Early prediction of late-pregnancy hypertriglyceridemia in women with gestational diabetes: development and internal validation of a clinical risk model

Category	Detail
Condition	Gestational Diabetes Mellitus (GDM) with Hypertriglyceridemia (HTG)
Key Mechanisms	Insulin resistance leading to increased lipolysis and elevated triglyceride levels.
Target Population	Women diagnosed with gestational diabetes mellitus (GDM).
Care Setting	Clinical risk assessment and management in obstetric care.

Incidence of late-pregnancy HTG in the study cohort was 32.7%.
The final prediction model included five key predictors: pre-gravid BMI, fasting plasma glucose, 1-hour post-load glucose, first-trimester triglycerides, and HDL-C.
The model demonstrated good discrimination with an AUC of 0.816 in the internal test set.
Bootstrap validation indicated limited optimism in model performance.
Decision curve analysis supported clinical utility across relevant thresholds.

Utilize the prediction model for individualized risk stratification and targeted monitoring.

Monitor triglyceride levels in women identified as high-risk for late-pregnancy HTG.

Elevated triglyceride levels are associated with adverse maternal and neonatal outcomes, including macrosomia and preterm birth.

Women diagnosed with GDM during mid-pregnancy.

Early identification of high-risk individuals may facilitate timely intervention and management.

Implement routine lipid profiling in women with GDM.
Use the developed prediction model at the time of GDM diagnosis for risk assessment.
Consider individualized monitoring strategies based on risk stratification.

Clinical Scorecard: Predicting Late-Pregnancy Hypertriglyceridemia in Gestational Diabetes: Creation and Internal Validation of a Clinical Risk Assessment Model