Literature DB >> 30709663

Development and validation of a more accurate estimating equation for glomerular filtration rate in a Chinese population.

Dai-Yang Li1, Wen-Jun Yin1, Yi-Hu Yi1, Bi-Kui Zhang2, Jun Zhao3, Chao-Nan Zhu4, Rong-Rong Ma3, Ling-Yun Zhou1, Yue-Liang Xie1, Jiang-Lin Wang1, Shan-Ru Zuo1, Kun Liu1, Can Hu1, Ge Zhou1, Xiao-Cong Zuo5.   

Abstract

Previously published equations to estimate glomerular filtration rate (GFR) have limited accuracy in Asian populations. We aimed to develop and validate a more accurate equation for estimated GFR (eGFR) in the Chinese population, using data from 8571 adults who were referred for direct measurement of GFR by renal dynamic imaging (mGFR) at 3 representative hospitals in China. Patients from the Third Xiangya Hospital were included in our development (n=1730) and internal validation sets (n=1042) and patients from the other hospitals comprised the external validation set (n=5799). We excluded patients who were prescribed medications known to influence the tubular secretion of creatinine, patients on dialysis, kidney transplant recipients, and patients with missing creatinine values or with creatinine >700 μmol/l. We derived a novel eGFR equation by linear regression analysis and compared the performance to 12 creatinine-based eGFR equations, including previously published equations for use in Chinese or Asian populations. In the development and internal validation sets, the novel Xiangya equation had high accuracy (accuracy within 30% [P30], 79.21% and 84.33%, respectively), low bias (mean difference between mGFR and eGFR, -1.97 and -1.85 ml/min per 1.73 m2, respectively), and high precision (interquartile range of the differences, 21.13 and 18.88 ml/min per 1.73 m2, respectively). In external validation, the Xiangya equation had the highest P30 among all eGFR equations, with P30 ≤ 75% for the other 12 equations. This novel equation provides more accurate GFR estimates in Chinese adults and could replace existing eGFR equations for use in the Chinese population.
Copyright © 2019 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  accuracy; estimate equation; glomerular filtration rate; kidney disease; renal function; serum creatinine

Mesh:

Substances:

Year:  2019        PMID: 30709663     DOI: 10.1016/j.kint.2018.10.019

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  17 in total

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