Correlation between intracoronary physiology and myocardial perfusion imaging in patients with severe aortic stenosis

Int J Cardiol. 2019 Oct 1:292:162-165. doi: 10.1016/j.ijcard.2019.04.050. Epub 2019 Apr 17.

Abstract

Background: Aortic stenosis (AS) is frequently associated with coronary artery disease (CAD). However, the best tool to functionally assess CAD in AS remains undetermined. Fractional flow reserve (FFR) and instantaneous wave-free ratio (iFR) have never been validated in AS.

Methods: FFR, iFR and stress single photon emission computed tomography (SPECT) were performed in a consecutive series of 28 patients with severe AS and 41 borderline coronary lesions during the work-up for valve replacement.

Results: Both FFR and iFR were correlated with an abnormal SPECT. At ROC analysis, FFR yielded an AUC = 0.91 with negative predictive value (NPV) = 95% in detecting ischemia according to SPECT. iFR showed significant worse agreement with myocardial perfusion imaging compared to FFR (59% vs 85%, p = 0.014). Specifically, a significant larger proportion of false positive measurements (negative SPECT and iFR < 0.89) was observed using iFR vs FFR: 39% vs 12%, p = 0.011. Using a pre-specified 0.82 cut-off, the iFR agreement with SPECT increased to 73%.

Conclusions: FFR yielded a good correlation with SPECT and a high NPV in detecting ischemia-provoking lesions. iFR diagnostic metrics were inferior compared with FFR and improved adopting a lower ischemic threshold.

Keywords: Aortic stenosis; Coronary artery disease; Fractional flow reserve; Instantaneous wave-free period; Single photon emission computed tomography; Transcatheter aortic valve implantation.

Publication types

  • Observational Study

MeSH terms

  • Aged
  • Aged, 80 and over
  • Aortic Valve Stenosis / diagnostic imaging*
  • Aortic Valve Stenosis / metabolism
  • Coronary Vessels / diagnostic imaging*
  • Coronary Vessels / metabolism
  • Female
  • Fractional Flow Reserve, Myocardial / physiology*
  • Humans
  • Male
  • Myocardial Perfusion Imaging / methods*
  • Prospective Studies
  • Severity of Illness Index*
  • Tomography, Emission-Computed, Single-Photon / methods