Comparative determinants of 5-year cardiovascular event rates in patients with unprotected left main coronary artery

Cheol Hyun Lee1, Jung-Min Ahn, Pil Hyung Lee

  • 1aDepartment of Cardiology bDivision of Biostatistics, Center for Medical Research and Information, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

Insights

Simple clinical factors like diabetes, low ejection fraction, and extent of coronary artery disease predict cardiovascular events in unprotected left main coronary artery disease. These factors help identify high-risk patients for better management.

Area of Science:

  • Cardiology
  • Interventional Cardiology
  • Vascular Medicine

Background:

  • Unprotected left main coronary artery (ULMCA) disease poses significant cardiovascular risk.
  • Predictive roles of diabetes mellitus (DM), low ejection fraction (EF), and coronary artery disease (CAD) extent are known but their comparative impact in ULMCA disease is unclear.

Purpose of the Study:

  • To categorize cardiovascular event risk in ULMCA disease patients using simple clinical descriptors.
  • To assess the comparative contributions of DM, low EF, and CAD extent to future cardiovascular events in ULMCA disease.

Main Methods:

  • Analysis of 5975 ULMCA disease patients from the Interventional Research Incorporation Society-Left MAIN Revascularization registry.
  • Patients were treated with percutaneous coronary intervention, coronary artery bypass grafting, or medical therapy.
  • Major adverse cardiac or cerebrovascular event (MACCE) was the primary outcome, defined as death, stroke, myocardial infarction, or repeat revascularization.

Main Results:

  • Five-year MACCE rates were 42.5% (medical), 25.7% (PCI), and 19.9% (CABG) (P<0.001).
  • DM (HR: 1.25), low EF ≤40% (HR: 1.83), and extent of CAD (HR: 1.14) were independent predictors of MACCE.
  • These risk factors significantly increased MACCE risk irrespective of treatment strategy.

Conclusions:

  • Simple clinical descriptors effectively identify high-risk patients with ULMCA disease.
  • DM, low EF, and extent of CAD are crucial for predicting future cardiovascular events in ULMCA disease patients.
  • These findings aid clinicians in risk stratification and management decisions for ULMCA disease.
Abstract

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