TG to HDL-C ratio

By Anonymous (not verified) , 13 November 2025
Disease's type
GDM
Experimental grouping
GDM(n=272),Normal Glucose Tolerance(n=1017)
GPT's summary
This study aimed to develop a simplified screening model to identify pregnant Chinese women at risk of gestational diabetes mellitus (GDM) in the first trimester. The study included 1,289 pregnant women and utilized logistic regression to select predictors, including maternal age, prepregnancy body mass index (BMI), family history of diabetes, fasting blood glucose, the alanine transaminase to aspartate aminotransferase ratio (ALT/AST), and the triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-C). The model demonstrated good performance in both discrimination and calibration, with a receiver operating characteristic area under the curve (ROC-AUC) of 0.825 for the logistic regression model and 0.784 for the simplified model. The model outperformed three other published models. This simplified screening model provides a practical tool for early identification of women at high risk of GDM, though further validation is needed in other populations.
RF's name
Triglyceride to High Density Lipoprotein Cholesterol ratios
Sample's type
Serum
Gestational weeks
6th to 12th gestational weeks
Experiemental methods
Enzymatic Methods
Machine learning algorithms
logistic regression
Title
A Simplified Screening Model to Predict the Risk of Gestational Diabetes Mellitus in Pregnant Chinese Women
Evidence's type
Risk factor
Year
2023
Journal
Diabetes Therapy