The ensemble learning model is not better than the Asian modified CKD-EPI equation for glomerular filtration rate estimation in Chinese CKD patients in the external validation study

Abstract Objective To assess the clinical practicability of the ensemble learning model established by Liu et al. in estimating glomerular filtration rate (GFR) and validate whether it is a better model than the Asian modified Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation in a...

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Autores principales:	Li Zhao, Jing-jing Zhang, Xin Tian, Jian-min Huang, Peng Xie, Xiang-zhou Li
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Chronic kidney disease (CKD) Glomerular filtration rate (GFR) Asian modified CKD-EPI equation Ensemble learning model Diseases of the genitourinary system. Urology RC870-923
Acceso en línea:	https://doaj.org/article/03abed7134e440cab19871b44f8ea392
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spelling	oai:doaj.org-article:03abed7134e440cab19871b44f8ea3922021-11-14T12:43:41ZThe ensemble learning model is not better than the Asian modified CKD-EPI equation for glomerular filtration rate estimation in Chinese CKD patients in the external validation study10.1186/s12882-021-02595-51471-2369https://doaj.org/article/03abed7134e440cab19871b44f8ea3922021-11-01T00:00:00Zhttps://doi.org/10.1186/s12882-021-02595-5https://doaj.org/toc/1471-2369Abstract Objective To assess the clinical practicability of the ensemble learning model established by Liu et al. in estimating glomerular filtration rate (GFR) and validate whether it is a better model than the Asian modified Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation in a cohort of Chinese chronic kidney disease (CKD) patients in an external validation study. Methods According to the ensemble learning model and the Asian modified CKD-EPI equation, we calculated estimated GFRensemble and GFRCKD-EPI, separately. Diagnostic performance of the two models was assessed and compared by correlation coefficient, regression equation, Bland–Altman analysis, bias, precision and P30 under the premise of 99mTc-diethylenetriaminepentaacetic acid (99mTc-DTPA) dual plasma sample clearance method as reference method for GFR measurement (mGFR). Results A total of 158 Chinese CKD patients were included in our external validation study. The GFRensemble was highly related with mGFR, with the correlation coefficient of 0.94. However, regression equation of GFRensemble = 0.66*mGFR + 23.05, the regression coefficient was far away from one, and the intercept was wide. Compared with the Asian modified CKD-EPI equation, the diagnostic performance of the ensemble learning model also demonstrated a wider 95% limit of agreement in Bland-Altman analysis (52.6 vs 42.4 ml/min/1.73 m2), a poorer bias (8.0 vs 1.0 ml/min/1.73 m2, P = 0.02), an inferior precision (18.4 vs 12.7 ml/min/1.73 m2, P < 0.001) and a lower P30 (58.9% vs 74.1%, P < 0.001). Conclusions Our study showed that the ensemble learning model cannot replace the Asian modified CKD-EPI equation for the first choice for GFR estimation in overall Chinese CKD patients.Li ZhaoJing-jing ZhangXin TianJian-min HuangPeng XieXiang-zhou LiBMCarticleChronic kidney disease (CKD)Glomerular filtration rate (GFR)Asian modified CKD-EPI equationEnsemble learning modelDiseases of the genitourinary system. UrologyRC870-923ENBMC Nephrology, Vol 22, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Chronic kidney disease (CKD) Glomerular filtration rate (GFR) Asian modified CKD-EPI equation Ensemble learning model Diseases of the genitourinary system. Urology RC870-923
spellingShingle	Chronic kidney disease (CKD) Glomerular filtration rate (GFR) Asian modified CKD-EPI equation Ensemble learning model Diseases of the genitourinary system. Urology RC870-923 Li Zhao Jing-jing Zhang Xin Tian Jian-min Huang Peng Xie Xiang-zhou Li The ensemble learning model is not better than the Asian modified CKD-EPI equation for glomerular filtration rate estimation in Chinese CKD patients in the external validation study
description	Abstract Objective To assess the clinical practicability of the ensemble learning model established by Liu et al. in estimating glomerular filtration rate (GFR) and validate whether it is a better model than the Asian modified Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation in a cohort of Chinese chronic kidney disease (CKD) patients in an external validation study. Methods According to the ensemble learning model and the Asian modified CKD-EPI equation, we calculated estimated GFRensemble and GFRCKD-EPI, separately. Diagnostic performance of the two models was assessed and compared by correlation coefficient, regression equation, Bland–Altman analysis, bias, precision and P30 under the premise of 99mTc-diethylenetriaminepentaacetic acid (99mTc-DTPA) dual plasma sample clearance method as reference method for GFR measurement (mGFR). Results A total of 158 Chinese CKD patients were included in our external validation study. The GFRensemble was highly related with mGFR, with the correlation coefficient of 0.94. However, regression equation of GFRensemble = 0.66*mGFR + 23.05, the regression coefficient was far away from one, and the intercept was wide. Compared with the Asian modified CKD-EPI equation, the diagnostic performance of the ensemble learning model also demonstrated a wider 95% limit of agreement in Bland-Altman analysis (52.6 vs 42.4 ml/min/1.73 m2), a poorer bias (8.0 vs 1.0 ml/min/1.73 m2, P = 0.02), an inferior precision (18.4 vs 12.7 ml/min/1.73 m2, P < 0.001) and a lower P30 (58.9% vs 74.1%, P < 0.001). Conclusions Our study showed that the ensemble learning model cannot replace the Asian modified CKD-EPI equation for the first choice for GFR estimation in overall Chinese CKD patients.
format	article
author	Li Zhao Jing-jing Zhang Xin Tian Jian-min Huang Peng Xie Xiang-zhou Li
author_facet	Li Zhao Jing-jing Zhang Xin Tian Jian-min Huang Peng Xie Xiang-zhou Li
author_sort	Li Zhao
title	The ensemble learning model is not better than the Asian modified CKD-EPI equation for glomerular filtration rate estimation in Chinese CKD patients in the external validation study
title_short	The ensemble learning model is not better than the Asian modified CKD-EPI equation for glomerular filtration rate estimation in Chinese CKD patients in the external validation study
title_full	The ensemble learning model is not better than the Asian modified CKD-EPI equation for glomerular filtration rate estimation in Chinese CKD patients in the external validation study
title_fullStr	The ensemble learning model is not better than the Asian modified CKD-EPI equation for glomerular filtration rate estimation in Chinese CKD patients in the external validation study
title_full_unstemmed	The ensemble learning model is not better than the Asian modified CKD-EPI equation for glomerular filtration rate estimation in Chinese CKD patients in the external validation study
title_sort	ensemble learning model is not better than the asian modified ckd-epi equation for glomerular filtration rate estimation in chinese ckd patients in the external validation study
publisher	BMC
publishDate	2021
url	https://doaj.org/article/03abed7134e440cab19871b44f8ea392
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The ensemble learning model is not better than the Asian modified CKD-EPI equation for glomerular filtration rate estimation in Chinese CKD patients in the external validation study

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