First Trimester Screening for Gestational Diabetes Mellitus with Maternal Factors and Biomarkers
Issued Date
2022-01-01
Resource Type
eISSN
14219964
Scopus ID
2-s2.0-85136044208
Pubmed ID
35671743
Journal Title
Fetal diagnosis and therapy
Volume
49
Issue
5-6
Start Page
256
End Page
264
Rights Holder(s)
SCOPUS
Bibliographic Citation
Fetal diagnosis and therapy Vol.49 No.5-6 (2022) , 256-264
Suggested Citation
Shen L., Sahota D.S., Chaemsaithong P., Tse W.T., Chung M.Y., Ip J.K.H., Leung T.Y., Poon L.C.Y. First Trimester Screening for Gestational Diabetes Mellitus with Maternal Factors and Biomarkers. Fetal diagnosis and therapy Vol.49 No.5-6 (2022) , 256-264. 264. doi:10.1159/000525384 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/86304
Title
First Trimester Screening for Gestational Diabetes Mellitus with Maternal Factors and Biomarkers
Other Contributor(s)
Abstract
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.