Diagnostic performance of angiography-derived coronary physiology in transcatheter aortic valve implantation pathway:

Ioannis Skalidis1, Lisa Simioni2, Giulia S Beretta2

  • 1Department of Cardiology, HFR - Fribourg Cantonal Hospital and University, Fribourg, Switzerland; Institut Cardiovasculaire Paris-Sud, Hôpital Jacques Cartier, Massy, France.

Insights

Angiography-derived coronary physiology accurately detects significant coronary stenoses in transcatheter aortic valve implantation (TAVI) candidates. Its diagnostic performance is comparable whether fractional flow reserve (FFR) is measured before or after TAVI.

Area of Science:

  • Cardiology
  • Interventional Cardiology
  • Medical Imaging

Background:

  • Coronary artery disease (CAD) is prevalent in patients undergoing transcatheter aortic valve implantation (TAVI).
  • Accurate assessment of coronary stenosis significance is crucial for guiding management in TAVI candidates.
  • The diagnostic utility of non-invasive, angiography-derived coronary physiology for detecting significant stenoses in this population remains under investigation.

Purpose of the Study:

  • To evaluate the diagnostic performance of angiography-derived coronary physiology for identifying significant coronary artery stenoses (defined by invasive fractional flow reserve [FFR] ≤0.80) in patients evaluated for TAVI.
  • To assess if the diagnostic accuracy of angiography-derived physiology differs when invasive FFR is measured before versus after TAVI.

Main Methods:

  • A diagnostic accuracy meta-analysis was conducted, including studies comparing lesion-level angiography-derived physiology (quantitative flow ratio [QFR]) against invasive FFR (≤0.80).
  • Pooled sensitivity, specificity, and diagnostic odds ratios (DOR) were calculated using random-effects models.
  • Meta-regression analysis explored the impact of the timing of invasive FFR measurement (pre- vs. post-TAVI).

Main Results:

  • Five studies with 422 to 250 lesions were included in the analyses.
  • The pooled sensitivity for detecting significant stenoses was 0.79 (95% CI, 0.68-0.87) and specificity was 0.88 (95% CI, 0.80-0.93).
  • Diagnostic performance remained comparable regardless of whether FFR was measured before or after TAVI (P = .39 for interaction).

Conclusions:

  • Angiography-derived coronary physiology demonstrates good diagnostic accuracy in TAVI candidates.
  • The method provides reliable assessment of coronary stenosis significance, with consistent performance irrespective of FFR measurement timing relative to TAVI.
  • Interpretation requires consideration of potential hemodynamic instability affecting reference standards.
Abstract