Screening for significant atherosclerotic renal artery stenosis with a regression model in patients undergoing transradial coronary angiography/intervention
Screening for significant atherosclerotic renal artery stenosis with a regression model in patients undergoing transradial coronary angiography/intervention出 版 物：《Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)》 (浙江大学学报（英文版）B辑（生物医学与生物技术）)
年 卷 期：2013年第14卷第8期
页 面：712-712页
核心收录：
学科分类：0710[理学-生物学] 071010[理学-生物化学与分子生物学] 081704[工学-应用化学] 07[理学] 08[工学] 0817[工学-化学工程与技术]
主 题：动脉粥样硬化 逻辑回归模型 肾功能不全 动脉狭窄 模型筛选 冠脉造影 患者 冠状动脉造影
摘 要：Authors： Li-jin PU, Ying SHEN, Rui-yan ZHANG, Qi ZHANG, Lin LU, Feng-hua DING, Jian HU Zheng-kun YANG, Wei-feng SHEN doi： 10.1631/jzus.B1201003 J. Zhejiang Univ.-Sci. B （Biomed. ＆ Biotechnol.）, 2012 Vo1.13 No.8 P.631-637 Abstract： Objective： Early detection of atherosclerotic renal artery stenosis （ARAS） is clinically important with respect to blood pressure control, prevention of renal insufficiency, and even improving survival. We investigated whether the presence of significant ARAS （luminal diameter narrowing 〉70%） could be predicted using a logistic regression model before coronary angiography/intervention.
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