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Coronary artery bypass for recent infarction. Predictors of mortality

K S Naunheim1, K A Kesler, K R Kanter

  • 1Department of Surgery, St. Louis University Medical Center, Missouri.

Circulation
|September 1, 1988
PubMed

Insights

Coronary artery bypass (CAB) surgery after myocardial infarction is controversial. Advanced age, poor left ventricular function, and clinical group independently predict mortality in these high-risk patients.

Area of Science:

  • Cardiology
  • Cardiac Surgery
  • Interventional Cardiology

Background:

  • The optimal timing and role of coronary artery bypass (CAB) surgery following myocardial infarction (MI) are debated.
  • Recent MI patients undergoing CAB surgery represent a high-risk population with variable outcomes.

Purpose of the Study:

  • To evaluate the operative risks and identify predictors of mortality in patients undergoing isolated CAB surgery within 30 days of MI.
  • To stratify risk based on clinical presentation and patient characteristics.

Main Methods:

  • A retrospective review of 336 patients who underwent isolated CAB surgery within 30 days of MI.
  • Patients were categorized into four clinical groups based on angina severity and hemodynamic status.
  • Multivariate logistic regression analysis was used to identify independent predictors of mortality.

Main Results:

  • Overall mortality was 7.7%, with significant variation across clinical groups (2.3% to 47.8%).
  • Independent predictors of mortality included advanced age (p=0.002), left ventricular wall-motion score (p=0.004), and clinical group (p=0.048).
  • Variables such as interval from infarction to CAB, number of diseased vessels, and bypass times were not independent predictors.

Conclusions:

  • CAB surgery in the early post-MI period carries significant risk, particularly in patients with severe ischemia or cardiogenic shock.
  • Risk stratification using clinical presentation, age, and left ventricular function is crucial for patient selection and management.
  • Further research is warranted to refine patient selection criteria and optimize outcomes for this vulnerable population.

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