New Criteria to Identify Patients at Higher Risk for Cardiovascular Complications After Percutaneous Coronary

Alessandro Spirito1, Ashutosh Sharma1, Davide Cao2

  • 1Zena and Michael A. Wiener Cardiovascular Institute Icahn School of Medicine, Mount Sinai, New York, New York.

Insights

A new score accurately identifies patients at high risk of death after percutaneous coronary intervention (PCI). This validated tool aids in stratifying patients undergoing PCI for better risk assessment and outcomes.

Area of Science:

  • Cardiology
  • Interventional Cardiology
  • Health Outcomes Research

Background:

  • A universal definition for identifying high-risk patients undergoing percutaneous coronary intervention (PCI) is currently lacking.
  • Risk stratification after PCI is crucial for optimizing patient management and improving outcomes.

Purpose of the Study:

  • To validate a recently developed risk score for identifying patients at increased risk of all-cause death following PCI.
  • To assess the score's predictive value for major adverse cardiovascular events and major bleeding.

Main Methods:

  • A large PCI registry was utilized, including consecutive patients undergoing PCI (excluding ST-elevation myocardial infarction or cardiogenic shock).
  • A risk score was calculated based on age >80 years, dialysis, left ventricular ejection fraction <30%, and multivessel PCI.
  • Patients were stratified into low (score 0), intermediate (score 2-3), and high (score ≥4) risk groups.

Main Results:

  • The validated score demonstrated good predictive value for all-cause death at 1 year (AUC 0.70).
  • High-risk patients (score ≥4) had a ninefold higher hazard for all-cause death compared to low-risk patients.
  • The risk of major adverse cardiovascular events and major bleeding increased consistently across risk strata.

Conclusions:

  • The validated 4-variable score effectively predicts 1-year all-cause mortality in patients undergoing PCI for stable ischemic heart disease or non-ST-elevation acute coronary syndrome.
  • This risk score can aid clinicians in identifying high-risk individuals, facilitating personalized treatment strategies.
  • The score also shows utility in predicting secondary outcomes like MACE and major bleeding post-PCI.

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