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

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A clinical risk prediction model was developed to estimate late-pregnancy hypertriglyceridemia in women diagnosed with gestational diabetes mellitus.
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The study included 587 women with gestational diabetes, using demographic and clinical data collected at or before diagnosis.
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The final model identified five predictors: pre-gravid BMI, fasting plasma glucose, 1-hour post-load glucose, first-trimester triglycerides, and HDL-C.
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The model demonstrated good performance with an AUC of 0.816 in the internal test set and limited optimism in bootstrap validation.
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External validation in independent cohorts is necessary before clinical implementation of the prediction model for late-pregnancy hypertriglyceridemia.

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