肾小球滤过率评估方程在不同人群中的适用性

doi:10.3969/j.issn.1673-8640.2015.07.004

检验医学 ›› 2015, Vol. 30 ›› Issue (7): 680-683.DOI: 10.3969/j.issn.1673-8640.2015.07.004

• 估算肾小球滤过率公式的临床应用专题 • 上一篇下一篇

肾小球滤过率评估方程在不同人群中的适用性

卞炳贤, 周韵斓, 沈立松

上海交通大学医学院附属新华医院检验科,上海 200092

收稿日期:2015-02-23 出版日期:2015-07-30 发布日期:2015-08-28
作者简介:null
作者简介:卞炳贤,男,1988年生,学士,住院医师,主要研究方向为生物标志物的临床应用。

通讯作者:沈立松,联系电话:021-25077073。
基金资助:
国家自然科学基金资助项目(81372641、81401946)

Applicability of glomerular filtration rate equations in different populations

BIAN Bingxian, ZHOU Yunlan, SHEN Lisong

Department of Clinical Laboratory, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200092, China

Received:2015-02-23 Online:2015-07-30 Published:2015-08-28

摘要/Abstract

摘要：

目前基于普通人群所开发的通用估算肾小球滤过率(eGFR)评估公式在临床广泛使用,但某些特定人群由于其自身特点的影响,其eGFR评估公式亦会与普通人群有所不同。文章就eGFR评估公式的发展过程及在不同人群中的适用性作一综述,主要包括中国人群、儿童、糖尿病患者、心力衰竭患者、老年人。在临床研究及应用中应需注意肌酐与半胱氨酸蛋白酶抑制剂C检测方法的标准化以及eGFR评估公式的差异化和本土化使用。

关键词: 肾小球滤过率, 估算肾小球滤过率评估方程, 肌酐, 半胱氨酸蛋白酶抑制剂C

Abstract:

Today, estimated glomerular filtration rate (eGFR) equations based on general population are widely used, however, some equations fail to provide the same performance in certain population because of different features. This review aims to discuss the development and comparative performance of eGFR equations in different populations, including Chinese, children, patients with diabetes mellitus, patients with heart failure and elderly. We suggest that it should pay attention to the standardization of creatinine and cystatin C (Cys C) determinations and the differentiation and localization of eGFR equations in clinical study and application.

Key words: Glomerular filtration rate, Estimated glomerular filtration rate equation, Creatinine, Cystatin C

中图分类号:

R446.1

卞炳贤, 周韵斓, 沈立松. 肾小球滤过率评估方程在不同人群中的适用性[J]. 检验医学, 2015, 30(7): 680-683.

BIAN Bingxian, ZHOU Yunlan, SHEN Lisong. Applicability of glomerular filtration rate equations in different populations[J]. Laboratory Medicine, 2015, 30(7): 680-683.

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肾小球滤过率评估方程在不同人群中的适用性

Applicability of glomerular filtration rate equations in different populations

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