Biomarker-based risk model to predict cardiovascular events in patients with acute coronary syndromes - Results from BIPass registry.

ABSTRACT:

Background

Risk models integrating new biomarkers to predict cardiovascular events in acute coronary syndromes (ACS) are lacking. Therefore, we evaluated the prognostic value of biomarkers in addition to clinical predictors and developed a biomarker-based risk model for major adverse cardiovascular events (MACE) within 12 months after hospital admission with ACS.

Methods

Patients (n = 4407) consecutively enrolled from November, 2017 to October, 2019 in three hospitals of a prospective Chinese registry (BIomarker-based Prognostic Assessment for Patients with Stable Angina and Acute Coronary Syndromes, BIPass) were designated as the risk model development cohort. Validation was performed in 1409 patients enrolled in two independent hospitals. Cox proportional hazards re

SUBMITTER: Wang J 

PROVIDER: S-EPMC9160492 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature