Meta-Analysis of Bleeding Scores Performance for Acute Coronary Syndrome

Tom Kai Ming Wang1, Ojas Hrakesh Mehta2, Yi-Wen Becky Liao3

  • 1Green Lane Cardiovascular Service, Auckland City Hospital, Auckland, New Zealand; Department of Medicine, University of Auckland, Auckland, New Zealand.

Insights

Bleeding risk scores for acute coronary syndrome (ACS) show moderate predictive ability. The ACTION score performed best, while CRUSADE was most studied and effective for specific patient subgroups.

Area of Science:

  • Cardiology
  • Clinical Risk Prediction
  • Evidence Synthesis

Background:

  • Bleeding is a significant complication in acute coronary syndrome (ACS) management.
  • Potent antithrombotic therapies and invasive strategies increase bleeding risk.
  • Risk models are underutilized for guiding ACS treatment decisions regarding bleeding.

Purpose of the Study:

  • To compare the performance of various risk models in predicting bleeding complications in ACS patients.
  • To evaluate the external validation of existing bleeding risk scores.

Main Methods:

  • A systematic meta-analysis was conducted searching Medline, EMBASE, Cochrane, and Scopus from 1980 to December 2017.
  • Seventeen studies with 18,155 patients were included after initial screening of 1,843 articles.
  • Pooled analyses used random effects models to assess the predictive accuracy (C-statistics) of risk scores.

Main Results:

  • The ACTION score demonstrated the highest pooled C-statistic (0.767) for predicting in-hospital major bleeding.
  • The CRUSADE score (C=0.714) was the most extensively studied and showed better performance for radial access and invasive strategies.
  • GRACE (C=0.689) and HAS-BLED (C=0.636) scores had lower predictive accuracy.

Conclusions:

  • ACS-specific bleeding risk scores offer moderate predictive discrimination.
  • The ACTION score shows the highest efficacy, while CRUSADE is a reliable, well-studied option, particularly for specific procedural approaches.
  • Further research is needed to address study heterogeneities and expand validation of risk scores beyond CRUSADE.
Abstract

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