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Introduction: GDM affects 8-10% of pregnancies in the US and nearly 50% of these women have subsequent diabetes diagnosis. However, research on the prognostic factors of T2D incidence among women with GDM is scarce, due to the limited sample sizes. We aim 1) to construct a large electronic cohort of GDM and 2) to build a prognostic model for T2D incidence among patients with GDM. Methods: We extracted EMRs of patients diagnosed with GDM between 2016 and 2022 from two health systems in NYC: Montefiore (MMC) and Mt. Sinai. Only MMC patients were analyzed in this report. Prognostic factors during pregnancy included 32 baseline 0.00001). The risk was associated with higher BMI during pregnancy, insulin or oral-agent control compared to diet therapy, younger gestational age at GDM diagnosis, and Caesarean delivery. Lab findings associated with T2D risk included maternal glucose levels, erythrocyte MCH, monocytes, and ketone. T2D incidence was also associated with prescription of insulin therapy, oral treatment, aspirin, and iron supplements likely indicating underlying obstetric complications. Conclusions: A large electronic cohort of GDM patients identified potential prognostic factors of subsequent T2D. Future directions include calibration of 2 cohorts to establish the largest electronic cohort of GDM to date and building prognostic models for T2D risk. Disclosure R.S. Kim: None. L. Li: None. C.R. Isasi: None. A. Philis-Tsimikas: Advisory Panel; Dexcom, Inc., Lilly Diabetes, Novo Nordisk, Sanofi, Medtronic, Bayer Inc. J. Moon: None. J. Liu: None. D.S. Wolfe: None. C.J. Levy: Research Support; Dexcom, Inc. Consultant; Dexcom, Inc. Research Support; MannKind Corporation, T1D Exchange, Tandem Diabetes Care, Inc., Abbott, Insulet Corporation. Funding New York Regional Center for Diabetes Translation Research Pilot & Feasibility Project
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