Prediction of long-term major adverse cardiac events after myocardial infarction: value of combination of inflammatory biomarkers and GRACE score
Dan Tian, Nianxi Yu, Tianxiao Mao, Yanli Li, Ruiyan Liu, Ye Xu, Dong Huang, Qianzhou Lv, Kunming Pan

TL;DR
This study shows that combining inflammatory biomarkers with the GRACE score improves prediction of major cardiac events after heart attacks.
Contribution
The novel contribution is demonstrating that sIL-2R and IL-8, when combined with the GRACE score, enhance risk prediction for MI patients.
Findings
Elevated sIL-2R and IL-8 levels independently predict major adverse cardiac events after myocardial infarction.
Combining sIL-2R, IL-8, and GRACE score improves predictive performance with an AUC of 0.824.
The predictive value of sIL-2R and IL-8 remains significant after adjusting for cardiovascular risk factors.
Abstract
This study aims to investigate the prognostic value of integrating inflammatory biomarkers with the established Global Registry of Acute Coronary Events (GRACE) risk score for predicting clinical outcomes in patients with myocardial infarction (MI). This prospective, single-center study enrolled adult MI patients admitted to the coronary care unit at Zhongshan Hospital, Fudan University. Blood samples were collected to measure inflammatory markers (IL-1β, sIL-2R, IL-6, IL-8) and myocardial biomarkers. The Gensini score and GRACE score were calculated for each patient. The primary endpoint was the post-MI occurrence of a composite of major adverse cardiovascular events (MACE), including cardiovascular death, non-fatal MI, and non-fatal ischemic stroke. Predictive performance of biomarkers was evaluated using Kaplan–Meier survival curves, Cox regression analysis, and receiver operating…
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Taxonomy
TopicsAcute Myocardial Infarction Research · Biomarkers in Disease Mechanisms · Cardiac Imaging and Diagnostics
