Williams Rupert P, de Waard Guus A, De Silva Kalpa, Lumley Matthew, Asrress Kaleab, Arri Satpal, Ellis Howard, Mir Awais, Clapp Brian, Chiribiri Amedeo, Plein Sven, Teunissen Paul F, Hollander Maurits R, Marber Michael, Redwood Simon, van Royen Niels, Perera Divaka
British Heart Foundation Centre of Excellence and National Institute for Health Research Biomedical Research Centre, Cardiovascular Division, Rayne Institute, St Thomas' Hospital, King's College London, London, United Kingdom.
Department of Cardiology, VU University Medical Center, Amsterdam, The Netherlands.
Am J Cardiol. 2018 Jan 1;121(1):1-8. doi: 10.1016/j.amjcard.2017.09.012. Epub 2017 Oct 10.
Coronary microvascular resistance is increasingly measured as a predictor of clinical outcomes, but there is no accepted gold-standard measurement. We compared the diagnostic accuracy of 2 invasive indices of microvascular resistance, Doppler-derived hyperemic microvascular resistance (hMR) and thermodilution-derived index of microcirculatory resistance (IMR), at predicting microvascular dysfunction. A total of 54 patients (61 ± 10 years) who underwent cardiac catheterization for stable coronary artery disease (n = 10) or acute myocardial infarction (n = 44) had simultaneous intracoronary pressure, Doppler flow velocity and thermodilution flow data acquired from 74 unobstructed vessels, at rest and during hyperemia. Three independent measurements of microvascular function were assessed, using predefined dichotomous thresholds: (1) coronary flow reserve (CFR), the average value of Doppler- and thermodilution-derived CFR; (2) cardiovascular magnetic resonance (CMR) derived myocardial perfusion reserve index; and (3) CMR-derived microvascular obstruction. hMR correlated with IMR (rho = 0.41, p <0.0001). hMR had better diagnostic accuracy than IMR to predict CFR (area under curve [AUC] 0.82 vs 0.58, p <0.001, sensitivity and specificity 77% and 77% vs 51% and 71%) and myocardial perfusion reserve index (AUC 0.85 vs 0.72, p = 0.19, sensitivity and specificity 82% and 80% vs 64% and 75%). In patients with acute myocardial infarction, the AUCs of hMR and IMR at predicting extensive microvascular obstruction were 0.83 and 0.72, respectively (p = 0.22, sensitivity and specificity 78% and 74% vs 44% and 91%). We conclude that these 2 invasive indices of coronary microvascular resistance only correlate modestly and so cannot be considered equivalent. In our study, the correlation between independent invasive and noninvasive measurements of microvascular function was better with hMR than with IMR.
冠状动脉微血管阻力作为临床预后的预测指标,其测量方法日益受到关注,但目前尚无公认的金标准测量方法。我们比较了两种有创微血管阻力指标,即多普勒衍生的充血性微血管阻力(hMR)和热稀释衍生的微循环阻力指数(IMR),在预测微血管功能障碍方面的诊断准确性。共有54例患者(年龄61±10岁)因稳定型冠状动脉疾病(n = 10)或急性心肌梗死(n = 44)接受了心脏导管检查,在静息和充血状态下,从74条无阻塞血管同时获取了冠状动脉内压力、多普勒流速和热稀释流量数据。使用预定义的二分阈值评估了微血管功能的三项独立测量指标:(1)冠状动脉血流储备(CFR),即多普勒和热稀释衍生的CFR的平均值;(2)心血管磁共振(CMR)衍生的心肌灌注储备指数;(3)CMR衍生的微血管阻塞。hMR与IMR相关(rho = 0.41,p <0.0001)。在预测CFR方面,hMR的诊断准确性优于IMR(曲线下面积[AUC] 0.82对0.58,p <0.001,敏感性和特异性分别为77%和77%对51%和71%)以及心肌灌注储备指数(AUC 0.85对