PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
October 24, 2015Circulation Cardiovascular Interventions127 citationsOpen Access

Integrated Physiologic Assessment of Ischemic Heart Disease in Real-World Practice Using Index of Microcirculatory Resistance and Fractional Flow Reserve

JLJoo Myung LeeJLJamie LaylandJJJi-Hyun Jung

Key Result

High index of microcirculatory resistance (IMR) was predicted by previous myocardial infarction (OR 2.16, P =0.01) but showed no correlation with fractional flow reserve (FFR).

Structured PICO

What is the relationship between the index of microcirculatory resistance (IMR) and fractional flow reserve (FFR), and what are their respective determinants in patients with ischemic heart disease?

P
Population
1096 consecutive patients (1452 coronary arteries) with ischemic heart disease who underwent elective measurement of both fractional flow reserve (FFR) and index of microcirculatory resistance (IMR) from 8 centers in 5 countries. Excluded: acute myocardial infarction. Mean age 61.1, 71.2% male.
I
Intervention
Measurement of index of microcirculatory resistance (IMR) and fractional flow reserve (FFR)
O
Outcome
Correlation between IMR and FFR values, and identification of clinical and angiographic determinants for high IMR and ischemic FFRsurrogate

IMR and FFR are not correlated and have different clinical predictors, suggesting that integrating IMR with FFR provides distinct insights into microvascular versus macrovascular disease.

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 (IMR corr ). 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 IMR corr was 16.6 U (Q1, Q3 12.4 U, 23.0 U). There was no correlation between IMR corr and FFR values ( r =0.01, P =0.62), and the categorical agreement of FFR and IMR corr was low (kappa value=−0.04, P =0.10). There was no correlation between IMR corr 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. Clinical Trial Registration— URL: http://www.clinicaltrials.gov . Unique identifier: NCT02186093.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Lee et al. (2015) studied this question. High index of microcirculatory resistance (IMR) was predicted by previous myocardial infarction (OR 2.16, P =0.01) but showed no correlation with fractional flow reserve (FFR).

synapsesocial.com/papers/696bdcb250a360e9ca119885https://doi.org/10.1161/circinterventions.115.002857
Ask AI
Helpful
Bookmark
Share
View Full Paper