A Prospective Natural History Study of Coronary Atherosclerosis Using Fractional Flow Reserve

Emanuele Barbato1, Gabor G Toth2, Nils P Johnson3

  • 1Cardiovascular Research Center Aalst OLV Hospital, Aalst, Belgium; Department of Advanced Biomedical Science, University of Naples Federico II, Naples, Italy.

Insights

Fractional flow reserve (FFR) is a key predictor of outcomes in coronary artery disease. Lower FFR values correlate with a higher risk of major adverse cardiovascular events (MACE) in patients treated with medical therapy alone.

Area of Science:

  • Cardiology
  • Interventional Cardiology
  • Medical Devices

Background:

  • Clinical outcomes in coronary artery disease (CAD) depend on reversible myocardial ischemia.
  • The role of stenosis severity, measured by fractional flow reserve (FFR), in predicting patient outcomes is not fully understood.

Purpose of the Study:

  • To investigate the relationship between FFR values and vessel-related clinical outcomes.
  • To determine if FFR is an independent predictor of adverse cardiovascular events.

Main Methods:

  • Prospective study of 607 patients with CAD treated with medical therapy alone.
  • Assessment of all coronary stenoses using FFR.
  • Follow-up for major adverse cardiovascular events (MACE) over 2 years.
  • Statistical analysis using logistic and Cox proportional hazards regression models.

Main Results:

  • MACE occurred in 26.5% of lesions studied.
  • Lower median FFR values (0.68) were observed in the MACE group compared to the non-MACE group (0.80).
  • FFR was a significant independent predictor of MACE, with a statistically significant decrease in MACE risk per 0.05-unit increase in FFR (OR: 0.81).
  • The strongest increase in MACE risk was noted for FFR values between 0.80 and 0.60.

Conclusions:

  • Stenosis severity, as assessed by FFR, is a major and independent predictor of lesion-related outcomes in patients with stable coronary disease.
  • FFR assessment is crucial for risk stratification and guiding management in CAD patients.
Abstract

Related Concept Videos