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基于血管造影术的微循环阻力指数(AccuIMR)用于评估急性冠脉综合征和慢性冠脉综合征中的微血管功能障碍。

Angiography-based index of microcirculatory resistance (AccuIMR) for the assessment of microvascular dysfunction in acute coronary syndrome and chronic coronary syndrome.

作者信息

Fan Yongzhen, Li Chenguang, Hu Yumeng, Hu Xiaorong, Wang Shuang, He Jingsong, Leng Xiaochang, Xiang Jianping, Lu Zhibing

机构信息

Department of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan, China.

Institute of Myocardial Injury and Repair, Wuhan University, Wuhan, China.

出版信息

Quant Imaging Med Surg. 2023 Jun 1;13(6):3556-3568. doi: 10.21037/qims-22-961. Epub 2023 Apr 17.

DOI:10.21037/qims-22-961
PMID:37284070
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10240038/
Abstract

BACKGROUND

To assess the diagnostic accuracy of AccuIMR, a newly proposed, pressure wire-free index, in identifying coronary microvascular dysfunction (CMD) among patients with acute coronary syndrome [including ST-segment elevation myocardial infarction (STEMI) and non-ST-segment elevation myocardial infarction (NSTEMI)] and chronic coronary syndrome (CCS).

METHODS

A total of 163 consecutive patients (43 with STEMI, 59 with NSTEMI, and 61 with CCS), who underwent invasive coronary angiography (ICA) and for whom the index of microcirculatory resistance (IMR) was measured, were retrospectively enrolled at a single center. IMR measurements were made in 232 vessels. The AccuIMR based on computational fluid dynamics (CFD) was calculated from coronary angiography. The diagnostic performance of AccuIMR was assessed using wire-based IMR as a reference standard.

RESULTS

AccuIMR correlated well with IMR (overall r=0.76, P<0.001; STEMI r=0.78, P<0.001; NSTEMI r=0.78, P<0.001; CCS r=0.75, P<0.001) and had good diagnostic performance in detecting abnormal IMR [overall diagnostic accuracy, sensitivity, and specificity were 94.83% (91.14% to 97.30%), 92.11% (78.62% to 98.34%), and 95.36% (91.38% to 97.86%), respectively]. Using a cutoff value of IMR >40 U for AccuIMR in STEMI and IMR >25 U in NSTEMI and CCS, the area under the receiver operating characteristic (ROC) curve (AUC) of AccuIMR for predicting abnormal IMR value was 0.917 (0.874 to 0.949) in all patients, 1.000 (0.937 to 1.000) in patients with STEMI, 0.941 (0.867 to 0.980) in patients with NSTEMI, and 0.918 (0.841 to 0.966) in patients with CCS.

CONCLUSIONS

The use of AccuIMR in the evaluation of microvascular diseases could provide valuable information and potentially increase the application of physiological assessment for microcirculation in patients with ischemic heart disease.

摘要

背景

为评估新提出的无压力导丝指数AccuIMR在识别急性冠状动脉综合征[包括ST段抬高型心肌梗死(STEMI)和非ST段抬高型心肌梗死(NSTEMI)]及慢性冠状动脉综合征(CCS)患者冠状动脉微血管功能障碍(CMD)方面的诊断准确性。

方法

在单一中心回顾性纳入了163例连续患者(43例STEMI、59例NSTEMI和61例CCS),这些患者接受了有创冠状动脉造影(ICA)并测量了微血管阻力指数(IMR)。在232支血管中进行了IMR测量。基于计算流体动力学(CFD)的AccuIMR由冠状动脉造影计算得出。以基于导丝的IMR作为参考标准评估AccuIMR的诊断性能。

结果

AccuIMR与IMR相关性良好(总体r = 0.76,P < 0.001;STEMI中r = 0.78,P < 0.001;NSTEMI中r = 0.78,P < 0.001;CCS中r = 0.75,P < 0.001),在检测异常IMR方面具有良好的诊断性能[总体诊断准确性、敏感性和特异性分别为94.83%(91.14%至97.30%)、92.11%(78.62%至98.34%)和95.36%(91.38%至97.86%)]。对于STEMI患者,AccuIMR的IMR临界值>40 U,NSTEMI和CCS患者的临界值>25 U,AccuIMR预测异常IMR值的受试者操作特征(ROC)曲线下面积(AUC)在所有患者中为0.917(0.874至0.949),STEMI患者中为1.000(0.937至1.000),NSTEMI患者中为0.94(0.867至0.980),CCS患者中为0.918(0.841至0.966)。

结论

使用AccuIMR评估微血管疾病可提供有价值的信息,并可能增加对缺血性心脏病患者微循环生理评估的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b9b/10240038/5e8e6beb5f15/qims-13-06-3556-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b9b/10240038/e9d94a1c9134/qims-13-06-3556-f1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b9b/10240038/1b761f40fc1f/qims-13-06-3556-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b9b/10240038/5e8e6beb5f15/qims-13-06-3556-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b9b/10240038/e9d94a1c9134/qims-13-06-3556-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b9b/10240038/534b1ff37ddf/qims-13-06-3556-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b9b/10240038/cf78da271cb1/qims-13-06-3556-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b9b/10240038/1b761f40fc1f/qims-13-06-3556-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b9b/10240038/5e8e6beb5f15/qims-13-06-3556-f5.jpg

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