Microvascular resistance reserve: diagnostic and prognostic performance in the ILIAS registry

Coen K M Boerhout1, Joo Myung Lee2, Guus A de Waard1

  • 1Heart Center, Amsterdam UMC, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.

PubMed
Abstract

Insights

Microvascular resistance reserve (MRR) effectively assesses coronary microcirculation vasodilator capacity. Abnormal MRR predicts major adverse cardiac events and target vessel failure in patients with significant coronary artery disease.

Area of Science:

  • Cardiology
  • Vascular Biology
  • Diagnostic Imaging

Background:

  • The microvascular resistance reserve (MRR) quantifies coronary microcirculation vasodilator capacity, accounting for epicardial disease and aortic pressure.
  • Evaluating MRR's diagnostic and prognostic performance is crucial for understanding coronary artery disease.

Purpose of the Study:

  • To evaluate the diagnostic and prognostic performance of MRR.
  • To assess MRR's utility in patients with stable symptoms and coronary angiography indications.

Main Methods:

  • 1481 patients from the ILIAS Registry with stable symptoms and coronary angiography indication were analyzed.
  • MRR was calculated as coronary flow reserve (CFR) divided by fractional flow reserve (FFR), corrected for driving pressure.
  • 5-year follow-up data was used to assess major adverse cardiac events (MACE) and target vessel failure (TVF).

Main Results:

  • The median MRR was 2.97, with a good correlation between MRR and CFR (Rs = 0.88).
  • MRR was independently associated with MACE (HR 0.78) and TVF (HR 0.83) at 5-year follow-up.
  • An optimal MRR cut-off of 3.0 identified patients with abnormal MRR significantly associated with MACE and TVF in cases of significant epicardial disease (FFR <0.75).

Conclusions:

  • MRR is a robust indicator of microvascular vasodilator reserve capacity.
  • MRR demonstrates a diagnostic advantage over other indices in patients with significant epicardial coronary artery disease.
  • Abnormal MRR is a significant predictor of adverse cardiac events in specific patient subgroups.