期刊
FETAL DIAGNOSIS AND THERAPY
卷 49, 期 5-6, 页码 256-264出版社
KARGER
DOI: 10.1159/000525384
关键词
Gestational diabetes mellitus; Prediction; First trimester; Biomarker; Screening
资金
- Faculty of Medicine, The Chinese University of Hong Kong
This study aimed to identify risk factors for the development of gestational diabetes mellitus (GDM) using a prediction model that combines maternal characteristics, obstetric history, and preeclampsia-specific biomarkers. The results showed that the prediction model combining maternal characteristics and obstetric history had better performance than the models using only maternal characteristics or preeclampsia-specific biomarkers. The inclusion of mean arterial pressure (MAP) did not improve the screening performance for GDM. Further studies are needed to explore the effect of blood pressure control on preventing GDM from early pregnancy.
Introduction: This study aimed to identify risk factors among maternal characteristics, obstetric history, and first trimester preeclampsia-specific biomarkers that were associated with subsequent development of gestational diabetes mellitus (GDM) and evaluate the performance of the prediction models. Methods: This study was a secondary analysis of a prospective cohort study. The performance of the prediction models was assessed by area under the receiver operating characteristic curve (AUROC). Results: A total of 837 (8.9%) cases of GDM and 8,535 (91.1%) unaffected cases were included. The AUROC of the prediction model combining maternal characteristics and obstetric history (0.735) was better than that of the model utilizing maternal characteristics (AUROC 0.708) and preeclampsia-specific biomarkers (AUROC 0.566). Among the preeclampsia-specific biomarkers, the mean arterial pressure (MAP) contributed to the increasing risk of GDM; however, its addition did not improve the AUROC of the model combining maternal characteristics and obstetric history (0.738). Conclusion: The first trimester prediction model for GDM with maternal characteristics and obstetric history achieves moderate predictability. The inclusion of MAP in the model combining maternal characteristics and obstetric history does not improve the screening performance for GDM. Future studies are needed to explore the effect of blood pressure control from early pregnancy on preventing GDM.
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