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Early Prediction of Gestational Diabetes in High-risk Women Based on Breath Metabolomics

Not yet recruiting
Conditions
Gestational Diabetes
Registration Number
NCT06753734
Lead Sponsor
Tianjin Central Hospital of Gynecology Obstetrics
Brief Summary

This study aim to develope novel breath markers of gestational diabetes through a prospective high-risk population cohort study and achieve early prediction of gestational diabetes based on an interpretable machine learning model.

Detailed Description

Not available

Recruitment & Eligibility

Status
NOT_YET_RECRUITING
Sex
Female
Target Recruitment
600
Inclusion Criteria
  • 18-55 years old, 11-14 weeks of pregnancy, at least one risk factor for GDM, signed a written informed consent
Exclusion Criteria
  • Diabetes mellitus or abnormal glucose metabolism before pregnancy; Hyperemesis gravidarum (urine ketone positive)); Thyroid dysfunction; Asthmatic patients;Hypertensive diseases that are difficult to control;Severe hepatic and renal insufficiency or severe electrolyte disturbance; Malignant tumor;Acute inflammation;lung disease; Patients with gastritis, duodenum and other digestive system diseases;Those with upper respiratory or oral problems who cannot cooperate with expiratory collection;smoker

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Incidence of gestational diabetes mellitus24-28 weeks gestation
Secondary Outcome Measures
NameTimeMethod
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