Gao Beibei, Wu Guomin, Xie Jianchang, Ruan Jie, Xu Peng, Qian Yufeng, Gu Junjie, Li Wei, Jin Xiangbo, Tong Guoxin, Huang Jinyu
Department of Cardiology, Affiliated Hangzhou First People's Hospital Zhejiang University School of Medicine, Hangzhou, China.
Department of Clinical Pharmacy, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Cardiology. 2024;149(1):14-22. doi: 10.1159/000534287. Epub 2023 Oct 14.
Coronary microvascular disease (CMVD) is associated with adverse cardiovascular outcomes. However, there is no reliable and noninvasive quantitative diagnostic method available for CMVD. The use of a pressure wire to measure the index of microcirculatory resistance (IMR) is possible, but it has inevitable practical restrictions. We hypothesized that computation of the quantitative flow ratio could be used to predict CMVD with symptoms of ischemia and no obstructive coronary artery disease (INOCA).
We retrospectively assessed the diagnostic efficiency of the quantitative flow ratio-derived index of microcirculatory resistance (QMR) in 103 vessels from 66 patients and compared it with invasive IMR using the thermodilution technique.
Patients were divided into the CMVD group (41/66, 62.1%) and non-CMVD group (25/66, 37.9%). Pressure wire IMR measurements were made in 103 coronary vessels, including 44 left descending arteries, 18 left circumflex arteries, and 41 right coronary arteries. ROC curve analysis showed a good diagnostic performance of QMR for all arteries (area under the curve = 0.820, 95% confidence interval 0.736-0.904, p < 0.001) in predicting microcirculatory function. The optimal cut-off for QMR to predict microcirculatory function was 266 (sensitivity: 82.9%, specificity: 72.6%, and diagnostic accuracy: 76.7%).
QMR is a promising tool for the assessment of coronary microcirculation. The assessment of the IMR without the use of a pressure wire may enable more rapid, convenient, and cost-effective assessment of coronary microvascular function.
冠状动脉微血管疾病(CMVD)与不良心血管结局相关。然而,目前尚无可靠的非侵入性定量诊断方法用于CMVD。使用压力导丝测量微循环阻力指数(IMR)是可行的,但存在不可避免的实际限制。我们假设定量血流比的计算可用于预测有缺血症状且无阻塞性冠状动脉疾病(INOCA)的CMVD。
我们回顾性评估了66例患者103条血管中基于定量血流比得出的微循环阻力指数(QMR)的诊断效率,并将其与使用热稀释技术的有创IMR进行比较。
患者分为CMVD组(41/66,62.1%)和非CMVD组(25/66,37.9%)。在103条冠状动脉血管中进行了压力导丝IMR测量,包括44条左前降支动脉、18条左旋支动脉和41条右冠状动脉。ROC曲线分析显示,QMR在预测微循环功能方面对所有动脉具有良好的诊断性能(曲线下面积 = 0.820,95%置信区间0.736 - 0.904,p < 0.001)。预测微循环功能的QMR最佳截断值为266(敏感性:82.9%,特异性:72.6%,诊断准确性:76.7%)。
QMR是评估冠状动脉微循环的一种有前景的工具。无需使用压力导丝评估IMR可能使冠状动脉微血管功能评估更快速、便捷且具成本效益。