C-reactive protein-triglyceride glucose index in predicting three-vessel coronary artery disease risk: a retrospective study using machine learning approaches.

ABSTRACT:

Background

Three-vessel coronary artery disease (TVD) is a severe subtype of coronary heart disease, strongly associated with inflammation and metabolic dysfunction. The C-reactive protein-triglyceride glucose index (CTI), an integrated measure of inflammation and metabolism, may serve as a critical predictor of TVD risk. This study evaluates the predictive utility of CTI for TVD.

Methods

This single-center retrospective study compared clinical characteristics, laboratory indices, and inflammation- and metabolism-related markers between TVD and non-TVD groups. Feature selection using the Boruta algorithm and LASSO regression identified key predictors for constructing a TVD risk model. SHAP analysis provided model interpretability and evaluated the relative importance of pred

SUBMITTER: Hou L 

PROVIDER: S-EPMC12624966 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature