Prediction models for major adverse cardiovascular events following ST-segment elevation myocardial infarction and subgroup-specific performance.

ABSTRACT:

Background

ST-segment elevation myocardial infarction (STEMI) patients are at a high residual risk of major adverse cardiovascular events (MACEs) after revascularization. Risk factors modify prognostic risk in distinct ways in different STEMI subpopulations. We developed a MACEs prediction model in patients with STEMI and examined its performance across subgroups.

Methods

Machine-learning models based on 63 clinical features were trained in patients with STEMI who underwent PCI. The best-performing model (the iPROMPT score) was further validated in an external cohort. Its predictive value and variable contribution were studied in the entire population and subgroups.

Results

Over 2.56 and 2.84 years, 5.0% and 8.33% of patients experienced MACEs in the derivation and ex

SUBMITTER: Chen W 

PROVIDER: S-EPMC10167292 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature