NCT05670548

Early Prediction of Postpartum Glucose Metabolism Abnormalities in Gestational Diabetes Mellitus

Early Prediction of Postpartum Glucose Metabolism Abnormalities in Gestational Diabetes Mellitus Based on Gestational Metabolic Profile and Lipid Profile

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 2,000 (estimated)
• Sponsor: Women's Hospital School Of Medicine Zhejiang University · Academic / Other
• Sex: Female
• Age: 20 Years – 49 Years
• Healthy volunteers: Accepted

Summary

This project is expected to screen reliable serum markers in pregnant women with gestational diabetes mellitus (GDM) by using metabolic profiling and lipid profiling clinical high-throughput mass spectrometry technology. We intend to build an early pregnancy prediction model for postpartum glucose metabolism abnormalities of GDM. At the same time, this project plans to develop a predictive management system based on this model, so that it can be widely used in clinical detection process, realize the advance of the early warning window period of abnormal glucose metabolism, and provide theoretical guidance for the early postpartum blocking of GDM to the outcome of abnormal glucose metabolism.

Conditions

• Gestational Diabetes Mellitus

Interventions

Type	Name	Description
OTHER	Questionnaire survey and specimen collection	A questionnaire survey was conducted when pregnant women were enrolled, and blood were collected at 24-28 gestational weeks. Placenta and umbilical cord blood are collected during delivery.

Timeline

• Start date: 2023-01-01
• Primary completion: 2023-12-31
• Completion: 2025-12-31
• First posted: 2023-01-04
• Last updated: 2023-01-04

Locations

1 site across 1 country: China