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

Authors :
Wang, Jiali
Gao, Wei
Chen, Guanghui
Chen, Ming
Wan, Zhi
Zheng, Wen
Ma, Jingjing
Pang, Jiaojiao
Wang, Guangmei
Wu, Shuo
Wang, Shuo
Xu, Feng
Chew, Derek P.
Chen, Yuguo
Source :
The Lancet Regional Health - Western Pacific; August 2022, Vol. 25 Issue: 1
Publication Year :
2022

Abstract

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.

Details

Language :
English
ISSN :
26666065
Volume :
25
Issue :
1
Database :
Supplemental Index
Journal :
The Lancet Regional Health - Western Pacific
Publication Type :
Periodical
Accession number :
ejs59590764
Full Text :
https://doi.org/10.1016/j.lanwpc.2022.100479