Triglyceride-glucose index and mortality in congestive heart failure with diabetes: a machine learning predictive model.

ABSTRACT:

Background

The triglyceride-glucose (TyG) index serves as a marker for insulin resistance. Research exploring the link between the TyG index and adverse outcomes among patients suffering from congestive heart failure (CHF) and diabetes mellitus (DM) is limited. This investigation endeavors to uncover the connection between the TyG index and mortality risk in subjects suffering from CHF and DM.

Methods

We obtained clinical data for patients with CHF and DM from the MIMIC-IV (3.1) database. The optimal cutoff value for the TyG index was determined using X-tile software, and patients were classified into three groups. The primary outcome was 28-day hospital mortality, and the secondary outcome was 28-day ICU mortality. We used restricted cubic splines (RCS), COX regression anal

SUBMITTER: Yu L 

PROVIDER: S-EPMC12568326 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature