Hong Kong Med J 2016 Feb;22(1):30–8 | Epub 23 Oct 2015
© Hong Kong Academy of Medicine. CC BY-NC-ND 4.0
Association between pregnancy-associated plasma protein-A levels in the first trimester and gestational diabetes mellitus in Chinese women
Queenie KY Cheuk, MB, ChB, FHKAM (Obstetrics and Gynaecology); TK Lo, MB, BS, FHKAM (Obstetrics and Gynaecology); SF Wong, FRCOG, FHKAM (Obstetrics and Gynaecology); CP Lee, FRCOG, FHKAM (Obstetrics and Gynaecology)
Department of Obstetrics and Gynaecology, Pamela Youde Nethersole Eastern Hospital, Chai Wan, Hong Kong
Corresponding author: Dr Queenie KY Cheuk (email@example.com)
Introduction: Several studies have shown that women with pre-existing diabetes mellitus have significantly lower pregnancy–associated plasma protein-A levels than those without. This study aimed to evaluate whether first-trimester pregnancy–associated plasma protein-A multiple of median is associated with gestational diabetes mellitus in Chinese pregnant women.
Methods: This prospectively collected case series was conducted in a regional hospital in Hong Kong. All consecutive Chinese women with a singleton pregnancy who attended the hospital for their first antenatal visit (before 14 weeks’ gestation) from April to July 2014 were included. Pregnancy-associated plasma protein-A multiple of median was compared between the gestational diabetic (especially for early-onset gestational diabetes) and non-diabetic groups. The correlation between pregnancy-associated plasma protein-A level and glycosylated haemoglobin level in women with gestational diabetes was also examined.
Results: Of the 520 women recruited, gestational diabetes was diagnosed in 169 (32.5%). Among them, 43 (25.4%) had an early diagnosis, and 167 (98.8%) with the disease were managed by diet alone. The gestational diabetic group did not differ significantly to the non-diabetic group in pregnancy-associated plasma protein-A (0.97 vs 0.99, P=0.40) or free β-human chorionic gonadotrophin multiple of median (1.05 vs 1.02, P=0.29). Compared with the non-gestational diabetic group, women with early diagnosis of gestational diabetes had a non-significant reduction in pregnancy-associated plasma protein-A multiple of median (median, interquartile range: 0.86, 0.57-1.23 vs 0.99, 0.67-1.44; P=0.11). Pregnancy-associated plasma protein-A and glycosylated haemoglobin levels were not correlated in women with gestational diabetes (r=0.027; P=0.74).
Conclusions: Chinese women with non–insulin-dependent gestational diabetes did not exhibit significant changes to pregnancy-associated plasma protein-A multiple of median nor a correlation between pregnancy-associated plasma protein-A with glycosylated haemoglobin levels. Pregnancy-associated plasma protein-A multiple of median was not predictive of non–insulin-dependent gestational diabetes or early onset of gestational diabetes. There was a high prevalence of gestational diabetes in the Chinese population.
New knowledge added by this study
- This is the first study to assess the association of first-trimester pregnancy–associated plasma protein-A multiple of median (PAPP-A MoM) with gestational diabetes mellitus (GDM) in a Chinese population. PAPP-A MoM was not predictive of development of non–insulin-dependent GDM in Chinese women.
- There was no correlation between PAPP-A MoM and glycosylated haemoglobin level in Chinese women with GDM. PAPP-A levels were not useful to predict and identify poor glycaemic control in women with GDM.
- There was a high prevalence of GDM (32.5%) in the Chinese population.
- PAPP-A and free β-human chorionic gonadotrophin do not seem to be predictive of non–insulin-dependent GDM. Other predictive model that comprises the maternal and clinical risk factors in Chinese women is warranted to identify women at risk of GDM.
- Further studies that employ the new diagnostic criteria for GDM are warranted to examine the potential of first-trimester biochemical markers to predict GDM as well as their influence on the prevalence of GDM in the Chinese population.
Gestational diabetes mellitus (GDM) is defined as carbohydrate intolerance of any degree that starts or is first recognised during pregnancy.1 The prevalence of GDM in pregnant women varies widely in different populations and is highly dependent on the screening and diagnosis strategies that are used.2 In the 1990s, the prevalence of GDM in Hong Kong was approximately 14.2%.3 Studies in China and the United States show that the incidence of GDM has been increasing in recent years,4 5 thus increasing the risk of complications for both mother and child during pregnancy, childbirth, and beyond.6 Notably, it is reported that high first-trimester glucose levels are associated with an increased risk of a diagnosis of GDM later in pregnancy and adverse pregnancy outcome.7 This suggests that women who will develop GDM can exhibit metabolic alterations early in pregnancy. Thus, it is of interest to determine whether pregnant women who develop GDM exhibit changes to first-trimester biochemical markers. If so, such markers can allow early detection and treatment of women at risk of GDM, and thus reduce the associated morbidity.8 9
In Hong Kong, all women undergo first-trimester screening for Down syndrome using a combination of maternal age, maternal free β-human chorionic gonadotrophin (β-HCG), pregnancy-associated plasma protein-A (PAPP-A), and fetal nuchal translucency (NT) thickness at 11–13+6 weeks of gestation. Studies have shown that low free β-HCG and PAPP-A levels in the first trimester are associated with pregnancy complications.10 11 In particular, low PAPP-A levels are significantly associated with spontaneous fetal loss, low-birth-weight babies, intra-uterine growth restriction, pregnancy-induced hypertension, pre-eclampsia, preterm rupture of membranes, and placental abruption.12 13 14 Several studies have shown that women with pre-existing diabetes mellitus (DM) have significantly lower PAPP-A levels than those without DM.11 15 16 17 18 Besides, PAPP-A levels in non-pregnant individuals with type 2 DM correlate inversely with glycosylated haemoglobin (HbA1c) levels.19 These observations suggest that PAPP-A levels may reflect the degree of glycaemic control. Studies of PAPP-A levels in patients with GDM have yielded conflicting results, however. In addition, such studies in Chinese women, who are well known to have a high prevalence of GDM, have not been performed.
The primary objective of this study was to investigate whether Chinese women with GDM exhibit changes in PAPP-A multiple of median (MoM) in the first trimester. The secondary objectives were to investigate whether PAPP-A level was an independent predictor of GDM, especially for early onset of GDM; whether PAPP-A MoM correlated with glycaemic control in women with GDM; and the prevalence of GDM in the Chinese population.
This prospectively collected case series was conducted between April and July 2014 at the obstetric unit of Pamela Youde Nethersole Eastern Hospital, which is a public tertiary care hospital in Hong Kong. Ethical approval for the study was obtained from the local institutional human research ethics committee.
All consecutive Chinese women with a singleton pregnancy who attended the hospital for their first antenatal visit (before 14 weeks of gestation) during the recruitment period were invited to participate in this study. Written informed consent was obtained from all women who agreed to participate. Women with a multiple pregnancy, pre-existing DM, chronic disease (eg renal disease, hypertension, connective tissue disease), miscarriage, termination of pregnancy, a fetus with a chromosomal or congenital abnormality, or preterm delivery before an oral glucose tolerance test (OGTT) could be performed were excluded.
Universal first-trimester Down syndrome screening was performed using fetal NT and maternal biochemistry. The ultrasound machine used was the Voluson E8 Expert (GE Healthcare, Fairfield [CT], US) or iU22 (Philips Medical System, Bothell [WA], US) equipped with a 3-5 MHz convex/broadband transducer. To determine crown rump length and NT thickness, the protocols outlined by the Fetal Medicine Foundation were followed.20 The serum levels of free β-HCG and PAPP-A were measured by the DELFIA Xpress analytical platform (PerkinElmer Life Sciences, Turku, Finland). Multiple of median was adjusted for maternal weight and ethnicity. Down syndrome risk was calculated using the Alpha software (Logical Medical Systems, London, UK).
The demographic and clinical data were routinely collected by an obstetrician during the first antenatal visit and were entered into the hospital electronic system (antenatal record system). Maternal weight, height, and blood pressure were measured and body mass index (BMI) was calculated.
All women who had one or more risk factors for the development of GDM, such as advanced maternal age (≥35 years), previous GDM, family history of DM (first-degree relative with DM), a previous macrosomic baby (≥4.0 kg), an unexplained stillbirth, significant glycosuria, or obesity (BMI ≥25 kg/m2) underwent an early 75-g OGTT after the initial visit. The OGTT results were interpreted according to the World Health Organization (WHO) 1999 criteria.21 Gestational DM was diagnosed if the fasting blood glucose level was ≥7.0 mmol/L or if the 2-hour OGTT blood glucose level was ≥7.8 mmol/L. All low-risk women and those with normal early OGTT results underwent universal 75-g OGTT screening at around 28 to 30 weeks. Women with a diagnosis of GDM underwent a further blood test 2 to 3 weeks after the initial diagnosis to determine HbA1c level. They were also given dietary and exercise advice and encouraged to perform daily capillary blood glucose monitoring before and 2 hours after a meal. If the pre- and post-meal glucose levels frequently exceeded 6.0 and 7.8 mmol/L, respectively, the women were prescribed insulin. All participating women received routine antenatal care until delivery according to our department protocol.
All statistical analyses were performed using PASW Statistics 18, Release Version 18.0.0 (SPSS Inc, 2009, Chicago [IL], US). Categorical data were analysed using the Chi squared test or Fisher’s exact test, depending on the data distribution. For continuous variables with a normal distribution, the independent t test was used. For continuous data with a highly skewed distribution, a non-parametric test (ie Mann-Whitney U test) was used.
Sample size was calculated based on two assumptions. First, about 25% of the population screened will have GDM, according to a previous local study22 and our departmental annual audit. Second, there was a 10% difference in PAPP-A MoM between a GDM and non-GDM group, according to a previous published series.23 Based on these assumptions, a total sample size of 380 cases with 95 cases in the GDM group and 285 cases in the non-GDM group were required for a type 1 error of 0.05, power of 80%, and standard deviation of 0.3 in both groups.
The study sample is summarised in the Figure. In total, 520 women participated in the study of whom 157 (30.2%) underwent early OGTT. Indications for early OGTT are summarised in Table 1. Overall, GDM was diagnosed in 169 women. Among them, 43 (25.4%) had an early diagnosis of GDM. All GDM cases were diagnosed based on a 2-hour OGTT blood glucose level of ≥7.8 mmol/L; none had a fasting blood glucose level of ≥7.0 mmol/L (Table 2). The remaining 351 women did not develop GDM. The GDM prevalence was 32.5%. No woman underwent preterm delivery before OGTT. There was no difference in baseline characteristics between those excluded (eg defaulter and decliner) and those included in the analysis. The majority (n=167; 98.8%) of women with GDM were managed with diet alone. Only two (1.2%) required insulin.
Table 2. Prevalence of GDM and GDM diagnosed by each blood glucose measure with different diagnostic criteria
The maternal characteristics of the women with and without GDM are shown in Table 3. Compared with the non-GDM group, women in the GDM group were significantly older (34 vs 32 years), had a higher parity (1 vs 0) and a higher BMI (22.5 vs 21.3 kg/m2). They were also more likely to have conceived with assisted reproductive technology and to have a family history of DM and a history of GDM. The two groups did not differ in terms of PAPP-A MoM (P=0.40) or free β-HCG MoM (P=0.29), however.
Compared with the non-GDM group, women with an early diagnosis of GDM had a non-significant reduction in PAPP-A MoM (median, interquartile range: 0.86, 0.57-1.23 vs 0.99, 0.67-1.44; P=0.11). There was also a non-significant reduction in PAPP-A MoM (median, interquartile range: 0.86, 0.57-1.23 vs 1.02, 0.72-1.61; P=0.07) in the women with early-onset GDM compared with those who had late-onset GDM (their early OGTT result was normal but subsequent routine OGTT result at 28 weeks was abnormal). Only two women with GDM required insulin treatment: their PAPP-A MoM was 0.54 and 0.78, which was low when compared with that of women with GDM who did not require insulin treatment or with the non-GDM group.
In this study, 308 (59.2%) women were nulliparous. Among them, GDM was diagnosed in 83 women. Compared with the non-GDM group, nulliparous women with GDM had no significant change in PAPP-A MoM (median, interquartile range: 0.92, 0.63-1.27 vs 1.0, 0.72-1.46; P=0.08).
Although univariate analysis showed that the women with and without GDM did not differ significantly in PAPP-A MoM, it is possible that an association between GDM and PAPP-A MoM was obscured by confounding variables. To identify potential confounding variables, Spearman’s rho correlation coefficient analysis was performed (Table 4). It revealed that PAPP-A MoM did not correlate with maternal age, height, parity, or NT. There was a significant but weak correlation between PAPP-A MoM and free β-HCG MoM (r=0.2). Since univariate analysis showed that free β-HCG MoM was not associated with GDM (P=0.29), its confounding effect would be minimal. Thus, an association between GDM and PAPP-A MoM was not detected.
Table 4. Correlations of pregnancy-associated plasma protein-A multiple of median with maternal demographic and clinical characteristics
Our study showed that with maternal risk factor screening strategies, only 157 (30.2%) women would undergo OGTT (Fig). If we screened at-risk women by early OGTT alone, only 43 (25.4%) cases of GDM would be identified. On the other hand, if we subjected at-risk women to early OGTT followed by 28-week OGTT for those who had a normal early OGTT, 83 (49.1%) cases of GDM would be identified.
Although we lacked 1-hour data, we tried to determine whether PAPP-A was associated with GDM based on new diagnostic criteria from the American Diabetes Association (ADA), the International Association of Diabetes and Pregnancy Study Groups (IADPSG),24 and WHO 2013.25 A total of 23 women in whom GDM was diagnosed during early pregnancy based on WHO 1999 criteria (but normal by WHO 2013 criteria) did not undergo a second OGTT and were excluded from analysis. The application of the fasting or 2-hour criteria led to 92 (18.5%) women being identified with GDM. The majority (76%) of women were diagnosed with GDM based on a 2-hour glucose level of ≥8.5 mmol/L (Table 2). Nevertheless, the GDM group again did not differ to the non-GDM group in terms of PAPP-A MoM (median, interquartile range: 0.94, 0.67-1.34 vs 0.99, 0.66-1.43; P=0.52) or free β-HCG MoM (1.02, 0.71-1.56 vs 1.03, 0.72-1.61; P=0.80).
To determine whether PAPP-A MoM and HbA1c levels in women with GDM correlated with each other, Spearman’s rho correlation coefficient was used. A correlation was not found (r=0.027; P=0.74).
The present study showed that Chinese women with GDM did not exhibit a significant change in PAPP-A MoM during the first trimester. Women with early-onset GDM had a non-significant decrease in PAPP-A MoM when compared with non-GDM women or women with late-onset GDM. Nevertheless, first-trimester PAPP-A MoM was not a useful predictor for development of GDM or early-onset GDM. This is consistent with the results of three other studies18 26 27 but contradicts others.8 9 11 23 28 29 These published series are summarised in Table 5.8 9 11 18 23 26 27 28 29 There are several possible explanations for the different results of these studies, including ours.
Table 5. Summary of published studies on first-trimester biochemical marker concentrations in women who develop gestational diabetes mellitus8 9 11 18 23 26 27 28 29
First, the studies differed in the selection criteria used to determine when OGTT should be performed, which in turn would target a different study population: some women were tested on the basis of GDM risk factors,23 some when the women had an abnormal random blood glucose level11 18 or 50-mg glucose challenge test,9 28 others as a universal screening test as in our study.8 27
Second, the studies differed in terms of the OGTT method (75-g 2 hours, 100-g 3 hours, 100-g 2 hours) and diagnostic criteria. Tran et al30 showed that GDM varied substantially in the same population by different diagnostic criteria: 5.9% ADA, 20.4% IADPSG, and 24.3% WHO 1999.
Third, the studies may differ in GDM severity, as reflected by the proportion of women with GDM who required insulin treatment. Women with GDM who require insulin may have a more severe type of GDM or undiagnosed pre-existing DM. Lovati et al8 showed that women with GDM had a significantly lower PAPP-A MoM if they received insulin therapy than women with GDM who were managed by diet (0.56 vs 0.76 MoM; P<0.001). Beneventi et al29 showed a similar result that PAPP-A MoM was significantly lower in GDM managed with insulin treatment than GDM without (0.87 vs 1.11 MoM; P=0.031). These studies showed that insulin-dependent GDM was more strongly correlated with lower PAPP-A MoM. There were, however, only two (1.2%) women with GDM in our study who required insulin, a much lower frequency compared with other study populations (12%-100%).8 9 11 18 23 26 27 28 29 Although both women had a lower PAPP-A MoM than women with non–insulin-treated GDM or non-GDM group, such a small proportion is insufficient to determine whether PAPP-A MoM differs significantly between women with insulin-treated GDM and non–insulin-treated women with GDM. The low frequency of insulin treatment in our study population may imply that the majority of affected Chinese women had mild GDM and may also explain why our study population did not exhibit changes in PAPP-A MoM during the first trimester.
Fourth, it is known that PAPP-A and free β-HCG are influenced by other maternal or pregnancy variables such as gestational age,11 maternal weight,9 28 and smoking.26 Corrections for these variables were taken into account when calculating the MoM of PAPP-A and free β-HCG. While different laboratories may have corrected the MoM of PAPP-A and free β-HCG differently using maternal or pregnancy variables, this may have introduced bias in the assessment of the association between these biochemical markers and GDM.
The HAPO study led to considerable debate about the definition of GDM.6 31 As a result, ADA, IADPSG,24 and WHO 201325 have recently suggested that GDM is diagnosed on the basis of 75-g OGTT and fasting, 1-hour, or 2-hour glucose levels of ≥5.1, ≥10.0, and ≥8.5 mmol/L as the threshold, respectively. Since we had the fasting and 2-hour glucose data (1-hour glucose data were not available), we reclassified our patients with GDM accordingly. After reclassification, PAPP-A and free β-HCG MoM in women with GDM did not differ to that of women without GDM. Our reclassification had limitations, however. A total of 23 women who were diagnosed with GDM during early pregnancy using old WHO 1999 criteria (but normal by WHO 2013 criteria) did not undergo second OGTT so it is unknown whether their results of a second OGTT would be normal or diagnosed as GDM based on the new WHO criteria. Further studies that employ the new diagnostic criteria for GDM are warranted to explore the potential of using first-trimester biochemical markers to predict GDM.
During pregnancy, PAPP-A is produced by trophoblasts and is detectable in maternal blood 28 days after conception. An experimental model found that PAPP-A was a protease of insulin growth factor binding protein 4, regulating the activity of insulin-like growth factor (IGF).32 This may be a plausible explanation for the association between PAPP-A and glycaemic control because the IGF axis is involved in glycaemic control. Human studies, however, have not provided clear evidence for a metabolic or biochemical mechanism that can explain a putative association between first-trimester PAPP-A levels and GDM. In one study, non-pregnant individuals with type 2 DM were found to have lower PAPP-A levels than non-diabetic controls, PAPP-A levels correlated inversely with HbA1c levels (r= –0.2; P=0.03).19 Another study failed to detect this correlation in pregnant women with insulin-dependent DM.17 Similarly, we identified no correlation between PAPP-A and HbA1c levels in women with GDM. These observations suggest that PAPP-A may not be useful for assessing or predicting glycaemic control in women with GDM due to the relatively short duration of women’s exposure to GDM that is confined to the latter part of pregnancy. This is particularly so in Chinese as the majority of affected women, as we have demonstrated, have mild disease only. To our knowledge, our study is the first to address this issue in women with GDM.
Different tools to assess risk of GDM have been proposed and most have found that previous GDM is the best predictor of subsequent GDM.33 In our population, the majority of women (59.2%) were nulliparous. We tried to investigate whether PAPP-A would be a possible predictor in this group of women. Our study showed that in nulliparous women with GDM, first-trimester PAPP-A MoM did not differ to that of women without GDM.
There is much debate about the screening strategies for GDM. Jensen et al34 found that risk factor–based screening was as effective as universal screening: those not identified on risk factor screening were negligible compared with the high number successfully identified. However, this may not be the case with Chinese women whose ethnicity places them at risk of GDM.35 36 37 Our study showed that with maternal clinical risk factor–based screening, less than one third of our population would undergo OGTT and about half of the GDM cases would be missed. Provided resources are available, universal screening should be considered in Chinese women.
Our study, which was based on universal screening, showed a high prevalence of GDM (32.5%). This prevalence was much higher than that of a study conducted by Ko et al3 in the early 1990s (14.2%). It was also higher than the HAPO study cohort in 2000-200638 that reported a prevalence of GDM in Hong Kong of 14.4%. It is worth investigating this change in the trend of GDM prevalence in Hong Kong that may be due to increasing maternal obesity, adoption of a westernised diet and lifestyle, genetic shift, or other unknown factors. Some authors have proposed that with the new GDM diagnostic criteria, the prevalence of GDM may increase further.23 This may not be the case in Chinese, however. The HAPO study38 found that in Hong Kong, a higher proportion (29%) of GDM was diagnosed based on a raised 2-hour glucose level than in other countries (6%-19%). Our study concurred with the HAPO study: all women diagnosed with GDM (WHO 1999) had a raised 2-hour glucose level only (Table 2). With the raised 2-hour glucose cut-off value in the new WHO diagnostic criteria (from ≥7.8 to ≥8.5 mmol/L), the prevalence of GDM in Chinese may not be raised. Our figure of reclassifying GDM using new diagnostic criteria without 1 hour did show a reduction in GDM prevalence. Further study using the full WHO 2013 diagnostic criteria to assess the prevalence of GDM in Chinese is warranted.
Departmental resources and limited manpower did not allow us to use the new WHO 2013 diagnostic criteria. Moreover, possible selection bias (eg defaulters and decliners) and possible confounding factors were not taken into account in the present study. Nevertheless all women in our study underwent routine OGTT to identify GDM, covering both low- and high-risk groups, whereas other studies were more likely to focus only on a high-risk group. Some previous studies11 15 18 have also included women with pre-existing DM.
This was the first study to assess the association between first-trimester PAPP-A levels and GDM in a Chinese population. It showed that the vast majority of Chinese women with GDM did not require insulin nor exhibit significant change in PAPP-A MoM during the first trimester. First-trimester PAPP-A MoM was not a useful predictor for development of GDM. A correlation between PAPP-A and HbA1c levels was not observed. Our study showed a high prevalence of GDM at 32.5%, which is higher than that in previous studies.
No conflicts of interest were declared by authors.
1. American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care 2009;32 Suppl 1:S62-7. CrossRef
2. Galtier F. Definition, epidemiology, risk factors. Diabetes Metab 2010;36:628-51. CrossRef
3. Ko GT, Tam WH, Chan JC, Rogers M. Prevalence of gestational diabetes mellitus in Hong Kong based on the 1998 WHO criteria. Diabet Med 2002;19:80. CrossRef
4. Dabelea D, Snell-Bergeon JK, Hartsfield CL, Bischoff KJ, Hamman RF, McDuffie RS; Kaiser Permanente of Colorado GDM Screening Program. Increasing prevalence of gestational diabetes mellitus (GDM) over time and by birth cohort: Kaiser Permanente of Colorado GDM Screening Program. Diabetes Care 2005;28:579-84. CrossRef
5. Zhang F, Dong L, Zhang CP, et al. Increasing prevalence of gestational diabetes mellitus in Chinese women from 1999 to 2008. Diabet Med 2011;28:652-7. CrossRef
6. HAPO Study Cooperative Research Group, Metzger BE, Lowe LP, Dyer AR, et al. Hyperglycemia and adverse pregnancy outcomes. N Engl J Med 2008;358:1991-2002. CrossRef
7. Riskin-Mashiah S, Younes G, Damti A, Auslender R. First-trimester fasting hyperglycemia and adverse pregnancy outcomes. Diabetes Care 2009;9:1639-43. CrossRef
8. Lovati E, Beneventi F, Simonetta M, et al. Gestational diabetes mellitus: including serum pregnancy-associated plasma protein-A testing in the clinical management of primiparous women? A case-control study. Diabetes Res Clin Pract 2013;100:340-7. CrossRef
9. Beneventi F, Simonetta M, Lovati E, et al. First trimester pregnancy–associated plasma protein-A in pregnancies complicated by subsequent gestational diabetes. Prenat Diagn 2011;31:523-8. CrossRef
10. Pedersen JF, Sørensen S, Ruge S. Human placental lactogen and pregnancy-associated plasma protein A in first trimester and subsequent fetal growth. Acta Obstet Gynecol Scand 1995;74:505-8. CrossRef
11. Ong CY, Liao AW, Spencer K, Munim S, Nicolaides KH. First trimester maternal serum free beta human chorionic gonadotrophin and pregnancy associated plasma protein A as predictors of pregnancy complications. BJOG 2000;107:1265-70. CrossRef
12. Farina A, Rapacchia G, Freni Sterrantino A, Pula G, Morano D, Rizzo N. Prospective evaluation of ultrasound and biochemical-based multivariable models for the prediction of late pre-eclampsia. Prenat Diagn 2011;31:1147-52. CrossRef
13. Montanari L, Alfei A, Albonico G, et al. The impact of first-trimester serum free beta-human chorionic gonadotropin and pregnancy-associated plasma protein A on the diagnosis of fetal growth restriction and small for gestational age infant. Fetal Diagn Ther 2009;25:130-5. CrossRef
14. Dugoff L, Hobbins JC, Malone FD, et al. First-trimester maternal serum PAPP-A and free-beta subunit human chorionic gonadotropin concentrations and nuchal translucency are associated with obstetric complications: a population-based screening study (the FASTER Trial). Am J Obstet Gynecol 2004;4:1446-51. CrossRef
15. Spencer K, Cowans NJ, Spencer CE, Achillea N. A re-evaluation of the influence of maternal insulin-dependent diabetes on fetal nuchal translucency thickness and first-trimester maternal serum biochemical markers of aneuploidy. Prenat Diagn 2010;30:937-40. CrossRef
16. Kuc S, Wortelboer EJ, Koster MP, de Valk HW, Schielen PC, Visser GH. Prediction of macrosomia at birth in type-1 and 2 diabetic pregnancies with biomarkers of early placentation. BJOG 2011;118:748-54. CrossRef
17. Pedersen JF, Sørensen S, Mølsted-Pedersen L. Serum levels of human placental lactogen, pregnancy-associated plasma protein A and endometrial secretory protein PP14 in first trimester of diabetic pregnancy. Acta Obstet Gynecol Scand 1998;77:155-8. CrossRef
18. Savvidou MD, Syngelaki A, Muhaisen M, Emelyanenko E, Nicolaides KH. First trimester maternal serum free β-human chorionic gonadotropin and pregnancy-associated plasma protein A in pregnancies complicated by diabetes mellitus. BJOG 2012;119:410-6. CrossRef
19. Pellitero S, Reverter JL, Pizarro E, et al. Pregnancy-associated plasma protein-a levels are related to glycemic control but not to lipid profile or hemostatic parameters in type 2 diabetes. Diabetes Care 2007;30:3083-5. CrossRef
20. Spencer K, Souter V, Tul N, Snijders R, Nicolaides KH. A screening program for trisomy 21 at 10-14 weeks using fetal nuchal translucency, maternal serum free beta-human chorionic gonadotropin and pregnancy-associated plasma protein-A. Ultrasound Obstet Gynecol 1999;4:231-7. CrossRef
21. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1. Diagnosis and classification of diabetes mellitus. WHO/NCD/NCS/99.2. Geneva: World Health Organization; 1999.
22. Li KE, Cheung YS, Lau BY. Use of fasting plasma glucose and haemoglobin A1c in screening for gestational diabetes mellitus in high-risk antenatal patients in Hong Kong. Hong Kong J Gynaecol Obstet Midwifery 2014;14:31-7.
23. Spencer K, Cowans NJ. The association between gestational diabetes mellitus and first trimester aneuploidy screening markers. Ann Clin Biochem 2013;50:603-10. CrossRef
24. International Association of Diabetes and Pregnancy Study Groups Consensus Panel, Metzger BE, Gabbe SG, Persson B, et al. International association of diabetes and pregnancy study groups recommendations on the diagnosis and classification of hyperglycemia in pregnancy. Diabetes Care 2010;33:676-82. CrossRef
25. Diagnostic criteria and classification of hyperglycaemia first detected in pregnancy. WHO_NMH_MND_13.2_eng. Geneva: World Health Organization; 2013. Available from: http://www.who.int/iris/handle/10665/85975. Accessed 5 Dec 2013.
26. Tul N, Pusenjak S, Osredkar J, Spencer K, Novak-Antolic Z. Predicting complications of pregnancy with first-trimester maternal serum free-betahCG, PAPP-A and inhibin-A. Prenat Diagn 2003;23:990-6. CrossRef
27. Husslein H, Lausegger F, Leipold H, Worda C. Association between pregnancy-associated plasma protein-A and gestational diabetes requiring insulin treatment at 11-14 weeks of gestation. J Matern Fetal Neonatal Med 2012;25:2230-3. CrossRef
28. Kulaksizoglu S, Kulaksizoglu M, Kebapcilar AG, Torun AN, Ozcimen E, Turkoglu S. Can first-trimester screening program detect women at high risk for gestational diabetes mellitus? Gynecol Endocrinol 2013;29:137-40. CrossRef
29. Beneventi F, Simonetta M, Locatelli E, et al. Temporal variation in soluble human leukocyte antigen-G (sHLA-G) and pregnancy-associated plasma protein A (PAPP-A) in pregnancies complicated by gestational diabetes mellitus and in controls. Am J Reprod Immunol 2014;72:413-21. CrossRef
30. Tran TS, Hirst JE, Do MA, Morris JM, Jeffery HE. Early prediction of gestational diabetes mellitus in Vietnam: clinical impact of currently recommended diagnostic criteria. Diabetes Care 2013;36:618-24. CrossRef
31. Moses RG. New consensus criteria for GDM: problem solved or a pandora’s box? Diabetes Care 2010;33:690-1. CrossRef
32. Lawrence JB, Oxvig C, Overgaard MT, et al. The insulin-like growth factor (IGF)–dependent IGF binding protein-4 protease secreted by human fibroblasts is pregnancy-associated plasma protein-A. Proc Natl Acad Sci USA 1999;96:3149-53. CrossRef
33. Teede HJ, Harrison CL, Teh WT, Paul E, Allan CA. Gestational diabetes: development of an early risk prediction tool to facilitate opportunities for prevention. Aust N Z J Obstet Gynaecol 2011;51:499-504. CrossRef
34. Jensen DM, Mølsted-Pedersen L, Beck-Nielsen H, Westergaard JG, Ovesen P, Damm P. Screening for gestational diabetes mellitus by a model based on risk indicators: a prospective study. Am J Obstet Gynecol 2003;189:1383-8. CrossRef
35. American Diabetic Association. Gestational diabetes mellitus. Diabetes Care 1998;21 Suppl 1:S60-1. CrossRef
36. Alberti KG, Zinnet PZ. Definition, diagnosis and classification of diabetes mellitus and its complications; Part 1 : Diagnosis and classification of diabetes mellitus. Provisional report of a WHO consultation. Diabet Med 1998;15:539-53. CrossRef
37. Naylor CD, Sermer M, Chen E, Farine D. Selective screening for gestational diabetes mellitus. Toronto Trihospital Gestational Diabetes Project Investigators. N Engl J Med 1997;337:1591-6. CrossRef
38. Sacks DA, Hadden DR, Maresh M, et al. Frequency of gestational diabetes mellitus at collaborating centers based on IADPSG consensus panel–recommended criteria: the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study. Diabetes Care 2012;35:526-8. CrossRef