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Utilizing Continuous Glucose Monitoring for Early Detection of Gestational Diabetes and Pregnancy Outcomes in an Asian Population

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posted on 2024-09-05, 15:50 authored by Beth S.Y. Lim, Qian Yang, Mahesh Choolani, Daphne S.L. Gardner, Yap Seng Chong, Cuilin Zhang, Shiao-Yng Chan, Ling-Jun Li
<p dir="ltr"><u>Objective</u></p><p dir="ltr">We explored continuous glucose monitoring’s (CGM) potential value in early pregnancy in predicting gestational diabetes mellitus (GDM) and pregnancy outcomes.</p><p dir="ltr"><u>Research Design and Methods</u></p><p dir="ltr">One hundred and three multi-ethnic Asian pregnant women with overweight/obesity were recruited from a hospital-based, prospective cohort. All of them had worn blinded CGM devices in early pregnancy and underwent the universal GDM screening at 24-28 gestation weeks. Models were selected based on early pregnancy risk factors and CGM-derived parameters to compare their respective predictive values for GDM and pregnancy outcomes.</p><p dir="ltr"><u>Results</u></p><p dir="ltr">Eighteen GDM cases were ascertained. CGM-derived novel parameters demonstrated greater performance (e.g., AUC: 0.953 vs. 0.722) for predicting incident GDM, compared with the model using traditional risks. Such novel CGM-derived parameters significantly differentiated primary cesarean and large-for-gestational-age babies.</p><p dir="ltr"><u>Conclusions</u></p><p dir="ltr">Our data suggests CGM's potential clinical utility in the first trimester for predicting GDM and adverse pregnancy outcomes, particularly in overweight or obese individuals.</p>

Funding

This work was supported by the Singapore National Medical Research Council (NMRC) (NMRC/CSAINV20nov-0002/MOH-000711).

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