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Glycated Albumin Combined With Body Composition for Gestational Diabetes Mellitus Prediction

Gestational Diabetes Mellitus in Pregnancy Clinical Trial

Official title:
The Predictive Ability of Glycated Albumin Combined With Body Composition for Gestational Diabetes Mellitus Diagnosis

Clinical Trial Summary

This study is going to investigate the predictive ability of glycated albumin combined with body composition, including body weight, BMI, fat free mass and fat mass for gestational diabetes mellitus (GDM) diagnosis.

Clinical Trial Description

The prevalence of GDM is increasing all over the world. It has bad influence for both pregnant women and fetus. Early treatment is useful for GDM prevention. Therefore early screening is important for healthcare doctors to detect the potential patients. Glycated albumin (GA) is an optimal index for blood glucose evaluation compared to HbA1c, however it may be influenced by body weight and composition. The investigators are going to investigate the predictive ability of glycated albumin combined with body composition, including body weight, BMI, fat free mass and fat mass for gestational diabetes mellitus (GDM) diagnosis. This study recruit pregnant women before 12 weeks of their pregnant age and test GA level and body composition via bioelectrical impedance analysis. During 24-28 weeks of pregnant age, all participants will do the glucose tolerant test for GDM diagnosis. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT04550806
Study type Observational
Source Peking Union Medical College Hospital
Contact Kang Yu, MD
Phone +8613801130457
Email yuk1997@sina.com
Status Recruiting
Phase
Start date October 1, 2020
Completion date July 1, 2021
View Details
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