Index of microcirculatory resistance: state-of-the-art and potential applications in computational simulation of coronary artery disease

Obstructive disease of the epicardial coronary arteries was recognized as the cause of angina pectoris >2 centuries ago, and sudden thrombotic occlusion of an epicardial coronary artery has been established as the cause of acute myocardial infarction for >100 years. In the past 2 decades, dysfunction of the coronary microvasculature emerged as an additional mechanism of myocardial ischaemia that bears important prognostic implications. The coronary microvasculature (vessels <300 μm in diameter) cannot be directly imaged in vivo, but a number of invasive and noninvasive techniques, each with relative advantages and pitfalls, can be used to assess parameters that depend directly on coronary microvascular function. These methods include invasive or noninvasive measurement of Doppler-derived coronary blood flow velocity reserve, assessment of myocardial blood flow and flow reserve using noninvasive imaging, and calculation of microcirculatory resistance indexes during coronary catheterization. These advanced techniques for assessment of the coronary microvasculature have provided novel insights into the pathophysiological role of coronary microvascular dysfunction in the development of myocardial ischaemia in different clinical conditions.

A relatively simple, invasive method for quantitatively assessing the status of the coronary microcirculation independent of the epicardial artery is lacking. By using a coronary pressure wire and modified software, it is possible to calculate the mean transit time of room-temperature saline injected down a coronary artery. The inverse of the hyperemic mean transit time has been shown to correlate with absolute flow. We hypothesize that distal coronary pressure divided by the inverse of the hyperemic mean transit time provides an index of microcirculatory resistance (IMR) that will correlate with true microcirculatory resistance (TMR), defined as the distal left anterior descending (LAD) pressure divided by hyperemic flow, measured with an external ultrasonic flow probe. A total of 61 measurements were made in 9 Yorkshire swine at baseline and after disruption of the coronary microcirculation, both with and without an epicardial LAD stenosis. The mean IMR (16.9+/-6.5 U to 25.9+/-14.4 U, P=0.002) and TMR (0.51+/-0.14 to 0.79+/-0.32 mm Hg x mL(-1) x min(-1), P=0.0001), as well as the % change in IMR (147+/-66%) and TMR (159+/-105%, P=NS versus IMR % change), increased significantly and to a similar degree after disruption of the microcirculation. These changes were independent of the status of the epicardial artery. There was a significant correlation between mean IMR and TMR values, as well as between the % change in IMR and % change in TMR. Measuring IMR may provide a simple, quantitative, invasive assessment of the coronary microcirculation.

Most methods for assessing microvascular function are not readily available in the cardiac catheterization laboratory. The aim of this study is to determine whether the Index of Microcirculatory Resistance (IMR), measured at the time of primary percutaneous coronary intervention, is predictive of death and rehospitalization for heart failure. IMR was measured immediately after primary percutaneous coronary intervention in 253 patients from 3 institutions with the use of a pressure-temperature sensor wire. The primary end point was the rate of death or rehospitalization for heart failure. The prognostic value of IMR was compared with coronary flow reserve, TIMI myocardial perfusion grade, and clinical variables. The mean IMR was 40.3±32.5. Patients with an IMR >40 had a higher rate of the primary end point at 1 year than patients with an IMR ≤40 (17.1% versus 6.6%; P=0.027). During a median follow-up period of 2.8 years, 13.8% experienced the primary end point and 4.3% died. An IMR >40 was associated with an increased risk of death or rehospitalization for heart failure (hazard ratio [HR], 2.1; P=0.034) and of death alone (HR, 3.95; P=0.028). On multivariable analysis, independent predictors of death or rehospitalization for heart failure included IMR >40 (HR, 2.2; P=0.026), fractional flow reserve ≤0.8 (HR, 3.24; P=0.008), and diabetes mellitus (HR, 4.4; P 40 was the only independent predictor of death alone (HR, 4.3; P=0.02). An elevated IMR at the time of primary percutaneous coronary intervention predicts poor long-term outcomes.