Biomarker Prediction of Complex Coronary Revascularization Procedures in the FOURIER Trial

Antonio Fagundes1, David A Morrow2, Kazuma Oyama3

  • 1IDOR -D'Or Institute for Research and Education, Sao Paolo, Brazil; Thrombolysis in Myocardial Infarction (TIMI) Study Group, Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Insights

Elevated cardiovascular biomarkers predict major adverse cardiovascular events and complex revascularization procedures. A multimarker score effectively identifies patients with high-risk coronary anatomy, aiding risk stratification.

Area of Science:

  • Cardiovascular Medicine
  • Biomarker Research
  • Interventional Cardiology

Background:

  • Cardiovascular biomarkers are established predictors of major adverse cardiovascular events (MCE).
  • The association between biomarkers and complex coronary revascularization or high-risk coronary anatomy remains unclear.

Purpose of the Study:

  • To investigate the relationship between baseline biomarkers and MCE.
  • To assess the association of biomarkers with complex revascularization procedures and coronary anatomy.

Main Methods:

  • Analysis of the FOURIER trial data (n=27,564) involving patients with stable atherosclerosis.
  • Utilized a multimarker score based on elevated high-sensitivity C-reactive protein, NT-proBNP, high-sensitivity troponin I, and GDF-15.
  • Examined associations with MCE, complex revascularization (CABG or complex PCI), and coronary anatomy.

Main Results:

  • A graded association was observed between the multimarker score and increased risk of MCE (HRadj: 2.90 for high score).
  • Higher biomarker scores correlated with increased risk of complex revascularization (HRadj: 2.07 for high score).
  • Elevated biomarker counts predicted left main disease, multivessel disease, and chronic total occlusion.

Conclusions:

  • A biomarker-based strategy can identify stable patients at risk for coronary events and complex procedures.
  • This approach predicts high-risk coronary anatomy, offering valuable insights into cardiovascular risk.
  • Findings enhance understanding of biomarker associations with coronary anatomical complexity and clinical events.
Abstract