Clinical and Vessel Characteristics Associated With Hard Outcomes After PCI and Their Combined Prognostic

Seokhun Yang1, Doyeon Hwang1, Jinlong Zhang2

  • 1Department of Internal Medicine and Cardiovascular Center Seoul National University Hospital, Seoul National University College of Medicine Seoul South Korea.

Insights

Adverse clinical factors like diabetes and vessel traits such as low fractional flow reserve increase cardiac death risk after percutaneous coronary intervention (PCI). Combining these factors improves risk prediction for better patient outcomes.

Area of Science:

  • Cardiovascular Medicine
  • Interventional Cardiology
  • Biostatistics

Background:

  • Contemporary percutaneous coronary intervention (PCI) with drug-eluting stents still carries risks of cardiac death or myocardial infarction.
  • Identifying predictors of hard outcomes post-PCI is crucial for improving patient management and prognosis.

Approach:

  • A meta-analysis of individual patient data from 17 cohorts, including 2081 patients, was conducted.
  • Patients who underwent post-PCI fractional flow reserve measurement after drug-eluting stent implantation were analyzed.
  • Clinical and vessel characteristics were assessed for their association with cardiac death or target-vessel myocardial infarction at 2 years.

Key Points:

  • Four adverse clinical factors (age ≥65, diabetes, chronic kidney disease, LVEF <50%) and two vessel factors (post-PCI FFR ≤0.80, stent length ≥54 mm) independently predicted adverse outcomes.
  • The number of adverse vessel characteristics added predictive value to clinical factors, and vice versa.
  • Cumulative event rates increased significantly with the presence of both clinical and vessel risk factors.

Conclusions:

  • Adverse clinical and vessel characteristics are significantly associated with increased risk of cardiac death or target-vessel myocardial infarction after PCI.
  • These factors demonstrate independent and additive prognostic value.
  • An integrated assessment of these characteristics can optimize risk stratification for patients undergoing PCI.

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