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Risk Prediction of Gestational Diabetes Treatment Modalities Utilizing Clinical and Laboratory Data in the EHR – DUPLICATED DO NOT ACTIVATE

This study will utilize data from the Kaiser Permanente Northern California Gestational Diabetes and Pregnancy Glucose Tolerance Registry for a cohort of 25,000 women diagnosed with gestational diabetes. The goal is to determine whether clinical and laboratory factors can be utilized to predict treatment modalities for this disease (insulin versus glyburide and/or medical nutrition therapy). NIH-funded UCSF-Kaiser Building Interdisciplinary Research Careers in Women’s Health (K12) grant.

Investigator: Zhu, Yeyi

Funder: National Institutes of Health

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