一种用于预测缺血性心脏病患者肾动脉狭窄的简易评分方法。

A simple score for predicting renal artery stenosis in patients with ischemic heart disease.

作者信息

Ma Qin, Zheng Bin, Meng Kang, Yong Qiang, He Yihua, Wang Jian, Li Shiying, Zhao Donghui, Xu Zhenye, Hao Peng, Chen Hua, Fu Kun, Liu Ruixi, Cheng Shujuan, Liu Jinghua

机构信息

Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases Beijing, China.

Department of Ultrasound, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases Beijing, China.

出版信息

Int J Clin Exp Med. 2015 Mar 15;8(3):4302-10. eCollection 2015.

PMID:26064346

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4443180/

Abstract

BACKGROUND

Previous risk score is not simple for predicting existence of atherosclerotic renal artery stenosis (ARAS). Our study aims to develop a simple score to predict ARAS in eastern people with ischemic heart disease.

METHODS

There were two data sources involved in this study. From the data source of patients with acute myocardial infarction, we developed a clinical score for predicting existence of ARAS. After this, we validated this clinical score in data source of patients with ischemic heart failure.

RESULTS

By multivariable logistic regression analysis, only age, hypertension, stroke or intermittent claudication, serum creatinine were involved in this model. Receiver operating characteristic curve was plotted. In the first data source, area under curve is 0.808 to predict ARAS, and 0.762 for bilateral ARAS. In the second data source, area under curve is 0.721 to predict ARAS, and 0.827 for ARAS. Cutoff value of 35.0 yields a sensitivity of 82.4% and a specificity of 51.0% for ARAS, a sensitivity of 78.9% and a specificity of 47.1% for bilateral ARAS. In the second data source, this cutoff value yields a sensitivity of 85.0% and a specificity of 30.5% for ARAS, a sensitivity of 85.7% and a specificity of 17.5% for bilateral ARAS.

CONCLUSIONS

We have developed a simple score for eastern people to predicting existence of ARAS with acceptable sensitivity and specificity in patients with ischemic heart disease. This score is still needed to be validated in general population or patients with no coronary heart disease.

摘要

背景

先前的风险评分对于预测动脉粥样硬化性肾动脉狭窄（ARAS）的存在并不简便。我们的研究旨在开发一种简单的评分方法，用于预测东方缺血性心脏病患者的ARAS。

方法

本研究涉及两个数据源。我们从急性心肌梗死患者的数据源中开发了一种用于预测ARAS存在的临床评分。在此之后，我们在缺血性心力衰竭患者的数据源中对该临床评分进行了验证。

结果

通过多变量逻辑回归分析，该模型仅纳入了年龄、高血压、中风或间歇性跛行、血清肌酐。绘制了受试者工作特征曲线。在第一个数据源中，预测ARAS的曲线下面积为0.808，预测双侧ARAS的曲线下面积为0.762。在第二个数据源中，预测ARAS的曲线下面积为0.721，预测双侧ARAS的曲线下面积为0.827。对于ARAS，截断值为35.0时，灵敏度为82.4%，特异性为51.0%；对于双侧ARAS，灵敏度为78.9%，特异性为47.1%。在第二个数据源中，该截断值对于ARAS的灵敏度为85.0%，特异性为30.5%；对于双侧ARAS，灵敏度为85.7%，特异性为17.5%。