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Context: Women with gestational diabetes have excessive fetus growth weeks earlier than the screening period recommended currently, suggesting that earlier screening and intervention may improve pregnancy outcomes and the health of the offspring.
Objective: To determine if early screening and intervention could alter pregnancy outcomes, the incidence of maternal diabetes after delivery, and growth and development of the offspring, compared to the standard group.
Design, Setting, Participants: We will conduct a multi-center open-label randomized controlled trial in 2068 pregnant women, who deliver a singleton and who have not been diagnosed with overt diabetes mellitus at National Taiwan University Hospital (NTUH) and NTUH Hsinchu Branch from 2018 to 2020.
Interventions: Gestational diabetes mellitus (GDM) is diagnosed by a 75g 2-hour OGTT at 18-20 weeks of GA for the early-screening group and at 24-28 weeks for the standard-screening group. The diagnostic cutoffs are according to the IADPSG criteria. GDM is diagnosed if one of the plasma glucose levels at fasting, 1-hour, and 2-hour during OGTT is above 92 mg/dL, 180 mg/dL, or 153 mg/dL respectively. Subjects who are diagnosed with GDM receive lifestyle intervention and self-monitoring of blood glucose. Pharmacological therapies are given when the target of glycemic control is not achieved within 4-6 weeks.
Main Outcome Measure: The primary outcome is a composite measure of pregnancy outcomes, including primary CS, birth weight >90th percentile, neonatal hypoglycemia, cord serum C-peptide >90th percentile, pregnancy-induced hypertension, preeclampsia, and birth trauma. The primary outcome is measured within the entire period of perinatal and neonatal intensive-care units (NICU) stay for infants and the entire period of gestation for pregnant women after randomization.
Conclusion: This study will test our hypothesis that early screening and intervention of GDM improves pregnancy outcomes as compared to standard practice.
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967 participants in 2 patient groups
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Hung-Yuan Li, Ph.D.
Data sourced from clinicaltrials.gov
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