Evidence map›Paper›PMID 40375081›Full record

ArticleBMC cardiovascular disorders2025

Post-discharge major bleeding/all-cause death in acute coronary syndrome: academic research consortium criteria versus Japan-specific criteria.

Hironori Ishiguchi, Yu Yasuda, Hiroya Mabuchi, Madoka Yamaguchi, Kei Murakami, Natsu Kinoshita, Takayoshi Kato, Masaaki Yoshida, Kazuhiko Sonoyama, Koji Imoto and 6 more

Abstract readComparative StudyMulticenter Study
In one paragraph

Article in BMC cardiovascular disorders, 2025. 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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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

16 authors.

Hironori IshiguchiDepartment of Medicine and Clinical Science, Division of Cardiology, Yamaguchi University Graduate School of Medicine, 1-1-1 Minamikogushi, Ube, Yamaguchi, 755-8505, Japan. nilebros@gmail.com.
Yu YasudaDepartment of Cardiology, National Hospital Organisation Hamada Medical Center, Hamada, Japan.
Hiroya MabuchiGeneral Medicine, Iinan Hospital, Iinan, Japan.
Madoka YamaguchiDivision of Cardiology, Faculty of Medicine, Shimane University, Izumo, Japan.
Kei MurakamiDivision of Cardiology, Shimane Prefectural Central Hospital, Izumo, Japan.
Natsu KinoshitaDivision of Cardiology, Shimane Prefectural Central Hospital, Izumo, Japan.
Takayoshi KatoDivision of Cardiology, Shimane Prefectural Central Hospital, Izumo, Japan.
Masaaki YoshidaDivision of Cardiology, Shimane Prefectural Central Hospital, Izumo, Japan.
Kazuhiko SonoyamaDivision of Cardiology, Shimane Prefectural Central Hospital, Izumo, Japan.
Koji ImotoDivision of Cardiology, Shimane Prefectural Central Hospital, Izumo, Japan.
Takayuki OkamuraDepartment of Medicine and Clinical Science, Division of Cardiology, Yamaguchi University Graduate School of Medicine, 1-1-1 Minamikogushi, Ube, Yamaguchi, 755-8505, Japan.
Akihiro EndoDivision of Cardiology, Faculty of Medicine, Shimane University, Izumo, Japan.
Shigeki KobayashiDepartment of Therapeutic Science for Heart Failure in the Elderly, Yamaguchi University School of Medicine, Ube, Japan.
Kazuaki TanabeDivision of Cardiology, Faculty of Medicine, Shimane University, Izumo, Japan.
Motoaki SanoDepartment of Medicine and Clinical Science, Division of Cardiology, Yamaguchi University Graduate School of Medicine, 1-1-1 Minamikogushi, Ube, Yamaguchi, 755-8505, Japan.
Tsuyoshi OdaDivision of Cardiology, Shimane Prefectural Central Hospital, Izumo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe differentiation of the Academic Research Consortium high bleeding risk (HBR) (ARC-HBR) criteria and those modified for Japanese patients (J-HBR) for predicting events following discharge in patients with acute coronary syndrome (ACS) has yet to be clarified. In this study, we compared the ARC-HBR and J-HBR criteria for predicting post-discharge bleeding and associated events in patients with ACS.

methodsWe retrospectively analyzed data from 889 patients with ACS discharged alive at two tertiary hospitals in Japan between August 2009 and July 2018. We identified patients with HBR using both sets of criteria. We compared the incidence of major bleeding/all-cause death within 2 years following discharge and performance metrics between each set of criteria, and explored the efficacy of combining both sets of criteria to stratify risk levels for the prediction of clinical events.

resultsEighty patients experienced major bleeding/all-cause death. In the ARC-HBR and J-HBR criteria, 51% and 65% of patients were categorized as HBR, respectively. Both sets of criteria effectively identified patients at a high risk of major bleeding/all-cause death. The ARC-HBR demonstrated a significantly higher area under the curve (AUC) for major bleeding and all-cause death combined (AUC [95% confidence interval]: 0.67 [0.64-0.69]) than that of the J-HBR (0.63 [0.60-0.66], P = 0.015). In each component, while the AUC for major bleeding was comparable between the two sets of criteria (0.61 [0.57-0.64] vs. 0.61 [0.57-0.63], P = 0.95), the ARC-HBR criteria showed a significantly higher AUC for all-cause death than the J-HBR criteria (0.67 [0.64-0.70] vs. 0.61 [0.59-0.64], P < 0.001). The combined use of both sets of criteria effectively stratified the risk for major bleeding/all-cause death (hazard ratio [95% confident interval]: 5.81 [2.79-12.07] in those positive for both sets of criteria, compared to those negative in both sets of criteria).

conclusionsThe ARC-HBR criteria demonstrated a greater discriminative capability for predicting major bleeding/all-cause mortality than the J-HBR criteria. For major bleeding alone, the discriminative ability of both sets of criteria was comparable.

Indexed as

Acute Coronary SyndromeHemorrhagePatient DischargeAgedAged, 80 and overCause of DeathFemaleHumansIncidenceJapanMaleMiddle AgedPredictive Value of TestsRetrospective StudiesRisk AssessmentRisk FactorsAcute myocardial infarctionARC-HBRHigh bleeding risk

Identifiers

PMID40375081
PMCPMC12082906

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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.