The Combined Predictive Value of the GRACE Score and the ARC-HBR Criteria for Bleeding Risk After Percutaneous Coronary Intervention in STEMI Patients

Objective: To evaluate the incremental predictive value of the Global Registry of Acute Coronary Events (GRACE) score combined with the Academic Research Consortium for High Bleeding Risk (ARC-HBR) criteria for bleeding risk after percutaneous coronary intervention (PCI) in patients with ST‑segment elevation myocardial infarction (STEMI). Methods: This prospective observational study enrolled 338 STEMI patients who underwent their first PCI at Fuyang People's Hospital from January 2023 to March 2024. Bleeding events were defined according to the Bleeding Academic Research Consortium (BARC) types 1-5. Patients were stratified by GRACE score (low/middle/high) and ARC‑HBR status (high/low). The predictive performance of the model was assessed using receiver operating characteristic (ROC) curves, net reclassification improvement (NRI), integrated discrimination improvement (IDI), decision curve analysis (DCA), and calibration plots. Internal validation was performed via bootstrap resampling (1,000 iterations). Results: =3.568, P=0.8938). Bootstrap internal validation produced a bias‑corrected AUC of 0.775. Conclusion: Compared with either score alone, the combination of the GRACE score and the ARC-HBR criteria provides incremental predictive value for post-PCI bleeding in STEMI patients.

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Publication Details

Journal
International Journal of General Medicine
Published
2026-05-01
DOI
https://doi.org/10.2147/ijgm.s605618
Primary Topic
Acute Myocardial Infarction Research
Type
article
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article

The Combined Predictive Value of the GRACE Score and the ARC-HBR Criteria for Bleeding Risk After Percutaneous Coronary Intervention in STEMI Patients

Xiaowu Wang, Yuanyuan Ning, Guangli Li, Zhen Huang et al.
International Journal of General Medicine
Acute Myocardial Infarction Research
article

The Combined Predictive Value of the GRACE Score and the ARC-HBR Criteria for Bleeding Risk After Percutaneous Coronary Intervention in STEMI Patients

Xiaowu Wang, Yuanyuan Ning, Guangli Li, Zhen Huang, Dong Wu, Xiaoying Wang, Xiaojuan Wang
article en

Abstract

Objective: To evaluate the incremental predictive value of the Global Registry of Acute Coronary Events (GRACE) score combined with the Academic Research Consortium for High Bleeding Risk (ARC-HBR) criteria for bleeding risk after percutaneous coronary intervention (PCI) in patients with ST‑segment elevation myocardial infarction (STEMI). Methods: This prospective observational study enrolled 338 STEMI patients who underwent their first PCI at Fuyang People's Hospital from January 2023 to March 2024. Bleeding events were defined according to the Bleeding Academic Research Consortium (BARC) types 1-5. Patients were stratified by GRACE score (low/middle/high) and ARC‑HBR status (high/low). The predictive performance of the model was assessed using receiver operating characteristic (ROC) curves, net reclassification improvement (NRI), integrated discrimination improvement (IDI), decision curve analysis (DCA), and calibration plots. Internal validation was performed via bootstrap resampling (1,000 iterations). Results: =3.568, P=0.8938). Bootstrap internal validation produced a bias‑corrected AUC of 0.775. Conclusion: Compared with either score alone, the combination of the GRACE score and the ARC-HBR criteria provides incremental predictive value for post-PCI bleeding in STEMI patients.

International Journal of General MedicineVol. Volume 19
Fuyang City People's Hospital (CN), Fuyang Maternity and Child Health Care Hospital (CN), Fuyang Second People's Hospital (CN), First Affiliated Hospital of Wannan Medical College (CN)
Zero hunger
Openalex Percentile: Top 10%
Acute Myocardial Infarction Research
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The Combined Predictive Value of the GRACE Score and the ARC-HBR Criteria for Bleeding Risk After Percutaneous Coronary Intervention in STEMI Patients — Xiaowu Wang, Yuanyuan Ning, et al. · International Journal of General Medicine (2026) | TGRS Research Map | TGRS