Evidence map›Paper›PMID 42095210›Full record

ArticleInternational journal of general medicine2026

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

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

Abstract read
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Article in International journal of general medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xiaoying Wang *Department of Pharmacy, Fuyang People's Hospital, Fuyang, Anhui, 236000, People's Republic of China.
Yuanyuan Ning *Department of Clinical Laboratory, the First Affiliated Hospital of Wannan Medical College (Yijishan Hospital), Wuhu, 241000, People's Republic of China.
Xiaojuan WangDepartment of Pharmacy, Fuyang People's Hospital, Fuyang, Anhui, 236000, People's Republic of China.
Guangli LiDepartment of Pharmacy, Fuyang People's Hospital, Fuyang, Anhui, 236000, People's Republic of China.
Dong WuDepartment of Pharmacy, Fuyang People's Hospital, Fuyang, Anhui, 236000, People's Republic of China.
Xiaowu WangDepartment of Clinical Laboratory, The Second People's Hospital of Fuyang, Fuyang Infection Disease Clinical College of Anhui Medical University, Fuyang, Anhui, 236000, People's Republic of China.
Zhen HuangDepartment of Scientific Research, Fuyang People's Hospital, Fuyang, Anhui, 236000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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: Bleeding occurred in 83 patients (24.56%), with 63 in‑hospital events (18.64%) and 34 out‑of‑hospital events (10.06%). The majority were mild (BARC type 1, 82.54% in‑hospital; 73.53% out‑of‑hospital). The combined GRACE + ARC‑HBR model achieved an area under the ROC curve (AUC) of 0.774 (95% CI 0.726-0.818), compared with 0.712 (95% CI 0.660-0.759) for GRACE alone and 0.667 (95% CI 0.614-0.717) for ARC‑HBR alone. Versus GRACE, the combined model showed a non‑significant NRI (-0.0509; P = 0.0945) but a significant IDI (0.0560; P = 0.0006). Versus ARC‑HBR, both NRI (0.3277; P = 0.0007) and IDI (0.0768; P < 0.0001) were significantly positive. DCA demonstrated the highest net benefit for the combined model across most threshold probabilities. The calibration curve yielded a Brier score of 0.147, and the Hosmer-Lemeshow test confirmed good calibration (χ 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.

Indexed as

acute ST-elevation myocardial infarctionARC-HBR criteriableedingGRACE scorepercutaneous coronary intervention

Identifiers

PMID42095210
PMCPMC13142719

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.