Utility of Pregestational Body Mass Index and Initial Fasting Plasma Glucose in Predicting Gestational Diabetes Mellitus

Risk factors and diagnostic performance of predictors as a screening technique for gestational diabetes mellitus: a retrospective cross-sectional study

Background

Gestational diabetes mellitus (GDM) is a condition that can have negative impacts on both mother and baby. Detecting GDM early is crucial, and fasting plasma glucose (FPG) has been suggested as a possible screening method. This retrospective cross-sectional study aims to investigate potential risk factors and complications associated with GDM. Additionally, it aims to establish the diagnostic performance of predictive factors as a screening method for GDM.

Methods

Data were collected from the medical records of 247 pregnant women who visited outpatient Obstetrics clinics between 2021 and 2022. The study investigated potential risk factors and complications associated with GDM, including impaired fasting glucose/impaired glucose tolerance (IFG/IGT), family history of diabetes mellitus (DM), and medical conditions. Moreover, the study evaluated the diagnostic performance of potential predictors as screening techniques for GDM.

Results

The study found that IFG/IGT (P<0.001), a history of GDM (P<0.001), and a family history of DM (P=0.022) were significant factors associated with GDM. Healthy individuals had a lower risk of developing GDM (P<0.001). No significant correlation was found between GDM and macrosomia, hypertension, polycystic ovarian syndrome, or other obstetric complications. Although a weak association was observed between fasting blood glucose levels during the first trimester and GDM, it was not significant.

Conclusion

In conclusion, this study found that IFG/IGT and a past history of GDM were significantly associated with GDM. Additionally, a family history of diabetes increased the likelihood of developing GDM, while no significant association was found between GDM and other obstetric complications. Although a weak association was observed between fasting blood glucose levels during the first trimester and GDM, it was not statistically significant.

A Simplified Screening Model to Predict the Risk of Gestational Diabetes Mellitus in Pregnant Chinese Women

INTRODUCTION

This study aimed to develop a simplified screening model to identify pregnant Chinese women at risk of gestational diabetes mellitus (GDM) in the first trimester.

METHODS

This prospective study included 1289 pregnant women in their first trimester (6-12 weeks of gestation) with clinical parameters and laboratory data. Logistic regression was performed to extract coefficients and select predictors. The performance of the prediction model was assessed in terms of discrimination and calibration. Internal validation was performed through bootstrapping (1000 random samples).

RESULTS

The prevalence of GDM in our study cohort was 21.1%. Maternal age, prepregnancy body mass index (BMI), a family history of diabetes, fasting blood glucose levels, the alanine transaminase to aspartate aminotransferase ratio (ALT/AST), and the triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-C) were selected for inclusion in the prediction model. The Hosmer-Lemeshow goodness-of-fit test showed good consistency between prediction and actual observation, and bootstrapping indicated good internal performance. The area under the receiver operating characteristic curve (ROC-AUC) of the multivariate logistic regression model and the simplified clinical screening model was 0.825 (95% confidence interval [CI] 0.797-0.853, P < 0.001) and 0.784 (95% CI 0.750-0.818, P < 0.001), respectively. The performance of our prediction model was superior to that of three other published models.

CONCLUSION

We developed a simplified clinical screening model for predicting the risk of GDM in pregnant Chinese women. The model provides a feasible and convenient protocol to identify women at high risk of GDM in early pregnancy. Further validations are needed to evaluate the performance of the model in other populations.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT03246295.

Risk of gestational diabetes mellitus by pre-pregnancy body mass index: A systematic review and meta-analysis

Gestational diabetes mellitus (GDM) is serious health challenges. This study aimed at determining the risk of GDM among pregnant women by pre-pregnancy BMI. Five electronic databases including Medline (PubMed), Scopus, Embase, Web of Science and Google Scholar were searched for literature published form 2015 to January 1, 2021. The pooled estimate risk of GDM among pregnant women was 16.8% (95% CI: 15.3-18.4). The risk of GDM in underweight/normal group and overweight/obese group were 10.7% (95% CI: 9.1-12.4) and 23% (95% CI: 20.2-25.9), respectively. The risk of GDM is high among overweight/obese pregnant women.

A case-control study to predict the risk of gestational diabetes mellitus by initial fasting blood sugar or past gestational history

BACKGROUND

Gestational diabetes mellitus (GDM) deserves proper prevention, diagnosis, and management due to healthcare implications from both maternal and fetal concerns.

OBJECTIVE

To evaluate the rate and investigate the risk factors for developing GDM.

MATERIALS AND METHODS

In this case-control, universal screening for GDM between 24 and 28 wk of gestation was performed in 613 pregnant women attending a prenatal clinic in Tehran who were followed-up until delivery between March 2017 to March 2018. Of the 613 women, 143 had GDM and 470 had normal glucose tolerance test as the primary diagnosis. Some GDM risk factors were compared in two groups.

RESULTS

Impaired glucose tolerance test was detected in 143 (23.3%) patients. Prevalence of GDM was higher in the first-trimester fasting blood sugar (FBS) > 90 qmg/dl group (p < 0.001). Comparison of the GDM and the normal glucose tolerance test groups demonstrated significant differences in maternal age, first-trimester FBS, third-trimester vitamin D level, maternal platelet count, maternal body mass index (BMI) (before 12 wk of gestation), weight gain during pregnancy, and the history of gestational complications in previous pregnancy (p < 0.01). In logistic regression, GDM was independently associated with older maternal age, higher first-trimester FBS, the history of gestational complications in previous pregnancy, lower third-trimester vitamin D level, and higher maternal platelet count (p < 0.01).

CONCLUSION

Both patients with higher initial FBS and the history of gestational complications in previous pregnancy should be considered high risk for GDM and screened earlier.

Value of fasting plasma glucose to screen gestational diabetes mellitus before the 24th gestational week in women with different pre-pregnancy body mass index

BACKGROUND

Gestational diabetes mellitus (GDM) is usually diagnosed between 24th and 28th gestational week using the 75-g oral glucose tolerance test (OGTT). It is difficult to predict GDM before 24th gestational week because fast plasma glucose (FPG) decreases as the gestational age increases. It is controversial that if FPG ≥5.1 mmol/L before 24th gestational week should be intervened or not. The aim of this study was to evaluate the value of FPG to screen GDM before 24th gestational week in women with different pre-pregnancy body mass index (BMI).

METHODS

This was a multi-region retrospective cohort study in China. Women who had a singleton live birth between June 20, 2013 and November 30, 2014, resided in Beijing, Guangzhou and Chengdu, and received prenatal care in 21 selected hospitals, were included in this study. Pre-pregnancy BMI, FPG before the 24th gestational week, and one-step GDM screening with 75 g-OGTT at the 24th to 28th gestational weeks were extracted from medical charts and analyzed. The pregnant women were classified into four groups based on pre-pregnancy BMI: Group A (underweight, BMI < 18.5 kg/m), Group B (normal, BMI 18.5-23.9 kg/m), Group C (overweight, BMI 24.0-27.9 kg/m) and Group D (obesity, BMI ≥28.0 kg/m). The trend of FPG before 24th week of gestation was described, and the sensitivity and specificity of using FPG before the 24th gestational week to diagnose GDM among different pre-pregnancy BMI groups were reported. Differences in the means between groups were evaluated using independent sample t-test and analysis of variance. Pearson Chi-square test was used for categorical variables.

RESULTS

The prevalence of GDM was 20.0% (6806/34,087) in the study population. FPG decreased gradually as the gestational age increased in all pre-pregnancy BMI groups until the 19th gestational week. FPG was higher in women with higher pre-pregnancy BMI. FPG before the 24th gestational week and pre-pregnancy BMI could be used to predict GDM. The incidence of GDM in women with FPG ≥5.10 mmol/L in the 19th to 24th gestational weeks and pre-pregnancy overweight or obesity was significantly higher than that in women with FPG ≥5.10 mmol/L and pre-pregnancy BMI <24.0 kg/m (78.5% [62/79] vs. 52.9% [64/121], χ = 13.425, P < 0.001).

CONCLUSIONS

FPG decreased gradually as the gestational age increased in all pre-pregnancy BMI groups until the 19th gestational week. Pre-pregnancy overweight or obesity was associated with an increased FPG value before the 24th gestational week. FPG ≥5.10 mmol/L between 19 and 24 gestational weeks should be treated as GDM in women with pre-pregnancy overweight and obesity.

Prevalence and risk factors of gestational diabetes mellitus in Asia: a systematic review and meta-analysis

BACKGROUND

Gestational diabetes mellitus (GDM) is a of the major public health issues in Asia. The present study aimed to determine the prevalence of, and risk factors for GDM in Asia via a systematic review and meta-analysis.

METHODS

We systematically searched PubMed, Ovid, Scopus and ScienceDirect for observational studies in Asia from inception to August 2017. We selected cross sectional studies reporting the prevalence and risk factors for GDM. A random effects model was used to estimate the pooled prevalence of GDM and odds ratio (OR) with 95% confidence interval (CI).

RESULTS

Eighty-four studies with STROBE score ≥ 14 were included in our analysis. The pooled prevalence of GDM in Asia was 11.5% (95% CI 10.9-12.1). There was considerable heterogeneity (I2 > 95%) in the prevalence of GDM in Asia, which is likely due to differences in diagnostic criteria, screening methods and study setting. Meta-analysis demonstrated that the risk factors of GDM include history of previous GDM (OR 8.42, 95% CI 5.35-13.23); macrosomia (OR 4.41, 95% CI 3.09-6.31); and congenital anomalies (OR 4.25, 95% CI 1.52-11.88). Other risk factors include a BMI ≥25 kg/m2 (OR 3.27, 95% CI 2.81-3.80); pregnancy-induced hypertension (OR 3.20, 95% CI 2.19-4.68); family history of diabetes (OR 2.77, 2.22-3.47); history of stillbirth (OR 2.39, 95% CI 1.68-3.40); polycystic ovary syndrome (OR 2.33, 95% CI1.72-3.17); history of abortion (OR 2.25, 95% CI 1.54-3.29); age ≥ 25 (OR 2.17, 95% CI 1.96-2.41); multiparity ≥2 (OR 1.37, 95% CI 1.24-1.52); and history of preterm delivery (OR 1.93, 95% CI 1.21-3.07).

CONCLUSION

We found a high prevalence of GDM among the Asian population. Asian women with common risk factors especially among those with history of previous GDM, congenital anomalies or macrosomia should receive additional attention from physician as high-risk cases for GDM in pregnancy.

TRIAL REGISTRATION

PROSPERO (2017: CRD42017070104 ).

Estimation of gestational diabetes mellitus and dose-response association of BMI with the occurrence of diabetes mellitus in pregnant women of the west of Iran

The authors aim to investigate the GDM and the dose-response association of BMI with it in pregnant women in Kermanshah, Iran. During the 2015-2016 year, the 1010 pregnant women were studied. The restricted cubic spline method was used to evaluate the relationship between BMI and GDM. The risk of GDM was 10.1%. The incidence rate ratio for GDM indicates a non-significant protective effect and, then a significant risk for GDM occurrence along with BMI. BMI can be used as a predictive factor. A healthy diet and recommended levels of physical activity are suggested to prevent overweight and obesity and subsequent GDM.

Angiopoietin-like protein 8 in early pregnancy improves the prediction of gestational diabetes

AIMS/HYPOTHESIS

Screening high-risk individuals for gestational diabetes mellitus (GDM) in early pregnancy conventionally relies on established maternal risk factors; however, the sensitivity and specificity of these factors are not satisfactory. The present study aimed to determine whether the concentration of angiopoietin-like protein 8 (ANGPTL8), either alone or combined with other risk factors in early pregnancy, could be used to predict subsequent GDM.

METHODS

From August 2015 to January 2016, 474 women receiving prenatal care at around 12-16 weeks of gestation were recruited into the study. ANGPTL8 levels were measured at the first prenatal visit. All the participants received a 75 g OGTT during weeks 24-28 of gestation.

RESULTS

ANGPTL8 levels in early pregnancy were considerably higher in women who developed GDM than those who maintained normal glucose tolerance (2822 ± 938 vs 2120 ± 1118 pg/ml, respectively; p < 0.0001). Multivariable logistic regression revealed that ANGPTL8 levels were significantly associated with risk of GDM independent of conventional risk factors. In addition, women in the highest quartile of ANGPTL8 concentration had an 8.75-fold higher risk of developing GDM compared with women in the lowest quartile (OR8.75, 95%CI 2.43, 31.58). More importantly, incorporating ANGPTL8 into the conventional prediction model significantly increased the AUC for prediction of GDM (0.772vs 0.725; p = 0.019).

CONCLUSIONS

Our study suggests that ANGPTL8 levels in early pregnancy are significantly and independently associated with risk of GDM at 24-28 weeks of gestation. Combining ANGPTL8 levels with conventional risk factors could thus improve the prediction of GDM.