Multiple biomarkers risk score for accurately predicting the long-term prognosis of patients with acute coronary syndrome.

ABSTRACT:

Background

Biomarkers-based prediction of long-term risk of acute coronary syndrome (ACS) is scarce. We aim to develop a risk score integrating clinical routine information (C) and plasma biomarkers (B) for predicting long-term risk of ACS patients.

Methods

We included 2729 ACS patients from the OCEA (Observation of cardiovascular events in ACS patients). The earlier admitted 1910 patients were enrolled as development cohort; and the subsequently admitted 819 subjects were treated as validation cohort. We investigated 10-year risk of cardiovascular (CV) death, myocardial infarction (MI) and all cause death in these patients. Potential variables contributing to risk of clinical events were assessed using Cox regression models and a score was derived using main part of these v

SUBMITTER: Zhang ZY 

PROVIDER: S-EPMC12394956 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature