Sato Y, Yoshihisa A, Takeishi R, Ohara H, Sugawara Y, Ichijo Y, Hotsuki Y, Watanabe K, Abe S, Misaka T, Sato T, Oikawa M, Kobayashi A, Nakazato K, Takeishi Y. Simplified Academic Research Consortium for High Bleeding Risk (ARC-HBR) Definition Predicts Bleeding Events in Patients With Heart Failure.
Circ J 2021;
86:147-155. [PMID:
34707066 DOI:
10.1253/circj.cj-21-0686]
[Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
BACKGROUND
It has recently been reported that the simplified Academic Research Consortium for High Bleeding Risk (ARC-HBR) definition, which excludes 6 rare criteria, is comparable to the original ARC-HBR definition in predicting major bleeding in patients with coronary artery disease (CAD) who undergo percutaneous coronary intervention. In this study, we investigated whether the simplified ARC-HBR definition could be applied to patients with heart failure (HF) to identify those at high bleeding risk (HBR).
METHODS AND RESULTS
In all, 2,437 patients hospitalized for HF were enrolled in this study. Patients were divided into 2 groups based on the simplified ARC-HBR definition: those at HBR (n=2,026; 83.1%) and those not (non-HBR group; n=411; 16.9%). The HBR group was older (72.0 vs. 61.0 years; P<0.001) and had a lower prevalence of CAD (31.1% vs. 36.5%; P=0.034) than the non-HBR group. Kaplan-Meier analysis showed that post-discharge bleeding events defined as hemorrhagic stroke or gastrointestinal bleeding were more frequent in the HBR than non-HBR group (log-rank P<0.001). The simplified ARC-HBR definition accurately predicted bleeding events (Fine-Gray model; hazard ratio 2.777, 95% confidence interval 1.464-5.270, P=0.001).
CONCLUSIONS
The simplified ARC-HBR definition predicts a high risk of bleeding events in patients with HF.
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