Title:Accuracy of Fasting Blood Glucose and Body Mass Index in Predicting
Gestational Diabetes Mellitus in China
Volume: 24
Issue: 8
Author(s): Jing-Ru Jiao, Ya-Na Gao, Ling-Chao Wang, Jing Wang*, Wei-Jing Jia, Hui-Ling Xue, Rui Li, Hong-Li Wu and Mei-Mei Wang
Affiliation:
- Department of Obstetrics and Gynecology, Affiliated Hospital of Hebei University, Baoding 071000, Hebei, China
Keywords:
Body mass index, fasting blood glucose, gestational diabetes mellitus, prediction, hemoglobin, BMI parameter.
Abstract:
Background: Research suggests that lowering maternal morbidities associated with
gestational diabetes mellitus (GDM) can be achieved with earlier risk group identification.
Aims: Therefore, the purpose of this study was to examine potential markers for identifying
first-trimester pregnant women who are at high risk for developing GDM.
Methods: This was a retrospective cohort study. The pertinent maternal clinical data were retrieved
prior to 13+6 weeks of gestation, and a binary logistic regression analysis was used to
identify potential GDM predictors. The predictive accuracy was evaluated using the area below
the receiver operating characteristics curves.
Results: In comparison to the control group, the GDM group had significantly higher mean values
for age, body mass index (BMI), mean fasting blood glucose (FBG), and hemoglobin (p <
0.05). The Pearson’s correlation coefficients indicated that the first-trimester FBG was significantly
positively correlated with the second-trimester FBG. Higher FBG and BMI values were
associated with an increased risk of developing GDM (odds ratio (OR) = 3.04, 95% confidence
interval [CI] = 2.03-4.55 and OR = 1.18, 95% CI = 1.12–1.25). In terms of predicting GDM, the
FBG parameter demonstrated the greatest area under the curve values (0.66), followed by the
BMI parameter (0.69). For GDM prediction, the cut-off value for FBG was 4.32 mM, whereas
that for BMI was 23.7 kg/m2.
Conclusion: The first-trimester FBG and BMI could be utilized to predict gestational diabetes.
