Prognostic utility of a multi-biomarker panel in patients with suspected myocardial infarction.

ABSTRACT:

Background

The accurate identification of patients with high cardiovascular risk in suspected myocardial infarction (MI) is an unmet clinical need. Therefore, we sought to investigate the prognostic utility of a multi-biomarker panel with 29 different biomarkers in in 748 consecutive patients with symptoms indicative of MI using a machine learning-based approach.

Methods

Incident major cardiovascular events (MACE) were documented within 1 year after the index admission. The selection of the best multi-biomarker model was performed using the least absolute shrinkage and selection operator (LASSO). The independent and additive utility of selected biomarkers was compared to a clinical reference model and the Global Registry of Acute Coronary Events (GRACE) Score, respectively.

SUBMITTER: Toprak B 

PROVIDER: S-EPMC11579167 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature