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Integrated Physiologic Assessment of Ischemic Heart Disease in Real-World Practice Using Index of Microcirculatory Resistance and Fractional Flow Reserve: Insights from the International Index of Microcirculatory Resistance Registry

  • Joo Myung Lee
  • , Jamie Layland
  • , Ji Hyun Jung
  • , Hyun Jung Lee
  • , Mauro Echavarria-Pinto
  • , Stuart Watkins
  • , Andy S. Yong
  • , Joon Hyung Doh
  • , Chang Wook Nam
  • , Eun Seok Shin
  • , Bon Kwon Koo
  • , Martin K. Ng
  • , Javier Escaned
  • , William F. Fearon
  • , Keith G. Oldroyd
  • Seoul National University
  • Golden Jubilee National Hospital
  • University of Glasgow
  • Complutense University
  • Centro Nacional de Investigaciónes Cardiovasculares Carlos III (CNIC)
  • Stanford University
  • Inje University
  • Keimyung University
  • University of Ulsan
  • Royal Prince Alfred Hospital

Research output: Contribution to journal › Article › peer-review

Abstract

Background-The index of microcirculatory resistance (IMR) is a quantitative and specific index for coronary microcirculation. However, the distribution and determinants of IMR have not been fully investigated in patients with ischemic heart disease (IHD). Methods and Results-Consecutive patients who underwent elective measurement of both fractional flow reserve (FFR) and IMR were enrolled from 8 centers in 5 countries. Patients with acute myocardial infarction were excluded. To adjust for the influence of collateral flow, IMR values were corrected with Yong's formula (IMRcorr). High IMR was defined as greater than the 75th percentile in each of the major coronary arteries. FFR≤0.80 was defined as an ischemic value. 1096 patients with 1452 coronary arteries were analyzed (mean age 61.1, male 71.2%). Mean FFR was 0.84 and median IMRcorr was 16.6 U (Q1, Q3 12.4 U, 23.0 U). There was no correlation between IMRcorr and FFR values (r=0.01, P=0.62), and the categorical agreement of FFR and IMRcorr was low (kappa value=-0.04, P=0.10). There was no correlation between IMRcorr and angiographic % diameter stenosis (r=-0.03, P=0.25). Determinants of high IMR were previous myocardial infarction (odds ratio [OR] 2.16, 95% confidence interval [CI] 1.24-3.74, P=0.01), right coronary artery (OR 2.09, 95% CI 1.54-2.84, P<0.01), female (OR 1.67, 95% CI 1.18-2.38, P<0.01), and obesity (OR 1.80, 95% CI 1.31-2.49, P<0.01). Determinants of FFR ≤0.80 were left anterior descending coronary artery (OR 4.31, 95% CI 2.92-6.36, P<0.01), angiographic diameter stenosis ≥50% (OR 5.16, 95% CI 3.66-7.28, P<0.01), male (OR 2.15, 95% CI 1.38-3.35, P<0.01), and age (per 10 years, OR 1.21, 95% CI 1.01-1.46, P=0.04). Conclusions-IMR showed no correlation with FFR and angiographic lesion severity, and the predictors of high IMR value were different from those for ischemic FFR value. Therefore, integration of IMR into FFR measurement may provide additional insights regarding the relative contribution of macro-and microvascular disease in patients with ischemic heart disease.

Original languageEnglish
JournalCirculation: Cardiovascular Interventions
Volume8
Issue number11
DOIs
StatePublished - 1 Nov 2015
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • coronary artery disease
  • fractional flow reserve
  • ischemic heart disease
  • microcirculation
  • physiology

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