Disease's type
GDM
Experimental grouping
GDM(n=142),Normal Glucose Tolerance(n=442)
GPT's summary
This research evaluated the predictive value of maternal coagulation function and glycolipid metabolism indicators in early pregnancy for diagnosing GDM. By analyzing data from 584 pregnant women, the authors found that several biomarkers, including pre-pregnancy BMI, FPG, APTT, TT, TG, LDL-C, sdLDL-C, and APOB, are significant predictors of GDM. They developed a prediction model using these indicators, which demonstrated high accuracy, sensitivity, and specificity for early GDM diagnosis.
RF's name
Activated Partial Thromboplastin Time
Sample's type
Plasma
Gestational weeks
10th to 13th gestational weeks
Experiemental methods
Coagulation Method
Machine learning algorithms
Logistic Regression
Title
Application Value of Predictive Model Based on Maternal Coagulation Function and Glycolipid Metabolism Indicators in Early Diagnosis of Gestational Diabetes Mellitus
Evidence's type
Risk factor
Year
2022
Journal
Frontiers in Public Health
PMID