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通过血流储备分数评估血流动力学显著冠状动脉病变预测因素的研究:倾向评分匹配分析

An investigation into hemodynamically significant coronary artery lesions predictors assessed by fractional flow reserve: A propensity score matching analysis.

作者信息

Aksu Ugur, Kalkan Kamuran, Aksakal Emrah, Gulcu Oktay, Demirelli Selami, Topcu Selim

机构信息

Department of Cardiology, Erzurum Regional Training and Research Hospital, Erzurum, Turkey.

Department of Cardiology, Ataturk University Faculty of Medicine, Erzurum, Turkey.

出版信息

North Clin Istanb. 2019 Mar 10;7(1):35-39. doi: 10.14744/nci.2019.79058. eCollection 2020.

Abstract

OBJECTIVE

Fractional flow reserve (FFR) provides more useful information regarding myocardial metabolism and demand-supply convenience as compared to anatomical measurements. In this study, we aimed to investigate FFR predictors after propensity score matching (PSM) analysis in patients with intermediate coronary lesions.

METHODS

Patients who underwent coronary angiography between January 2014 and March 2015 due to suspicion of coronary artery disease were included in this study. Patients were divided into two groups according to the FFR status and predictors of FFR before and after PSM analysis were investigated.

RESULTS

A total of 290 patients (a total of 310 lesions) were included in this study (61±12 years, 75.5% male). In univariate analysis, after PSM analysis, Diameter stenosis (DS) and proximal LAD lesion (PLL) were associated with lower FFR values.

CONCLUSION

This study indicated that the majority of traditional FFR predictors did not reach the limit of significance after PSM analysis and we suggest that DS and PLL are one step ahead of predicting lesion severity compared to other traditional risk factors.

摘要

目的

与解剖学测量相比,血流储备分数(FFR)能提供更多有关心肌代谢及供需匹配情况的有用信息。在本研究中,我们旨在通过倾向评分匹配(PSM)分析来探究中度冠状动脉病变患者的FFR预测因素。

方法

本研究纳入了2014年1月至2015年3月因疑似冠状动脉疾病而接受冠状动脉造影的患者。根据FFR状态将患者分为两组,并对PSM分析前后的FFR预测因素进行研究。

结果

本研究共纳入290例患者(共310处病变)(年龄61±12岁,男性占75.5%)。在单因素分析中,PSM分析后,直径狭窄(DS)和左前降支近端病变(PLL)与较低的FFR值相关。

结论

本研究表明,多数传统的FFR预测因素在PSM分析后未达到显著水平,并且我们认为与其他传统危险因素相比,DS和PLL在预测病变严重程度方面更具优势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dccd/7103741/5e601fc57f90/NCI-7-35-g001.jpg

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