Coronary artery bypass surgery in patients with acute coronary syndromes is difficult to predict

Derek P Chew1, Kenneth W Mahaffey, Harvey D White

  • 1Flinders Medical Centre, Adelaide, Australia. derek.chew@flinders.edu.au

American Heart Journal
|April 29, 2008
PubMed

Insights

Predicting the need for coronary artery bypass grafting (CABG) in acute coronary syndrome (ACS) patients using initial data is challenging. Current models show poor ability to identify individuals requiring CABG, highlighting a gap in risk stratification for ACS management.

Area of Science:

  • Cardiology
  • Clinical Medicine
  • Health Services Research

Background:

  • Current guidelines recommend clopidogrel for acute coronary syndrome (ACS) patients unlikely to need coronary artery bypass grafting (CABG).
  • A significant minority of ACS patients do require CABG, necessitating better prediction methods.
  • The SYNERGY trial data was used to assess prediction of CABG need.

Purpose of the Study:

  • To evaluate the ability of baseline demographics and clinical factors to predict the need for CABG in ACS patients.
  • To assess the relationship between medication cessation timing, CABG timing, and clinical outcomes.
  • To determine the discriminatory utility of predictive models for CABG need.

Main Methods:

  • Analysis of 9053 patients undergoing angiography, identifying those who received CABG.
  • Definition of early CABG as surgery within 72 hours of angiography.
  • Assessment of demographic, clinical factors, and geographic location as predictors of early or any CABG, using logistic regression and c-index.

Main Results:

  • 18.1% of patients (1793/9053) underwent CABG; 972 had early CABG.
  • Early CABG was linked to increased bleeding events (39.2% vs 29.4%) but not death or myocardial infarction (MI).
  • Predictive models demonstrated poor discriminatory ability (c-index 0.671) for identifying patients needing CABG.

Conclusions:

  • Predicting which acute coronary syndrome patients require surgical revascularization based on initial clinical characteristics is difficult.
  • The study highlights limitations in current risk stratification for CABG in ACS.
  • Further research is needed to improve the identification of high-risk patients for CABG.
Abstract

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