egli-Gany D, et al. Prevalence of Mycoplasma genitalium in different population groups: systematic review and meta-analysis. Sex Transm Infect 2018;94:255-62. Crossref
3. Deguchi T, Ito S, Yasuda M, et al. Surveillance of the prevalence of macrolide and/or fluoroquinolone resistance-associated mutations in Mycoplasma genitalium in Japan. J Infect Chemother 2018;24:861-7. Crossref
4. Lau A, Bradshaw CS, Lewis D, et al. The efficacy of azithromycin for the treatment of genital Mycoplasma genitalium: a systematic review and meta-analysis. Clin Infect Dis 2015;61:1389-99. Crossref
5. Murray GL, Bradshaw CS, Bissessor M, et al. Increasing macrolide and fluoroquinolone resistance in Mycoplasma genitalium. Emerg Infect Dis 2017;23:809-12. Crossref
6. Jensen JS, Cusini M, Gomberg M, Moi H. 2016 European guideline on Mycoplasma genitalium infections. J Eur Acad Dermatol Venereol 2016;30:1650-6. Crossref
7. Australasian Sexual Health Alliance. Australian STI management guidelines for use in primary care. Available from: http://www.sti.guidelines.org.au/sexually-transmissible-infections/mycoplasma-genitalium. Accessed 15 Mar 2020.
8. Soni S, Horner P, Rayment M, et al. British Association for Sexual Health and HIV national guideline for the management of infection with Mycoplasma genitalium (2018). Int J STD AIDS 2019;30:938-50. Crossref
9. Yu JT, Tang WY, Lau KH, et al. Role of Mycoplasma genitalium and Ureaplasma urealyticum in non-gonococcal urethritis in Hong Kong. Hong Kong Med J 2008;14:125-9.
10. US Food and Drug Administration. cobas TV/MG Premarket Notification 510(k). Table 34. Available from: https://www.accessdata.fda.gov/cdrh_docs/pdf19/K190433.pdf. Accessed 15 Mar 2020.
11. Jensen JS, Bradshaw CS, Tabrizi SN, Fairley CK, Hamasuna R. Azithromycin treatment failure in Mycoplasma genitalium–positive patients with nongonococcal urethritis is associated with induced macrolide resistance. Clin Infect Dis 2008;47:1546-53. Crossref
12. Bissessor M, Tabrizi SN, Twin J, et al. Macrolide resistance and azithromycin failure in a Mycoplasma genitalium– infected cohort and response of azithromycin failures to alternative antibiotic regimens. Clin Infect Dis 2015;60:1228-36. Crossref
13. Peuchant O, Ménard A, Renaudin H, et al. Increased macrolide resistance of Mycoplasma pneumoniae in France directly detected in clinical specimens by real-time PCR and melting curve analysis. J Antimicrob Chemother 2009;64:52-8. Crossref
14. Shimada Y, Deguchi T, Nakane K, et al. Emergence of clinical strains of Mycoplasma genitalium harbouring alterations in ParC associated with fluoroquinolone resistance. Int J Antimicrob Agents 2010;36:255-8. Crossref
15. Gaydos CA, Manhart LE, Taylor SN, et al. Molecular testing for Mycoplasma genitalium in the United States: results from the AMES Prospective Multicenter Clinical Study. J Clin Microbiol 2019;57:e01125-19. Crossref
16. Trevis T, Gossé M, Santarossa N, Tabrizi S, Russell D, McBride WJ. Mycoplasma genitalium in the Far North Queensland backpacker population: an observational study of prevalence and azithromycin resistance. PLoS One 2018;13:e0202428. Crossref
17. Hamasuna R. Mycoplasma genitalium in male urethritis: diagnosis and treatment in Japan. Int J Urol 2013;20:676- 84. Crossref
18. Stewart JD, Webb BQ, Francis M, Graham M, Korman TM. Should we routinely test for Mycoplasma genitalium when testing for other sexually transmitted infection? Med J Aust 2020;212:30-1. Crossref
19. Jensen JS, Björnelius E, Dohn B, Lidbrink P. Comparison of first void urine and urogenital swab specimens for detection of Mycoplasma genitalium and Chlamydia trachomatis by polymerase chain reaction in patients attending a sexually transmitted disease clinic. Sex Transm Dis 2004;31:499-507. Crossref
20. Wroblewski JK, Manhart LE, Dickey KA, Hudspeth MK, Totten PA. Comparison of transcription-mediated amplification and PCR assay results for various genital specimen types for detection of Mycoplasma genitalium. J Clin Microbiol 2006;44:3306-12. Crossref
21. Lillis RA, Nsuami MJ, Myers L, Martin DH. Utility of urine, vaginal, cervical, and rectal specimens for detection of Mycoplasma genitalium in women. J Clin Microbiol 2011;49:1990-2. Crossref
22. Murray GL, Danielewski J, Bodiyabadu K, et al. Analysis of infection loads in Mycoplasma genitalium clinical specimens by use of a commercial diagnostic test. J Clin Microbiol 2019;57:e00344-19. Crossref
23. Hamasuna R, Le PT, Kutsuna S, et al. Mutations in ParC and GyrA of moxifloxacin-resistant and susceptible Mycoplasma genitalium strains. PLoS One 2018;13:e0198355. Crossref
24. Sweeney EL, Trembizki E, Bletchly C, et al. Levels of Mycoplasma genitalium antimicrobial resistance differ by both region and gender in the state of Queensland, Australia: implications for treatment guidelines. J Clin Microbiol 2019;57:e01555-18.Crossref
25. Vesty A, McAuliffe G, Roberts S, Henderson G, Basu I. Mycoplasma genitalium antimicrobial resistance in community and sexual health clinic patients, Auckland, New Zealand. Emerg Infect Dis 2020;26:332-5. Crossref
26. Getman D, Jiang A, O’Donnell M, Cohen S. Mycoplasma genitalium prevalence, coinfection, and macrolide antibiotic resistance frequency in a multicenter clinical study cohort in the United States. J Clin Microbiol 2016;54:2278-83. Crossref
27. Dionne-Odom J, Geisler WM, Aaron KJ, et al. High prevalence of multidrug-resistant Mycoplasma genitalium in human immunodeficiency virus–infected men who have sex with men in Alabama. Clin Infect Dis 2018;66:796- 8. Crossref
28. Fernández-Huerta M, Barberá MJ, Serra-Pladevall J, et al. Mycoplasma genitalium and antimicrobial resistance in Europe: a comprehensive review. Int J STD AIDS 2020;31:190-7. Crossref
29. Martens L, Kuster S, de Vos W, Kersten M, Berkhout H, Hagen F. Macrolide-resistant Mycoplasma genitalium in southeastern region of the Netherlands, 2014-2017. Emerg Infect Dis 2019;25:1297-303. Crossref
30. Murray GL, Bodiyabadu K, Danielewski J, et al. Moxifloxacin and sitafloxacin treatment failure in Mycoplasma genitalium infection: association with parC mutation G248T (S83I) and concurrent gyrA mutations. J Infect Dis 2020;221:1017-24.
31. Horner P, Ingle SM, Garrett F, et al. Which azithromycin regimen should be used for treating Mycoplasma genitalium? A meta-analysis. Sex Transm Infect 2018;94:14-20. Crossref
32. Bradshaw CS, Jensen JS, Waites KB. New horizons in Mycoplasma genitalium treatment. J Infect Dis 2017;216:S412-9. Crossref
33. Read TR, Jensen JS, Fairley CK, et al. Use of pristinamycin for macrolide-resistant Mycoplasma genitalium infection. Emerg Infect Dis 2018;24:328-35. Crossref

Comparison of carbetocin and oxytocin infusions in reducing the requirement for additional uterotonics or procedures in women at increased risk of postpartum haemorrhage after Caesarean section

Hong Kong Med J 2020 Oct;26(5):382–9  |  Epub 8 Oct 2020
Hong Kong Academy of Medicine. CC BY-NC-ND 4.0
 
ORIGINAL ARTICLE
Comparison of carbetocin and oxytocin infusions in reducing the requirement for additional uterotonics or procedures in women at increased risk of postpartum haemorrhage after Caesarean section
KY Tse, MB, BS, MRCOG; Florrie NY Yu, FHKAM (Obstetrics and Gynaecology); KY Leung, FRCOG
Department of Obstetrics and Gynaecology, Queen Elizabeth Hospital, Hong Kong
 
Corresponding author: Dr KY Tse (barontse@hotmail.com)
 
 Full paper in PDF
 
Abstract
Introduction: Postpartum haemorrhage is a major cause of maternal mortality and morbidity, commonly due to uterine atony. Prophylactic oxytocin use during Caesarean section is recommended; patients with a high risk of postpartum haemorrhage may require additional uterotonics or procedures. Carbetocin is a long-acting analogue of oxytocin which has shown beneficial results, compared with oxytocin. This study compared the requirement for additional uterotonics or procedures between at-risk women who underwent carbetocin infusion and those who underwent oxytocin infusion.
 
Methods: This retrospective cohort study included women at increased risk of postpartum haemorrhage after Caesarean section for various indications in a public hospital. Women who received carbetocin infusion and women who received oxytocin infusion were compared, stratified by Caesarean section timing (elective or emergency). The primary outcome was the requirement for additional uterotonic agents or procedures. Secondary outcomes included total blood loss, operating time, rate of postpartum haemorrhage, need for blood transfusion, and need for hysterectomy.
 
Results: Of 1236 women included in the study, 752 received oxytocin first and 484 received carbetocin first. The two groups had comparable blood loss, operating time, rate of postpartum haemorrhage, requirement for additional uterotonics or procedures, need for blood transfusion, and need for hysterectomy. There was a reduction in the requirement for additional uterotonics or procedures, and in the rate of postpartum haemorrhage for women with major placenta praevia or with multiple pregnancies, following receipt of carbetocin first.
 
Conclusion: Compared with oxytocin, carbetocin can reduce the requirement for additional uterotonics or procedures in selected high-risk patient groups.
 
 
New knowledge added by this study
  • The use of carbetocin reduced the requirement for additional uterotonics or procedures in women with major placenta praevia and in women with multiple pregnancies.
  • Infusions of carbetocin and oxytocin had differential effects on the requirement for additional uterotonics or procedures in women who underwent Caesarean section for different indications.
  • Women who received carbetocin infusion had similar blood loss, operating time, rate of postpartum haemorrhage, requirement for additional uterotonics or procedures, need for blood transfusion, and need for hysterectomy, compared with women who received oxytocin infusion.
Implications for clinical practice or policy
  • Carbetocin may be appropriate for women undergoing Caesarean section for major placenta praevia or multiple pregnancies.
  • Oxytocin may be appropriate for women undergoing Caesarean section for other indications.
  • There is a need to investigate the cost-effectiveness of carbetocin, which will aid clinicians in treatment selection.
 
 
Introduction
Postpartum haemorrhage is the major cause of maternal death and morbidity worldwide,1 commonly due to uterine atony (approximately 70% of cases).2 This type of haemorrhage is defined as blood loss of at least 500 mL after vaginal delivery and blood loss of >1000 mL after Caesarean section.3 Oxytocin (with or without ergometrine) is the current standard therapy for the prevention of postpartum haemorrhage; it is a peptide hormone secreted by the posterior pituitary gland, which stimulates myometrial contraction in the second and third stages of labour. However, failure of postpartum haemorrhage prophylaxis with oxytocin (as demonstrated by the need for a rescue uterotonic) occurs commonly, necessitating the use of further oxytocin or other treatments to maintain haemodynamic stability.4
 
Carbetocin is a synthetic analogue of oxytocin which has a longer half-life than oxytocin, thus reducing the requirement for an infusion after the initial dose. This difference in structure, compared with oxytocin, makes carbetocin more stable; thus, carbetocin can avoid early decomposition by disulfidase, aminopeptidase, and oxidoreductase enzymes. Compared with oxytocin, carbetocin induces a prolonged uterine response, in terms of both amplitude and frequency of contractions, when administered postpartum.5
 
A Cochrane review in 2012 found that carbetocin reduced the use of additional uterotonics and uterine massage, when compared with oxytocin.3 In 2018, a meta-analysis involving seven trials showed that carbetocin was effective in reducing the use of additional uterotonics, as well as in reducing postpartum haemorrhage and transfusion, when used during Caesarean section.6 A recent meta-analysis involving 30 trials has shown that carbetocin is effective in reducing the need for additional uterotonic use and postpartum blood transfusion in women at increased risk of postpartum haemorrhage after Caesarean delivery.7 Another recent meta-analysis involving nine trials has shown that carbetocin is associated with a 53% reduction in the need for additional uterotonics, when compared with oxytocin, at the time of elective Caesarean delivery.8 The use of carbetocin has been recommended in elective Caesarean sections by the Royal College of Obstetricians and Gynaecologists9 and the Society of Obstetricians and Gynaecologists of Canada.10
 
In one meta-analysis,6 heterogeneity was found in the use of dose of oxytocin, which ranged from 2 IU to 10 IU of bolus oxytocin to infusions of 20 to 30 IU, and in the indications for Caesarean section. In a study of 1568 Chinese women who underwent Caesarean section for different indications, carbetocin and oxytocin were found to have differential effects on postpartum haemorrhage and related changes.6 However, to the best of our knowledge, most studies have compared the differential therapeutic effects of carbetocin and oxytocin in the general population or in low-risk groups. Carbetocin is a relatively more expensive drug than conventional synthetic oxytocin (eg, Syntocinon), and there has not been sufficient evidence from cost-effectiveness studies to support its use in all patients. The use of carbetocin is therefore limited to certain high-risk populations in some institutions, including our hospital. The aim of the present study was to compare effectiveness between carbetocin and oxytocin in terms of reducing the requirement for additional uterotonics in women at increased risk of postpartum haemorrhage after Caesarean section.
 
Methods
This study was conducted at the Department of Obstetrics and Gynaecology, Queen Elizabeth Hospital, Hong Kong, from 1 January 2016 to 30 June 2019; during this period, 5994 pregnant women underwent Caesarean section in our hospital. Demographic characteristics, obstetric histories, risk factors, and perinatal outcomes were collected. The study was approved by the Hospital Authority Research Ethics Committee (Kowloon Central/Kowloon East) [KC/KE-20-0073/ER-1].
 
The inclusion criteria were women who underwent Caesarean section for live birth after 24 weeks of completed gestation during the aforementioned time period, with high risk of developing postpartum haemorrhage (including placenta praevia, presence of uterine fibroids, multiple pregnancies, polyhydramnios, and macrosomia), excluding patients with low risk (n=4758, of whom 96 had low risk but received oxytocin and carbetocin after identification of postpartum haemorrhage). Patients who received both oxytocin and carbetocin were assigned to the group where the first drug (oxytocin or carbetocin) was used for prevention of postpartum haemorrhage, then considered to require additional uterotonics (carbetocin or oxytocin).
 
In our hospital, the implementation of carbetocin began in April 2017. Prior to the implementation of carbetocin, women who were presumed to have a low risk of postpartum haemorrhage were administered 10 IU oxytocin intravenous bolus after delivery of the baby during Caesarean section; women who were presumed to have a high risk of postpartum haemorrhage were administered 40 IU oxytocin intravenous infusion over the course of 5 hours for a longer protective effect. Depending on the clinical response, further infusion of oxytocin might be indicated. Following the implementation of carbetocin, we have revised our protocol to administer the drug 100 μg intravenously over 1 minute for a single dose after delivery of the baby, for women with a high risk of postpartum haemorrhage (ie, with the aforementioned risk factors) or for women who required such treatment in accordance with the obstetrician’s judgement. Contra-indications included hypersensitivity to carbetocin, timing prior to delivery of the baby, vascular disease (especially coronary artery disease), and hepatic or renal disease. The use of blood transfusion, additional uterotonic agents (eg, carboprost 250 μg intramuscularly or intramyometrially, misoprostol 800 μg rectally, oxytocin infusion after carbetocin, or carbetocin after oxytocin infusion), obstetric balloon tamponade, compression suture, uterine artery embolisation, uterine artery ligation, or hysterectomy was based on the control of postpartum haemorrhage and the patient’s vital signs, as well as the attending obstetrician’s judgement.
 
In this study, we subdivided the patients according to risk factors. We then analysed each patient group separately: patients who underwent elective Caesarean section (ie, those who underwent Caesarean section before labour onset) versus patients who underwent emergency Caesarean section (ie, those who either underwent intrapartum Caesarean section, or who underwent Caesarean section prior to the scheduled elective date for reasons such as heavy antepartum haemorrhage).
 
The primary outcome was the requirement for additional uterotonic agents or haemostatic procedures (carboprost, misoprostol, oxytocin infusion after carbetocin, carbetocin after oxytocin infusion, obstetric balloon tamponade, uterine artery embolisation, or uterine artery ligation). Secondary outcomes were estimated blood loss, rate of postpartum haemorrhage, operating time, the need for blood transfusion, and the need for hysterectomy. Blood loss was estimated by measuring the volume within the suction bottle and the uptake in surgical drapes, pads, and gauzes. Postpartum haemorrhage was defined as blood loss >1000 mL during or immediately after the operation.
 
Statistical analysis was performed using IBM SPSS Statistics for Windows, version 20.0 (IBM Corp, Armonk [NY], United States). Continuous variables were expressed as the mean±standard deviation and compared by Student’s t test. Qualitative data were expressed as number (percentage) and compared by the Chi squared test or Fisher’s exact test. A P value of <0.05 was considered statistically significant. Linear regression and multiple logistic regression were used to control for potential confounding factors when assessing the associations of carbetocin treatment with primary outcomes. Potential confounding factors included age, parity, fetal body weight, gestation, and order of pregnancy. Unstandardised regression coefficients, adjusted odds ratios, and associated 95% confidence intervals were calculated to estimate relative risk.
 
Results
Of 5994 pregnant women who underwent Caesarean sections during the study period, 4758 were excluded because they were at low risk of postpartum haemorrhage. Of the remaining 1236 women who met the criteria for inclusion in the study, 752 received oxytocin first and 484 received carbetocin first. Compared with women who received oxytocin first, women who received carbetocin first had earlier gestation, lower neonatal birth weight, and a greater proportion of twins or higher order pregnancy (Table 1). The two groups had comparable blood loss, operating time, rate of postpartum haemorrhage, requirement for additional uterotonics and procedures, need for blood transfusion, and need for hysterectomy (Table 2).
 

Table 1. Maternal demographics of the study population
 

Table 2. Comparisons of the effects of oxytocin and carbetocin treatments on obstetric outcomes in all patients with high risk of postpartum haemorrhage
 
Significant reductions in the rate of postpartum haemorrhage and in the requirement for additional uterotonics or procedures were observed among women with multiple pregnancies (Table 3a) and women with major placenta praevia (Table 3b). Significant reductions in total blood loss were also observed for women with multiple pregnancies and women with major placenta praevia in the emergency Caesarean group. Additionally, the rate of hysterectomy was significantly reduced in women with multiple pregnancies in the emergency Caesarean group.
 

Table 3. Comparisons of the effects of oxytocin and carbetocin treatment on obstetric outcomes in patients with various risk factors
 
For women with minor placenta praevia (Table 3c), fibroids (Table 3d), macrosomia (Table 3e), or polyhydramnios (Table 3f), no significant differences in total blood loss, operating time, rate of postpartum haemorrhage, requirement for additional uterotonics, need for blood transfusion, or need for hysterectomy were observed between the two groups.
 
After adjustments for confounding effects, linear regression analysis revealed reductions in the rate of postpartum haemorrhage and in the requirement for additional uterotonics or procedures for Caesarean section in women with major placenta praevia and in women with multiple pregnancies, but not for other risk factors (Table 4).
 

Table 4. Linear regression and multiple logistic regression analysis regarding associations between carbetocin treatment and obstetric outcomes
 
No serious side-effects were reported after the use of carbetocin.
 
Discussion
This study showed that the general cohort of women with risk factors for postpartum haemorrhage who received carbetocin treatment exhibited comparable blood loss, rate of postpartum haemorrhage, requirement for additional uterotonics or procedures, need for blood transfusion, and need for hysterectomy, compared with oxytocin treatment. Our results are inconsistent with the findings of previous studies,11 12 13 14 in which there were reductions in blood loss and risk of postpartum haemorrhage among women in the general population following receipt of carbetocin alone, compared with oxytocin alone. We presume that the difference was related partly to the use of different oxytocin regimens. In particular, 40 IU oxytocin infusion (greater than the effective dose of carbetocin, 10 IU oxytocin) was used in the present study, whereas a smaller dose of oxytocin infusion of 10 to 20 IU or a bolus of 5 IU was used in previous studies.4 15 16 Furthermore, the indications for Caesarean section might have differed between the present study and the prior studies. Notably, carbetocin and oxytocin have been shown to exert differential effects on postpartum haemorrhage and related changes in patients undergoing Caesarean section for different indications.6
 
When we analysed individual risk factors for postpartum haemorrhage, we found significant reductions in the use of additional uterotonics or procedures and in the rate of postpartum haemorrhage in women with major placenta praevia and in women with multiple pregnancies. We also observed a significant reduction in total blood loss in the emergency Caesarean section group for both women with major placenta praevia and women with multiple pregnancies. Our results are consistent with the findings of a previous study in which lower haemoglobin and haematocrit differences were found in women who received carbetocin treatment during Caesarean section due to multiple gestation or placenta praevia, compared with women who received oxytocin treatment.15 Carbetocin can induce strong contraction of an overdistended uterus associated with twin pregnancies.16 However, a study in 2013 did not show beneficial effects of carbetocin administration.17 The sample size was small in that study and its design comprised a retrospective before-and-after analysis. Additionally, we presume that the beneficial effect of carbetocin in reduction of bleeding in women with placenta praevia might be related to its effectiveness in stimulating the retroplacental myometrium.18 Carbetocin can shorten the third stage, prevent and treat retained placenta at term, and prevent and treat second trimester abortion.19 However, our results were inconsistent with the findings of a previous study, in which the additional effects of carbetocin were presumed to be trivial because of thinning in the lower uterine myometrium, thereby reducing the immunoreactivity of oxytocin receptors relative to the upper part of the uterus.20
 
We noted that the significant differences in outcomes between treatments were mainly due to the contributions of the emergency Caesarean section group. Previous studies have largely demonstrated beneficial effects from carbetocin treatment in women undergoing elective Caesarean section, but not in women undergoing intrapartum Caesarean section.15 21 A possible explanation might be that emergency Caesarean sections were performed before the date of scheduled Caesarean section date; hence, the gestational age and fetal weight were typically lower at the time of the operation.
 
The greatest strength of this study was that it included a relatively large sample size, which comprised 1236 patients in one hospital with standard protocols. There were a few limitations in this study. First, it used single-centre, retrospective design. Second, complete blood count data were not routinely collected before delivery during the study period, so these data could not be compared among subgroups. Third, the implementation of carbetocin began in April 2017. Since this implementation, most patients with the risk factors considered in this study were administered carbetocin instead of oxytocin infusion, in accordance with our department protocol. This led to a comparison between different time frames, during which there were changes in medical personnel and training. Finally, judgement regarding the use of additional uterotonic agents and transfusion may have differed among attending physicians.
 
In clinical practice, the use of carbetocin has been acknowledged in guidelines from the Society of Obstetricians and Gynaecologists of Canada10 and the Royal College of Obstetricians and Gynaecologists.9 We recommend the use of carbetocin during Caesarean section for women with multiple pregnancies and major placenta praevia, based on the beneficial effects demonstrated in the present study and in prior studies.15 In women with other risk factors for postpartum haemorrhage, we recommend the use of oxytocin infusion, instead of carbetocin.15 Larger studies or prospective trials are needed to investigate the effectiveness of carbetocin during Caesarean section for different indications and in women with risk factors for postpartum haemorrhage; such studies are also needed to establish the cost-effectiveness of this relatively new drug.
 
In conclusion, we found that carbetocin and oxytocin infusion had differential effects on the requirement for additional uterotonics or procedures in women who underwent Caesarean section for different indications. In particular, compared with oxytocin infusion, carbetocin was associated with a reduction in the requirement for additional uterotonics or procedures for women with multiple pregnancies and women with major placenta praevia.
 
Author contributions
Concept or design: All authors.
Acquisition of data: KY Tse, FNY Yu.
Analysis or interpretation of data: KY Tse, FNY Yu.
Drafting of the manuscript: KY Tse, KY Leung.
Critical revision of the manuscript for important intellectual content: KY Tse, KY Leung.
 
All authors had full access to the data, contributed to the study, approved the final version for publication, and take responsibility for its accuracy and integrity.
 
Conflicts of interest
As an editor of the journal, KY Leung was not involved in the peer review process. Other authors have no conflicts of interests to disclose.
 
Funding/support
This study did not receive any specific grant from funding agency in the public or commercial sectors.
 
Ethics approval
This study was approved by the Hospital Authority Kowloon Central/Kowloon East Research Ethics Committee (Ref KC/KE-20-0073/ER-1).
 
References
1. Say L, Chou D, Gemmill A, et al. Global causes of maternal death: a WHO systematic analysis. Lancet Glob Health 2014;2:e323-33. Crossref
2. Anderson JM, Etches D. Prevention and management of postpartum haemorrhage. Am Fam Physician 2007;75:875- 82.
3. Su LL, Chong YS, Samuel M. Carbetocin for preventing postpartum haemorrhage. Cochrane Database Syst Rev 2012;(4):CD005457. Crossref
4. Fahmy NG, Yousef HM, Zaki HV. Comparative study between effect of carbetocin and oxytocin on isofluraneinduced uterine hypotonia in twin pregnancy patients undergoing cesarean section. Egypt J Anaesth 2016;32:117- 21. Crossref
5. Hunter DJ, Schulz P, Wassenaar W. Effect of carbetocin, a long-acting oxytocin analog on the postpartum uterus. Clin Pharmacol Ther 1992;52:60-7. Crossref
6. Voon HY, Suharjono HN, Shafie AA, Bujang MA. Carbetocin versus oxytocin for the prevention of postpartum hemorrhage: a meta-analysis of randomized controlled trials in cesarean deliveries. Taiwan J Obstet Gynecol 2018;57:332-9. Crossref
7. Kalafat E, Gokce A, O’Brien P, et al. Efficacy of carbetocin in the prevention of postpartum hemorrhage: a systematic review and Bayesian meta-analysis of randomized trials. J Matern Fetal Neonatal Med 2019 Sep 19. Epub ahead of print. Crossref
8. Onwochei DN, Van Ross J, Singh PM, Salter A, Monks DT. Carbetocin reduces the need for additional uterotonics in elective Caesarean delivery: a systematic review, meta-analysis and trial sequential analysis of randomised controlled trials. Int J Obstet Anesth 2019;40:14-23. Crossref
9. Mavrides E, Allard S, Chandraharan E, et al. Prevention and management of postpartum haemorrhage. Green-top Guideline No. 52. BJOG 2016;124:e106-49. Crossref
10. Leduc D, Senikas V, Lalonde AB. No. 235–Active management of the third stage of labour: prevention and treatment of postpartum hemorrhage. J Obstet Gynaecol Can 2018;40:e841-55. Crossref
11. El Behery MM, El Sayed GA, El Hameed AA, Soliman BS, Abdelsalm WA, Bahaa A. Carbetocin versus oxytocin for prevention of postpartum hemorrhage in obese nulliparous women undergoing emergency cesarean delivery. J Matern Fetal Neonatal Med 2016;29:1257-60. Crossref
12. Chen CY, Su YN, Lin TH, et al. Carbetocin in prevention of postpartum hemorrhage: experience in a tertiary medical center of Taiwan. Taiwan J Obstet Gynecol 2016;55:804-9. Crossref
13. Mohamed Maged A, Ragab AS, Elnassery N, Ai Mostafa W, Dahab S, Kotb A. Carbetocin versus syntometrine for prevention of postpartum hemorrhage after cesarean section. J Matern Fetal Neonatal Med 2017;30:962-6. Crossref
14. Borruto F, Treisser A, Comparetto C. Utilization of carbetocin for prevention of postpartum hemorrhage after cesarean section: a randomized clinical trial. Arch Gynecol Obstet 2009;280:707-12. Crossref
15. Chen YT, Chen SF, Hsieh TT, Lo LM, Hung TH. A comparison of the efficacy of carbetocin and oxytocin on hemorrhage-related changes in women with cesarean deliveries for different indications. Taiwan J Obstet Gynecol 2018;57:677-82. Crossref
16. Seow KM, Chen KH, Wang PH, Lin YH, Kwang JL. Carbetocin versus oxytocin for prevention of postpartum hemorrhage in infertile women with twin pregnancy undergoing elective cesarean delivery. Taiwan J Obstet Gynecol 2017;56:273-5. Crossref
17. Demetz J, Clougueur E, D’Haveloose A, Staelen P, Ducloy AS, Subtil D. Systematic use of carbetocin during cesarean delivery of multiple pregnancies: a before-and-after study. Arch Gynecol Obstet 2013;287:875-80. Crossref
18. Abbas AM. Different routes and forms of uterotonics for treatment of retained placenta: methodological issues. J Matern Fetal Neonatal Med 2017;30:2179-84. Crossref
19. Elfayomy AK. Carbetocin versus intra-umbilical oxytocin in the management of retained placenta: a randomized clinical study. J Obstet Gynaecol Res 2015;41:1207-13. Crossref
20. Kato S, Tanabe A, Kanki K, et al. Local injection of vasopressin reduces the blood loss during cesarean section in placenta previa. J Obstet Gynaecol Res 2014;40:1249-56. Crossref
21. Elbohoty AE, Mohammed WE, Sweed M, Bahaa Eldin AM, Nabhan A, Abd-El-Maeboud KH. Randomized controlled trial comparing carbetocin, misoprostol, and oxytocin for the prevention of postpartum hemorrhage following an elective cesarean delivery. Int J Gynaecol Obstet 2016;34:324-8. Crossref

Burden of pneumococcal disease: 8-year retrospective analysis from a single centre in Hong Kong

Hong Kong Med J 2020 Oct;26(5):372–81  |  Epub 9 Jul 2020
Hong Kong Academy of Medicine. CC BY-NC-ND 4.0
 
ORIGINAL ARTICLE
Burden of pneumococcal disease: 8-year retrospective analysis from a single centre in Hong Kong
MY Man, MB, BS, FHKAM (Medicine)1; HP Shum, MB, BS, MD1; Judianna SY Yu, MB, BS, MRCP (UK)2; Alan Wu, MB, ChB, FRCPath (UK)3; WW Yan, FRCP, FHKAM (Medicine)1
1 Department of Intensive Care, Pamela Youde Nethersole Eastern Hospital, Hong Kong
2 Department of Medicine and Geriatrics, Ruttonjee and Tang Shiu Kin Hospital, Hong Kong
3 Department of Clinical Pathology, Pamela Youde Nethersole Eastern Hospital, Hong Kong
 
Corresponding author: Dr MY Man (mmy553@ha.org.hk)
 
 Full paper in PDF
 
Abstract
Purpose: Streptococcus pneumoniae is a common pathogen involved in community-acquired pneumonia. Invasive pneumococcal disease is often associated with higher co-morbidity rates, but mortality-related findings have been inconclusive. This study investigated predictors of 30-day mortality and invasive pneumococcal disease.
 
Methods: This retrospective analysis included adults with pneumococcal disease who were admitted to Pamela Youde Nethersole Eastern Hospital from 1 January 2011 to 31 December 2018. Demographics, microbiological characteristics, and outcomes were compared between 30-day survivors and non-survivors, and between patients with invasive disease and those with non-invasive disease. Intensive care unit (ICU) subgroup analysis was performed. The primary outcome was 30-day all-cause mortality; secondary outcomes were ICU and hospital mortalities, and ICU and hospital lengths of stay.
 
Results: In total, 792 patients had pneumococcal disease; 701 survived and 91 (11.5%) died within 30 days. Notably, 106 (13.4%) patients had invasive pneumococcal disease and 170 (21.5%) patients received intensive care. Vasopressor use (odds ratio [OR]=4.96, P<0.001), chronic kidney disease (OR=3.62, P<0.001), positive urinary antigen test results (OR=2.57, P=0.001), and advanced age (OR=2.19, P=0.010) were independent predictors for 30-day mortality by logistic regression analysis. Among critically ill patients, chronic kidney disease (OR=4.64, P<0.001), higher APACHE IV score (OR=3.73, P=0.016), and positive urinary antigen test results (OR=2.94, P=0.008) were predictors for 30-day mortality. Logistic regression analysis revealed that chronic kidney disease (OR=3.10, P<0.001) was a risk factor for invasive pneumococcal disease.
 
Conclusion: Advanced age, vasopressor use, chronic kidney disease, and positive urinary antigen test results were independent predictors for 30-day mortality in patients with pneumococcal disease.
 
 
New knowledge added by this study
  • This is one of the largest studies thus far regarding pneumococcal infection in Hong Kong; it also includes an analysis of critically ill patients.
  • Invasive pneumococcal disease was associated with greater disease severity and higher rates of invasive organ support. Positive urinary pneumococcal antigen test results were associated with increased 30-day mortality rates in all patients, as well as patients in the intensive care unit.
  • The 30-day mortality predictors of pneumococcal disease included vasopressor use, chronic kidney disease, positive urinary antigen test results, and advanced age.
Implications for clinical practice or policy
  • Invasive pneumococcal disease is associated with more severe disease and higher mortality rates. Rapid identification and treatment can improve patient outcomes.
  • Increasing use of the urinary antigen test was observed during the study period. A positive urinary antigen test result can serve as an independent predictor for 30-day mortality in all patients, as well as patients in the intensive care unit.
 
 
Introduction
Streptococcus pneumoniae causes a wide range of diseases that include middle ear infection, sinusitis, pneumonia, and meningitis. As one of the most common pathogens in community-acquired pneumonia (especially in Western countries), S pneumoniae infection contributed to 1.6 million deaths in 2010 and 3.7 million severe pneumococcal infections worldwide in 2015.1 2 3
 
Streptococcus pneumoniae is a gram-positive encapsulated bacterium that colonises human nasopharynx and is mainly transmitted via respiratory droplets, which cause middle ear and respiratory tract infection. Thus far, more than 90 serotypes of S pneumoniae have been identified. Streptococcus pneumoniae infection can be stratified into invasive and non-invasive disease.4 5 Invasive pneumococcal disease (IPD) is a notifiable disease in Hong Kong. In 2019, there were 187 cases; the incidence has remained similar over the past few years.6 Worldwide, there is growing concern regarding drug-resistant S pneumoniae strains (eg, strains resistant to macrolide, penicillin, and/or fluoroquinolone). However, drug-resistant strains have not been associated with higher mortality rates.7 The prevalence of drug-resistant S pneumoniae is lower in Southeast Asia than in Western countries.1 Despite inconclusive evidence in the literature regarding its association with mortality, IPD is often associated with more severe disease and requires more invasive organ support.8
 
In this study, we aimed to identify the predictors for 30-day mortality in patients with S pneumoniae infection, as well as predictors for IPD. We also performed subgroup analysis of patients in the intensive care unit (ICU) and identified risk factors for 30-day mortality and IPD in those patients, as well as all patients with S pneumoniae infection.
 
Methods
Study design and data collection
This retrospective cohort study included adults who were admitted to Pamela Youde Nethersole Eastern Hospital, Hong Kong, with pneumococcal infection from 1 January 2011 to 31 December 2018. Patients who were aged <18 years or had incomplete data were excluded.
 
Patient medical records and data were extracted from clinical management systems and clinical information systems (IntelliVue Clinical Information Portfolio; Philips Medical, Amsterdam, The Netherlands). Baseline demographics, clinical characteristics, and microbiological data were identified. For patients in the ICU, disease severity was quantified using APACHE (Acute Physiology and Chronic Health Evaluation) IV scores. The use of invasive organ support was recorded, including continuous renal replacement therapy, inotropes, invasive mechanical ventilation, and extracorporeal membrane oxygenation. The primary outcome was 30-day all-cause mortality; secondary outcomes were ICU and hospital mortalities, ICU and hospital length of stay (LOS), and ICU ventilator days.
 
Definitions
Pneumococcal infection was determined by positive culture of S pneumoniae. Invasive pneumococcal disease was defined as the presence of S pneumoniae in sterile sites (eg, pleural fluid, cerebrospinal fluids, and blood).4 8 Non-invasive pneumococcal disease was defined as the presence of S pneumoniae in non-sterile sites, or a positive urinary antigen test (UAT) result. Medical co-morbidities (eg, diabetes mellitus, chronic kidney disease, heart failure, and haematological malignancies) were coded in accordance with the International Classification of Diseases, Ninth Revision, Clinical Modification. Smokers were defined as those who had ever smoked. Advanced age was defined as age >65 years.
 
Microbiology
Antibiotic resistance was determined based on Clinical and Laboratory Standards Institute testing criteria for minimal inhibitory concentrations. Breakpoints adopted for determination of parenteral penicillin resistance in non-meningitis S pneumoniae isolates were susceptible, ≤2 μg/mL; intermediate, 4 μg/mL; and resistance, ≥8 μg/mL.9 Breakpoints adopted for determination of parenteral penicillin resistance in meningitis S pneumoniae isolates were susceptible, ≤0.06 μg/mL and resistance, ≥0.12 μg/mL; breakpoints adopted for determination of levofloxacin resistance in S pneumoniae were susceptible, ≤2 μg/mL; intermediate, 4 μg/mL; and resistance, ≥8 μg/mL.9
 
Urinary antigen test (Alere 710-012 BinaxNOW Streptococcus) results were evaluated in accordance with the manufacturer’s instructions.
 
Statistical analysis
Characteristics and clinical parameters were compared between patients with IPD and those with non-invasive pneumococcal disease, as well as between 30-day survivors and non-survivors. Results were expressed as median (interquartile range) or as numbers (percentages) of cases, as appropriate. For univariate analysis, categorical variables were compared by Pearson Chi squared tests or Fisher’s exact test, as appropriate; continuous variables were compared by using the Mann-Whitney U test. Variables with P<0.2 in univariate analysis or with known clinical significance from previous studies were entered into multivariate analysis. Independent predictors for 30-day mortality and independent predictors for IPD were assessed by logistic regression analysis.8 10 11 12 Subgroup analysis was performed regarding IPD and disease severity among patients in the ICU. Hosmer-Lemeshow test was performed for goodness-of-fit for logistic regression models. Kaplan-Meier survival plots were used to compare cumulative survival between patients with IPD and those with non-invasive pneumococcal disease. SPSS (Mac version 24.0; IBM Corp, Armonk [NY], United States) was used for all statistical analyses.
 
Results
Patient demographic and clinical characteristics, including co-morbidities and use of invasive organ support, are shown in Table 1. In total, 792 patients with pneumococcal disease were identified during the 8-year study period. The median age was 73 years; patients were predominantly men. Most patients exhibited respiratory tract infection (96.1%) and approximately one quarter of patients had asthma/chronic obstructive pulmonary disease (24.4%). In total, 170 patients received intensive care and 14.1% required invasive mechanical ventilation; 28% required vasopressor use. Invasive pneumococcal disease was present in 13.4% of the patients. The overall hospital mortality rate was 11.2%, while the mortality rate among patients in the ICU was 22.9%.
 

Table 1. Clinical predictors of 30-day mortality in patients with pneumococcal disease
 
Invasive pneumococcal disease was associated with a higher 30-day mortality rate (28.6% vs 11.4%, P<0.001); a positive UAT result was also associated with a higher 30-day mortality rate (36.3% vs 12.7%, P<0.001). Logistic regression analysis identified statistically significant predictors for 30-day mortality, which are shown in Table 1. Patients with vasopressor use (odds ratio [OR]=4.96, P<0.001), chronic kidney disease (OR=3.62, P<0.001), a positive UAT result (OR=2.57, P=0.001), and older age (OR=2.19, P=0.010) exhibited comparatively higher 30-day mortality rates; however, asthma/chronic obstructive pulmonary disease was not an independent predictor for mortality in logistic regression analysis. The Figure depicts the results of Kaplan-Meier survival analysis comparing patients with IPD and those with non-invasive pneumococcal disease.
 

Figure. Kaplan-Meier survival plot of invasive pneumococcal disease
 
Table 2 shows the characteristics of patients with IPD and those with non-invasive pneumococcal disease. More patients with asthma/chronic obstructive pulmonary disease exhibited non-invasive pneumococcal disease (26.5% vs 10.4%, P<0.001). Invasive pneumococcal disease was more likely to be associated with renal failure (27.4% vs 9.6%, P<0.001) and haematological malignancy (5.7% vs 1.7%, P=0.012). Additionally, IPD was associated with higher rates of ICU admission (33.0% vs 19.7%, P=0.002), renal replacement therapy (16.0% vs 4.8%, P<0.001), and vasopressor use (93.4% vs 17.9%, P<0.001). Patients with IPD had a higher 30-day mortality rate (24.5% vs 9.5%, P<0.001) and longer hospital LOS (8 vs 4 days, P<0.001). Independent risk factors for IPD by logistic regression analysis are shown in Table 2, along with their ORs. Notably, chronic kidney disease (OR=3.10, P<0.001) was the sole independent predictor for IPD.
 

Table 2. Clinical characteristics of patients with invasive and non-invasive pneumococcal disease
 
The results of ICU subgroup analysis are shown in Table 3. Respiratory tract infection constituted 93.5% of all S pneumoniae infections. The rate of IPD was 20.6% among patients in the ICU with S pneumoniae infection, which was higher than the rate among all patients with S pneumoniae infection. Further analysis revealed that IPD was associated with higher rates of complications and invasive organ support; in particular, more patients with IPD required renal replacement therapy (48.6% vs 24.4%, P=0.005) and vasopressor use (100% vs 88.9%, P=0.039). Additionally, more patients with IPD tended to exhibit pleural effusion/empyema, although this difference was not statistically significant. Patients who required invasive mechanical ventilation (76.0% vs 57.5%, P=0.023), extracorporeal membrane oxygenation (14.0% vs 5.0%, P=0.044), renal replacement therapy (48.0% vs 21.7%, P=0.001), and vasopressor use (98.0% vs 88.3%, P=0.043) exhibited significantly higher 30-day mortality rates. Logistic regression analysis showed that chronic kidney disease (OR=4.64, P<0.001), higher APACHE IV score (OR=3.73, P=0.016), and a positive UAT result (OR=2.94, P=0.008) were independent predictors for 30-day mortality among patients in the ICU who had IPD (Table 3).
 

Table 3. Clinical predictors for 30-day mortality in the intensive care unit subgroup
 
Discussion
Medical co-morbidity and mortality
The overall mortality rate was 28.6% for patients with IPD and 11.4% for patients without IPD. The case fatality rate in our cohort was higher than that in a previous cohort from the Netherlands, but similar to the rate in a previous study from Korea.5 13 A higher number of co-morbid diseases, worse immune function, impaired mucociliary clearance, and older age are associated with a higher risk of mortality in patients with pneumococcal infection.4
 
Chronic conditions such as chronic lung disease, heart failure, and diabetes, as well as smoking status, were previously shown to be associated with pneumococcal disease and IPD.10 11 Consistent with the results of prior studies, we found that patients with heart failure (8.8% vs 3.3%, P=0.011) and haematological malignancies (5.7% vs 1.7%, P=0.012) exhibited significantly higher 30-day mortality rates in univariate analysis. Surprisingly, we found a negative association between chronic lung disease and mortality. In post-hoc analysis, we found that patients with chronic lung disease (ie, asthma/chronic obstructive pulmonary disease) also had a lower rate of invasive organ support (15.0% vs 32.7%, P<0.001). This group of patients may be under constant medical surveillance; thus, they may seek medical attention and receive antibiotics earlier than patients without chronic lung disease. Importantly, we did not examine the management and status of underlying lung conditions, which may have affected mortality in these patients.
 
Pneumococcal urinary antigen test
In our cohort, 122 patients were diagnosed with pneumococcal infection by using the UAT. In our hospital, the first patient was diagnosed by using the UAT in 2015. Use of the UAT in diagnosing community-acquired pneumonia has since increased; thus, in 2018, 71 of 146 patients (48.6%) were diagnosed by using the UAT. A positive UAT result was a consistent independent predictor for 30-day mortality among patients in the ICU, as well as among all patients. Post-hoc analysis showed that a positive UAT result was significantly associated with ICU admission (34.7% vs 10.1%, P<0.001). However, it was not significantly associated with ICU LOS (6.16 vs 8.43 days, P=0.515) or hospital LOS (21.46 vs 29.78 days, P=0.415).
 
The pneumococcal UAT assay detects the C-polysaccharide antigen of S pneumoniae, which is present in all serotypes, from urine samples.14 Fluorescence immunoassay and immunochromatographic test methods provide similar results in terms of diagnosing pneumococcal disease.15 While the UAT result remains positive for up to 3 days after initiation of antibiotic treatment, the UAT increases the diagnostic yield of pneumococcal disease relative to the yield of sputum culture of S pneumoniae; notably, the yield of such sputum cultures markedly decreases after initiation of antibiotic treatment.16 This test provides a rapid and simple method for diagnosis of patients with suspected S pneumoniae infection; it is particularly helpful in the diagnosis of patients who cannot produce sputum for cultures. The test sensitivity and specificity were approximately 60% and 99%, respectively.16 Because of the high test specificity, the UAT helps to reduce the costs of further diagnostic tests and aids in selection of empirical antibiotic treatment. It is recommended in the Infectious Diseases Society of America/American Thoracic Society guidelines for aiding the rapid identification of pneumococcal disease in adults.17 Urinary antigen tests were also found to predict the severity and outcomes of pneumonia. A Korean group found that patients with positive UAT results exhibited greater severity of disease; however, the test results were associated with rates of ICU admission and mortality.14
 
Counterindications for the UAT include recent pneumococcal disease within 3 months; moreover, it may cross-react with antigens from other streptococcal bacteria.16 18 Patients with acute kidney injury due to sepsis, as well as those with oliguria or anuria of various aetiologies may not be able to provide urine samples for use in the UAT.
 
Invasive pneumococcal disease
In our cohort, IPD was associated with a higher 30-day mortality rate; however, this association did not remain statistically significant in logistic regression analysis. Consistent with the results of previous studies,8 12 we found that patients with IPD exhibited more severe disease and worse outcomes. Moreover, IPD was associated with higher rates of ICU admission, invasive organ support (ie, vasopressor use), and renal replacement therapy, as well as longer hospital LOS. The findings might be explained by the higher bacterial load in patients with IPD, which may lead to worse outcomes.
 
Similar to the study by Ceccato et al,8 we did not identify a positive relationship between smoking and IPD. Thus far, results regarding the relationship of smoking with IPD have been inconsistent; the association varies according to local smoking prevalence.11 With the implementation of effective smoking cessation programmes and corresponding legislation in Hong Kong, approximately 10% of individuals >15 years of age report daily cigarette consumption; this is markedly lower than the rates in other countries.19 20 In our study, smoking status information was extracted from patient records stored in the Hospital Authority Clinical Management System and nursing notes; thus, we may have underestimated the number of smokers in this cohort. Other important aspects of smoking (eg, number of pack-years and passive smoking) were not available for inclusion in this analysis.
 
Chronic kidney disease has been consistently associated with IPD. A large retrospective observational cohort of 36 million adults revealed a risk ratio of 21.67 for development of IPD among patients with chronic kidney disease.21 A Japanese registry showed that the relative risk for IPD among patients with chronic kidney disease ranged from 12.4 to 51.3.10 Notably, chronic kidney disease was consistently one of the most important predictors for 30-day mortality among all patients (OR=3.62, P<0.001) and among patients in the ICU (OR=4.64, P<0.001).
 
Intensive care subgroup
Patients with IPD tended to experience a higher rate of complications and require higher rates of invasive organ support. In particular, patients with IPD more frequently exhibited pleural effusion/empyema; they also more frequently required invasive mechanical ventilation, extracorporeal membrane oxygenation, renal replacement therapy, and vasopressor use. Our sample size may not have been sufficiently powered to demonstrate statistically significant results regarding the ICU subgroup; thus, future studies focused specifically on patients in the ICU may be needed. Other aspects of IPD and use of rescue therapies for acute respiratory distress syndrome (eg, prone ventilation, muscle paralytic agents, and inhaled nitrogen oxide) should be investigated in the future.
 
Drug non-susceptible Streptococcus pneumoniae and viral co-infection
Penicillin non-susceptible S pneumoniae was not common in the present study; it was only observed in 2.4% of patients. Non-susceptibility to levofloxacin was observed in 0.9% of patients. Drug non-susceptible S pneumoniae were not significantly associated with 30-day mortality (penicillin non-susceptible S pneumoniae was present in two non-survivors and 14 survivors, P=0.641; levofloxacin non-susceptible S pneumoniae was present in zero non-survivors and six survivors, P=1.000). However, these results should be carefully interpreted, because of the small number of drug non-susceptible S pneumoniae in our cohort. According to a recent study in Hong Kong, the penicillin resistance rate was approximately 7% and the levofloxacin resistance rate was 0%.22
 
Viral-bacterial interactions have been described with respect to pneumococcal disease.23 An epidemiological study regarding the 2009 H1N1 influenza pandemic period showed a significant increase in the number of pneumococcal pneumonia hospitalisations.24 However, viral co-infection was not associated with IPD or mortality in our findings. Notably, an age-specific interaction was described between influenza and IPD; specifically, patients aged 5 to 19 years were significantly more frequently affected, compared with other age-groups.24 25
 
Strengths and limitations
Thus far, this is the first and largest study regarding pneumococcal disease in adults in Hong Kong; it provides clinical and outcome data in both general ward and intensive care subgroups to allow a comprehensive overview of pneumococcal disease in the locality. It is a standard practice in our centre to check urinary antigens and perform blood cultures for nearly all patients with suspected pneumonia to facilitate accurate diagnosis and avoid missed diagnoses. By including data regarding invasive organ support and ICU admission, we were able to identify and describe complications of pneumococcal disease and determine the broader clinical characteristics of affected patients.
 
However, because of changes in vaccination programmes, the influenza and pneumococcal vaccination statuses were not available for analysis in the current study. Because of the limited number of patients with drug non-susceptible S pneumoniae in the present cohort, further robust analyses regarding antibiotic sensitivity patterns and appropriateness of antimicrobial treatment could not be performed. Furthermore, capsular serotypes of S pneumoniae among patients in our cohort were not available for analysis. Future studies focused on capsular subtypes of S pneumoniae will facilitate understanding of pneumococcal disease. Because this was a retrospective study, it was subject to potential confounding factors. Finally, the results of this single-centre study may not be generalisable to other countries with higher prevalences of drug non-susceptible S pneumoniae infection.
 
Conclusion
Pneumococcal disease is associated with high rates of morbidity and mortality. In this cohort, vasopressor use, chronic kidney disease, advanced age, and positive UAT results were predictors for 30-day mortality.
 
Author contributions
Concept or design: MY Man, HP Shum.
Acquisition of data: MY Man, HP Shum.
Analysis or interpretation of data: MY Man, HP Shum.
Drafting of the manuscript: MY Man, A Wu.
Critical revision of the manuscript for important intellectual content: All authors.
 
All authors had full access to the data, contributed to the study, approved the final version for publication, and take responsibility for its accuracy and integrity.
 
Conflicts of interest
All authors have disclosed no conflicts of interest.
 
Declaration
The abstract of this study was accepted as an oral presentation at the Annual Scientific Meeting of the Hong Kong Society of Critical Care Medicine on 8 December 2019.
 
Funding/support
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
 
Ethics approval
This study was approval by the Hospital Authority Hong Kong East Cluster Research Ethics Committee (Ref HKECREC- 2019-065). The requirement for written informed consent was waived.
 
References
1. Aliberti S, Cook GS, Babu BL, et al. International prevalence and risk factors evaluation for drug-resistant Streptococcus pneumoniae pneumonia. J Infect 2019;79:300-11. Crossref
2. Black RE, Cousens S, Johnson HL, et al. Global, regional, and national causes of child mortality in 2008: a systematic analysis. Lancet 2010;375:1969-87. Crossref
3. Wahl B, O’Brien KL, Greenbaum A, et al. Burden of Streptococcus pneumoniae and Haemophilus influenzae type b disease in children in the era of conjugate vaccines: global, regional, and national estimates for 2000-15. Lancet Glob Health 2018;6:e744-57. Crossref
4. Drijkoningen JJ, Rohde GG. Pneumococcal infection in adults: burden of disease. Clin Microbiol Infect 2014;20 Suppl 5:45-51. Crossref
5. Song JY, Choi JY, Lee JS, et al. Clinical and economic burden of invasive pneumococcal disease in adults: a multicenter hospital-based study. BMC Infect Dis 2013;13:202. Crossref
6. Centre for Health Protection, Department of Health, Hong Kong SAR Government. Number of notifiable infectious diseases by month. 2019. Available from: https://www.chp. gov.hk/en/statistics/data/10/26/43/6830.html. Accessed 5 May 2020.
7. Cillóniz C, de la Calle C, Dominedò C, et al. Impact of cefotaxime non-susceptibility on the clinical outcomes of bacteremic pneumococcal pneumonia. J Clin Med 2019;8:1150. Crossref
8. Ceccato A, Torres A, Cilloniz C, et al. Invasive disease vs urinary antigen-confirmed pneumococcal community-acquired pneumonia. Chest 2017;151:1311-9. Crossref
9. Clinical and Laboratory Standards Institute. M100 Performance standards for antimicrobial susceptibility testing. 29th ed. CLSI supplement M100. Available from: https://clsi.org/media/2663/m100ed29_sample.pdf. Accessed 22 Feb 2020.
10. Imai K, Petigara T, Kohn MA, et al. Risk of pneumococcal diseases in adults with underlying medical conditions: a retrospective, cohort study using two Japanese healthcare databases. BMJ Open 2018;8:e018553. Crossref
11. Torres A, Blasi F, Dartois N, Akova M. Which individuals are at increased risk of pneumococcal disease and why? Impact of COPD, asthma, smoking, diabetes, and/or chronic heart disease on community-acquired pneumonia and invasive pneumococcal disease. Thorax 2015;70:984-9. Crossref
12. Heo JY, Seo YB, Choi WS, et al. Incidence and case fatality rates of community-acquired pneumonia and pneumococcal diseases among Korean adults: catchment population-based analysis. PLoS One 2018;13:e0194598. Crossref
13. van Mens SP, van Deursen AM, de Greeff SC, et al. Bacteraemic and non-bacteraemic/urinary antigen-positive pneumococcal community-acquired pneumonia compared. Eur J Clin Microbiol Infect Dis 2015;34:115-22. Crossref
14. Kim B, Kim J, Jo YH, et al. Prognostic value of pneumococcal urinary antigen test in community-acquired pneumonia. PLoS One 2018;13:e0200620. Crossref
15. Olofsson E, Özenci V, Athlin S. Evaluation of the sofia S. pneumoniae FIA for detection of pneumococcal antigen in patients with bloodstream infection. J Clin Microbiol 2019;57:e01535-18. Crossref
16. Molinos L, Zalacain R, Menéndez R, et al. Sensitivity, specificity, and positivity predictors of the pneumococcal urinary antigen test in community-acquired pneumonia. Ann Am Thorac Soc 2015;12:1482-9. Crossref
17. Mandell LA, Wunderink RG, Anzueto A, et al. Infectious Diseases Society of America/American Thoracic Society consensus guidelines on the management of community-acquired pneumonia in adults. Clin Infect Dis 2007;44 Suppl 2:S27-72.
18. Blaschke AJ. Interpreting assays for the detection of Streptococcus pneumoniae. Clin Infect Dis 2011;52 Suppl 4: S331-7.Crossref
19. Census and Statistics Department, Hong Kong SAR Government. Thematic Household Survey Report—Report No. 70—Pattern of smoking. Available from: https://www.censtatd.gov.hk/hkstat/sub/sp453. jsp?productCode=C0000047. Accessed 5 May 2020.
20. Wang TW, Asman K, Gentzke AS, et al. Tobacco product use among adults—United States, 2017. MMWR Morb Mortal Wkly Rep 2018;67:1225-32. Crossref
21. Zhang D, Petigara T, Yang X. Clinical and economic burden of pneumococcal disease in US adults aged 19-64 years with chronic or immunocompromising diseases: an observational database study. BMC Infect Dis 2018;18:436. Crossref
22. Chan KC, Ip M, Chong PS, Li AM, Lam HS, Nelson EA. Nasopharyngeal colonisation and antimicrobial resistance of Streptococcus pneumoniae in Hong Kong children younger than 2 years. Hong Kong Med J 2018;24 Suppl 6:4-7.
23. Blasi F, Mantero M, Santus P, Tarsia P. Understanding the burden of pneumococcal disease in adults. Clin Microbiol Infect 2012;18 Suppl 5:7-14. Crossref
24. Weinberger DM, Simonsen L, Jordan R, Steiner C, Miller M, Viboud C. Impact of the 2009 influenza pandemic on pneumococcal pneumonia hospitalizations in the United States. J Infect Dis 2012;205:458-65. Crossref
25. Chiavenna C, Presanis AM, Charlett A, et al. Estimating age-stratified influenza-associated invasive pneumococcal disease in England: a time-series model based on population surveillance data. PLoS Med 2019;16:e1002829. Crossref

Factors associated with depression in people with epilepsy: a retrospective case-control analysis

Hong Kong Med J 2020 Aug;26(4):311–7  |  Epub 2 Jul 2020
© Hong Kong Academy of Medicine. CC BY-NC-ND 4.0
 
ORIGINAL ARTICLE
Factors associated with depression in people with epilepsy: a retrospective case-control analysis
PH Ho, MB, BS1; William CY Leung, MRCP (UK)2; Ian YH Leung, MRCP (UK)2; Richard SK Chang, FHKCP2
1 Department of Medicine, Queen Mary Hospital, Hong Kong
2 Division of Neurology, Department of Medicine, Queen Mary Hospital, Hong Kong
 
Corresponding author: Dr Richard SK Chang (changsk@ha.org.hk)
 
 Full paper in PDF
 
Abstract
Purpose: This study investigated factors associated with depression in people with epilepsy.
 
Methods: All adult patients attending our epilepsy clinic in 2018 were screened for inclusion in this study. Eligible patients were divided into case and control groups, depending on the presence of co-morbid depression. Depressive disorders were diagnosed by a psychiatrist. Demographics and clinical characteristics, including epilepsy features and antiepileptic drug use, were compared between groups. The factors contributing to onset of depression after diagnosis of epilepsy were further analysed by binomial logistic regression. Statistical significance was set at P<0.05.
 
Results: Forty four patients with epilepsy who had depression and 514 patients with epilepsy who did not have depression were included in this study (occurrence rate=7.9%). Female sex (P=0.005), older age (P<0.001), temporal lobe epilepsy (P=0.01), and higher number of antiepileptic drugs used (P=0.003) were associated with depression in patients with epilepsy. No differences were observed in other epilepsy-related factors including aetiology, seizure type, and laterality of epileptic focus. Binomial logistic regression showed that female sex (P=0.01; odds ratio [OR]=3.56), drug-resistant epilepsy (P<0.001; OR=4.79), and clonazepam use (P<0.001; OR=14.41) were significantly positively associated with risk of depression after epilepsy diagnosis, whereas valproate use (P=0.03; OR=0.37) was significantly negatively associated with risk of depression.
 
Conclusion: Female sex, refractoriness, and clonazepam use may be risk factors for depression after epilepsy diagnosis. Valproate may protect against depression in people with epilepsy. Better understanding of clinical features may aid in medical management or research studies regarding co-morbid depression in people with epilepsy.
 
 
New knowledge added by this study
  • This retrospective study investigated factors associated with depression in people with epilepsy, including a subgroup of patients who experienced depression onset after epilepsy diagnosis.
  • Female sex, drug-resistant epilepsy, and clonazepam use were significantly positively associated with depression in people with epilepsy.
  • Valproate use was significantly negatively associated with depression in people with epilepsy.
Implications for clinical practice or policy
  • Clinicians who treat patients with epilepsy should be aware of the potential for co-morbid depression, especially in patients with potential risk factors (eg, female sex, drug-resistant epilepsy, and temporal lobe epilepsy).
  • Psychotropic properties of antiepileptic drugs should be carefully considered when choosing treatment agents for people with epilepsy; clonazepam may promote depression, whereas valproate may protect against depression.
 
 
Introduction
People with epilepsy are susceptible to psychiatric disorders. Depression is arguably the most common psychiatric co-morbidity, which affects approximately 25% to 30% of people with epilepsy.1 2 Depression disorders increase the risk of suicide among people with epilepsy.3 Notably, co-morbid depression can greatly impact clinical outcomes and quality of life for people with epilepsy.4
 
The relationship between epilepsy and depression is more complex than simple psychological stress related to chronic illness. Structural and functional changes in the brain may explain the underlying pathogenic mechanism.5 6 Furthermore, people with epilepsy who exhibit co-morbid depression also demonstrate worse seizure control, compared with people with epilepsy who do not have depression.7 Suboptimal drug adherence and higher rates of adverse effects from antiepileptic drugs (AEDs) have also been reported among people with epilepsy who exhibit co-morbid depression.8 9
 
As discussed in a recent systematic review, many studies have attempted to evaluate the roles of various epilepsy-related factors in the onset of depression; however, most showed no associations with depression or demonstrated inconsistent results.10 The present study was performed to investigate the relationships of clinical factors, including use of AEDs, with depression in people with epilepsy.
 
Methods
Patients and study design
This was a retrospective study. All adult patients, aged ≥18 years, attending the epilepsy clinic of Queen Mary Hospital, Hong Kong, from January to December 2018, were screened for inclusion in the study. Relevant data were retrieved from the computerised medical records system. Diagnoses of epilepsy were made or confirmed by a neurologist. Patients with both epilepsy and depression were included in the case group, while those with epilepsy alone were included in the control group. Depression was defined as the presence of depressive disorders as described in the International Classification of Diseases 10th Revision, diagnosed by a psychiatrist. Patients with intellectual disability were excluded due to potential difficulties in determining diagnoses of mood disorders in this group11; patients with other psychiatric disorders were also excluded to avoid confounding effects.
 
Collection of data
The following data were collected from medical records: basic demographic characteristics, epilepsy and depression details, and use of AEDs. Major neurological and medical conditions that had been present before the epilepsy and depression diagnoses were also recorded. The categorisation of epilepsy was performed in accordance with the International League Against Epilepsy 2017 classification scheme.12 Patients were determined to have drug-resistant epilepsy when adequate trials of two tolerated, appropriately chosen, and appropriately used AED schedules (whether as monotherapies or in combination) failed to achieve sustained seizure freedom.13 Seizure freedom was defined as the absence of seizures for 1 year. Seizure type, location, and laterality of epileptic focus were determined by seizure semiology, any previous neuroimaging findings, and electroencephalography results. Locations of epileptic foci were classified according to cerebral lobes. Any AED used for >6 months was recorded in this analysis; the maximum number of AEDs used was also recorded. This study followed the STROBE guidelines for study reporting.14
 
Statistical analysis
Clinical features were compared between the groups with and without co-morbid depression. The Chi squared test was used to detect statistically significant differences in categorical data, and the t test was used to detect any statistically significant differences in continuous data. Sample size was based on the existing patient number during the study period; thus, no sample size calculations were performed.
 
To investigate the effects of AEDs on development of depression in people with epilepsy, further analysis was performed regarding the subgroup of patients in whom depression was diagnosed after epilepsy onset. In particular, patients were selected for whom depression diagnosis occurred in the calendar year (or later) after the year of epilepsy diagnosis. Relevant factors, particularly use of AEDs, were analysed for their predictive value in terms of depression development, using binomial logistic regression. Variables were entered into the regression model by forward selection, based on likelihood ratios. Statistical analyses were carried out using SPSS Statistics for Windows (version 25.0; IBM Corp, Armonk [NY], United States). Statistical significance was set at P<0.05.
 
Results
Patient characteristics
Forty four patients with epilepsy who had co-morbid depression were selected as the case group, while 558 patients with epilepsy who did not exhibit depression were selected as the control group; the patient characteristics are summarised in Table 1. Among the patients with co-morbid depression, 32 (73%) experienced onset of epilepsy before the diagnosis of depression, while 12 (27%) had a diagnosis of depression before the onset of epilepsy; furthermore, 14 (32%) exhibited drug-resistant epilepsy. Most patients with co-morbid depression had a diagnosis of major depression (36/44, 82%); of the remaining eight patients, one (2%) had dysthymia, two (5%) had mixed anxiety and depressive disorder, and five (11%) had a diagnosis of unspecified depression. The mean age (±standard deviation) at depression diagnosis was 46±13 years, while the mean age at epilepsy diagnosis was 35±19 years. The mean duration between onset of epilepsy and diagnosis of co-morbid depression was 13±13 years. Most patients with epilepsy who had co-morbid depression did not exhibit other major neurological (36/44, 82%) or medical conditions (41/44, 93%). Of the remaining eight patients with major neurological conditions, six (14%) had stroke, one (2%) had traumatic brain injury, and one (2%) had migraine. Of the remaining three patients with major medical conditions, two (5%) had malignancy and one (2%) had rheumatoid arthritis. Notably, one patient had both stroke and malignancy, while another patient had both stroke and rheumatoid arthritis.
 

Table 1. Clinical features of patients with epilepsy, with or without co-morbid depression
 
Comparison between case and control groups
Clinical features were compared between the case and control groups (Table 1). Patients with depression were older and included more women. A significantly longer duration of epilepsy was observed in patients with depression; however, the mean age at epilepsy onset did not significantly differ between the groups. Temporal lobe epilepsy was more common in patients with depression; moreover, patients with depression used a greater mean number of AEDs. No differences were noted in other epilepsy-related factors, including family history, drug-resistant disease, seizure frequency, aetiology, seizure type, or history of status epilepticus. Laterality in focal epilepsy also showed no association with co-morbid depression.
 
Subgroup analysis of patients in whom depression was diagnosed after epilepsy onset
Relevant parameters were selectively included in binomial logistic regression analysis to determine risk factors for co-morbid depression (Table 2). The relevant parameters depended on statistical results in the whole group analysis and clinical judgement. Parameters that reached statistically significance in the whole group analysis were selected. Other parameters considered as clinically important were included as well. Only patients in whom depression was diagnosed after epilepsy onset were included in this analysis. Female sex, drug-resistant epilepsy, and clonazepam use were significantly positively associated with a risk of co-morbid depression among patients with epilepsy. In contrast, valproate use was significantly negatively associated with a risk of co-morbid depression.
 

Table 2. Risk factors for co-morbid depression, identified by binomial logistic regression analysis
 
Discussion
Depression is one of the most common psychiatric co-morbidities among people with epilepsy. Our study involving a cohort of people with epilepsy revealed that 7.9% had depression; of these, 73% had epilepsy onset before depression diagnosis. This prevalence is much lower than the rate of approximately 30% previously described in previous studies of Western and Chinese populations17 16 17; differences in study design may explain this discrepancy. Previous studies were commonly questionnaire or scale-based; generally, they used the Hospital Anxiety and Depression Scale, Neurological Disorders Depression Inventory for Epilepsy, or Patient Health Questionnaire nine-item depression scale.18 19 20 Importantly, these different scales have respective strengths and limitations.21 22 23 In our study, the definition of depression was relatively stringent, because it was confirmed by a psychiatrist. Patients with co-existing psychiatric disorders (eg, psychotic disorders, substance abuse, and personality disorders) were deliberately excluded. Although the psychiatric profile in our cohort was relatively homogeneous because of the stringent criteria, patients with relatively minor or occult depressive symptoms might have been excluded. Importantly, the low prevalence of depression may indicate that this common affective disorder is often overlooked by clinicians in our locality. Underdiagnosis of psychiatric co-morbidities is a major problem encountered by people with epilepsy.24 25 Awareness of psychiatric co-morbidities, identified with the aid of assessment scales, may improve the sensitivity of diagnosis.
 
This study placed considerable emphasis on the temporal relationship between epilepsy and depression. A number of similar studies used a cross-sectional design, which present a methodological problem regarding the unclear temporal relationship between epilepsy and co-morbid depression.6 Extraction of data from clinical records allows assessment of an individual patient’s clinical features at different timepoints. In the present study, only patients with depression onset after epilepsy diagnosis were included in logistic regression analysis, which enables clearer assessment of the relationship between epilepsy and co-morbid depression.
 
In our study, patients with epilepsy who exhibited depression were predominantly women. This finding is consistent with the results of a previous systemic review.10 Female sex predominance has also been observed in studies of depression alone.26 27 In the present study, patients with depression were older and had a longer duration of epilepsy diagnosis, presumably because of accumulation bias. The mean interval for development of depression was 13 years after epilepsy onset; however, age at epilepsy onset was not associated with development of depression. It remains controversial whether younger epilepsy onset age is related to a higher risk of subsequent depression. Some studies have shown positive associations, whereas others have not.28 29
 
Previous evidence suggested that focal epilepsy, rather than generalised epilepsy, was associated with co-morbid depression in people with epilepsy.15 30 31 This finding was not observed in our study; however, temporal lobe epilepsy was significantly more prevalent in patients with depression. The underlying pathogenic mechanism may involve the close relationship of the temporal lobe with the limbic system, which plays a key role in emotional control. Frequent epileptic focus discharge can lead to reduced blood flow and metabolism in corresponding cerebral regions.5 32 Furthermore, temporal lobe epilepsy is associated with hippocampal damage and atrophy, typically comprising hippocampal sclerosis.33 Temporal lobe hypometabolism and hippocampal volume loss have also been implicated in depression.34 35 Finally, an association of depression with epileptic foci in frontal and left temporal lobes has also been reported,31 but this phenomenon was not observed in our cohort.
 
In our study, drug-resistant epilepsy was associated with depression in binomial logistic regression analysis, but not when analysis was performed using the Chi squared test. In this study, patients included in analysis by the Chi squared test had depression either before or after the diagnosis of epilepsy. In contrast, the binomial logistic regression model only included patients in whom depression was diagnosed after epilepsy onset. Additionally, the exact seizure frequency did not affect the risk of depression in this study; conversely, seizure frequency was associated with co-morbid depression in a previous systemic review.10 This discrepancy may be explained by differences in sample composition. However, it remains unclear whether better epilepsy control (ie, seizure frequency reduction) will alleviate the risk of depression.
 
Use of AEDs also contributes to the onset of mood disorder in people with epilepsy. This study showed that clonazepam use was positively associated with risk of depression in people with epilepsy; conversely, valproate use was negatively associated with risk of depression. The impact of AEDs on psychiatric illness has been extensively studied. Benzodiazepines, including clonazepam, have been proposed to induce depression by overinhibition of the GABAergic pathway.31 36 Valproate, carbamazepine, and lamotrigine are examples of AEDs with positive psychotropic effects, whereas benzodiazepine, levetiracetam, phenobarbital, and topiramate exhibit negative psychotropic effects.37 38 39 40
 
The findings of this study have a few important implications for clinical practice. First, the recognition of depression in people with epilepsy can be challenging for clinicians, especially in a busy out-patient clinic setting.24 The identification of at-risk patients is essential for improving the diagnostic yield of affective disorders among people with epilepsy. Female sex, drug-resistant epilepsy, and temporal lobe epilepsy may be associated with co-morbid depression. Clinicians should be vigilant in searching for depressive features in patients with these characteristics during clinical consultation.
 
Second, the use of AEDs plays a role in co-morbid depression in people with epilepsy. Psychotropic properties of AEDs should be carefully considered when choosing treatment agents for people with epilepsy, especially for patients who are at risk of depression (eg, women, patients with drug-resistant epilepsy, and patients with temporal lobe epilepsy). Clonazepam (ie, a benzodiazepine) has been associated with depression onset in people with epilepsy; in contrast, valproate may have a protective effect against depression onset in people with epilepsy. This could be due to the mood-stabilising effect of valproate, which has led to its use for treatment of patients with manic disorder. Antiepileptic drugs can have a considerable impact on quality of life in people with epilepsy, in addition to their seizure control effects. The impact of newer-generation AEDs requires further analysis, because these drugs were inadequately represented among the limited number of patients in the current study.
 
There were some limitations in this study. First, there were inherent limitations due to the retrospective nature of the analysis. In particular, the information documented in medical records may not be uniform and may be subject to recall bias. Second, the diagnosis of depression in our study tended to be stringent, because it relied on a psychiatrist’s diagnosis, instead of more widely used assessment tools (eg, depressive scales). However, this approach may have led to underestimation regarding the extent of depressive disorders among patients in this cohort. Third, the AEDs were required to be used for >6 months to be included in the analysis. However, the durations, dosages, or serum drug levels of AEDs were not considered, because they may have varied during the course of epilepsy. Fourth, relatively few socio-economic and psychological factors were included in this analysis. Some previous studies showed that these factors were associated with co-morbid depression; however, they have been less frequently investigated than other epilepsy-related factors (eg, employment, marital status, and stressful life events).1 Further prospective studies that include examinations of these psychosocial factors may provide more complete information regarding depression in people with epilepsy.
 
Conclusions
Depression is a common mood disorder in people with epilepsy. This study showed that depression tends to affect a subgroup of people with epilepsy who exhibit specific demographic and epilepsy-related factors. Notably, the use of AEDs may also influence the risk of depression in people with epilepsy. This study may contribute to better understanding of clinical features, thereby aiding in future clinical management or basic science studies regarding co-morbid depression in people with epilepsy.
 
Author contributions
Concept or design: PH Ho.
Acquisition of data: PH Ho, RSK Chang.
Analysis or interpretation of data: PH Ho, RSK Chang.
Drafting of the manuscript: PH Ho, RSK Chang.
Critical revision of the manuscript for important intellectual content: All authors.
 
All authors had full access to the data, contributed to the study, approved the final version for publication, and take responsibility for its accuracy and integrity.
 
Conflicts of interest
The authors have no conflicts of interest to disclose.
 
Declaration
This research was presented as a poster presentation titled “Clinical features and predictors of depression in people with epilepsy (PWE)” at the 33rd International Epilepsy Congress, Bangkok, 22-26 June 2019.
 
Funding/support
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
 
Ethics approval
This study was approved by the Hospital Authority Hong Kong West Cluster Institutional Review Board (Ref UW 19-742). The need for informed consent was waived.
 
References
1. Hermann BP, Seidenberg M, Bell B. Psychiatric comorbidity in chronic epilepsy: identification, consequences, and treatment of major depression. Epilepsia 2000;41 Suppl 2:S31-41. Crossref
2. Asadi-Pooya AA, Kanemoto K, Kwon OY, et al. Depression in people with epilepsy: how much do Asian colleagues acknowledge it? Seizure 2018;57:45-9. Crossref
3. Kanner AM. Depression and epilepsy: a new perspective on two closely related disorders. Epilepsy Curr 2006;6:141- 6. Crossref
4. Lehrner J, Kalchmayr R, Serles W, et al. Health-related quality of life (HRQOL), activity of daily living (ADL) and depressive mood disorder in temporal lobe epilepsy patients. Seizure 1999;8:88-92. Crossref
5. Bromfield EB, Altshuler L, Leiderman DB, et al. Cerebral metabolism and depression in patients with complex partial seizures. Arch Neurol 1992;49:617-23. Crossref
6. Kanner AM, Schachter SC, Barry JJ, et al. Depression and epilepsy: epidemiologic and neurobiologic perspectives that may explain their high comorbid occurrence. Epilepsy Behav 2012;24:156-68. Crossref
7. Hitiris N, Mohanraj R, Norrie J, Sills GJ, Brodie MJ. Predictors of pharmacoresistant epilepsy. Epilepsy Res 2007;75:192-6. Crossref
8. Ettinger AB, Good MB, Manjunath R, Edward Faught R, Bancroft T. The relationship of depression to antiepileptic drug adherence and quality of life in epilepsy. Epilepsy Behav 2014;36:138-43. Crossref
9. Cramer JA, Blum D, Reed M, Fanning K, Epilepsy Impact Project Group. The influence of comorbid depression on quality of life for people with epilepsy. Epilepsy Behav 2003;4:515-21. Crossref
10. Lacey CJ, Salzberg MR, D'Souza WJ. Risk factors for depression in community-treated epilepsy: systematic review. Epilepsy Behav 2015;43:1-7. Crossref
11. Walton C, Kerr M. Severe intellectual disability: systematic review of the prevalence and nature of presentation of unipolar depression. J Appl Res Intellect Disabil 2016;29:395-408. Crossref
12. Scheffer IE, Berkovic S, Capovilla G, et al. ILAE classification of the epilepsies: position paper of the ILAE Commission for Classification and Terminology. Epilepsia 2017;58:512-21. Crossref
13. Kwan P, Arzimanoglou A, Berg AT, et al. Definition of drug resistant epilepsy: consensus proposal by the ad hoc Task Force of the ILAE Commission on Therapeutic Strategies. Epilepsia 2010;51:1069-77. Crossref
14. Equator Network. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: guidelines for reporting observational studies. Available from: http://www.equator-network.org. Accessed 15 Nov 2019.
15. Chen K, Pan Y, Xu C, Wu W, Li X, Sun D. What are the predictors of major depression in adult patients with epilepsy? Epileptic Disord 2014;16:74-9. Crossref
16. Tellez-Zenteno JF, Patten SB, Jetté N, Williams J, Wiebe S. Psychiatric comorbidity in epilepsy: a population-based analysis. Epilepsia 2007;48:2336-44. Crossref
17. Kwong KL, Lam D, Tsui S, et al. Anxiety and depression in adolescents with epilepsy. J Child Neurol 2016;31:203-10. Crossref
18. Alsaadi T, El Hammasi K, Shahrour TM, et al. Depression and anxiety among patients with epilepsy and multiple sclerosis: UAE comparative study. Behav Neurol 2015;2015:196373. Crossref
19. Azuma H, Akechi T. Effects of psychosocial functioning, depression, seizure frequency, and employment on quality of life in patients with epilepsy. Epilepsy Behav 2014;41:18-20. Crossref
20. Mohamed S, Gill JS, Tan CT. Quality of life of patients with epilepsy in Malaysia. Asia Pac Psychiatry 2014;6:105-9. Crossref
21. Mitchell AJ, Meader N, Symonds P. Diagnostic validity of the Hospital Anxiety and Depression Scale (HADS) in cancer and palliative settings: a meta-analysis. J Affect Disord 2010;126:335-48. Crossref
22. Kim DH, Kim YS, Yang TW, Kwon OY. Optimal cutoff score of the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) for detecting major depressive disorder: a meta-analysis. Epilepsy Behav 2019;92:61-70. Crossref
23. Hartung TJ, Friedrich M, Johansen C, et al. The Hospital Anxiety and Depression Scale (HADS) and the 9-item Patient Health Questionnaire (PHQ-9) as screening instruments for depression in patients with cancer. Cancer 2017;123:4236-43. Crossref
24. O’Donoghue MF, Goodridge DM, Redhead K, Sander JW, Duncan JS. Assessing the psychosocial consequences of epilepsy: a community-based study. Br J Gen Pract 1999;49:211-4.
25. Boylan LS, Flint LA, Labovitz DL, Jackson SC, Starner K, Devinsky O. Depression but not seizure frequency predicts quality of life in treatment-resistant epilepsy. Neurology 2004;62:258-61. Crossref
26. Çakıcı M, Gökçe Ö, Babayiğit A, Çakıcı E, Eş A. Depression: point-prevalence and risk factors in a North Cyprus household adult cross-sectional study. BMC Psychiatry 2017;17:387. Crossref
27. Lam LC, Wong CS, Wang MJ, et al. Prevalence, psychosocial correlates and service utilization of depressive and anxiety disorders in Hong Kong: the Hong Kong Mental Morbidity Survey (HKMMS). Soc Psychiatry Psychiatr Epidemiol 2015;50:1379-88. Crossref
28. Kanner AM, Barry JJ. The impact of mood disorders in neurological diseases: should neurologists be concerned? Epilepsy Behav 2003;4 Suppl 3:S3-13. Crossref
29. Lacey CJ, Salzberg MR, D'Souza WJ. What factors contribute to the risk of depression in epilepsy? Tasmanian Epilepsy Register Mood Study (TERMS). Epilepsia 2016;57:516-22. Crossref
30. Kimiskidis VK, Triantafyllou NI, Kararizou E, et al. Depression and anxiety in epilepsy: the association with demographic and seizure-related variables. Ann Gen Psychiatry 2007;6:28. Crossref
31. Grabowska-Grzyb A, Jedrzejczak J, Nagańska E, Fiszer U. Risk factors for depression in patients with epilepsy. Epilepsy Behav 2006;8:411-7.Crossref
32. Victoroff JI, Benson F, Grafton ST, Engel J Jr, Mazziotta JC. Depression in complex partial seizures. Electroencephalography and cerebral metabolic correlates. Arch Neurol 1994;51:155-63. Crossref
33. Kälviäinen R, Salmenperä T, Partanen K, Vainio P, Riekkinen P, Pitkänen A. Recurrent seizures may cause hippocampal damage in temporal lobe epilepsy. Neurology 1998;50:1377-82. Crossref
34. Hosokawa T, Momose T, Kasai K. Brain glucose metabolism difference between bipolar and unipolar mood disorders in depressed and euthymic states. Prog Neuropsychopharmacol Biol Psychiatry 2009;33:243-50. Crossref
35. Bremner JD, Narayan M, Anderson ER, Staib LH, Miller HL, Charney DS. Hippocampal volume reduction in major depression. Am J Psychiatry 2000;157:115-8. Crossref
36. Luscher B, Shen Q, Sahir N. The GABAergic deficit hypothesis of major depressive disorder. Mol Psychiatry 2011;16:383-406. Crossref
37. Tao K, Wang X. The comorbidity of epilepsy and depression: diagnosis and treatment. Expert Rev Neurother 2016;16:1321-33. Crossref
38. Mula M, Agrawal N, Mustafa Z, et al. Self-reported aggressiveness during treatment with levetiracetam correlates with depression. Epilepsy Behav 2015;45:64-7. Crossref
39. Klufas A, Thompson D. Topiramate-induced depression. Am J Psychiatry 2001;158:1736.Crossref
40. Brent DA, Crumrine PK, Varma RR, Allan M, Allman C. Phenobarbital treatment and major depressive disorder in children with epilepsy. Pediatrics 1987;80:909-17.

Warfarin control in Hong Kong clinical practice: a single-centre observational study

Hong Kong Med J 2020 Aug;26(4):294–303  |  Epub 30 Jul 2020
© Hong Kong Academy of Medicine. CC BY-NC-ND 4.0
 
ORIGINAL ARTICLE  CME
Warfarin control in Hong Kong clinical practice: a single-centre observational study
Amy SM Lam, BPharm, MSc1; Isis MH Lee, BPharm1; Simon KS Mak, BPharm1; Bryan PY Yan, MB, BS, FRACP2; Vivian WY Lee, PharmD, BCPS (AQ Cardiology)3
1 School of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong
2 Department of Medicine & Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong
3 Centre for Learning Enhancement and Research, The Chinese University of Hong Kong, Hong Kong
 
Corresponding author: Prof Vivian WY Lee (vivianlee@cuhk.edu.hk)
 
 Full paper in PDF
 
Abstract
Introduction: Time in therapeutic range (TTR) assesses the safety and effectiveness of warfarin therapy using the international normalised ratio. This study investigated the TTR in Hong Kong patients using both European and Japanese therapeutic ranges and patients’ economic and clinical outcomes. Predictors of poor warfarin control and patient knowledge concerning warfarin therapy were assessed.
 
Methods: A 5-month observational study with retrospective and prospective components was conducted in the Prince of Wales Hospital. The study examined electronic patient records of patients who received warfarin for at least 1 year during the period from January 2010 to August 2015. Patient knowledge was assessed via phone interview using the Oral Anticoagulation Knowledge (OAK) test.
 
Results: In total, 259 patients were included; 174 completed the OAK test. The calculated mean TTR was 40.2±17.1% (European therapeutic range), compared with 49.1±16.1% (Japanese therapeutic range) [P<0.001]. Mean TTR was higher in patients with atrial fibrillation than in patients with prosthetic heart valve (P<0.001). The abilities of TTR to predict clinical and economic outcomes were comparable between European and Japanese therapeutic ranges. Patients with ideal TTR had fewer clinical complications and lower healthcare costs. Patients with younger age exhibited worse TTR, as did those with concurrent use of furosemide, famotidine, or simvastatin. Mean OAK test score was 54.1%. Only 24 (13.8%) patients achieved a satisfactory overall score of ≥75% in the test.
 
Conclusion: Warfarin use in Hong Kong patients was poorly controlled, regardless of indication. Patient knowledge concerning warfarin use was suboptimal; thus, additional patient education is warranted regarding warfarin.
 
 
New knowledge added by this study
  • Warfarin control, in terms of time in therapeutic range (TTR), was suboptimal (40.2% with European therapeutic range and 49.1% with Japanese therapeutic range), regardless of indication.
  • Abilities of TTR to predict clinical and economic outcomes were comparable between European and Japanese therapeutic ranges.
  • Patients with younger age exhibited worse TTR, as did those with concurrent use of furosemide, famotidine, or simvastatin.
  • Only 13.8% of interviewed patients achieved a satisfactory overall score on the Oral Anticoagulation Knowledge test.
Implications for clinical practice or policy
  • Warfarin is the most commonly prescribed anticoagulant in Hong Kong. However, warfarin control was suboptimal; this poor control was associated with worse clinical and economic outcomes. Poor anticoagulation control could increase healthcare expenses.
  • Abilities to predict outcomes were similar between European and Japanese therapeutic ranges. Associations of suboptimal warfarin control with unfavourable outcomes were robust for both therapeutic ranges.
  • Despite the establishment of a warfarin clinic and availability of educational materials and discussions regarding warfarin use, patient knowledge concerning warfarin therapy remains unsatisfactory, compared with prior studies in Hong Kong. Additional patient education concerning warfarin use is warranted. New approaches may be useful to deliver medication knowledge.
 
 
Introduction
Warfarin, an oral vitamin K antagonist, has been widely used as anticoagulant therapy for the treatment and prophylaxis of thromboembolic disease. Patients with atrial fibrillation (AF) exhibit elevated risks of mortality and morbidity, including fivefold greater risk of stroke and threefold greater risk of heart failure, compared with individuals without AF.1 2 In patients with prosthetic heart valve (PHV), the incidence of PHV thrombosis was 0.5% to 6% per patient-year, depending on the prosthesis site.3 Warfarin has been shown to significantly reduce the risk of stroke in patients with non-valvular AF and the risk of embolism in patients with PHV.4 5
 
To ensure the efficacy and safety of warfarin therapy, strict control of the international normalised ratio (INR) is required. One measurement of INR does not indicate whether warfarin dose is appropriate for a given patient. Instead, time in therapeutic range (TTR) is commonly used in clinical practice. According to the European Society of Cardiology Guidelines for the management of AF, the ideal TTR is regarded as 70%.6 However, warfarin control in clinical practice is reportedly unsatisfactory worldwide.7 8 Poor TTR has been associated with elevated risks of major haemorrhage, ischaemic stroke, and all-cause mortality.9
 
Hong Kong is currently following the European Society of Cardiology Guidelines for the Management of Atrial Fibrillation with respect to warfarin; these guidelines recommend INR control between 2.0 and 3.0 in patients with normal heart valve and between 2.5 and 3.5 in patients with PHV.6 In contrast, the Japanese Guidelines for Pharmacotherapy of Atrial Fibrillation (JCS 2013) recommend INR control between 2.0 and 3.0 in patients aged <70 years or patients with PHV, and between 1.6 and 2.6 in patients aged ≥70 years.10 This recommendation is based on the findings of a study in which the incidence rate of major haemorrhagic complications was determined to be lower at INR between 1.6 and 2.6.11 It remains unknown whether additional benefits would be obtained by application of Japanese guidelines in Hong Kong.
 
There are extensive drug-drug interactions, drug-herb interactions, and drug-food interactions of warfarin, which may affect anticoagulation control.12 13 To assure the efficacy and safety of warfarin, patient education concerning warfarin is needed.14 15 However, a study in 2008 showed that only one in six patients with AF underwent regular INR examinations in China; patients with AF also commonly exhibited minimal knowledge concerning the importance of regular INR examinations.16
 
The study aimed to investigate the adequacy of warfarin control in clinical practice in Hong Kong by means of the TTR; it compared warfarin outcome prediction using European and Japanese INR therapeutic ranges as concurrent primary endpoints. Predictors for poor warfarin control were analysed as secondary endpoints. The impacts of TTR on both clinical and economic outcomes were investigated, using the European therapeutic range. Patient knowledge concerning warfarin therapy was also assessed, as were predictors of this knowledge.
 
Methods
Patient recruitment
The single-centre cohort study was conducted in the Prince of Wales Hospital, which is a regional acute public hospital in Hong Kong. Patients who received warfarin therapy in both the acute coronary syndrome registry and warfarin clinic for at least 1 year and who had their last visit from 1 January 2010 to 31 August 2015 were included. One year of warfarin therapy was presumed to be necessary for patients to develop stable INR.8 Patients aged <41 years and >90 years were excluded, due to the infrequency of warfarin therapy in both age-groups based on hospital records. Data for patient recruitment and subsequent patient review were retrieved through the Clinical Management System, which is a computerised patient medical record system.
 
Time in therapeutic range summary
Time in therapeutic range was defined as the fraction of INRs in range, with the percentage derived by dividing number of INRs within the therapeutic range by the total number of INRs recorded.17 Ideal TTR was defined as 70%.6 Warfarin indications for individual patients were categorised in four groups: AF, PHV, both AF and PHV, and neither AF nor PHV (eg, deep vein thrombosis and pulmonary embolism). Associations of outcomes and adaptions of either guidelines were subsequently determined.
 
Predictors of suboptimal time in therapeutic range
Predictors of poor warfarin control, using the European therapeutic range, were regarded as secondary endpoints in our study. Patients were stratified into four quartiles according to TTR. Patients with TTR in Quartile 1 were considered to have poor warfarin control. Patients were compared across the four quartiles to identify predictors. Factors included were age, sex, co-morbidities, medication profile, and patient knowledge concerning warfarin therapy. Co-morbidities comprised hypertension, heart failure, thyroid disorder, liver dysfunction, and diabetes mellitus. Ten commonly prescribed medications were chosen for medication profile comparison, based on a pilot study of the first 20 recruited patients. The pilot study was conducted using the same recruitment criteria and the 20 patients were selected at random. All prescribed medications were recorded for these 20 patients. The 10 most commonly prescribed medications included aspirin, hydrochlorothiazide, metoprolol, diltiazem, diclofenac, famotidine, senna, simvastatin, lisinopril, and pantoprazole. For other cardiovascular medications, the potential impact was suspected with their high-frequency use in the cohort and further investigation was performed. The potential impact was detected using ongoing data collection based on low TTR and high thrombotic and bleeding events of patients with certain medications that were not included in the list of 10 medications previously. The investigators evaluated each additional medication carefully and its impact on the clinical outcomes.
 
Impact of time in therapeutic range on clinical outcome
Impacts of TTR on clinical outcomes were investigated; patient TTR values were stratified into four quartiles. Thrombotic events, bleeding complications, and overall incidences of complications were assessed. Stroke, pulmonary embolism, acute coronary syndrome, and arterial embolism were included as thrombotic events in our study. Severity of bleeding complications was classified based on discussion at the Control of Anticoagulation Subcommittee of the International Society of Thrombosis and Haemostasis.18 Major bleeding included: (1) fatal bleeding; and/or (2) symptomatic bleeding in a critical area or organ (eg, intracranial, intraspinal, intraocular, retroperitoneal, intraarticular or pericardial, or intramuscular with compartment syndrome); and/or (3) bleeding causing a decline in haemoglobin level of ≥2 g/dL (1.24 mmol/L), or leading to transfusion of ≥2 units of whole blood or red cells. Otherwise, all non-major bleeds were regarded as minor bleeds.
 
Impact of time in therapeutic range on economic outcome
Impacts of TTR, using the European therapeutic range, on economic outcomes were investigated. Costs were calculated per day of warfarin therapy, such that patients’ direct healthcare costs could be calculated regardless of the length of warfarin therapy. Direct healthcare costs related to warfarin (from the healthcare provider perspective) were calculated using the Hong Kong government gazette.19 Costs for INR examinations, procedures (eg, surgery and diagnostic tests, excluding INR examinations), hospitalisation, clinic visits, and overall costs were compared separately.
 
Knowledge assessment
Patient knowledge concerning warfarin therapy was assessed using the Oral Anticoagulation Knowledge (OAK) test.20 Question 14 of the original test was omitted from our study, because the frequencies of INR tests and follow-up visits were determined by local physicians in Hong Kong. A “Do not know” option was included to minimise random guessing. The assessment was translated into Chinese and performed via phone interviews from 2 January 2016 to 1 April 2016. Patient knowledge was considered satisfactory if a score of ≥75% was achieved.21 Predictors for OAK score performance were identified.
 
Statistical analysis
For descriptive statistics, frequencies and percentages were used for categorical variables; means ± standard deviations were used for continuous variables. The Wilcoxon signed rank test, Chi squared test, Fisher’s exact test, and one-way analysis of variance (pairwise comparison with the Tukey method) were used for comparisons of TTR with European and Japanese therapeutic ranges. Fisher’s exact test and Mann-Whitney U test were used to determine the impacts of TTR on clinical and economic outcomes, respectively. An ordinal regression model with stepwise selection was used to identify independent predictors for poor warfarin control. Multiple linear regression with stepwise selection for variables was used to determine predictors for OAK score. Two-sided P values <0.05 were considered statistically significant. All statistical analysis was performed by SPSS (Windows version 22.0; IBM Corp, Armonk [NY], US) and R (version 3.5.3; https://www.r-project.org/).
 
Results
Baseline characteristics
In total, 259 patients were included in the study; among them, 126 (48.6%) were men. The mean patient age was 67.9±10.4 years. The detailed demographic characteristics of the patients are shown in Table 1.
 

Table 1. Demographics and indications for warfarin using European and Japanese therapeutic ranges
 
Time in therapeutic range summary
The overall mean INR was 2.3±0.3. The median follow-up time for included patients was 2065 days (interquartile range=1556-2065). The median number of INR examinations was 46 (interquartile range=33-73). Using the European therapeutic range, 34.5% of all measured INR values were within the therapeutic range. The overall TTR was 40.2±17.1%; 7.7% of patients had ideal TTR during the study period. Using the Japanese therapeutic range, 44.1% of all measured INR values were within the therapeutic range. The overall TTR was 49.1±16.1%; this was significantly higher than the TTR when using the European therapeutic range (P<0.001). Notably, 12.4% of all patients had ideal TTR during the study period.
 
Mean TTR values for different indications were compared, as shown in Table 2. When using the European therapeutic range, the mean TTR with an indication for AF was significantly higher than both the mean TTR with an indication for PHV (P<0.001) and the mean TTR with an indication for AF and PHV (P<0.001). When using the Japanese therapeutic range, the mean TTR with an indication for AF was also significantly higher than the mean TTR with an indication for both AF and PHV (P<0.001). The mean TTR values were significantly higher when using the Japanese therapeutic range than when using the European therapeutic range within each indication category.
 

Table 2. TTR with different indications for warfarin using European and Japanese therapeutic ranges
 
Predictors of suboptimal time in therapeutic range
Patients were divided into four quartiles according to their TTR, using the European therapeutic range (Table 3). Predictors were determined by performing regression across the four quartiles. Adjusted odds ratios (ORs) for poor TTR were calculated. The results showed that younger age was associated with worse TTR, as were concurrent use of furosemide, famotidine, or simvastatin.
 

Table 3. Predictors of poor TTR using European therapeutic range
 
Impact of time in therapeutic range on clinical outcome
Clinical outcomes were compared between the two therapeutic ranges (Table 4). Of the 259 patients, 35.9% experienced complications. Of the 39 patients with thrombotic events, 41.0% had recurrent non-ST-elevation myocardial infarction and 33.3% had stroke. Among patients with bleeding complications, 68.8% experienced minor bleeding. Patients with ideal TTR had significantly fewer overall complications and bleeding complications, compared with patients with non-ideal TTR, in both European and Japanese therapeutic ranges. All patients who had complications were those with non-ideal TTR, using the European therapeutic range. When patients were further stratified into quartiles based on TTR using the European therapeutic range, TTR exhibited statistically significant associations with each tested clinical outcome (Table 5).
 

Table 4. Clinical and economic outcomes using European and Japanese therapeutic ranges
 

Table 5. Clinical outcomes of four quartiles using European therapeutic range
 
Impact of time in therapeutic range on economic outcome
Healthcare costs are expressed in terms of US$ per year (US$1=HK$7.8), as shown in Table 4. When including all services related to warfarin, average patient costs were US$809.9/year. In terms of economic outcomes, the INR examination, clinical visit, and total healthcare costs were significantly lower for patients with ideal TTR when using either European or Japanese therapeutic ranges. Using the Japanese therapeutic range, patients with ideal TTR also had lower hospitalisation costs. When using the European therapeutic range, healthcare provider costs increased by US$530.1/year for each patient with non-ideal TTR.
 
Knowledge assessment
In total, 174 patients completed the OAK test, with a mean score of 54.1% correct for the 19 questions used in our version of the test. The mean duration of warfarin therapy for this subgroup of patients during the study period was 4.8±1.4 years. Only 24 (13.8%) patients achieved the satisfactory overall test score of ≥75%. Of the 19 questions in the test, only four were answered correctly by ≥70% of respondents (Table 6).
 

Table 6. Results of oral anticoagulation knowledge test
 
Multiple linear regression revealed that respondents with older age (adjusted β=-0.17; 95% confidence interval [CI]=-0.23 to -0.11; P=0.001) or co-morbid diabetes (adjusted β=-1.21; 95% CI=-2.29 to -0.12; P=0.03) were more likely to have low scores on the OAK test. In contrast, respondents with co-morbid hypertension (adjusted β=1.68; 95% CI=0.56-2.80; P=0.004) or co-morbid thyroid dysfunction (adjusted β=2.38; 95% CI=0.80-3.97; P=0.003) were more likely to have high scores on the OAK test. Respondents with better TTR tended to be more likely to have high scores on the OAK test, although this difference was not statistically significant (adjusted β=2.73; 95% CI=-0.21-5.68; P=0.069).
 
Discussion
Status of warfarin control in Hong Kong
The mean TTR observed in our study was lower than that observed in studies performed in Western nations. A meta-analysis of 40 studies using the European therapeutic range identified a mean TTR of 75.2% after 4 to 12 months of warfarin management.22 A study focusing on warfarin use in Japanese patients using the Japanese therapeutic range showed an overall TTR of 69.7% in patients with non-valvular AF.23 Studies in Hong Kong showed that the mean TTR for target INR of 2.0 to 3.0 in patients with AF improved from 24.2% to 39.7% in the past decade.24 25 Our study showed better warfarin control in patients with AF (mean TTR=48.0%), compared with past local data; however, the rate of control remains unsatisfactory. A prior retrospective study demonstrated a mean TTR of 72.5% in Swedish patients with mechanical heart valve prosthesis; another study showed that the mean TTR was 47.48% in Malaysian patients with mechanical heart valve(s) replacement.26 27 The mean TTR in patients with PHV in this study was 30.5%, which was lower than the previously reported rate. Our study also demonstrated that warfarin control was worse in patients with PHV than in patients with AF.
 
The lower TTR in Hong Kong, compared with that in Western nations, could be attributed to ethnicity. Geographical differences in the genetic polymorphism profile between Hong Kong and Western nations could lead to differences in warfarin metabolism and warfarin dosing.28 Moreover, previous evidence suggests that individuals of East Asian ethnicity are more likely to experience intracranial haemorrhage, compared with individuals of Caucasian ethnicity (in that study, “white race/ethnicity”) who exhibit comparable levels of warfarin control.29 Notably, the possibility that physicians targeted a lower INR range in Hong Kong could not be ruled out in this study.
 
European versus Japanese therapeutic range
The overall predictive abilities of European and Japanese therapeutic ranges were similar. The calculated ORs for each economic outcome across European and Japanese therapeutic ranges were similar, with the exception of procedural and hospitalisation costs. For clinical outcomes, ORs could not be calculated to compare ideal TTR with non-ideal TTR, given that there were no complications in the ideal TTR group. However, there were complications in the group with ideal TTR based on the Japanese therapeutic range. The ORs calculated showed that the Japanese therapeutic range could be used to predict clinical outcomes. Notably, a lower INR target can be established in Hong Kong. However, a larger, well-designed randomised controlled trial is needed to establish non-inferiority in terms of clinical outcomes, as well as superiority in terms of economic outcomes, when using the Japanese therapeutic range.
 
Impacts of time in therapeutic range on outcomes
The level of warfarin control has been associated with clinical outcomes. A systematic review of 47 studies revealed that TTR was negatively correlated with major bleeding and thromboembolic events.30 Our results were consistent in demonstrating an association of TTR with clinical outcome, which indicated that patients with worse TTR were more likely to experience overall complications, thrombotic events, and bleeding complications. Moreover, TTR has been associated with economic outcomes. A previous study in the US showed that patients with AF whose TTR was <60% had higher total healthcare and stroke-related costs.31 Our study demonstrated similar results, using a TTR cut-off of 70%. With better warfarin control, corresponding healthcare expenses can be reduced; many such expenses are borne by the government.
 
Predictors for suboptimal time in therapeutic range
Predictors for suboptimal TTR have been investigated in previous studies. Notably, heart failure has been highly associated with poor warfarin control8 23; however, this association was not supported by our findings. In contrast, our study showed that younger patients were more likely to have poor TTR. This association might be related to improved medication adherence in older patients, because of better health consciousness among those individuals.32 33 Concurrent use of furosemide, famotidine, or simvastatin (in combination with warfarin) was associated with poor TTR. Despite common concurrent use of simvastatin and warfarin, the anticoagulant effect of warfarin is reportedly 8% to 15% stronger in simvastatin-treated patients, due to the CYP 2C9*3 polymorphism.34 Regarding concurrent use of warfarin and pantoprazole, altered warfarin absorption and metabolism have been observed during in vitro studies of proton pump inhibitor treatment35; however, there is a lack of supporting clinical evidence.36 Our study showed a tendency for enhanced likelihood of poor TTR control in patients with concurrent use of pantoprazole, although this association was not statistically significant. Thus, the influence of proton pump inhibitor use on warfarin control remains unclear. Patients with concurrent use of aspirin and warfarin exhibited a tendency for enhanced risk of poor TTR; this association was also not statistically significant. We noted a considerable reduction in the number of patients in the fourth TTR quartile (14.1%), compared with the other three groups (range, 33.8-49.2%). Concurrent use of aspirin and warfarin is known to enhance the risk of major bleeding, which could cause physicians to approach anticoagulation control more conservatively.37 Furthermore, the use of aspirin and poor TTR have both been independently associated with higher bleeding risk, while poor TTR has been regarded as an independent contributor to all-cause mortality.38 Therefore, regardless of the concurrent use of aspirin, optimal TTR should be achieved with regard to the appropriate INR therapeutic range to reduce complications in patients receiving warfarin therapy.
 
Patient knowledge concerning warfarin therapy
According to validation studies performed by Zeolla et al,20 the mean OAK score among long-term warfarin users was 72%. A study in Malaysia revealed that only 11.2% of patients achieved a satisfactory score, with a mean OAK score of 48% for the cohort.39 Similar results were achieved in our study; the mean score was 54.1% and 13.8% of patients achieved a score of ≥75%. Poor OAK score could be attributed to restricted medical consultation time, leading to a lack of knowledge concerning respective diseases and medications.40 Patients with older age were more likely to have low OAK scores, which was consistent with the findings of a previous study that demonstrated a negative correlation between age and warfarin knowledge.41 Nonetheless, the observed relationships of co-morbidities with warfarin knowledge require further analyses to establish underlying explanations.
 
Study limitations
This study had several important limitations. This was a single-centre study with limited sample size and study population distribution skewed towards AF patients concerning warfarin indications. The target INR range for included patients was unknown. Notably, some physicians may have set a lower goal of 1.5 to 2.5 in patients with higher risk of bleeding. Patient TTR could have been affected by medication delay or refusal due to medical procedures. The impacts of TTR on medication costs were not investigated because differences in available strengths of warfarin led to various combinations of warfarin prescriptions. Moreover, we could not adjust for diet, use of traditional Chinese medicine or complementary alternative medications, and medication non-compliance as factors that may influence warfarin control. The OAK test was amended to fit our local practices and was not administered to some of the recruited patients in this study. Further validation is needed concerning the Chinese version of the amended OAK test.
 
Conclusion
Warfarin use in Hong Kong patients was poorly controlled, regardless of indication. Patients with indications for AF had better warfarin control. Using the Japanese therapeutic range, the level of warfarin control remained unsatisfactory. Our study showed that TTR could be a predictor for both economic and clinical outcomes. Younger age was found to be an independent predictor of poor warfarin control, as were concurrent use of aspirin or simvastatin.
 
Patients had poor knowledge concerning INR value and interpretation. More education is needed regarding drug-drug interactions of warfarin and consequences of missed doses.
 
Author contributions
Concept or design: VWY Lee, BPY Yan.
Acquisition of data: IMH Lee, SKS Mak.
Analysis or interpretation of data: ASM Lam, VWY Lee, BPY Yan.
Drafting of the manuscript: ASM Lam, VWY Lee, BPY Yan.
Critical revision for important intellectual content: All authors.
 
All authors had full access to the data, contributed to the study, approved the final version for publication, and take responsibility for its accuracy and integrity.
 
Conflicts of interest
As an editor of the journal, BPY Yan was not involved in the peer review process. Other authors have disclosed no conflicts of interest.
 
Declaration
This manuscript was posted on Research Square as a registered online preprint (https://doi.org/10.21203/rs.2.15276/v1).
 
Funding/support
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
 
Ethics approval
The study was approved by the Joint Chinese University of Hong Kong–New Territories East Cluster Clinical Research Ethics Committee (Ref CRE 2013.667). Informed verbal consent was obtained from patients participating in knowledge assessment, which was conducted via phone interview. The need for patient consent was waived by the Ethics Committee for the retrospective cohort study because no personal identifiers or related information were obtained during the data collection process.
 
References
1. Jabre P, Roger VL, Murad MH, et al. Mortality associated with atrial fibrillation in patients with myocardial infarction a systematic review and meta-analysis. Circulation 2011;123:1587-93. Crossref
2. Wolf PA, Abbott RD, Kannel WB. Atrial fibrillation as an independent risk factor for stroke: the Framingham Study. Stroke 1991;22:983-8. Crossref
3. Cáceres-Lóriga FM, Pérez-López H, Santos-Gracia J, Morlans-Hernandez K. Prosthetic heart valve thrombosis: pathogenesis, diagnosis and management. Int J Cardiol 2006;110:1-6. Crossref
4. Aguilar MI, Hart R. Oral anticoagulants for preventing stroke in patients with non-valvular atrial fibrillation and no previous history of stroke or transient ischemic attacks. Cochrane Database Syst Rev 2005;(3):CD001927. Crossref
5. Cannegieter SC, Rosendaal FR, Briët E. Thromboembolic and bleeding complications in patients with mechanical heart valve prostheses. Circulation 1994;89:635-41. Crossref
6. Kirchhof P, Benussi S, Kotecha D, et al. 2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS. Eur Heart J 2016;37:2893-962. Crossref
7. Asarcıklı LD, Şen T, İpek EG, et al. Time in Therapeutic Range (TTR) value of patients who use warfarin and factors which influence TTR. J Am Coll Cardiol 2013;62:C127-8. Crossref
8. Nelson WW, Choi JC, Vanderpoel J, et al. Impact of co-morbidities and patient characteristics on international normalized ratio control over time in patients with nonvalvular atrial fibrillation. Am J Cardiol 2013;112:509- 12. Crossref
9. Cancino RS, Hylek EM, Reisman JI, Rose AJ. Comparing patient-level and site-level anticoagulation control as predictors of adverse events. Thromb Res 2014;133:652-6. Crossref
10. JCS Joint Working Group. Guidelines for Pharmacotherapy of Atrial Fibrillation (JCS 2013). Circ J 2014;78:1997-2021. Crossref
11. Yasaka M, Minematsu K, Yamaguchi T. Optimal intensity of international normalized ratio in warfarin therapy for secondary prevention of stroke in patients with non-valvular atrial fibrillation. Intern Med 2001;40:1183-8. Crossref
12.Holbrook AM, Pereira JA, Labiris R, et al. Systematic overview of warfarin and its drug and food interactions. Arch Intern Med 2005;165:1095-106. Crossref
13.Leite PM, Martins MAP, Castilho RO. Review on mechanisms and interactions in concomitant use of herbs and warfarin therapy. Biomed Pharmacother 2016;83:14- 21. Crossref
14. Wofford JL, Wells MD, Singh S. Best strategies for patient education about anticoagulation with warfarin: a systematic review. BMC Health Serv Res 2008;8:40. Crossref
15. Kagansky N, Knobler H, Rimon E, Ozer Z, Levy S. Safety of anticoagulation therapy in well-informed older patients. Arch Intern Med 2004;164:2044-50. Crossref
16. Zhou Z, Hu D. An epidemiological study on the prevalence of atrial fibrillation in the Chinese population of mainland China. J Epidemiol 2008;18:209-16. Crossref
17. Schmitt L, Speckman J, Ansell J. Quality assessment of anticoagulation dose management: comparative evaluation of measures of time-in-therapeutic range. J Thromb Thrombolysis 2003;15:213-6. Crossref
18. Schulman S, Kearon C, Subcommittee on Control of Anticoagulation of the Scientific and Standardization Committee of the International Society on Thrombosis and Haemostasis. Definition of major bleeding in clinical investigations of antihemostatic medicinal products in non-surgical patients. J Thromb Haemost 2005;3:692-4. Crossref
19.Government Logistics Department, Hong Kong SAR Government. Hospital Authority Ordinance (Chapter 113). Revision to list of public charges. Available from: http://www.gld.gov.hk/egazette/pdf/20172124/ egn201721243884.pdf. Accessed 6 Dec 2017.
20. Zeolla MM, Brodeur MR, Dominelli A, Haines ST, Allie ND. Development and validation of an instrument to determine patient knowledge: the Oral Anticoagulation Knowledge Test. Ann Pharmacother 2006;40:633-8. Crossref
21.Rahmani P, Guzman CL, Blostein MD, Tabah A, Muladzanov A, Kahn SR. Patients’ knowledge of anticoagulation and its association with clinical characteristics, INR Control and warfarin-related adverse events. Blood 2013;122:1738. Crossref
22. Erkens PM, ten Cate H, Büller HR, Prins MH. Benchmark for time in therapeutic range in venous thromboembolism: a systematic review and meta-analysis. PLoS One 2012;7:e42269. Crossref
23. Tomita H, Kadokami T, Momii H, et al. Patient factors against stable control of warfarin therapy for Japanese non-valvular atrial fibrillation patients. Thromb Res 2013;132:537-42. Crossref
24. Leung CS, Tam KM. Antithrombotic treatment of atrial fibrillation in a regional hospital in Hong Kong. Hong Kong Med J 2003;99:179-85.
25. Li WH, Huang D, Chiang CE, et al. Efficacy and safety of dabigatran, rivaroxaban, and warfarin for stroke prevention in Chinese patients with atrial fibrillation: the Hong Kong Atrial Fibrillation Project. Clin Cardiol 2017;40:222-9. Crossref
26. Grzymala-Lubanski B, Svensson PJ, Renlund H, Jeppsson A, Själander A. Warfarin treatment quality and prognosis in patients with mechanical heart valve prosthesis. Heart 2017;103:198-203. Crossref
27. Tan CS, Fong AY, Jong YH, Ong TK. INR control of patients with mechanical heart valve on long-term warfarin therapy. Glob Heart 2018;13:241-4. Crossref
28. Gaikwad T, Ghosh K, Shetty S. VKORC1 and CYP2C9 genotype distribution in Asian countries. Thromb Res 2014;134:537-44. Crossref
29. Shen AY, Yao JF, Brar SS, Jorgensen MB, Chen W. Racial/ ethnic differences in the risk of intracranial hemorrhage among patients with atrial fibrillation. J Am Coll Cardiol 2007;50:309-15. Crossref
30. Wan Y, Heneghan C, Perera R, et al. Anticoagulation control and prediction of adverse events in patients with atrial fibrillation: a systematic review. Circ Cardiovasc Qual Outcomes 2008;1:84-91. Crossref
31. Deitelzweig S, Evans M, Hillson E, et al. Warfarin time in therapeutic range and its impact on healthcare resource utilization and costs among patients with nonvalvular atrial fibrillation. Curr Med Res Opin 2016;32:87-94. Crossref
32. Skeppholm M, Friberg L. Adherence to warfarin treatment among patients with atrial fibrillation. Clin Res Cardiol 2014;103:998-1005. Crossref
33. Kang CD, Tsang PP, Li WT, et al. Determinants of medication adherence and blood pressure control among hypertensive patients in Hong Kong: a cross-sectional study. Int J Cardiol 2015;182:250-7. Crossref
34. Andersson ML, Mannheimer B, Lindh JD. The effect of simvastatin on warfarin anticoagulation: a Swedish register-based nationwide cohort study. Eur J Clin Pharmacol 2019;75:1387-92. Crossref
35. Li XQ, Andersson TB, Ahlström M, Weidolf L. Comparison of inhibitory effects of the proton pump-inhibiting drugs omeprazole, esomeprazole, lansoprazole, pantoprazole, and rabeprazole on human cytochrome P450 activities. Drug Metab Dispos 2004;32:821-7. Crossref
36. Henriksen DP, Stage TB, Hansen MR, Rasmussen L, Damkier P, Pottegård A. The potential drug-drug interaction between proton pump inhibitors and warfarin. Pharmacoepidemiol Drug Saf 2015;24:1337-40. Crossref
37. Dans AL, Connolly SJ, Wallentin L, et al. Concomitant use of antiplatelet therapy with dabigatran or warfarin in the Randomized Evaluation of Long-Term Anticoagulation Therapy (RE-LY) trial. Circulation 2013;127:634-40. Crossref
38. Proietti M, Lip GY. Impact of quality of anticoagulation control on outcomes in patients with atrial fibrillation taking aspirin: an analysis from the SPORTIF trials. Int J Cardiol 2018;252:96-100. Crossref
39. Matalqah LM, Radaideh K, Sulaiman SA, Hassali MA, Kader MA. An instrument to measure anticoagulation knowledge among Malaysian community: a translation and validation study of the Oral Anticoagulation Knowledge (OAK) Test. Asian J Biomed Pharm Sci 2013;3:30-7.
40. Lee VW, Tam CS, Yan BP, Yu CM, Lam YY. Barriers to warfarin use for stroke prevention in patients with atrial fibrillation in Hong Kong. Clin Cardiol 2013;36:166-71. Crossref
41. Hasan SS, Shamala R, Syed IA, et al. Factors affecting warfarin-related knowledge and INR control of patients attending physician- and pharmacist-managed anticoagulation clinics. J Pharm Pract 2011;24:485-93. Crossref

Patterns of COVID-19 on computed tomography imaging

Hong Kong Med J 2020 Aug;26(4):289–93  |  Epub 30 Jul 2020
© Hong Kong Academy of Medicine. CC BY-NC-ND 4.0
 
ORIGINAL ARTICLE  CME
Patterns of COVID-19 on computed tomography imaging
SK Li, MB, ChB, FRCR; FH Ng, FHKCR, FHKAM (Radiology); KF Ma, FHKCR, FHKAM (Radiology); WH Luk, FHKAM (Radiology), FRCR; YC Lee, FHKAM (Radiology), FRCR; KS Yung, MB, BS
Department of Radiology, Princess Margaret Hospital, Hong Kong
 
Corresponding author: Dr SK Li (leskileskileskileski@gmail.com)
 
 Full paper in PDF
 
Abstract
Purpose: As the designated tertiary referral centre for infectious diseases in Hong Kong, our hospital received the city’s first group of patients diagnosed with coronavirus disease 2019 (COVID-19). Herein, we studied the earliest patients admitted to our centre in order to clarify the typical radiological findings, particularly computed tomography (CT) findings, associated with COVID-19.
 
Methods: From 22 January 2020 to 29 February 2020, 19 patients with confirmed COVID-19 underwent high-resolution or conventional CT scans of the thorax in our centre. The CT imaging findings of these patients with confirmed COVID-19 in Hong Kong were reviewed in this study.
 
Results: Ground-glass opacities (GGO) with peripheral subpleural distribution were found in all patients (100%). No specific zonal predominance was observed. All lobes were involved in 16 (84.2%) patients, focal subsegmental consolidations were observed in 14 (73.7%) patients, and interlobular septal thickening was present in 12 (63.2%) patients. No mediastinal lymph node enlargement, centrilobular nodule, or pleural effusion was detected in any of the patients. Other imaging features present in several patients include bronchial dilatation, bronchial wall thickening, and crazy-paving patterns.
 
Conclusion: Peripheral subpleural GGO without zonal predominance in the absence of centrilobular nodule, pleural effusion, and lymph node enlargement were consistent findings in patients with confirmed COVID-19. The observed radiological patterns on CT scans can help identify COVID-19 and assess affected patients in the context of the ongoing outbreak.
 
 
New knowledge added by this study
  • Peripheral subpleural ground-glass opacities without zonal predominance in the absence of centrilobular nodules, pleural effusion, and lymph node enlargement were consistent findings in initial thoracic computed tomography scans of patients with coronavirus disease 2019 (COVID-19) in Hong Kong.
  • Lung changes in patients with COVID-19 have no zonal predominance, which contrasts with the findings in patients with severe acute respiratory syndrome or Middle East respiratory syndrome, which predominantly affect basal zones.
Implications for clinical practice or policy
  • Knowledge of common radiological patterns on computed tomography of the thorax can help discern the extent of pulmonary involvement and potentially facilitate identification of patients with pneumonia in Hong Kong during the COVID-19 outbreak.
  • Air-space opacities are less frequent in patients with COVID-19 pneumonia, compared with patients with severe acute respiratory syndrome or Middle East respiratory syndrome, which implies that the course of COVID-19 pneumonia might be less aggressive.
 
 
Introduction
The Health Commission of Hubei province, China, first announced a cluster of patients with atypical pneumonia of unidentified pathogenic cause on 31 December 2019.1 The virus was isolated; its genome was then sequenced by a number of Chinese scientists who confirmed it to be a type of coronavirus. The virus was named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and the resulting disease was termed coronavirus disease 2019 (COVID-19) by the World Health Organization.2 The infectious disease centre at Princess Margaret Hospital, Hong Kong, is the designated local tertiary referral centre that provides treatment for patients diagnosed with COVID-19. Case reports available at the time of writing describe ground-glass lung changes in isolated patients with COVID-19.3 4 5 Herein, we evaluate the radiological features in the earliest group of patients with confirmed COVID-19 in Hong Kong. The aim of the present study was to provide insights into radiological identification and assessment of COVID-19 pneumonia.
 
Methods
Patients in this study were confirmed to have SARS-CoV-2 infection on the basis of a positive nasopharyngeal aspirate reverse transcription polymerase chain reaction result and/or a positive serological testing result. The first 20 confirmed patients from all hospitals in Hong Kong were sent to our infectious disease unit for quarantine and treatment.
 
The radiological images reviewed in this study were obtained with high-resolution computed tomography (CT) or conventional thoracic CT. The examinations were performed with a multi-slice 16-head detector scanner (LightSpeed; GE Medical Systems, Waukesha [WI], United States) in the infectious disease centre, which is equipped with a negative pressure ventilating system.
 
The following parameters were used for high-resolution CT of the thorax: voltage, 120 kVp; current, 30-300 mA (smart mA); field of view, 32-40 mm; and gantry rotation, 1.0 s. Conventional CT was performed with the following parameters: voltage, 120 kVp; current, 100-500 mA (smart mA); diagonal field of view, 40 mm; and gantry rotation, 0.5 s.
 
Radiographers who performed CT scans of patients with confirmed or suspected COVID-19 were required to wear full-body protective garments, in accordance with guidelines from infection control specialists. All radiographers wore disposable fluid-resistant gowns, gloves, face shields, face masks with a rating of at least N95 (3M; Aberdeen [SD], United States), disposable shoe wraps, and protective eyewear. Patients were also required to wear masks with a rating of at least N95. All surfaces in contact with or within 1 m of the patients were cleaned with antiviral agents after completion of scanning. Cleaning procedures were performed twice; subsequently, the CT suite was not used for at least 30 minutes to allow for several air exchanges prior to the entry of the next patient.
 
The radiological images were reviewed and interpreted by consensus; the reviewers were two consultant radiologists who were registered specialist radiologists under Hong Kong Medical Council, Fellows of the Royal College of Radiologists, and Fellows of the Hong Kong College of Radiologists with 20 years of experience each in body CT.
 
Results
From 22 January 2020 to 29 February 2020, our hospital received 20 patients aged 25 to 80 years all with confirmed COVID-19 (Table). Chest radiographs were performed for all patients on admission; the most common finding was bilateral non-specific pulmonary infiltrates (Fig 1). Shortly after admission, 19 patients (11 men and eight women) underwent high-resolution CT or conventional plain CT thorax. One patient was asymptomatic and exhibited normal chest radiographs throughout the hospital stay; thus, no CT scans were performed for further evaluation. The median interval from confirmation of diagnosis to CT scanning was 3 days.
 

Figure 1. A middle-aged man who travelled from Hubei province, presenting with fever and respiratory symptoms, was confirmed to have coronavirus disease 2019 (COVID-19). Chest radiograph on admission showed bilateral peripheral non-specific pulmonary infiltrates (arrowheads), a common finding among patients subsequently confirmed to have COVID-19
 
As indicated in the Table, ground-glass opacities (GGO) with peripheral subpleural distribution were observed in all patients (100%) [Figs 2, 3a, b]. Furthermore, 57.9% of the patients exhibited diffuse involvement of both upper and basal zones, 15.8% demonstrated upper zone predominance, and 26.3% demonstrated basal predominance. All lobes of the lungs were involved in 16 (84.2%) patients (Fig 2), subsegmental consolidative changes were present in 14 (73.7%) patients (Fig 3a, c), interlobular septal thickening was present in 12 (63.2%) patients (Fig 3a), bronchial wall thickening or dilation was present in 10 (52.6%) patients (Fig 3b), and crazy-paving patterns were present in six (31.6%) patients (Fig 3). Mediastinal lymph node enlargement (ie, short axis >1 cm), centrilobular nodule, and pleural effusion were not detected in any of the patients.
 

Table. Patient demographics and radiological findings (n=19)
 

Figure 2. Computed tomography scan performed 4 days after the patient was confirmed to have coronavirus disease 2019 (COVID-19) showed bilateral ground-glass opacities in peripheral subpleural distribution (arrowheads) involving all lobes, in the absence of pleural effusion and lymph node enlargement, a pattern commonly encountered in our patients with COVID-19 pneumonia
 

Figure 3. A patient with recent overseas travel history presented with fever and respiratory symptoms consistent with coronavirus disease 2019. (a) Axial computed tomography of thorax showed subsegmental consolidative changes over medial aspect of right upper lobe (arrow). Interlobular septal thickening was observed over bilateral upper lobes (arrowheads). Combined with ground-glass opacities, crazy-paving pattern was noted in right upper lobe. (b) Right lung bronchial wall thickening was present (arrowheads). (c) Peripherally located ground-glass opacities were noted in both lungs (arrowheads). Right lower lobe consolidative changes were present (arrow). Septal thickening and ground-glass opacities in left upper lobe constitute a crazy-paving pattern (circle). Lung changes involved all lobes
 
In summary, peripheral subpleural GGO without zonal predominance in the absence of centrilobular nodules, pleural effusion, and lymph node enlargement were consistent findings. Other common findings included septal thickening, consolidations, bronchial dilatation/wall thickening, and crazy-paving patterns.
 
Discussion
The most common respiratory pathogens are viruses. The imaging findings of viral pneumonia are diverse and often overlap with the findings of other non-viral pneumonias and inflammatory conditions. Imaging findings have been described in recent outbreaks associated with emerging pathogens, including severe acute respiratory syndrome (SARS) coronavirus and Middle East respiratory syndrome (MERS) coronavirus.6 7 Although a definite diagnosis cannot be reached based on imaging features alone, recognition of viral pneumonia patterns can aid in identification of potentially infected patients, especially during a specific viral outbreak.
 
Peripheral subpleural GGO without zonal predominance in the absence of pleural effusion and lymph node enlargement were consistent findings in initial thoracic CT scans of patients with COVID-19. These findings coincide with recent reports of single patients in which the major findings comprised multifocal patchy GGO, most evident around the periphery.3 4 5 Several other findings including bronchial wall thickening, bronchial dilatation, septal thickening, and crazy-paving patterns were also observed in a subset of patients.
 
Similar to our findings, diseases caused by other β-coronaviruses (eg, SARS, MERS, and other endemic human β-coronaviruses including OC43 and HKU1) are also characterised by multifocal peripheral GGOs. Moreover, patients infected with those viruses rarely exhibit cavitation, lymphadenopathy, or pleural effusions,6 similar to the findings in the present study. However, our study showed that lung changes in patients with COVID-19 have no zonal predominance, which contrasts with the findings in patients with SARS or MERS, which predominantly affect basal zones.6 Air-space opacities are less frequent in patients with COVID-19 pneumonia, compared with patients with SARS or MERS, which suggests that the course of COVID-19 pneumonia may be less aggressive. Nonetheless, conclusions should not be drawn prematurely as this study only involved the initial radiological assessment. More insights into the temporal changes regarding radiological findings during the progression of disease will become available as these patients undergo follow-up scans. Further studies that include the clinical course of COVID-19 in these patients will be performed in the future.
 
Conclusion
Coronavirus disease 2019 is a highly contagious disease that requires high vigilance and rapid detection. Knowledge of common radiological patterns on CT thorax can help discern the extent of pulmonary involvement and potentially facilitate identification of patients with pneumonia in Hong Kong during the COVID-19 outbreak.
 
Author contributions
Concept or design: All authors.
Acquisition of data: All authors.
Analysis or interpretation of data: All authors.
Drafting of the manuscript: SK Li, FH Ng.
Critical revision of the manuscript for important intellectual content: SK Li, FH Ng.
 
All authors had full access to the data, contributed to the study, approved the final version for publication, and take responsibility for its accuracy and integrity.
 
Conflicts of interest
The authors have disclosed no conflicts of interest.
 
Acknowledgement
We would like to express our gratitude to the Infectious Disease Team and “dirty team” physicians of Princess Margaret Hospital, Hong Kong, for their professional patient care and invaluable contribution to the understanding of a novel disease.
 
Funding/support
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
 
Ethics approval
This study was carried out with approval from the Kowloon West Cluster Ethics Committee (Ref KW/EX-20-032(144-20)). The requirement for patient consent was waived by the committee.
 
References
1. Centre for Health Protection, Hong Kong SAR Government. CHP closely monitors cluster of pneumonia cases on Mainland. 31 December 2019. Available from: https://www.info.gov.hk/gia/general/201912/31/P2019123100667.htm. Accessed 1 Feb 2020.
2. World Health Organization. Clinical management of severe acute respiratory infection when COVID-19 is suspected. Interim guidance. 12 January 2020. Available from: https://www.who.int/publications-detail/clinical-management-of-severe-acute-respiratory-infection-when-novel-coronavirus-(ncov)-infection-is-suspected. Accessed 1 Feb 2020.
3. Chan JF, Yuan S, Kok KH, et al. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. Lancet 2020;395:514-23. Crossref
4. Medlinkcn.com. 武漢19-nCoV 肺炎影像學表現初探 [in Chinese]. Available from: http://www.medlinkcn. com/?id=138. Accessed 1 Feb 2020.
5. Lei J, Li J, Li X, Qi X. CT imaging of the 2019 novel coronavirus (2019-nCoV) pneumonia. Radiology 2020;295:18. Crossref
6. Koo HJ, Lim S, Choe J, Choi SH, Sung H, Do KH. Radiographic and CT features of viral pneumonia. Radiographics 2018;38:719-39. Crossref
7. Franquet T. Imaging of pulmonary viral pneumonia. Radiology 2011;260:18-39. Crossref

Universal haemoglobin A1c screening reveals high prevalence of dysglycaemia in patients undergoing total knee arthroplasty

Hong Kong Med J 2020 Aug;26(4):304–10  |  Epub 7 Aug 2020
© Hong Kong Academy of Medicine. CC BY-NC-ND 4.0
 
ORIGINAL ARTICLE
Universal haemoglobin A1c screening reveals high prevalence of dysglycaemia in patients undergoing total knee arthroplasty
Vincent WK Chan, FHKCOS, FHKAM (Orthopaedic Surgery)1; PK Chan, FHKCOS, FHKAM (Orthopaedic Surgery)1; YC Woo, FRCP (Lond), FHKAM (Medicine)2; Henry Fu, FHKCOS, FHKAM (Orthopaedic Surgery)1; Amy Cheung, FHKCOS, FHKAM (Orthopaedic Surgery)1; MH Cheung, FHKCOS, FHKAM (Orthopaedic Surgery)3; CH Yan, FHKCOS, FHKAM (Orthopaedic Surgery)3; KY Chiu, FHKCOS, FHKAM (Orthopaedic Surgery)3
1 Department of Orthopaedics and Traumatology, Queen Mary Hospital, Hong Kong
2 Department of Medicine, Queen Mary Hospital, Hong Kong
3 Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong
 
Corresponding author: Dr Vincent WK Chan (drvincentwkchan@gmail.com)
 
 Full paper in PDF
 
Abstract
Introduction: Diabetes mellitus is an established modifiable risk factor for periprosthetic joint infection (PJI). Haemoglobin A1c (HbA1c) is a glycaemic marker that correlates with diabetic complications and PJI. As diabetes and prediabetes are frequently asymptomatic, and there is increasing evidence to suggest a correlation between dysglycaemia and osteoarthritis, it is reasonable to provide HbA1c screening before total knee arthroplasty (TKA). The aim of the present study was to determine the prevalence of dysglycaemia in patients who underwent TKA and investigate whether HbA1c screening and optimisation of glycaemic control before TKA affects the incidence of PJI after TKA.
 
Methods: Patients who underwent primary TKA before and after routine HbA1c screening was introduced in our unit were reviewed. Prediabetes and diabetes were defined according to the American Diabetes Association. Patients with HbA1c ≥7.5% were referred to an endocrinologist for optimisation of glycaemic control before TKA. The incidence PJI, defined according to the Musculoskeletal Infection Society criteria, was recorded.
 
Results: A total of 729 patients (934 knees) had HbA1c screening before TKA. Of them, 17 (2.3%) and 184 (25.2%) patients had known prediabetes and diabetes, respectively, and 265 (36.4%) and 12 (1.6%) had undiagnosed prediabetes and diabetes, respectively. The incidence of PJI was significantly lower in all patients who received HbA1c screening compared with those who did not (0.2% vs 1.02%, P=0.027).
 
Conclusion: Screening for HbA1c before TKA provides a cost-effective opportunity to identify undiagnosed dysglycaemia. Patients identified as having dysglycaemia receive modified treatment, significantly reducing the rate of PJI when compared with historical controls.
 
 
New knowledge added by this study
  • There is a high prevalence of undiagnosed diabetes and prediabetes in patients undergoing total knee arthroplasty (TKA) in Hong Kong.
  • Universal haemoglobin A1c (HbA1c) screening before TKA can identify patients with undiagnosed dysglycaemia.
Implications for clinical practice or policy
  • HbA1c screening should be considered for all patients before TKA.
 
 
Introduction
Worldwide, the prevalence of diabetes mellitus and the number of total knee arthroplasty (TKA) surgeries performed is increasing; therefore, the number of patients with dysglycaemia undergoing TKA is expected to rise.1 2 3 The proportion of patients undergoing TKA who have diabetes mellitus was reported to be 20.6% in the US in 2018.4 Diabetes mellitus is associated with various adverse outcomes after total joint arthroplasty, including periprosthetic joint infection (PJI).5 6 7 8 9 10 Although the occurrence of PJI is rare, it is a devastating complication after total joint arthroplasty, resulting in significant morbidity and even mortality. The economic burden to manage PJI after total joint arthroplasty is projected to be over US$1.62 million by 2020.11 Despite advances in total joint arthroplasty, the risk of PJI remains and likely cannot be eliminated. Therefore, enhancing preoperative screening and optimisation of various risk factors for PJI is of the utmost importance.
 
Glycated haemoglobin A1c (HbA1c) is a readily accessible glycaemic control marker and, according to the American Diabetes Association, HbA1c is also a predictor for diabetes-related complications.12 Previous studies have found that preoperative HbA1c >7.5% or 8% is associated with an increased risk of PJI and wound complications after TKA.13 14 15 Therefore, optimising HbA1c levels to below these suggested thresholds might be a feasible strategy to reduce PJI. Moreover, patients with prediabetes and diabetes are frequently asymptomatic in the early stages and up to 50% of patients present with complications at the time of diagnosis.16 Diabetes mellitus is also associated with the development of osteoarthritis.17 18 Preoperative assessment for TKA provides an ideal opportunity for diabetes screening.
 
In our centre, we introduced universal HbA1c screening 2 to 3 months before surgery for all patients undergoing TKA, regardless of their diabetic status, in March 2017. Patients with HbA1c level ≥7.5% are referred to an endocrinologist for optimisation of glycaemic control before proceeding to TKA surgery.
 
The aim of the present study was to determine the prevalence of prediabetes and diabetes in patients who underwent TKA and investigate whether the introduction of universal HbA1c screening and optimisation of glycaemic control affected the rate of PJI after TKA.
 
Methods
All patients who underwent primary TKA at Queen Mary Hospital, Hong Kong, from December 2014 to May 2019 were reviewed. Patients were diagnosed as prediabetes or diabetes according to the American Diabetes Association definitions, wherein a HbA1c level of 5.7% to 6.4% is defined as prediabetes, and a HbA1c level ≥6.5% is defined as diabetes.10 Patients were classified as undiagnosed prediabetes or diabetes if there was no previous diagnosis or diabetic status in the patient’s medical record. Patients with HbA1c level ≥7.5% were referred to an endocrinologist for optimisation of glycaemic control before proceeding to TKA.
 
Patients who underwent primary TKA from December 2014 to February 2017 did not receive universal HbA1c screening. These patients were included in the study as historical controls, to compare the PJI rate with patients who received HbA1c screening before undergoing TKA from March 2017 to May 2019. These 27-month periods immediately prior to and after the initiation of HbA1c screening were chosen to match as closely as possible the duration, comparable indications, perioperative management, surgical technique, and wound care protocol for better comparisons.
 
All patients received one dose of prophylactic antibiotic on the induction of anaesthesia and no further doses of antibiotics postoperatively. All PJIs were defined according to the Workgroup of the Musculoskeletal Infection Society diagnostic criteria.19
 
The primary outcome of this study was the prevalence of undiagnosed prediabetes and diabetes in patients undergoing TKA, identified by universal HbA1c screening. The secondary outcome was the difference in the PJI rate between patients undergoing TKA who received HbA1 screening and historical control patients undergoing TKA who did not receive HbA1c screening.
 
Fisher’s exact test was used for statistical analysis of categorical variables, and Student’s t test was used for continuous variables. We used SPSS (Windows version 26.0; IBM Corp, Armonk [NY], US) for all analyses. A P value <0.05 was considered statistically significant.
 
Results
A total of 1566 patients (2017 knees) who underwent primary TKA were included for analysis. Of them, 729 patients (934 knees) received HbA1c screening before TKA surgery and 837 patients (1083 knees) did not. The baseline demographics for both groups of patients, including age, sex, body mass index (BMI), the prevalence of known diabetes and diagnosis for TKA are shown in Table 1. The BMI of patients who received HbA1c screening was significantly higher than that of patients who did not (28.4±4.7 vs 27.1±4.5, P=0.0001). Other baseline characteristics were not significantly different between the two groups.
 

Table 1. Demographics of patients who received HbA1c screening and optimisation of glycaemic control before undergoing TKA, and patients who underwent TKA without screening
 
Of the patients who received HbA1c screening, 17 (2.3%) patients were referred to an endocrinologist for optimisation of glycaemic control before TKA and all 17 were seen within 4 months. All 17 of these patients had TKA performed 3 to 18 months after HbA1c level was controlled to <7.5%.
 
Concerning the results for universal HbA1c screening, the overall prevalence of diabetes and prediabetes was 26.9% and 38.7%, respectively. Patients with a known diagnosis of diabetes and prediabetes consisted of 25.2% and 2.3%, respectively, while undiagnosed diabetes and prediabetes consisted of 1.6% and 36.4% as shown in Table 2. Therefore, a total of 38% of patients scheduled for primary TKA have undiagnosed dysglycaemia that were only detected with HbA1c screening. Mean (±standard deviation) HbA1c levels for patients with undiagnosed diabetes, undiagnosed prediabetes, known diabetes, known prediabetes, and those without diabetes were 6.7%±0.15 (range, 6.5-7%), 5.9%±0.20 (range, 5.7-6.4%), 6.6%±0.62 (range, 4.6-8.6%), 6.1%±0.45 (range, 5.4-6.4%), and 5.4%±0.19 (range, 4.8-5.6%), respectively, as shown in Table 2.
 

Table 2. Prevalence of diabetes status and HbA1c% of patients who had universal HbA1c screening before total knee arthroplasty (n=729)
 
The PJI rate for patients who received HbA1c screening before undergoing TKA was significantly lower than that for the historical control group (0.2% vs 1.0%; P=0.027) [Table 3]. Further comparisons found that the PJI rate for patients with dysglycaemia was not significantly higher than that for patients without dysglycaemia in the HbA1c screening group (0.33% vs 0%; P>0.05). The rate of PJI was not significantly different between patients with and without diabetes in the historical control group (1.03% vs 1.02%; P>0.05).
 

Table 3. Rate of periprosthetic joint infection in patients who underwent total knee arthroplasty with or without universal HbA1c screening before surgery
 
Discussion
The main finding of the present study is that a substantial proportion (38.0%) of patients undergoing primary TKA had undiagnosed prediabetes or diabetes. This finding is consistent with an earlier study in the US, which reported 33.6% of patients had undiagnosed dysglycaemia before total hip or knee arthroplasty.20 Universal HbA1c screening allows for earlier diagnosis of prediabetes and diabetes and timely intervention. Because diabetes mellitus is an established risk factor for PJI,5 6 7 8 9 identifying patients with prediabetes and diabetes allows better preoperative communication and risk expectation with the patient before surgery. Moreover, initiating medical treatment to optimise blood glucose control may reduce postoperative hyperglycaemia, of clinical significance, which is an independent risk factor for wound complications and PJI.21 22 23
 
Undiagnosed prediabetes was found in 36.4% of our TKA patients. These patients might have remained undiagnosed for a long period, as most were asymptomatic. Nathan et al24 reviewed the natural history of prediabetes and found that 25% of patients with prediabetes progress to diabetes over the subsequent 3 to 5 years. Therefore, early detection and treatment of prediabetes is important to prevent the development of diabetes and its complications. Early lifestyle changes and medical treatment for prediabetes reduce the chance of progressing to diabetes.25 26
 
In the present study, the PJI rate for patients who received HbA1c screening before undergoing TKA was significantly lower than that for the historical control group (0.2% vs 1.0%; P=0.027). However, only 17 (2.3%) of the screened patients required endocrinologist referral; therefore, the observed reduction in PJI is likely the result of multiple factors. Antibiotic-loaded cement can reduce PJI after total joint arthroplasty27 28; therefore, we routinely use antibiotic-loaded cement for patients with dysglycaemia, who are considered at higher risk of PJI. Further measures are used to prevent postoperative hyperglycaemia in patients with dysglycaemia, such as closer monitoring of glucose level, choice of intravenous fluid, and providing a diabetic diet during their in-patient stay. In addition to screening for dysglycaemia and direct optimisation of glycaemic control, employing a more preventive perioperative care might have contributed to the observed lower rate of PJI in all patients who received HbA1c screening.
 
Patients with diabetes and prediabetes are at increased risk of transient hyperglycaemia and increase glycaemic variability.29 30 Acute glucose fluctuation increases oxidative stress at the cellular level increasing diabetic microvascular and macrovascular complications.29 31 32 Moreover, a recent retrospective review using point-of-care glucose measurement showed that higher postoperative glucose variability after total joint arthroplasty is associated with adverse outcomes, including surgical site infection and PJI.33 Therefore, identifying patients with prediabetes and diabetes before surgery allows closer postoperative surveillance and glycaemic control, which might improve the patients’ clinical outcomes.
 
Universal HbA1c screening for diabetes among patients undergoing primary TKA fulfils many of the criteria for effective screening set out by Wilson and Jungner34 in 1968, including being an important and prevalent health issue, having an acceptable screening test and treatment, and having a recognised early asymptomatic stage. Quan et al3 reviewed the complete census of public health records in Hong Kong and reported that the overall incidences of diabetes and prediabetes in 2014 were 10.29% and 8.9%, respectively. In the present study, we found that the prevalences of diabetes and prediabetes in Hong Kong patients undergoing TKA were 26.9% and 38.7% respectively, which are much higher than in the general local population. This is explained by the linkage between diabetes and osteoarthritis, together with the relatively older age of patients undergoing TKA.17 18 Moreover, the mean BMI in both patient groups is above the cut-off value for obesity in the Hong Kong Chinese population,35 and these patients are therefore considered at high risk for developing type 2 diabetes and cardiovascular disease by the World Health Organization.36 Thus, preoperative assessment for TKA provides an ideal occasion for opportunistic screening for diabetes.
 
Blood HbA1c level is a useful marker in monitoring glucose control and correlates with diabetic complications.12 37 Multiple studies have shown that high preoperative HbA1c is associated with PJI and wound complications after TKA, with proposed HbA1c thresholds from 7.5% to 8%.13 14 15 Other glycaemic markers, such as preoperative fasting glucose, fructosamine, postoperative hyperglycaemia, and glucose variability, are also associated with an increased risk of adverse clinical outcomes, including PJI.21 22 23 31 38 Future studies are needed to clarify the role of each marker, and the use of continuous glucose monitoring devices can reveal the postoperative glucose profile in patients with and without diabetes mellitus after TKA.
 
The rate of PJI after total joint arthroplasty is 0.5% to 2%, and PJI remains the leading cause of revision arthroplasty, comprising up to 25% of all TKA failures.39 40 41 42 Preventing PJI will have a substantial impact on clinical outcomes and the economic burden on our healthcare system. The cost of a single HbA1c test in local laboratories ranges from HK$290 to HK$480. We found that 38% of patients scheduled for primary TKA had undiagnosed dysglycaemia. Therefore, the cost to identify each case of undiagnosed dysglycaemia would be HK$870 to HK$1440, and these patients can receive appropriate and timely treatment. In contrast, treating a single PJI would cost HK$530 000 to HK$830 000.43 Using 7.5% as the HbA1c threshold for referral, we found that only 2.3% of the screening population required assessment and optimisation of glycaemic control by an endocrinologist. Hence, our HbA1c screening and optimisation of glycaemic control did not result in excessive use of medical services.
 
To the best of our knowledge, this is the first study to compare the PJI rate of patients who underwent TKA with or without preoperative universal HbA1c screening. Our findings from a Hong Kong Chinese population add to the body of evidence supporting universal HbA1c screening for patients undergoing TKA. Although few patients in the present study required endocrinologist assessment, identifying undiagnosed dysglycaemia allows early and appropriate intervention. Knowing the diabetic status of patients undergoing TKA also alters the perioperative treatment of these patients, including the use of antibiotic-loaded cement, the choice of intravenous fluid, and postoperative glucose monitoring. Because primary TKA is an elective surgery, the risk factors for adverse outcomes should be thoroughly assessed and optimised, to improve patient safety and maximise the benefit of the surgery.
 
There are several limitations to this study. This was a retrospective study involving Hong Kong Chinese patients undergoing TKA at a single institution. Genetic and social differences affect the prevalence of diabetes,44 and the perioperative care for dysglycaemic patients varies between different institutions; therefore caution is advised when generalising the results to other populations. Other medical co-morbidities that affect the risk of PJI were not controlled for, such as rheumatological diseases, obesity, malnutrition, preoperative anaemia, history of steroid administration, and malignancy.7 45 46 In the present study, diagnosis and identification of PJI was based on analysis of medical records in the public healthcare system. Patients treated elsewhere, such as in the private healthcare sector, were not included in this study. Similarly, patients in the historical control that had dysglycaemia diagnosed and managed by private practitioners would be labelled as non-diabetes. Moreover, diabetes and prediabetes were defined using only HbA1c, and fasting blood glucose and oral glucose tolerance tests were not performed, potentially leading to an underestimation of dysglycaemia. Finally, although all TKA procedures and perioperative care routines were performed consistently by the same surgical team, advances in surgical technique and perioperative patient care may have created bias when historical data are used as controls. Future prospective, comparative studies with larger sample sizes and multivariate analyses are required to clarify the role of universal diabetes screening and optimisation of the risks of PJI after total joint arthroplasty.
 
Conclusion
Universal HbA1c screening for patients before undergoing TKA provides a valuable opportunity to identify undiagnosed dysglycaemia. Patients identified as having dysglycaemia receive modified treatments, including preoperative optimisation of glycaemic control, resulted in a significantly lower rate of PJI when compared with historical controls.
 
Author contributions
All authors contributed to the concept of the study, analysis or interpretation of the data, drafting of the manuscript, and critical revision of the manuscript for important intellectual content. All authors had full access to the data, contributed to the study, approved the final version for publication, and take responsibility for its accuracy and integrity.
 
Conflicts of interest
All authors have disclosed no conflicts of interest.
 
Declaration
The results of this study were presented in part as a free paper on adult joint reconstruction at the Hong Kong Orthopaedic Association Annual Congress in 2019.
 
Funding/support
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
 
Ethics approval
This study was approved by the University of Hong Kong/Hospital Authority Hong Kong West Cluster Institutional Review Board (Ref UW 20-157). The need for informed consent from the patients was waived by Institutional Review Board, owing to the retrospective nature of the study.
 
References
1. Klonoff DC. The increasing incidence of diabetes in the 21st century. J Diabetes Sci Technol 2009;3:1-2. Crossref
2. Memtsoudis SG, Della Valle AG, Besculides MC, Gaber L, Laskin R. Trends in demographics, comorbidity profiles, in-hospital complications and mortality associated with primary knee arthroplasty. J Arthroplasty 2009;24:518-27. Crossref
3. Quan J, Li TK, Pang H, et al. Diabetes incidence and prevalence in Hong Kong, China during 2006-2014. Diabet Med 2017;34:902-8. Crossref
4. Shohat N, Goswami K, Tarabichi M, Sterbis E, Tan TL, Parvizi J. All patients should be screened for diabetes before total joint arthroplasty. J Arthroplasty 2018;33:2057-61. Crossref
5. Marchant MH Jr, Viens NA, Cook C, Vail TP, Bolognesi MP. The impact of glycemic control and diabetes mellitus on perioperative outcomes after total joint arthroplasty. J Bone Joint Surg Am 2009;91:1621-9. Crossref
6. Stryker LS, Abdel MP, Morrey ME, Morrow MM, Kor DJ, Morrey BF. Elevated postoperative blood glucose and preoperative hemoglobin A1C are associated with increased wound complications following total joint arthroplasty. J Bone Joint Surg Am 2013;95:808-14, S1-2. Crossref
7. Kunutsor SK, Whitehouse MR, Blom AW, Beswick AD; INFORM Team. Patient-related risk factors for periprosthetic joint infection after total joint arthroplasty: a systematic review and meta-analysis. PloS One 2016;11:e0150866. Crossref
8. Bozic KJ, Lau E, Kurtz S, et al. Patient-related risk factors for periprosthetic joint infection and postoperative mortality following total hip arthroplasty in Medicare patients. J Bone Joint Surg Am 2012;94:794-800. Crossref
9. Schwarz EM, Parvizi J, Gehrke T, et al. 2018 International Consensus Meeting on Musculoskeletal Infection: Research Priorities from the General Assembly Questions. J Orthop Res 2019;37:997-1006. Crossref
10. Meding JB, Reddleman K, Keating ME, et al. Total knee replacement in patients with diabetes mellitus. Clin Orthop Relat Res 2003;(416):208-16. Crossref
11. Kurtz SM, Lau E, Watson H, Schmier JK, Parvizi J. Economic burden of periprosthetic joint infection in the United States. J Arthroplasty 2012;27(8 Suppl):61-5.e1. Crossref
12. American Diabetes Association. Standards of medical care in diabetes–2013. Diabetes Care 2013;36 Suppl 1:S11-66. Crossref
13. Cancienne JM, Werner BC, Browne JA. Is there an association between hemoglobin A1C and deep postoperative infection after TKA? Clin Orthop Relat Res 2017;475:1642-9. Crossref
14. Tarabichi M, Shohat N, Kheir MM, et al. Determining the threshold for HbA1c as a predictor for adverse outcomes after total joint arthroplasty: a multicenter, retrospective study. J Arthroplasty 2017;32:S263-S267.e1. Crossref
15. Han HS, Kang SB. Relations between long-term glycemic control and postoperative wound and infectious complications after total knee arthroplasty in type 2 diabetics. Clin Orthop Surg 2013;5:118-23. Crossref
16. UK Prospective Diabetes Study (UKPDS). VIII. Study design, progress and performance [editorial]. Diabetologia 1991;34:877-90. Crossref
17. Courties A, Sellam J. Osteoarthritis and type 2 diabetes mellitus: What are the links? Diabetes Res Clin Pract 2016;122:198-206. Crossref
18. Schett G, Kleyer A, Perricone C, et al. Diabetes is an independent predictor for severe osteoarthritis: results from a longitudinal cohort study. Diabetes Care 2013;36:403-9. Crossref
19. Parvizi J, Zmistowski B, Berbari EF, et al. New definition for periprosthetic joint infection: from the Workgroup of the Musculoskeletal Infection Society. Clin Orthop Relat Res 2011;469:2992-4. Crossref
20. Capozzi JD, Lepkowsky ER, Callari MM, Jordan ET, Koenig JA, Sirounian GH. The prevalence of diabetes mellitus and routine hemoglobin A1c screening in elective total joint arthroplasty patients. J Arthroplasty 2017;32:304-8. Crossref
21. Jämsen E, Nevalainen P, Eskelinen A, Huotari K, Kalliovalkama J, Moilanen T. Obesity, diabetes, and preoperative hyperglycemia as predictors of periprosthetic joint infection: a single-center analysis of 7181 primary hip and knee replacements for osteoarthritis. J Bone Joint Surg Am 2012;94:e101. Crossref
22. Kheir MM, Tan TL, Kheir M, Maltenfort MG, Chen AF. Postoperative blood glucose levels predict infection after total joint arthroplasty. J Bone Joint Surg Am 2018;100:1423-31. Crossref
23. Chrastil J, Anderson MB, Stevens V, Anand R, Peters CL, Pelt CE. Is hemoglobin A1c or perioperative hyperglycemia predictive of periprosthetic joint infection or death following primary total joint arthroplasty? J Arthroplasty 2015;30:1197-202. Crossref
24. Nathan DM, Davidson MB, DeFronzo RA, et al. Impaired fasting glucose and impaired glucose tolerance: implications for care. Diabetes Care 2007;30:753-9. Crossref
25. Knowler WC, Barrett-Connor E, Fowler SE, et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med 2002;346:393- 403. Crossref
26. Lindström J, Ilanne-Parikka P, Peltonen M, et al. Sustained reduction in the incidence of type 2 diabetes by lifestyle intervention: follow-up of the Finnish Diabetes Prevention Study. Lancet 2006;368:1673-9. Crossref
27. Wang J, Zhu C, Cheng T, et al. A systematic review and meta-analysis of antibiotic-impregnated bone cement use in primary total hip or knee arthroplasty. PLoS One 2013;8:e82745. Crossref
28. Sebastian S, Liu Y, Christensen R, Raina DB, Tägil M, Lidgren L. Antibiotic containing bone cement in prevention of hip and knee prosthetic joint infections: a systematic review and meta-analysis. J Orthop Translat 2020;23:53-60. Crossref
29. Timmons JG, Cunningham SG, Sainsbury CA, Jones GC. Inpatient glycemic variability and long-term mortality in hospitalized patients with type 2 diabetes. J Diabetes Complications 2017;31:479-82. Crossref
30. Hanefeld M, Sulk S, Helbig M, Thomas A, Kohler C. Differences in glycemic variability between normoglycemic and prediabetic subjects. J Diabetes Sci Technol 2014;8:286- 90. Crossref
31. Brownlee M, Hirsch IB. Glycemic variability: a hemoglobin A1c-independent risk factor for diabetic complications. JAMA 2006;295:1707-8. Crossref
32. Nusca A, Tuccinardi D, Albano M, et al. Glycemic variability in the development of cardiovascular complications in diabetes. Diabetes Metab Res Rev 2018;34:e3047. Crossref
33. Shohat N, Restrepo C, Allierezaie A, Tarabichi M, Goel R, Parvizi J. Increased postoperative glucose variability is associated with adverse outcomes following total joint arthroplasty. J Bone Joint Surg Am 2018;100:1110-7. Crossref
34. Wilson JM, Jungner YG. Principles and practice of screening for disease [in Spanish]. Bol Oficina Sanit Panam 1968;65:281-393.
35. Ko GT, Tang J, Chan JC, et al. Lower BMI cut-off value to define obesity in Hong Kong Chinese: an analysis based on body fat assessment by bioelectrical impedance. Br J Nutr 2001;85:239-42. Crossref
36. WHO Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 2004;363:157-63. Crossref
37. Davies MJ, D’Alessio DA, Fradkin J, et al. Management of hyperglycemia in type 2 diabetes, 2018. A consensus report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetes Care 2018;41:2669-701. Crossref
38. Shohat N, Tarabichi M, Tischler EH, Jabbour S, Parvizi J. Serum fructosamine: a simple and inexpensive test for assessing preoperative glycemic control. J Bone Joint Surg Am 2017;99:1900-7. Crossref
39. Bozic KJ, Ries MD. The impact of infection after total hip arthroplasty on hospital and surgeon resource utilization. J Bone Joint Surg Am 2005;87:1746-51. Crossref
40. Bozic KJ, Kurtz SM, Lau E, et al. The epidemiology of revision total knee arthroplasty in the United States. Clin Orthop Relat Res 2010;468:45-51. Crossref
41. Delanois RE, Mistry JB, Gwam CU, Mohamed NS, Choksi US, Mont MA. Current epidemiology of revision total knee arthroplasty in the United States. J Arthroplasty 2017;32:2663-8. Crossref
42. Sculco TP. The economic impact of infected total joint arthroplasty. Instr Course Lect 1993;42:349-51.
43. Parvizi J, Pawasarat IM, Azzam KA, Joshi A, Hansen EN, Bozic KJ. Periprosthetic joint infection: the economic impact of methicillin-resistant infections. J Arthroplasty 2010;25(6 Suppl):103-7. Crossref
44. Golden SH, Yajnik C, Phatak S, Hanson RL, Knowler WC. Racial/ethnic differences in the burden of type 2 diabetes over the life course: a focus on the USA and India. Diabetologia 2019;62:1751-60. Crossref
45. Bozic KJ, Lau E, Kurtz S, Ong K, Berry DJ. Patient-related risk factors for postoperative mortality and periprosthetic joint infection in Medicare patients undergoing TKA. Clin Orthop Relat Res 2012;470:130-7. Crossref
46. Zhu Y, Zhang F, Chen W, Liu S, Zhang Q, Zhang Y. Risk factors for periprosthetic joint infection after total joint arthroplasty: a systematic review and meta-analysis. J Hosp Infect 2015;89:82-9. Crossref

Acceptance of antiviral treatment and enhanced service model for pregnant patients carrying hepatitis B

Hong Kong Med J 2020 Aug;26(4):318–22  |  Epub 12 Aug 2020
© Hong Kong Academy of Medicine. CC BY-NC-ND 4.0
 
ORIGINAL ARTICLE
Acceptance of antiviral treatment and enhanced service model for pregnant patients carrying hepatitis B
PW Hui, MD, FHKAM (Obstetrics and Gynaecology)1; Carmen Ng, MB, BS1; KW Cheung, MB, BS, FHKAM (Obstetrics and Gynaecology)1; CL Lai, MD, FHKAM (Medicine)
1 Department of Obstetrics and Gynaecology, Queen Mary Hospital, Hong Kong
2 Department of Medicine, The University of Hong Kong, Hong Kong
 
Corresponding author: Dr PW Hui (apwhui@hku.hk)
 
 Full paper in PDF
 
Abstract
Introduction: A service model was established for pregnant women with positive screening results for hepatitis B surface antigen (HBsAg) at Queen Mary Hospital in Hong Kong. All women were offered a blood test for hepatitis B virus (HBV) DNA level during the first antenatal visit. Women with HBV DNA levels of ≥200 000 IU/mL received counselling from hepatologists regarding treatment with antenatal tenofovir disoproxil fumarate (TDF) 300 mg daily.
 
Methods: This retrospective review included women attending our antenatal clinic who exhibited positive HBsAg screening results from 15 May 2017 to 31 December 2019. The proportions of women with positive HBsAg, DNA test acceptance, hepatological review, and TDF acceptance during pregnancy were reviewed.
 
Results: In total, 375 (2.9%) of 13 082 pregnant women had positive HBsAg screening results. Blood tests for HBV DNA and hepatological reviews were offered to 273 women who had not undergone hepatological review prior to pregnancy; the acceptance rate was 97.8%. Sixty (22.6%) pregnant women were hepatitis B carriers with high viral loads of ≥200 000 IU/mL. Among 58 women with high viral loads, 57 received antenatal counselling regarding TDF and 56 (96.6%) agreed to take the drug; 92.9% of these 56 women had commenced TDF at or before 32 weeks of gestation.
 
Conclusions: This study indicated broad acceptance of HBV DNA tests by pregnant women. Triage allowed early review and commencement of antiviral medication. This service model serves as a framework for enhanced antenatal service to prevent mother-to-child-transmission in public maternity units.
 
 
New knowledge added by this study
  • More than 70% of the pregnant women in our cohort did not have hepatitis B virus (HBV) viral load testing or regular hepatological surveillance before pregnancy.
  • Antenatal testing of HBV DNA level and treatment with tenofovir disoproxil fumarate was widely accepted by pregnant women.
  • More than 90% of pregnant women accepted tenofovir disoproxil fumarate treatment at or before 32 weeks of gestation.
Implications for clinical practice or policy
  • HBV DNA testing should be arranged in all pregnant women carrying hepatitis B; triage allows early review and commencement of antiviral medication.
  • An enhanced service model involving multidisciplinary assessment and treatment by obstetricians and hepatologists is achievable in a public hospital in Hong Kong.
 
 
Introduction
The World Health Organization aims to eradicate hepatitis B virus (HBV) by 2030 and prevention of vertical transmission is a key element of its eradication efforts.1 The risk of chronic infection depends on the timing of infection acquisition and is highest during the perinatal period, such that chronic infection occurs in approximately 90% of newborns from HBV-infected mothers.2 The risk is dramatically reduced by administration of hepatitis B immunoglobulin to newborns at birth, in combination with a complete course of hepatitis B vaccination.3 Despite a 75% to 90% reduction in the carrier rate with these measures, they have not resulted in complete eradication of HBV infections. Among the maternal and obstetric factors examined, a high maternal HBV DNA level during pregnancy is the strongest risk factor leading to immunoprophylaxis failure.4 5 6 7
 
The immunoprophylaxis failure rate in Hong Kong is reportedly 1.1%, according to the results of a local prospective multicentre observational study.5 Immunoprophylaxis failure occurs only in those women with high viral load (ie, ≥6 log10 copies/mL [≥171 821 IU/mL]; immunoprophylaxis failure rate 4.2%) or hepatitis B e-antigen (HBeAg)–positive status (immunoprophylaxis failure rate 4.5%). The use of antiviral treatment during the third trimester in highly viraemic mothers to suppress viral load has been advocated to reduce the risk of chronic HBV infection in newborns.8 9 To achieve this, it is essential to establish a management strategy that includes HBV DNA assessment for identification of high-risk patients, as well as initiation of prompt antiviral treatment in the antenatal period.
 
An enhanced service model for pregnant women who had positive screening results for hepatitis B surface antigen (HBsAg) was established on 15 May 2017 at Queen Mary Hospital in Hong Kong (Fig 1). All women were offered blood tests for HBV DNA, performed by the Department of Medicine, The University of Hong Kong, during their first antenatal visits at Tsan Yuk Hospital or Queen Mary Hospital. The cost of HK$400 per test was borne by the patients; the laboratory results were reviewed by hepatologists.
 

Figure 1. Flowchart illustrating enhanced service model for pregnant women carrying hepatitis B virus
 
Pregnant women with HBV DNA levels of ≥200 000 IU/mL were triaged by hepatologists for an early clinic appointment, generally before 33 weeks of gestation, to receive counselling regarding potential antiviral treatment. Tenofovir disoproxil fumarate (TDF) 300 mg daily was chosen for its potent efficacy and risk of pre-existing or emergent resistant mutants from previous lamivudine and telbivudine treatments.10 11 12 Drug compliance and HBV DNA level were monitored regularly. All other pregnant women with viral loads of <200 000 IU/mL were also scheduled for an elective long-term follow-up appointment. Irrespective of viral load, all neonates born from pregnant women with hepatitis B were administered HBV vaccine and hepatitis B immunoglobulin within 12 hours of birth. The present study aimed to evaluate the patients’ acceptance and outcome of this enhanced service model for management of pregnant women carrying hepatitis B.
 
Methods
This retrospective review included all women who attended the antenatal clinic from 15 May 2017 to 31 December 2019. Information regarding hepatitis B carrier status, HBV DNA blood test acceptance, viral load, patient triage, and TDF acceptance were retrieved from the antenatal record system and clinical management system under the Hong Kong Hospital Authority. The HBV DNA assays were performed in Department of Medicine, The University of Hong Kong.
 
Each patient’s HBV carrier status was determined by an HBsAg test performed during pregnancy. Hepatitis B virus DNA level was considered high for viral loads of ≥200 000 IU/mL and low for viral loads of <200 000 IU/mL. The rate of antenatal acceptance of TDF was defined as the proportion of women taking TDF in the group with high viral loads who had been counselled by hepatologists. Descriptive statistics are reported.
 
Results
Of 13 082 women who attended the antenatal clinic from 15 May 2017 to 31 December 2019, 375 pregnant women had positive HBsAg screening results; the carrier rate was 2.9%. In total, 102 (27.2%) women had undergone HBV DNA testing or received regular hepatological follow-up before pregnancy. Blood tests for HBV DNA and hepatological reviews were offered to 273 pregnant women. Two women refused further assessment and four women did not attend the blood test visit. Reasons for refusal or non-attendance were not documented. Of the four women who did not attend the blood test visit, two were reminded of the need for a blood test at subsequent antenatal visits, but did not complete the tests. Overall, the acceptance rate for hepatological review was 97.8% (267/273). Among the 267 women who accepted hepatological reviews, blood tests were not performed because of pregnancy termination due to trisomy 21 (n=1) and miscarriage (n=1). Thus, the final cohort comprised 265 pregnant women who had HBV viral load results available for triage assessment. The median gestational age at the time of HBV testing was 17 weeks.
 
Sixty (22.6%) pregnant women were HBV carriers with viral loads of ≥200 000 IU/mL; highest level was 688 000 000 IU/mL. The median age of women with high viral loads was not substantially lower than that of women with low viral loads (33 years vs 35 years; Wilcoxon rank sum test; not significant).
 
Fifty eight of the 60 patients with high viral loads were scheduled for hepatological review before the expected date of delivery. First hepatological review appointments were scheduled for 55 (91.7%) women and 44 (73.3%) women at or before 32 and 28 weeks of gestation, respectively. Among the three women who scheduled their first hepatological review appointment after 32 weeks of gestation, two delayed the referral submission and one had attended the antenatal clinic at an advanced stage of gestation (Fig 2).
 

Figure 2. Hepatitis B virus DNA level and acceptance of antenatal antiviral prophylaxis for pregnant women carrying hepatitis B virus
 
One patient did not attend a hepatological review appointment before 28 weeks of gestation. The remaining 57 women with high viral loads received antenatal counselling regarding TDF and 56 women agreed to take the drug, thereby constituting an antenatal acceptance rate of 96.6% (56/58). The acceptance rates of TDF among women with high viral loads are shown in the Table.
 

Table. Acceptance of hepatological review and tenofovir disoproxil fumarate treatment among 60 pregnant women with high hepatitis B viral load (≥200 000 IU/mL)
 
Treatment with TDF commenced at a median gestational age of 26 weeks (range, 20-38 weeks). Overall, 44 (78.6%) women received 300 mg daily TDF at or before 28 weeks of gestation. Among the 12 women who began TDF treatment after 28 weeks of gestation, four had deferred blood tests for assessment of viral load, six had late antenatal clinic appointments, one did not attend the initial appointment at 28 weeks, and one attended the clinic at 33 weeks of gestation. Overall, 52 (92.9%) women commenced TDF treatment at or before 32 weeks of gestation.
 
Discussion
Screening for HBV carrier status is a universal antenatal test in Hong Kong. Women who have positive screening results are counselled regarding the risk of vertical transmission. In 1983, a neonatal HBV vaccination programme was introduced in Hong Kong to cover vaccination for first newborns of carrier mothers. This became universal in November 1988; hepatitis B immunoglobulin and hepatitis B vaccine have since been administered to all babies born to mothers carrying HBV. These measures focus mainly on postnatal neonatal immunoprophylaxis; however, they lack a robust system for actively reducing the antenatal risk of vertical transmission, as well as a referral system that ensures long-term hepatological follow-up for carrier mothers.
 
The present study demonstrated an effective and acceptable approach involving HBV DNA testing during triage of obstetric patients for prevention of perinatal HBV transmission. Data from the Centre of Health Protection have shown that the HBsAg prevalence in pregnant women is decreasing, from >10% in the early 1990s to 5.0% in 2017.13 The HBV carrier rate in the present study (2.9%) was lower than that previously reported in Hong Kong. Our cohort included women with HBsAg who were tested from May 2017 to December 2019; the low carrier rate in the present study might reflect a continuous reduction in overall HBsAg prevalence, due to universal neonatal vaccination.14 However, more than 70% of the pregnant women in our cohort did not have HBV viral load testing or regular hepatological surveillance before pregnancy. This is an important public health concern, because HBV carriers with high viral loads are at higher risk of mother-to-child transmission of HBV, as well as development of liver cirrhosis and hepatocellular carcinoma. With proper antenatal education and general awareness, nearly 98% of the obstetric patients in our population were willing to undergo self-financed HBV DNA testing.
 
Viral load is a key factor that influences immunoprophylaxis failure4; a higher risk of immunoprophylaxis failure has been demonstrated in women with viral loads of ≥200 000 IU/mL. Positive HBeAg screening results, maternal age <35 years, and body mass index ≤21 kg/m2 have been associated with a higher mean viral load.15 Our study showed that 22.6% of women had viral loads of ≥200 000 IU/mL, which was comparable to previous findings. Although age was not a statistically significant factor in the present study, a previous study showed that women with high viral loads were younger than women with low viral loads.5 The prevention of perinatal transmission is of considerable importance in achieving complete eradication of HBV. Incorporation of HBV DNA testing during pregnancy is a key element that can facilitate identification of at-risk pregnant women who may benefit from antenatal antiviral prophylaxis. Ideally, both liver function test and HBeAg should be assessed in pregnant women to determine their HBV disease status; antiviral treatment may be initiated for maternal indications. Although the presence of HBeAg suggests a high risk of immunoprophylaxis failure, HBeAg was not routinely assessed during triage in the present cohort because it was not regarded as an indicator of the need for antiviral treatment to prevent vertical transmission.9 16 17 Additionally, HBV DNA quantification provides a continuous assessment of risk according to viral load, compared to the dichotomous result of HBeAg screening. Therefore, HBV DNA level should be used to identify women who should receive antiviral treatment.18
 
Tenofovir disoproxil fumarate is the drug of choice for antenatal prophylaxis because of its potent effect and the possibility of mutants resistant to lamivudine and telbivudine, due to prior treatment with those drugs.11 12 19 Breastfeeding is not contra-indicated for women who are taking TDF. A highly promising rate of antenatal acceptance of TDF (96.6%) was observed among women who had undergone antenatal hepatological review. This indicates the need for surveillance and the usefulness of patient education during the antenatal period.
 
Although the optimal timing of antiviral treatment remains controversial, randomised controlled trials show that initiation of TDF during the period between 28 and 32 weeks of gestation is effective in reduction of immunoprophylaxis failure. Earlier initiation of antiviral treatment is unnecessary, because the immunoprophylaxis failure rate is not appreciably reduced. Postponement of treatment to a point later than 32 weeks of gestation may result in an insufficient duration of treatment and suboptimal viral load reduction at delivery.10 20 Guidelines from the American Association for the Study of Liver Diseases and the Asian Pacific Association for the Study of the Liver recommend initiation of treatment at 28 to 32 weeks of gestation.9 21 The present study demonstrated a feasible framework for triage of nearly all pregnant women with high viral loads before their dates of delivery. Nearly 93% were able to initiate antiviral prophylaxis at or before 32 weeks of gestation; this could only be attained with an appropriate hepatological review appointment during pregnancy. The arrangement could be further improved if women could attend antenatal visits earlier during pregnancy, blood test logistics could be simplified, and resources could be allocated more effectively.
 
Conclusion
To the best of our knowledge, the multidisciplinary efforts of obstetricians and hepatologists have enabled Queen Mary Hospital to become the first public hospital in Hong Kong with enhanced antenatal management for pregnant women carrying hepatitis B. The proportion of women with high viral loads was comparable to the proportions in previous studies. Our results indicated the usefulness of HBV DNA blood tests in pregnant women and high acceptance of antenatal antiviral treatment. Triage according to HBV DNA level allowed early hepatological review and commencement of antiviral medication, thereby reducing the viral load at the time of delivery and minimising the risk of vertical transmission. This service model was adopted as a framework for implementation of a fully funded enhanced antenatal service to prevent mother-to-child transmission of HBV in public maternity units, commencing 1 January 2020.
 
Author contributions
Concept or design: PW Hui.
Acquisition of data: C Ng, PW Hui.
Analysis or interpretation of data: C Ng, PW Hui.
Drafting of the manuscript: PW Hui.
Critical revision of the manuscript for important intellectual content: KW Cheung, CL Lai.
 
All authors had full access to the data, contributed to the study, approved the final version for publication, and take responsibility for its accuracy and integrity.
 
Conflicts of interest
All authors have disclosed no conflicts of interest.
 
Acknowledgement
The authors thank Mr John Yuen for performing HBV DNA analysis.
 
Funding/support
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
 
Ethics approval
This research was approved by the Institutional Review Board of the University of Hong Kong / Hospital Authority West Cluster (Ref UW 20-092).
 
References
1. World Health Organization. Global Health Sector Strategy on viral hepatitis 2016-2021, towards ending viral hepatitis. 2016. Available from: http://apps.who.int/iris/bitstream/handle/10665/246177/WHO-HIV-2016.06-eng.pdf?sequence=1. Accessed 2 Feb 2020.
2. Edmunds WJ, Medley GF, Nokes DJ, Hall AJ, Whittle HC. The influence of age on the development of the hepatitis B carrier state. Proc Biol Sci 1993;253:197-201. Crossref
3. Lee C, Gong Y, Brok J, Boxall EH, Gluud C. Effect of hepatitis B immunisation in newborn infants of mothers positive for hepatitis B surface antigen: systematic review and meta-analysis. BMJ 2006;332:328-36. Crossref
4. Cheung KW, Seto MT, Wong SF. Towards complete eradication of hepatitis B infection from perinatal transmission: review of the mechanisms of in utero infection and the use of antiviral treatment during pregnancy. Eur J Obstet Gynecol Reprod Biol 2013;169:17-23. Crossref
5. Cheung KW, Seto MT, Kan AS, et al. Immunoprophylaxis failure of infants born to hepatitis B carrier mothers following routine vaccination. Clin Gastroenterol Hepatol 2018;16:144-5. Crossref
6. Wen WH, Chang MH, Zhao LL, et al. Mother-to-infant transmission of hepatitis B virus infection: significance of maternal viral load and strategies for intervention. J Hepatol 2013;59:24-30. Crossref
7. Zou H, Chen Y, Duan Z, Zhang H, Pan C. Virologic factors associated with failure to passive-active immunoprophylaxis in infants born to HBsAg-positive mothers. J Viral Hepat 2012;19:e18-25. Crossref
8. European Association for the Study of the Liver. EASL 2017 Clinical Practice Guidelines on the management of hepatitis B virus infection. J Hepatol 2017;67:370-98.
9. Terrault NA, Lok AS, McMahon BJ, et al. Update on prevention, diagnosis, and treatment of chronic hepatitis B: AASLD 2018 hepatitis B guidance. Hepatology 2018;67:1560-99. Crossref
10. Pan CQ, Duan Z, Dai E, et al. Tenofovir to prevent hepatitis B transmission in mothers with high viral load. N Engl J Med 2016;374:2324-34. Crossref
11. Hyun MH, Lee YS, Kim JH, et al. Systematic review with meta-analysis: the efficacy and safety of tenofovir to prevent mother-to-child transmission of hepatitis B virus. Aliment Pharmacol Ther 2017;45:1493-505. Crossref
12. Hu YH, Liu M, Yi W, Cao YJ, Cai HD. Tenofovir rescue therapy in pregnant females with chronic hepatitis B. World J Gastroenterol 2015;21:2504-9. Crossref
13. Viral Hepatitis Control Office, Special Preventive Programme, Centre for Health Protection, Department of Health, Hong Kong SAR Government. Surveillance of Viral Hepatitis in Hong Kong—2017 Update Report. Available from: https://www.chp.gov.hk/files/pdf/viral_hepatitis_report.pdf. Accessed 2 Feb 2020.
14. Lao TT, Sahota DS, Chan PK. Three decades of neonatal vaccination has greatly reduced antenatal prevalence of hepatitis B virus infection among gravidae covered by the program. J Infect 2018;76:543-9. Crossref
15. Cheung KW, Seto MTY, So PL, et al. Optimal timing of hepatitis B virus DNA quantification and clinical predictors for higher viral load during pregnancy. Acta Obstet Gynecol Scand 2019;98:1301-6. Crossref
16. Hu Y, Xu C, Xu B, et al. Safety and efficacy of telbivudine in late pregnancy to prevent mother-to-child transmission of hepatitis B virus: a multicenter prospective cohort study. J Viral Hepat 2018;25:429-37. Crossref
17. Jourdain G, Ngo-Giang-Huong N, Harrison L, et al. Tenofovir versus placebo to prevent perinatal transmission of hepatitis B. N Engl J Med 2018;378:911-23. Crossref
18. Cheung KW, Lao TT. Hepatitis B—Vertical transmission and the prevention of mother-to-child transmission [in press]. Best Pract Res Clin Obstet Gynaecol. In press.
19. Cheung KW, Seto MT, Lao TT. Prevention of perinatal hepatitis B virus transmission. Arch Gynecol Obstet 2019;300:251-9. Crossref
20. Yang X, Zhong X, Liao H, Lai Y. Efficacy of antiviral therapy during the second or the third trimester for preventing mother-to-child hepatitis B virus transmission: a systematic review and meta-analysis. Rev Inst Med Trop Sao Paulo 2020;62:e13. Crossref
21. Sarin SK, Kumar M, Lau GK, et al. Asian-Pacific clinical practice guidelines on the management of hepatitis B: a 2015 update. Hepatol Int 2016;10:1-98. Crossref

Communication skills of providers at primary healthcare facilities in rural China

Hong Kong Med J 2020 Jun;26(3):208–15  |  Epub 4 Jun 2020
Hong Kong Academy of Medicine. CC BY-NC-ND 4.0
 
ORIGINAL ARTICLE
Communication skills of providers at primary healthcare facilities in rural China
Q Zhou, MSc1; Q An, MSc1; N Wang, MSc1; Jason Li, BS2; Y Gao, MD, PhD3; J Yang, PhD1; J Nie, PhD1; Q Gao, PhD1; H Xue, PhD1
1 Center for Experimental Economics in Education, Shaanxi Normal University, Xi’an, China
2 Harvard Medical School, Harvard University, United States
3 Cadre Training Centre, National Health and Family Planning Commission of People’s Republic of China, Beijing, China
 
Corresponding author: Ms J Yang (jyang0716@163.com)
 
 Full paper in PDF
 
Abstract
Introduction: Effective provider-patient communication has been confirmed to improve diagnosis, treatment planning, health outcomes, patient satisfaction, and treatment compliance. Few studies have measured the effectiveness of communication between patients and rural providers in China. To fill this gap in the literature, the present study describes the communication skills of providers at primary healthcare facilities in rural China and investigates the provider- and facility-level factors underlying these communication skills.
 
Methods: The standardised patients successfully completed 504 interactions across two tiers of China’s rural health system and engaged with providers at village clinics and township health centres. We assessed providers’ communication skills based on recorded interactions between the providers and the standardised patients using the SEGUE Framework, which contains the following five dimensions: ‘Set the stage’, ‘Elicit information’, ‘Give information’, ‘Understand the patient’s perspective’, and ‘End the encounter’.
 
Results: The providers’ overall average score was 50.6% on the SEGUE communication tasks. They did well in ‘Set the stage’ (54.4%) and ‘Elicit information’ (56.2%) but performed poorly in ‘End the encounter’ (24.5%) and ‘Understand the patient’s perspective’ (44.0%). Female and younger providers scored 0.75 (P<0.05) and 0.04 (P<0.01) points higher than their male and older counterparts on total SEGUE score, respectively.
 
Conclusion: Providers in rural China had relatively poor communication skills overall, especially in terms of their demonstration of care for patients and inviting them to participate in the interaction. Gender and age were significantly associated with providers’ level of communication skills in rural China.
 
 
New knowledge added by this study
  • Rural providers in China scored 50.6% on the SEGUE Framework, revealing relatively poor communication skills.
  • No correlations were found between education level and communication skills in rural China.
  • The ability of providers in townships to establish a relationship with patients was worse than that of providers in villages.
Implications for clinical practice or policy
  • Policy officials and medical educators must focus on systemically reforming medical school curricula and integrating evidence-based communication skills training rather than simply encouraging further education using an outdated curriculum.
  • Appropriate incentives should be provided to encourage rural providers and improve their job satisfaction.
  • It is necessary to enhance the ability of providers in townships to communicate with strangers.
 
 
Introduction
A wealth of literature has demonstrated the importance of providers’ communication skills to the delivery of high-quality healthcare.1 2 Although definitions of effective provider-patient communication vary, some common attributes are as follows: establish a provider-patient relationship, elicit and understand patient perspectives, convey empathy and affirmation, and reach shared decisions regarding treatment and goals.2 3 Effective provider-patient communication has been shown to improve diagnoses, treatment plans, health outcomes, patient satisfaction, and treatment compliance1 2 4; in contrast, deficiencies in provider-patient communication are associated with patient anger, frustration,5 and malpractice litigation.6
 
Measuring and improving providers’ communication skills are especially critical in rural China’s primary healthcare facilities. As rural residents’ first points of contact, village clinics and township healthcare centres provide services for a large proportion of the population in those areas (40.42%)7 8; however, their quality of service remains low.9 10 For example, Shi et al9 found that rural clinicians were incorrect in 41% of their diagnoses and gave prescriptions that were unnecessary or harmful 64% of the time.
 
Existing research has reached the consensus that quality medical care is heavily dependent on providers’ communication skills,1 2 4 but some prominent limitations also exist. First, to our knowledge, no studies have measured provider-patient communication skills in rural primary healthcare facilities in China. Instead, existing research has focused on medical students and related education11 12 or examined providers in upper-tier hospitals.13 14 15 Second, studies have primarily relied on recall-based assessments, such as patient exit interviews or surveys, which may be biased or inaccurate.12 14 Finally, students and clinicians in those studies are notified in advance that they are being evaluated, which may lead them to deviate from their actual clinical behaviours because they know they are being observed (also known as the ‘Hawthorne Effect’).12 13 14
 
Given the above, it is critically important to understand how rural providers communicate with their patients. The primary goal of this study was to systematically describe and analyse the communication skills of primary care providers in China’s rural healthcare system and to identify the provider- and facility-level factors of providers’ interactions with standardised patients (SPs).
 
Methods
Setting and study design
Stratified random sampling was employed as the sampling method. The study sample was drawn from rural areas in three provinces: Anhui, Eastern China; Sichuan, Central China; and Shaanxi, Western China. Specifically, 21 counties were randomly selected from a total of 24 counties in the sample provinces. Within the selected counties, 209 township health centres and 139 village clinics were randomly selected as the study sample (441 providers in total).
 
Two separate waves of data collection were conducted among the village- and township-level providers: an initial provider survey conducted in June 2015 and visits by SPs in August 2015. The provider survey included items about basic demographic characteristics, educational attainment, medical experience, medical instruments, and the facility in which they worked. In August 2015, SPs visited all sampled township health centres and village clinics with concealed devices to record their encounters. The recordings were then transcripted with the consultation of the SPs.
 
Standardised patients
A total of 63 individuals (42 male and 21 female; mean age 36 years; range, 25-50 years) were hired and trained as SPs in three provinces (21 from each province). To be qualified as SPs, they had to be of average weight and height and in good overall health with no obvious signs of illness or other conditions that might influence the accuracy of diagnoses. The SPs were divided into 21 groups of three. In each group, each SP was taught to report a case of either pulmonary tuberculosis, childhood viral gastroenteritis, or unstable angina. In each location, the group of three SPs visited the township health centre in a randomly arranged order. Only one SP was sent to village clinics to minimise the risk that SPs were identified as fake patients. The case reported by SPs visiting a village clinic was randomly determined beforehand. Upon presenting to the provider, the SPs made an opening statement describing the primary symptom(s) of their disease case (fever and cough for pulmonary tuberculosis, diarrhoea for viral gastroenteritis, or chest pain for angina). For the viral gastroenteritis cases, the SPs presented the case of a child who was not present. The SPs responded to all questions asked by the providers following a predetermined script, purchased all medications prescribed (which are sold by providers in China), and paid the providers their fees. After each visit, the SPs were debriefed using a structured questionnaire, and the SPs’ responses were confirmed against a recording of the interaction taken using a concealed recording device.
 
Measuring communication skills
Over the past 10 years, China has used various methods and tools to measure the communication level of Chinese providers; although progress has been made, rigorously validated and widely accepted measurement tools are still lacking. Meanwhile, studies in other countries have used a variety of verified scales owing to their large amount of research on this topic over the last 30 years. The SEGUE Framework is one of the most common tools used to assess providers’ communication skills. In previous studies, the scale has demonstrated acceptable psychometric characteristics (inter-rater reliability, validity, and sensitivity to differences in performance) in varied contexts.11 14 15 16
 
First developed by Makoul,17 the SEGUE Framework employs a nominal (Yes/No) scale to allow coders to assess medical communication skills using a task-based checklist. The SEGUE checklist contains 25 items, which are classified into the five aforementioned dimensions as follows: (1) ‘Set the stage’ [5 items]; (2) ‘Elicit information’ [10 items]; (3) ‘Give information’ [4 items]; (4) ‘Understand the patient’s perspective’ [4 items]; and (5) ‘End the encounter’ [2 items]. Each of the 25 items comprising the SEGUE Framework can also be coded into one of two categories: communication content (17 items) or communication process (8 items). Communication content tasks include topics raised or behaviours enacted at least once during the encounter (eg, Discuss antecedent treatments). Conversely, communication process items focus on the manner in which providers communicate, assessing aspects such as behaviours that should be maintained throughout the encounter (eg, Maintain a respectful tone).17 We used a Chinese version of the SEGUE, which was translated to test the communication skills of Chinese medical students.11
 
Eight research assistants were recruited from the local community and trained to code the providers’ communication skills. Following a highly structured protocol, we conducted a series of training sessions to ensure that the coders could understand and accurately use the SEGUE Framework to score various possible behaviours and interactions. The coders then followed the transcripts while listening to the recordings and identified the targeted behaviours contained in the SEGUE Framework whenever they occurred. Coders were blinded to the provider-, facility-, and regional-level characteristics of each encounter. The overall score for all of the different communication dimensions was computed by adding the total scores for each dimension per encounter. The Cronbach’s α internal consistency reliability estimate of SEGUE Framework is 0.63. This moderate reliability result suggests that the SEGUE Framework is an acceptable measurement tool.
 
Statistical analysis
We calculated the mean, standard deviation, and scoring rate (the rate at which providers achieved the SEGUE checklist items) across all SP interactions for each of our primary outcomes: the five dimensions, Communication content, Communication process, and the total score across all five SEGUE dimensions. Ordinary least squares regressions were conducted to assess the correlates of the different dimensions of communication skills. For each of the primary outcomes mentioned above, we assessed the correlations with a fixed set of provider-level and facility-level characteristics. These included the provider’s gender, age, education, certification, number of patients in catchment area, number of full-time physicians employed at the facility, distance between the county hospital and the facility, and the monetary value of the facility’s medical instruments. All regressions controlled for the fixed effects of the disease cases, the SPs, and the coders. Analyses were conducted using Stata 14.2 (Stata Corporation; College Station, [TX], United States).
 
Results
Provider and facility characteristics
A total of 413 providers and 504 SP encounters were included in our analysis (Table 1). The providers’ mean age was 45.40 years, and 87.4% of them were male. A total of 47.9% of the providers had achieved a minimum education level of college diploma, and 43.6% had a practising physician certificate, which is the highest level of medical certification that can be obtained by physicians in rural China. Township health centres had a more developed and extensive medical infrastructure than village clinics had (P<0.01): the average value of the medical equipment in township health centres was much higher than that in village clinics (RMB 711 000 vs RMB 9000; Table 1).
 

Table 1. Characteristics of providers and facilities
 
Communication skills scores
Table 2 shows the descriptive statistics for the total SEGUE score and each of the five SEGUE dimensions. On average, providers scored 50.6% (12.15 of 24) on all SEGUE communication tasks (range, 16.7%-79.2%; 4-19 of 24), indicating that providers in rural China had relatively poor communication skills. Moreover, the providers scored means of 36.1% (5.77 of 16) and 79.9% (6.39 of 8) on Communication content and Communication process, respectively. Among the five SEGUE dimensions, the providers had difficulty with ‘End the encounter’ and ‘Understand the patient’s perspective’, scoring means of 24.5% (0.49 of 2) and 44.0% (1.32 of 3), but attained relatively high mean scores of 54.4% (2.72 of 5) and 56.2% (5.62 of 10) in ‘Set the stage’ and ‘Elicit information’, respectively.
 

Table 2. Communication skills scores at each assessment point (n=504)
 
Further summary statistics of provider communication skills are presented by gender, age, education, and facility type in Table 3. The total score achieved by female providers was slightly but significantly higher than that of male providers (12.98 vs 12.03, P<0.05), which was also the case for Communication content (6.52 vs 5.66, P<0.01), ‘Elicit information’ (5.94 vs 5.57, P<0.1), ‘Understand the patient’s perspective’ (1.47 vs 1.30, P<0.1), and ‘End the encounter’ (0.64 vs 0.47, P<0.05). We found statistically significant differences when the individual SEGUE dimensions were examined among subgroups. For instance, providers aged <45 years, who had a college education, and who were based in township health centres performed better in ‘Give information’ and ‘End the encounter’. However, their counterparts scored higher in ‘Set the stage’.
 

Table 3. Communication skills scores by gender, age, education, and facility level
 
Predictors of providers’ communication skills
Table 4 shows the results of multiple linear regressions between the different dimensions of communication skills and provider and facility characteristics. The provider’s gender was the factor that had the strongest correlation with communication skills. Female providers scored 0.75 points higher in their total communication score (P<0.05) and 0.71 points higher in the aspect of Communication content (P<0.05) than their male counterparts. Among the five different dimensions of interaction that were examined, female providers mainly excelled in their ability to ‘Elicit information’, scoring about 0.42 points higher than male providers did (P<0.05). In addition to provider gender, provider age was also significantly correlated with communication skills. Younger providers scored 0.04 points higher than their older counterparts on total SEGUE score (P<0.01). Younger providers were more likely to score higher in three of the five SEGUE dimensions: ‘Elicit information’, ‘Give information’, and ‘End the encounter’. The results of the regressions without correction for fixed effects are shown in the online supplementary Appendix.
 

Table 4. Facility and provider characteristics and associations with communication skills scores (n=504)
 
Discussion
The results revealed that rural providers in China had relatively poor communication skills overall, especially in terms of understanding patients, caring for them, and inviting patients to participate in the interaction. Female and younger providers had significantly higher overall communication scores, even after controlling for fixed effects of SPs, disease cases, and coders.
 
We found that rural providers in China had relatively poor communication skills overall. They performed poorly at most tasks involving patient engagement during the encounter, such as inviting them to discuss their questions and concerns. In these cases, patients generally adopt a more passive role, which could lead to inaccuracies and inefficiencies when providers do not elicit all information necessary to develop an effective diagnosis and treatment plan.18 Moreover, while rural providers generally maintained a respectful tone throughout their patient encounters, they seldom actively expressed understanding, care, or concern.
 
Two possible explanations may account for the rural providers’ poor communication skills. First, in the past, medical students (ranging from those in-service to those engaged in continuing education) rarely received instruction in provider-patient communication.19 20 21 According to a 2015 survey of 81 independent medical colleges, the proportion of medical students who took provider-patient communication courses was 61%, and the percentage required to take compulsory communication courses was only 27%.20 Thus, most currently practising occupational health technicians have not received systematic education in provider-patient communication at an academic level.22 Training for rural providers is more concerned with clinical skills and medication knowledge and does not generally involve provider-patient communication.23 This gap has caused rural clinicians to have an insufficient understanding of the importance of communication, and their interpersonal abilities tend to be relatively weak. Indeed, our data revealed no correlation between education level and communication skills, suggesting that further education does not improve the providers’ methods of interacting with their patients (Tables 3 and 4). Second, rural providers have heavy workloads but low incomes compared with urban providers.24 25 Thus, they sometimes lack enthusiasm for their work, are unwilling to give patients humane care, and lack the motivation to improve their communication skills.26 27 According to survey data from providers in Chinese township hospitals, income and provider-patient relationship quality have positive impacts on rural providers’ job satisfaction, and the provider-patient relationship has strong endogeneity.28
 
Compared with the providers in townships, the providers at village clinics were more likely to make personal connections with their patients and established a warmer and more accessible clinic environment during the encounters. This result is unsurprising, as township health centres serve a patient population that is 13 times that of village clinics (Table 1). Consequently, providers in villages are more likely to develop longitudinal relationships with their local patients and communities, enabling greater knowledge of villagers’ socioeconomic backgrounds and more personable communication.24 29
 
Our study also found that the providers’ gender was associated with their level of communication skills, especially in gathering information and reviewing the next steps with patients. These results are in line with a large body of literature that links female gender with greater provider engagement in patient concerns and asking more psychosocial questions.30 31 These behaviours may stimulate greater patient disclosure of aspects that are both psychosocial and biomedical in nature. Thus, although male and female providers did not differ in the amount of information they provided to their patients, the patients of female physicians collected more biomedical information than those of male providers.
 
Moreover, we found that younger providers performed well in the two dimensions that are directly related to diseases: eliciting or sharing information, and reviewing the next steps with patients. We conclude that greater experience may not necessarily help providers to develop better communication skills. One possible explanation is that low income, heavy workload, lack of appreciation, and restrictions on providers’ autonomy imposed by hospital guidelines may contribute to fading enthusiasm and burnout.32 33 Burnout may influence the quality of care, resulting in more suboptimal and less compassionate care.34 Older providers who have been in their roles for longer periods are more likely to experience emotional exhaustion.35 Therefore, although older providers have more experience communicating with patients, they do not necessarily communicate better. This is consistent with previous findings indicating that communication skill does not automatically develop over time or with experience.36 37
 
Our study has three main limitations. First, we evaluated providers’ communication skills using audio recordings from concealed devices rather than videos, which may have resulted in an underestimation of providers’ communication skills due to our sole reliance on verbal communication. Second, although unannounced SPs may capture actual provider behaviour more accurately, the SPs themselves may not have accurately mimicked actual patients, as they did not initially offer disease-related information unless the providers asked for it. However, any effects caused by the simulated environment did not impact the comparisons between different types of providers. We also increased the accuracy of our observation of the providers’ communication behaviour by excluding any influence of the patient’s communication ability on the provider. Finally, the physician-patient relationship in the Asian context has historically been described as more paternalistic than that in Western countries.38 Thus, the SEGUE scale, which was based on a Western model, may not be completely suitable for measuring Chinese providers’ communication skills. However, as increasing numbers of patients and providers are recognising the importance of ‘patient-centred’ communication,21 39 the SEGUE Framework is an effective tool for understanding the characteristics of rural providers’ communication skills in most regards.
 
Conclusion
The study revealed that providers in rural China have poor communication skills overall. These deficits in communication skills were especially pronounced when providers were required to ‘Understand the patient’s perspective’ and ‘End the encounter.’ They asked about basic symptoms but rarely took the initiative to invite patients to participate in the encounter or discuss their questions and concerns, and they also rarely showed care for the patients themselves. Moreover, we found that the providers from village clinics were more likely to make personal connections with their patients. Female and younger providers exhibited better communication skills, asked more follow-up questions, and explained future plans and steps more frequently than their male and older counterparts.
 
Author contributions
Concept or design: Q Zhou, J Yang, J Nie, H Xue.
Acquisition of data: Q Zhou, Q An, N Wang, J Li, Q Gao, H Xue.
Analysis or interpretation of data: Q Zhou, J Li, Y Gao, J Yang, J Nie, H Xue.
Drafting of the manuscript: Q Zhou, J Yang.
Critical revision of the manuscript for important intellectual content: All authors.
 
Conflicts of interest
All authors have disclosed no conflicts of interest.
 
Acknowledgement
The authors thank the standardised patients and coders for their hard work.
 
Funding/support
The authors are supported by the 111 Project (Grant No. B16031), Laboratory of Modern Teaching Technology of the Ministry of Education, Shaanxi Normal University, National Natural Science Foundation of China (Grant No. 71703083), the National Social Science Fund Youth Project (Grant No. 15CJL005), the National Natural Science Foundation of China (Grant No. 71703084), and the Knowledge for Change Program at The World Bank (Grant No. 7172469).
 
Ethics approval
Approval was obtained from the Institutional Review Boards of Stanford University, United States (Protocol no. 25904) and Sichuan University, China (Protocol no. K2015025).
 
References
1. Orth JE, Stiles WB, Scherwitz L, Hennrikus D, Vallbona C. Patient exposition and provider explanation in routine interviews and hypertensive patients’ blood pressure control. Health Psychol 1987;6:29-42. Crossref
2. Ward MM, Sundaramurthy S, Lotstein D, Bush TM, Neuwelt CM, Street RL Jr. Participatory patient-physician communication and morbidity in patients with systemic lupus erythematosus. Arthritis Rheum 2003;49:810-8. Crossref
3. Mafinejad MK, Rastegarpanah M, Moosavi F, Shirazi M. Training and validation of standardized patients for assessing communication and counseling skills of pharmacy students: a pilot study. J Res Pharm Pract 2017;6:83-8. Crossref
4. Henman MJ, Butow PN, Brown RF, Boyle F, Tattersall MH. Lay constructions of decision-making in cancer. Psychooncology 2002;11:295-306. Crossref
5. van Osch M, van Dulmen S, van Vliet L, Bensing J. Specifying the effects of physician’s communication on patients’ outcomes: a randomised controlled trial. Patient Educ Couns 2017;100:1482-9. Crossref
6. Levinson W, Roter DL, Mullooly JP, Dull VT, Frankel RM. Physician-patient communication. The relationship with malpractice claims among primary care physicians and surgeons. JAMA 1997;277:553-9. Crossref
7. Babiarz KS, Miller G, Yi H, Zhang L, Rozelle S. China’s new cooperative medical scheme improved finances of township health centers but not the number of patients served. Health Aff (Millwood) 2012;31:1065-74. Crossref
8. National Bureau of Statistics, PRC Government. National Bureau of Statistics. 2018. Available from: http://www. stats.gov.cn/. Accessed 7 Jun 2019.
9. Shi Y, Xue H, Wang H, Sylvia S, Medina A, Rozelle S. Measuring the quality of doctors’ health care in rural China: an empirical research using standardized patients [in Chinese]. Studies in Labor Econ 2016;4:48-71.
10. Xue H, Shi Y, Huang L, et al. Diagnostic ability and inappropriate antibiotic prescriptions: a quasi-experimental study of primary care providers in rural China. J Antimicrob Chemother 2019;74:256-63. Crossref
11. Li J. Using the SEGUE Framework to assess Chinese medical students’ communication skills in history-taking [in Chinese]. Dissertation. China Medical University. 2008. Available from: https://kns.cnki.net/KCMS/detail/ detail.aspx?dbcode=CMFD&dbname=CMFD2008&filena me=2008082494.nh. Accessed 7 Jun 2019.
12. Li H, Li D, Wang J, et al. Assessment on doctor-patient communication skills of medical students with SEGUE framework scale [in Chinese]. Hospital Manage Forum 2016;33:29-30.
13. Xu T, Dong E, Liu W, Liang Y, Bao Y. Reliability and validity of the Chinese version of the Liverpool Communication Skills Assessment Scale [in Chinese]. Chin Mental Health J 2013;27:829-33. Crossref
14. Shen L, Sun G. Assessment pf physician-patient communication skills in practicing physicians by SEGUE framework [in Chinese]. Chin Gen Pract 2017;20:1998- 2002.
15. Zhao T, Zou X, Zhou H, Ma H. General practitioner-patient communications in outpatient clinic settings in Beijing [in Chinese]. Chin Gen Pract 2019;22:413-6.
16. Makoul G. The SEGUE Framework for teaching and assessing communication skills. Patient Educ Couns 2001;45:23-34. Crossref
17. Makoul G. Essential elements of communication in medical encounters: the Kalamazoo consensus statement. Acad Med 2001;76:390-3. Crossref
18. Beckman HB, Frankel RM. The effect of physician behavior on the collection of data. Ann Intern Med 1984;101:692-6. Crossref
19. Li S, Liu Y. The achievements, problems and experiences of the health services development in China’s 30-year reform and opening-up [in Chinese]. Chin J Health Policy 2008;1:3-8.
20. Liu H, Shen C. Investigation report on educational organization status of humanistic medicine in independent medical universities [in Chinese]. Med Philos (A) 2015;36:13-8, 50.
21. Liu X, Rohrer W, Luo A, Fang Z, He T, Xie W. Doctorpatient communication skills training in mainland China: a systematic review of the literature. Patient Educ Couns 2015;98:3-14. Crossref
22. Guo L, Wang H, Zeng Q, et al. Exploration and practice of the ways of cultivating communication and communication ability of rural doctors [in Chinese]. Chin Rural Health Serv Adm 2011;31:1017-8.
23. Song J, Yin W, Feng Z, et al. A study on-job-training status and demand of rural doctors in Shandong Province [in Chinese]. Chin Health Serv Manage 2017;34:378-80.
24. Hung LM, Shi L, Wang H, Nie X, Meng Q. Chinese primary care providers and motivating factors on performance. Fam Pract 2013;30:576-86. Crossref
25. Xue H, Shi Y, Medina A. Who are rural China’s village clinicians? Chin Agric Econ Rev 2016;8:662-76. Crossref
26. Campbell N, McAllister L, Eley D. The influence of motivation in recruitment and retention of rural and remote allied health professionals: a literature review. Rural Remote Health 2012;12:1900.
27. Sun K, Yin W, Huang D, Yu Q, Zhao Y, Li Y. The effect of income on occupation mentality of rural doctors under the situation of new medical reform. Chin Health Serv Manage 2016;33:371-3.
28. Dong X, Ariana P. Why are rural doctors not satisfied with their work? An empirical study on job income, doctorpatient relationship and job satisfaction. Manage World 2012;(11):77-88.
29. Haddad S, Fournier P, Machouf N, Yatara F. What does quality mean to lay people? Community perceptions of primary health care services in Guinea. Soc Sci Med 1998;47:381-94. Crossref
30. Roter DL, Hall JA. Physician gender and patient-centered communication: a critical review of empirical research. Annu Rev Public Health 2004;25:497-519. Crossref
31. Swygert KA, Cuddy MM, van Zanten M, Haist SA, Jobe AC. Gender differences in examinee performance on the Step 2 Clinical Skills data gathering (DG) and patient note (PN) components. Adv Health Sci Educ Theory Pract 2012;17:557-71. Crossref
32. Hojat M, Vergare MJ, Maxwell K, et al. The devil is in the third year: a longitudinal study of erosion of empathy in medical school. Acad Med 2009;84:1182-91. Crossref
33. Shanafelt TD, Gradishar WJ, Kosty M, et al. Burnout and career satisfaction among US oncologists. J Clin Oncol 2014;32:678-86. Crossref
34. Dyrbye LN, Massie FS Jr, Eacker A, et al. Relationship between burnout and professional conduct and attitudes among US medical students. JAMA 2010;304:1173-80. Crossref
35. Yin S, Zhao J, Chen R. Empathy fatigue of clinical doctors and its influencing factors. Chin Gen Pract 2016;19:206-9.
36. Kosunen E. Teaching a patient-centred approach and communication skills needs to be extended to clinical and postgraduate training: a challenge to general practice. Scandi J Prim Health Care 2008;26:1-2. Crossref
37. Skoglund K, Holmström IK, Sundler AJ, Hammar LM. Previous work experience and age do not affect final semester nursing student self-efficacy in communication skills. Nurse Educ Today 2018;68:182-7. Crossref
38. Ishikawa H, Takayama T, Yamazaki Y, Seki Y, Katsumata N, Aoki Y. The interaction between physician and patient communication behaviors in Japanese cancer consultations and the influence of personal and consultation characteristics. Patient Educ Couns 2002;46:277-85. Crossref
39. Ting X, Yong B, Yin L, Mi T. Patient perception and the barriers to practicing patient-centered communication: a survey and in-depth interview of Chinese patients and physicians. Patient Educ Couns 2016;99:364-9. Crossref

Blood transfusions in total knee arthroplasty: a retrospective analysis of a multimodal patient blood management programme

Hong Kong Med J 2020 Jun;26(3):201–7  |  Epub 6 May 2020
© Hong Kong Academy of Medicine. CC BY-NC-ND 4.0
 
ORIGINAL ARTICLE
Blood transfusions in total knee arthroplasty: a retrospective analysis of a multimodal patient blood management programme
PK Chan, FHKCOS, FHKAM (Orthopaedic Surgery)1; YY Hwang, FHKCP, FHKAM (Medicine)2; Amy Cheung, FHKCOS, FHKAM (Orthopaedic Surgery)1; CH Yan, FHKCOS, FHKAM (Orthopaedic Surgery)1; Henry Fu, FHKCOS, FHKAM (Orthopaedic Surgery)1; Timmy Chan, FHKCA, FHKAM (Anaesthesiology)3; WC Fung, BSc1; MH Cheung, FHKCOS, FHKAM (Orthopaedic Surgery)1; Vincent WK Chan, FHKCOS, FHKAM (Orthopaedic Surgery)1; KY Chiu, FHKCOS, FHKAM (Orthopaedic Surgery)1
1 Department of Orthopaedics and Traumatology, Queen Mary Hospital, The University of Hong Kong, Hong Kong
2 Department of Medicine, Queen Mary Hospital, Hong Kong
3 Department of Anaesthesiology, Queen Mary Hospital, Hong Kong
 
Corresponding author: Dr PK Chan (cpk464@yahoo.com.hk)
 
 Full paper in PDF
 
Abstract
Purpose: Transfusion is associated with increased perioperative morbidity and mortality in patients undergoing total knee arthroplasty (TKA). Patient blood management (PBM) is an evidence-based approach to maintain blood mass via haemoglobin maintenance, haemostasis optimisation, and blood loss minimisation. The aim of the present study was to assess the effectiveness of a multimodal PBM approach in our centre.
 
Methods: This was a single-centre retrospective study of patients who underwent primary TKA in Queen Mary Hospital in Hong Kong in 2013 or 2018, using data from the Clinical Data Analysis and Reporting System and a local joint registry database. Patient demographics, preoperative haemoglobin, length of stay, readmission, mean units of transfusion, postoperative prosthetic joint infection, and mortality data were compared between groups.
 
Results: In total, 262 and 215 patients underwent primary TKA in 2013 and 2018, respectively. The mean transfusion rate significantly decreased after PBM implementation (2013: 31.3%; 2018: 1.9%, P<0.001); length of stay after TKA also significantly decreased (2013: 14.49±8.10 days; 2018: 8.77±10.14 days, P<0.001). However, there were no statistically significant differences in readmission, early prosthetic joint infection, or 90-day mortality rates between the two groups.
 
Conclusion: Our PBM programme effectively reduced the allogeneic blood transfusion rate in patients undergoing TKA in our institution. Thus, PBM should be considered in current TKA protocols to reduce rates of transfusions and related complications.
 
 
New knowledge added by this study
  • Patient blood management effectively reduced the allogeneic blood transfusion rate in patients undergoing total knee arthroplasty in our institution; it also reduced the length of stay after total knee arthroplasty.
Implications for clinical practice or policy
  • Patient blood management should be considered in current total knee arthroplasty protocols to reduce rates of transfusions and related complications.
  • Patient blood management in total knee arthroplasty could reduce healthcare expenditures among the ageing population in Hong Kong.
 
 
Introduction
Total knee arthroplasty (TKA) is the most effective and efficacious surgical method to improve pain and function for patients with end-stage osteoarthritis; however, TKA has been associated with substantial blood loss. In addition to visible blood loss from the surgical field and wound drainage, hidden blood loss occurred in patients undergoing TKA, which resulted in mean blood loss of 1.5 L.1 Therefore, perioperative blood transfusion was needed in up to 38% of patients undergoing TKA.2
 
Blood transfusion is not risk-free. Often, no adverse effects are encountered by patients who undergo blood transfusion. However, adverse effects occasionally occur, ranging from minor allergic reactions to blood-borne infection and potentially fatal acute immune haemolytic reaction. With the implementation of best international practices to warrant blood transfusion safety by the Blood Transfusion Service in Hong Kong, the transfusion risk has significantly decreased in the past two decades.3 However, absolute safety in transfusion cannot be achieved because of the window period for detecting infections, possibility of emerging infections, and potential human errors related to the process of transferring collected blood from donors to transfusion recipients. Notably, researchers in Hong Kong reported the first two cases (worldwide) of transmission of Japanese encephalitis virus, via blood transfusion to immunocompromised hosts, in 2018.4 In addition to the general risks associated with transfusion, blood transfusion has been independently associated with poor surgical outcome. Specifically, patients who underwent transfusion exhibited an eight-fold to 10-fold excess risk of adverse outcomes, defined as postoperative complications in the American College of Surgeons National Surgical Quality Improvement Project.5 With respect to total hip or knee arthroplasty, a dose-dependent relationship between transfusion and risk of surgical site infection was observed.6
 
With increasing understanding regarding the benefits and risks of blood transfusion, as well as alternative approaches for patients who experience blood loss, the concept of patient blood management (PBM) was developed. The World Health Organization defines PBM as ‘a patient-focused, evidence-based and systematic approach to optimise the management of patients and transfusion of blood products for quality and effective patient care. It is designed to improve patient outcomes through the safe and rational use of blood and blood products and by minimising unnecessary exposure to blood products…’.7 The three major components of PBM are as follows: (1) optimisation of the patient’s own blood mass; (2) minimisation of blood loss; and (3) optimisation of physiological tolerance to anaemia.8 This new standard of care is now well-established in some centres in the US, Austria, and Western Australia, as well as nationally in the Netherlands. However, PBM remains an uncommon practice in Asia.
 
We introduced the PBM programme for patients undergoing TKA in our institution, beginning in 2014. Various components were introduced gradually (in phases) from 2014 to 2018. The key measures of PBM in preoperative, intra-operative, and postoperative periods were fully implemented in 2018. To the best of our knowledge, our PBM programme is a pioneer PBM programme in Hong Kong. The aim of the present study was to assess the effectiveness of the multimodal PBM approach in our university-based centre.
 
Methods
This single-centre retrospective study was approved by the Institutional Review Board of the University of Hong Kong/Hospital Authority Hong Kong West Cluster (Ref UW 19-600). The requirement for patient consent was waived by the review board. We retrospectively collected blood transfusion data regarding patients who underwent unilateral primary TKA in our centre from 1 January 2013 to 31 December 2018. Patients who underwent one-stage bilateral primary TKA or revision TKA were excluded from our study. Patients with acquired or congenital coagulopathy, as well as those currently taking anticoagulants, were included in our study; notably, these patients were at greater risk of perioperative blood loss and transfusion.
 
The primary outcome measure was the mean yearly transfusion rate, which was defined as the number of patients who received transfusion after TKA (during the same hospitalisation episode) divided by the number of patients who underwent TKA during the period from 1 January to 31 December; this result was multiplied by 100. The mean units of blood given per transfusion episode in 1 year was defined as the cumulative total number of blood units transfused to patients after TKA in 1 year divided by the number of transfusion episodes in that year. Transfusion data were retrieved from the Clinical Data Analysis and Reporting System, a database developed by the Hong Kong Hospital Authority for research purposes; this database contains medical information recorded by the Hong Kong Hospital Authority since 1993.
 
Secondary outcome measures were mean length of hospital stay after surgery, the rate of unexpected readmission through the Emergency Department after discharge from the hospital, the proportion of patients who had early prosthetic joint infection requiring revision surgery within 90 days after index surgery, and the 90-day mortality rate. These data and other patient demographic data (eg, age and sex), perioperative data (eg, American Society of Anesthesiologists [ASA] physical status), and preoperative haemoglobin level were retrieved from our patient records, as well as a local joint replacement registry.
 
Patient blood management was a relatively new concept in Hong Kong when it was first implemented in our institution in 2014. Initially, this programme was a standalone surgeon-initiated programme without external support; it was implemented in sequential stages based on PBM guidelines provided by the National Blood Authority in Australia.9 The sequential stages of PBM implementation in our centre are described in Table 1. The PBM strategies included modern surgical, anaesthetic, and perioperative care. In 2014, PBM was initiated with instructions regarding proper indications for transfusion, single-unit transfusion policy,10 and restrictive transfusion policy with transfusion triggered at haemoglobin ≤8 g/dL in healthy individuals.11 In 2015, the traditional practice of routine placement of a surgical drain during TKA (associated with a higher transfusion rate12) was stopped; the use of topical tranexamic acid (injection of 1 g tranexamic acid into knee joint at the end of the surgical procedure, shown to reduce postoperative blood loss and transfusion rate13) was implemented to reduce perioperative blood loss. In 2016, preoperative anaemia screening and optimisation were initiated via collaboration with haematologists. Patients with preoperative haemoglobin <11 g/dL were examined for causes of anaemia, in accordance with Network for Advancement of Transfusion Alternatives guidelines14; their erythropoiesis and preoperative haemoglobin characteristics were optimised before TKA was performed. For example, patients with iron-deficiency anaemia were checked for gastrointestinal blood loss and prescribed iron supplementation; their haemoglobin levels were rechecked after supplementation to confirm achievement of ≥11 g/dL before TKA. To further reduce intra-operative blood loss, combined intravenous tranexamic acid (15 mg/kg administered intravenously at the induction of anaesthesia) and topical tranexamic acid were implemented; these are reportedly effective for reduction of blood loss.15 In 2017, a more stringent restrictive transfusion policy was adopted with transfusion triggered at haemoglobin ≤7 g/dL in healthy individuals. Moreover, active warming (a modern anaesthetic technique used during intra-operative care) was implemented to avoid intra-operative hypothermia16; this hypothermia has been associated with greater volume of blood loss and the need for transfusion.17 18 By the beginning of 2018, all above PBM strategies were fully implemented.
 

Table 1. Summary of the gradual introduction of key components of patient blood management from 2014 to 2018
 
In addition to PBM strategies, other changes in patient selection and perioperative management were implemented between 2013 and 2018. First, the degree of medical co-morbidities may have differed because of the establishment of another joint replacement centre in July 2016; this new centre provided joint replacement surgeries for patients with improved medical fitness, among patients with end-stage osteoarthritis in our hospital. Therefore, the medical co-morbidities of the patients in 2013 and 2018 were compared on the basis of ASA status. Second, because of technological advances in the design of TKA prostheses over time, there were differences in the numbers of modern-design TKA prostheses between 2013 and 2018; these modern-design TKA prostheses aimed to improve knee kinematics, rather than reduce transfusion rate. However, these prostheses were unlikely to bias our transfusion rate results, according to a prior assessment of factors predictive of transfusion rate in patients undergoing TKA.19
 
In 2013, no PBM strategies had been implemented in our institution, whereas all strategies had been fully implemented by 2018. The Chi squared test was used to compare the transfusion rate between patients who underwent TKA in 2013 and those who underwent TKA in 2018; differences with P<0.05 were considered statistically significant. As mentioned above, medical co-morbidities of the patients in 2013 and 2018 were compared on the basis of ASA status.
 
Results
In total, 262 and 215 patients underwent primary TKA in our centre in 2013 and 2018, respectively (Table 2). There were no significant differences in mean age (2013: 72.17±9.76 years; 2018: 72.49±9.27 years, P=0.71) or sex (male:female) ratio (2013, 61:201; 2018, 63:152, P=0.14) between the groups. The preoperative haemoglobin level was also similar between the groups (2013: 12.77±1.42 g/dL; 2018: 12.89±1.42 g/dL, P=0.35). However, there was a significant difference in ASA distribution between the groups (P=0.03). There was a comparatively greater proportion of patients with ASA Grade II status in 2018 (2013: 57.6%; 2018: 68.8%).
 

Table 2. Preoperative and postoperative parameters of patients who underwent primary TKA in Queen Mary Hospital (Hong Kong) in 2013 and 2018
 
The primary outcome was the mean transfusion rate in 1 year. There was a significant difference in the mean transfusion rate after primary TKA between 2013 and 2018 (2013: 31.3%; 2018: 1.9%, P<0.001); however, there was no significant difference in the mean units of blood transfused per transfusion episode (2013: 1.62±0.78; 2018: 1.00±0.00, P=0.12). Moreover, the mean annual transfusion rate after primary TKA exhibited stepwise reduction as PBM strategies were implemented during the period from 2014 to 2018 (Fig).
 
Regarding secondary outcomes, the mean length of hospitalisation was significantly lower in 2018 (2013: 14.49±8.10 days; 2018: 8.77±10.14 days, P<0.001). However, there was no difference in the unexpected readmission rate through the Emergency Department (2013: 3.8%; 2018: 3.7%, P=0.96), the proportion of patients who exhibited early prosthetic joint infection within 90 days after index surgery (2013: 0.4%; 2018: 0%, P=0.36), or the proportion of patients with 90-day mortality (2013: 0%; 2018: 0.5%, P=0.27).
 
Discussion
Blood transfusion is a life-saving therapy, but is a limited resource. In recent years, there have been recurrent blood shortages in Hong Kong, and the Hong Kong Red Cross has issued an urgent appeal for blood donors on several occasions.20 21 22 23 The amount of blood stored in blood banks is determined by supply and demand. To increase blood supply, additional blood donors are needed. The Annual Report of Hong Kong Red Cross in 2018/2019 revealed that 4% of blood donors were aged >60 years, and the largest group of blood donors were aged 41-50 years (23.7% of donors).24 With the increasing number of older people in Hong Kong, more blood donors are needed from older age-groups. In addition, healthcare professionals should be judicious in prescribing transfusion, and should consider methods to minimise transfusion. Our study demonstrated the effectiveness of implementing PBM in our centre. In addition to comparing the mean transfusion rate in 2013 and 2018, this study included an audit of the mean annual transfusion rate after primary TKA from 2014 to 2018 (Fig).
 

Figure. Mean annual transfusion rate among patients who underwent primary total knee arthroplasty in Queen Mary Hospital (Hong Kong)
 
Globally, PBM is not a new concept. In May 2010, the World Health Organization formally recognised the importance of PBM and recommended its use to the 193 member states.25 Subsequently, PBM has been successfully implemented in Western countries, especially Australia26 and the US.27 The Asia-Pacific PBM Expert Consensus Meeting Working Group assessed the status of PBM in Asia.28 In Singapore, PBM was implemented nationally, beginning in 2013. The Ministry of Health and Blood Services Group actively promoted PBM at public hospitals in the first few years; regular national audits of PBM-related efforts have been performed since 2017 to promote appropriate use of red blood cell transfusion and implementation of preoperative anaemia screening for elective surgeries. Patient blood management programmes were successfully implemented in National University Hospital and Singapore General Hospital.28 29 In Korea, PBM was implemented through a professional initiative by the Korean Research Society of Transfusion Alternatives of the Republic of Korea in 2006; the Korean Patient Blood Management Research Group was formed to promote greater PBM use in 2016. The efforts of the Korean Patient Blood Management Research Group resulted in achievement of several PBM milestones in 2016.28 Notably, PBM was included in the Korean Transfusion Guidelines; a new steering committee was also formed, comprising leading physicians from various specialties. Patient blood management was successfully implemented in a number of Korean hospitals, which led to a reduction in transfusion rate.30 31 32 In Malaysia, PBM has been promoted at the local hospital level.28 In the Department of Maternal and Fetal Medicine at the Sultan Haji Ahmad Shah Hospital, women at high risk of anaemia are screened for iron deficiency anaemia in early pregnancy; iron-deficient women are provided oral or intravenous iron supplementation.
 
At our institution, PBM was first implemented in 2014 as a surgeons’ initiative in the Division of Joint Replacement Surgery. In addition to good surgical techniques, good perioperative care is an important determinant of surgical outcomes. Patient blood management is a component of our overall perioperative management protocol in the modern enhanced recovery after surgery programme. With implementation of PBM strategies and measures in the enhanced recovery after surgery programme, the length of hospitalisation was shortened in 2018, compared with 2013. Despite the shorter length of stay, there were no differences in the unexpected readmission rate through the Emergency Department, the proportion of patients who had early prosthetic joint infection within 90 days after index surgery, or the proportion of patients who had 90-day mortality.
 
To the best of our knowledge, there have been few studies regarding PBM in patients undergoing TKA in Hong Kong. In 2015, Lee et al33 reported their pioneering experience with implementation of PBM in patients undergoing TKA; their PBM protocols included typing and screening only for patients with preoperative haemoglobin of <11 g/dL, and restrictive transfusion triggered at haemoglobin 8 g/dL. When they compared outcomes before and after introduction of the PBM programme, the transfusion rate (before: 10.3%; after: 3.1%, P=0.046) and cross-match rate (before: 100%; after: 3.1%, P<0.001) both decreased. We implemented PBM in our institution, beginning in 2014. Modern surgical, anaesthetic, and perioperative techniques in PBM were gradually introduced from 2014 to 2018. Our PBM protocols are more comprehensive than those of Lee et al, because our protocols were designed in accordance with the PBM guidelines provided by the National Blood Authority in Australia.9 Therefore, our transfusion rate in TKA in 2018 decreased to 1.9%.
 
Prosthetic joint infection is a severe complication in arthroplasty; affected patients often require revision surgery. Notably, patients who underwent treatment for prosthetic joint infection exhibited a significant, independent risk of increased mortality, due to the direct adverse effect of infection and the indirect effect of poor underlying health condition.34 In a recent meta-analysis involving 21 770 patients who underwent total hip and knee arthroplasty, patients who received allogeneic blood transfusion had a significantly greater risk of surgical-site infection (pooled odds ratio: 1.71, P=0.02).35 Recently, a dose-dependent relationship was observed between allogeneic transfusion and surgical site infection after total hip or knee arthroplasty.6 Therefore, PBM was expected to reduce the incidence of surgical site infection in our centre. However, because of the relatively small sample size in our study and the relatively low incidence of prosthetic joint infection (approximately 1%), a difference in the incidence of prosthetic joint infection between 2013 and 2018 could not be identified. When PBM was fully implemented in our centre (2018), the transfusion rate after primary TKA was 1.9%; this was comparable to international reported values. Specifically, when PBM strategies were implemented in the US, the transfusion rates were approximately 4.5%.36 When PBM is implemented by high-volume surgeons with an eight-step checklist to reduce bleeding, the transfusion rate after TKA could be as low as 0.0044%.37 Therefore, a transfusion rate of 0% is achievable.
 
As the transfusion rate decreased in patients undergoing TKA, there were also benefits to the healthcare system. Blood transfusion involves many costs associated with blood transfer from donors to recipients (eg, collection, screening, storage, transportation, and prescription of donated blood). We do not have data regarding the cost of packed red blood cells in Hong Kong; however, the cost was estimated to be approximately 1130 USD/unit in a study conducted in the US.36 Therefore, reduced transfusions through implementation of PBM can result in lower healthcare expenditures, which are of considerable importance because of the increasing demand for TKA among the aging population in Hong Kong.
 
There were some limitations in this study. First, it was a retrospective study; thus, compliance with PBM strategies could not be fully verified. However, as each strategy was introduced throughout the course of the study, there was gradual reduction in the transfusion rate. Therefore, compliance with the strategies was presumably optimal. Second, because different strategies were implemented successively, the strategies with the greatest contribution to the reduced transfusion rate could not be identified. Third, because this was not a prospective randomised placebo-controlled interventional trial, a causal relationship between PBM strategies and reduction in transfusion rate could not be established. However, our study provided an assessment of real-world implementation of PBM strategies within a large hospital; thus, it comprises pioneering research in Hong Kong. Fourth, some potential cofounding factors may not have been identified or controlled in the present analysis. For example, the type of prosthesis used was not analysed as a separate factor. However, preoperative haemoglobin levels (the most significant predictor of blood transfusion19) were compared between both groups. To the best of our knowledge, there remains minimal relevant literature regarding the effect of TKA prosthesis on the transfusion rate.
 
In conclusion, our results demonstrated the effectiveness of PBM implementation on transfusion rate in patients undergoing TKA. From 2014 to 2018, there was a stepwise reduction in transfusion rate after TKA; this was similar to findings in previously published research. This is one of the few studies in Hong Kong to review PBM in surgical practice. Although we focused on patients undergoing TKA, the principles of PBM could be useful for other medical or surgical specialties.
 
Author contributions
All authors contributed to the concept or design of the study, acquisition of data, analysis or interpretation of data, drafting of the manuscript, and critical revision of the manuscript for important intellectual content.
 
All authors had full access to the data, contributed to the study, approved the final version for publication, and take responsibility for its accuracy and integrity.
 
Conflicts of interest
All authors have disclosed no conflicts of interest.
 
Acknowledgements
We thank Dr CK Lee, Chief Executive and Medical Director, Hong Kong Red Cross Blood Transfusion Service, Hong Kong, for providing advice on the patient blood management programme. We also acknowledge and express our gratitude to the following departments of our hospital for the support in this multidisciplinary project: Nursing Division, Department of Orthopaedics and Traumatology; Operation Theatre Services; and Blood Transfusion Committee.
 
Declaration
This research has been presented in part as an oral presentation at the Hong Kong Hospital Authority Convention 2018.
 
Funding/support
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
 
Ethics approval
This study was approved by the Institutional Review Board of the University of Hong Kong/Hospital Authority Hong Kong West Cluster (Ref UW 19-600). The requirement for patient consent was waived by the review board.
 
References
1. Sehat KR, Evans R, Newman JH. How much blood is really lost in total knee arthroplasty? Correct blood loss management should take hidden loss into account. Knee 2000;7:151-5. Crossref
2. Cushner FD, Friedman RJ. Blood loss in total knee arthroplasty. Clin Orthop Relat Res 1991;(269):98-101. Crossref
3. Lee CK. Risk minimization in transfusion transmitted infection in Hong Kong [thesis]. University of Hong Kong; 2017.
4. Cheng VC, Sridhar S, Wong SC, et al. Japanese encephalitis virus transmitted via blood transfusion, Hong Kong, China. Emerg Infect Dis 2018;24:49-57. Crossref
5. Ferraris VA, Hochstetler M, Martin JT, Mahan A, Saha SP. Blood transfusion and adverse surgical outcomes: the good and the bad. Surgery 2015;158:608-17. Crossref
6. Everhart JS, Sojka JH, Mayerson JL, Glassman AH, Scharschmidt TJ. Perioperative allogeneic red blood-cell transfusion associated with surgical site infection after total hip and knee arthroplasty. J Bone Joint Surg Am 2018;100:288-94. Crossref
7. World Health Organization. WHO Global Forum for Blood Safety: patient blood management. Available from: https://www.who.int/bloodsafety/events/gfbs_01_pbm/en/ Accessed 5 Jan 2020.
8. Isbister JP. The three-pillar matrix of patient blood management-an overview. Best Pract Res Clin Anaesthesiol 2013;27:69-84. Crossref
9. National Blood Authority Australia. Patient Blood Management Guidelines. Available from: https://www.blood.gov.au/pbm-guidelines. Accessed 9 Jan 2020.
10. National Blood Authority Australia. Single Unit Transfusion Guide. Available from: https://www.blood.gov.au/single-unit-transfusion. Accessed 9 Jan 2020.
11. Hardy JF. Current status of transfusion triggers for red blood cell concentrates. Transfus Apher Sci 2004;31:55-66. Crossref
12. Zhang Q, Liu L, Sun W, et al. Are closed suction drains necessary for primary total knee arthroplasty? A systematic review and meta-analysis. Medicine (Baltimore) 2018;97:e11290. Crossref
13. Panteli M, Papakostidis C, Dahabreh Z, Giannoudis PV. Topical tranexamic acid in total knee replacement: a systematic review and meta-analysis. Knee 2013;20:300-9. Crossref
14. Goodnough LT, Maniatis A, Earnshaw P, et al. Detection, evaluation, and management of preoperative anaemia in the elective orthopaedic surgical patient: NATA guidelines. Br J Anaesth 2011;106:13-22. Crossref
15. Shang J, Wang H, Zheng B, Rui M, Wang Y. Combined intravenous and topical tranexamic acid versus intravenous use alone in primary total knee and hip arthroplasty: A meta-analysis of randomized controlled trials. Int J Surg 2016;36:324-9. Crossref
16. Benson EE, McMillan DE, Ong B. The effects of active warming on patient temperature and pain after total knee arthroplasty. Am J Nurs 2012;112:26-33. Crossref
17. Rajagopalan S, Mascha E, Na J, Sessler DI. The effects of mild perioperative hypothermia on blood loss and transfusion requirement. Anesthesiology 2008;108:71-7. Crossref
18. Schmied H, Kurz A, Sessler DI, Kozek S, Reiter A. Mild hypothermia increases blood loss and transfusion requirements during total hip arthroplasty. Lancet 1996;347:289-92. Crossref
19. Boutsiadis A, Reynolds RJ, Saffarini M, Panisset JC. Factors that influence blood loss and need for transfusion following total knee arthroplasty. Ann Transl Med 2017;5:418. Crossref
20. Ernest K. Hong Kong Red Cross issues urgent appeal for blood donors as supplies dwindle. South China Morning Post [newspaper on the internet]. 2017 May 4: Health & Environment. Available from: https://www.scmp.com/news/hong-kong/health-environment/article/2092982/hong-kong-red-cross-issues-urgent-appeal-blood. Accessed 10 Mar 2020.
21. City urged to donate blood amid severe shortage. The Standard [newspaper on the internet]. 2017 Aug 11: Local. Available from: https://www.thestandard.com.hk/breaking-news/section/3/94995/City-urged-to-donate-blood-amid-severe-shortage. Accessed 10 Mar 2020.
22. The Government of the Hong Kong Special Administrative Region. Urgent appeal for blood donation [press release]. 2018 Jan 9. Available from: https://www.info.gov.hk/gia/general/201801/09/P2018010900651.htm. Accessed 10 Mar 2020.
23. Coronavirus fears drain Hong Kong's blood banks. Radio Television Hong Kong [newspaper on the internet]. 2020 Feb 12. Available from: https://news.rthk.hk/rthk/en/component/k2/1508174-20200212.htm. Accessed 10 Mar 2020.
24. The Annual Report of Hong Kong Red Cross 2018/2019. Available from: https://www.redcross.org.hk/en/publications/annual_reports.html. Accessed 15 Jan 2020.
25. World Health Assembly. Resolution WHA63.12: Availability, safety and quality of blood products. Available from: https://apps.who.int/medicinedocs/documents/s19998en/s19998en.pdf. Accessed 10 Jan 2020.
26. Farmer SL, Towler SC, Leahy MF, Hofmann A. Drivers for change: Western Australia Patient Blood Management Program (WA PBMP), World Health Assembly (WHA) and Advisory Committee on Blood Safety and Availability (ACBSA). Best Pract Res Clin Anaesthesiol 2013;27:43-58. Crossref
27. Whitaker B, Rajbhandary S, Kleinman S, Harris A, Kamani N. Trends in United States blood collection and transfusion: results from the 2013 AABB Blood Collection, Utilization, and Patient Blood Management Survey. Transfusion 2016;56:2173-83. Crossref
28. Abdullah HR, Ang AL, Froessler B, et al. Getting patient blood management Pillar 1 right in the Asia-Pacific: a call for action. Singapore Med J 2019 May 2. Epub ahead of print. Crossref
29. D E H O, Hadi F, Stevens V. Health economic evaluation comparing iv iron ferric carboxymaltose, iron sucrose and blood transfusion for treatment of patients with iron deficiency anemia (Ida) in Singapore. Value Health 2014;17:A784. Crossref
30. Lee ES, Kim MJ, Park BR, et al. Avoiding unnecessary blood transfusions in women with profound anaemia. Aust N Z J Obstet Gynaecol 2015;55:262-7. Crossref
31. Yoon HM, Kim YW, Nam BH, et al. Intravenous ironsupplementation may be superior to observation in acute isovolemic anemia after gastrectomy for cancer. World J Gastroenterol 2014;20:1852-7. Crossref
32. Na HS, Shin SY, Hwang JY, Jeon YT, Kim CS, Do SH. Effects of intravenous iron combined with low-dose recombinant human erythropoietin on transfusion requirements in iron-deficient patients undergoing bilateral total knee replacement arthroplasty. Transfusion 2011;51:118-24. Crossref
33. Lee QJ, Mak WP, Yeung ST, Wong YC, Wai YL. Blood management protocol for total knee arthroplasty to reduce blood wastage and unnecessary transfusion. J Orthop Surg (Hong Kong) 2015;23:66-70. Crossref
34. Zmistowski B, Karam JA, Durinka JB, Casper DS, Parvizi J. Periprosthetic joint infection increases the risk of one-year mortality. J Bone Joint Surg Am 2013;95:2177-84. Crossref
35. Kim JL, Park JH, Han SB, Cho IY, Jang KM. Allogeneic blood transfusion is a significant risk factor for surgical-site infection following total hip and knee arthroplasty: a meta-analysis. J Arthroplasty 2017;32:320-5. Crossref
36. Moskal JT, Harris RN, Capps SG. Transfusion cost savings with tranexamic acid in primary total knee arthroplasty from 2009 to 2012. J Arthroplasty 2015;30:365-8. Crossref
37. Lindman IS, Carlsson LV. Extremely low transfusion rates: contemporary primary total hip and knee arthroplasties. J Arthroplasty 2018;33:51-4. Crossref

Pages