Evidence map›Paper›PMID 39498347›Full record

ArticleInternational journal of cardiology. Heart & vasculature2024

The predictive value of the ARC-HBR criteria for in-hospital bleeding risk following percutaneous coronary intervention in patients with acute coronary syndrome.

Juan Liu, Hui He, Hong Su, Jun Hou, Yan Luo, Qiang Chen, Qiao Feng, Xiufen Peng, Maoling Jiang, Long Xia and 4 more

Abstract read
In one paragraph

Article in International journal of cardiology. Heart & vasculature, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Juan LiuDepartment of Cardiology, Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Hui HeDepartment of Cardiology, Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Hong SuDepartment of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu Cardiovascular Disease Research Institute, Chengdu, Sichuan, China.
Jun HouDepartment of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu Cardiovascular Disease Research Institute, Chengdu, Sichuan, China.
Yan LuoDepartment of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu Cardiovascular Disease Research Institute, Chengdu, Sichuan, China.
Qiang ChenDepartment of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu Cardiovascular Disease Research Institute, Chengdu, Sichuan, China.
Qiao FengDepartment of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu Cardiovascular Disease Research Institute, Chengdu, Sichuan, China.
Xiufen PengDepartment of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu Cardiovascular Disease Research Institute, Chengdu, Sichuan, China.
Maoling JiangDepartment of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu Cardiovascular Disease Research Institute, Chengdu, Sichuan, China.
Long XiaDepartment of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu Cardiovascular Disease Research Institute, Chengdu, Sichuan, China.
Hanxiong LiuDepartment of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu Cardiovascular Disease Research Institute, Chengdu, Sichuan, China.
Zhen ZhangDepartment of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu Cardiovascular Disease Research Institute, Chengdu, Sichuan, China.
Shiqiang XiongDepartment of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu Cardiovascular Disease Research Institute, Chengdu, Sichuan, China.
Lin CaiDepartment of Cardiology, Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Academic Research Consortium for High Bleeding Risk (ARC-HBR) criteria were proposed for predicting bleeding risk in patients undergoing percutaneous coronary intervention (PCI). However, there is a lack of research evaluating the risk of in-hospital bleeding following PCI for acute coronary syndrome (ACS) utilizing the ARC-HBR criteria. Methods and results: This study involved 1013 ACS patients who underwent PCI and dual antiplatelet therapy. There were 63 cases of in-hospital bleeding events (6.22 %). According to the ARC-HBR criteria, patients classified as HBR had a significantly greater bleeding rate than non-HBR patients (15.81 % vs. 1.99 %, p < 0.001). As the CRUSADE score category increased, the risk of bleeding also increased. The area under the receiver operating characteristic curve (AUC) of the ARC-HBR criteria was significantly greater than that of the CRUSADE score for bleeding (0.751 vs. 0.696, p < 0.0001). Subgroup analysis revealed that the ARC-HBR criteria exhibited better predictive ability for ST-segment elevation myocardial infarction (STEMI, AUC 0.767 vs. 0.694, p = 0.020) but comparable predictive ability in patients with unstable angina (AUC 0.756 vs. 0.644, p = 0.213), non-ST-segment elevation myocardial infarction (AUC 0.713 vs. 0.683, p = 0.644), and non-ST-segment elevation ACS (AUC 0.739 vs. 0.687, p = 0.330). Conclusion: Compared with the CRUSADE score, the ARC-HBR criteria demonstrate superior predictive ability for in-hospital bleeding events during PCI in ACS patients. Routine assessment of the ARC-HBR score might be helpful for identifying high-risk individuals in this specific population.

Indexed as

ARC-HBR criteriaCRUSADE scoreHigh bleeding riskPercutaneous coronary intervention

Identifiers

PMID39498347
PMCPMC11533499

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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.