Development and validation of a triglyceride-glucose integrated nomogram for acute kidney injury prediction in acute myocardial infarction patients: a multicenter database study.

ABSTRACT:

Background

Acute kidney injury (AKI) is a life-threatening complication in patients with acute myocardial infarction (AMI), leading to increased morbidity and mortality. Early prediction of high-risk patients remains a clinical challenge.

Methods

We developed and validated a predictive model for AKI using data from two large critical care databases: MIMIC-IV (n = 1,227) and eICU (n = 1,954). Least absolute shrinkage and selection operator (LASSO) regression and multivariable logistic regression were applied to identify independent predictors. A nomogram was constructed incorporating the triglyceride-glucose (TyG) index and clinical variables.

Results

Seven predictors were included in the final model: TyG index, blood urea nitrogen (BUN), SOFA score, age,

SUBMITTER: Zhang X 

PROVIDER: S-EPMC12436489 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature