Revised Equations to Estimate Glomerular Filtration Rate from Serum Creatinine and Cystatin C in China

Aim: Our previous study demonstrated that the cystatin C-based chronic kidney disease (CKD)-EPI equation and combined by serum creatinine (CKD-EPIscr-cys) had better capability to accurately evaluate glomerular filtration rate in the CKD participants. Considering that the accuracy of estimated glome...

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Main Authors: Min Yang, Yonghua Zou, Tong Lu, Yule Nan, Jianying Niu, Xin Du, Yong Gu
Format: Article
Language:English
Published: Karger Publishers 2019-06-01
Series:Kidney & Blood Pressure Research
Subjects:
Online Access:https://www.karger.com/Article/FullText/500460
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author Min Yang
Yonghua Zou
Tong Lu
Yule Nan
Jianying Niu
Xin Du
Yong Gu
author_facet Min Yang
Yonghua Zou
Tong Lu
Yule Nan
Jianying Niu
Xin Du
Yong Gu
author_sort Min Yang
collection DOAJ
description Aim: Our previous study demonstrated that the cystatin C-based chronic kidney disease (CKD)-EPI equation and combined by serum creatinine (CKD-EPIscr-cys) had better capability to accurately evaluate glomerular filtration rate in the CKD participants. Considering that the accuracy of estimated glomerular filtration rate (eGFR) remains less ideally, it is essential to modify the equation by including the Chinese eGFR racial factor in order to improve its performance. Methods: Two prospective cohorts were enrolled in 2 medical centers. New equations were developed in 529 participants and validated in 313 participants. Reference glomerular filtration rate (rGFR) was taken by 99mTc-DTPA renal dynamic imaging method (Gates method). The primary outcomes of this study were bias, precision (interquartile range of difference [IQR]), and accuracy (the proportion of eGFR within 30% of rGFR [P30] and root mean square error [RMSE]) of eGFR versus rGFR. Results: In a development data set, Chinese coefficients for CKD-EPIscr (C-CKD-EPIscr), CKD-EPIcys (C-CKD-EPIcys), and CKD-EPIscr-cys (C-CKD-EPIscr-cys) were 0.871, 0.879, and 0.891, respectively. In a validation data set, C-CKD-EPIcys was the most accurate with highest P30 value (62.3%), relative lowest IQR (15.45), and RMSE (0.80) among 6 equations, though the bias of C-CKD-EPIcys was not better than CKD-EPIcys. C-CKD-EPIscr and C-CKD-EPIscr-cys equations were improved in bias (p < 0.001), ­precision, and accuracy (p = 0.004 and <0.001 for P30) compared with CKD-EPIscr and CKD-EPIscr-cys. Conclusion: C-CKD-EPIcys was the most accurate with the highest P30 value, relative lowest IQR, and RMSE among 6 equations. C-CKD-EPIscr and C-CKD-EPIscr-cys equations were improved in bias, precision, and accuracy. Other external validation of these equations is needed.
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spelling doaj.art-89cfb6f5fc024dfd99f8bde7fbeba44d2022-12-21T19:18:11ZengKarger PublishersKidney & Blood Pressure Research1420-40961423-01432019-06-0111210.1159/000500460500460Revised Equations to Estimate Glomerular Filtration Rate from Serum Creatinine and Cystatin C in ChinaMin YangYonghua ZouTong LuYule NanJianying NiuXin DuYong GuAim: Our previous study demonstrated that the cystatin C-based chronic kidney disease (CKD)-EPI equation and combined by serum creatinine (CKD-EPIscr-cys) had better capability to accurately evaluate glomerular filtration rate in the CKD participants. Considering that the accuracy of estimated glomerular filtration rate (eGFR) remains less ideally, it is essential to modify the equation by including the Chinese eGFR racial factor in order to improve its performance. Methods: Two prospective cohorts were enrolled in 2 medical centers. New equations were developed in 529 participants and validated in 313 participants. Reference glomerular filtration rate (rGFR) was taken by 99mTc-DTPA renal dynamic imaging method (Gates method). The primary outcomes of this study were bias, precision (interquartile range of difference [IQR]), and accuracy (the proportion of eGFR within 30% of rGFR [P30] and root mean square error [RMSE]) of eGFR versus rGFR. Results: In a development data set, Chinese coefficients for CKD-EPIscr (C-CKD-EPIscr), CKD-EPIcys (C-CKD-EPIcys), and CKD-EPIscr-cys (C-CKD-EPIscr-cys) were 0.871, 0.879, and 0.891, respectively. In a validation data set, C-CKD-EPIcys was the most accurate with highest P30 value (62.3%), relative lowest IQR (15.45), and RMSE (0.80) among 6 equations, though the bias of C-CKD-EPIcys was not better than CKD-EPIcys. C-CKD-EPIscr and C-CKD-EPIscr-cys equations were improved in bias (p < 0.001), ­precision, and accuracy (p = 0.004 and <0.001 for P30) compared with CKD-EPIscr and CKD-EPIscr-cys. Conclusion: C-CKD-EPIcys was the most accurate with the highest P30 value, relative lowest IQR, and RMSE among 6 equations. C-CKD-EPIscr and C-CKD-EPIscr-cys equations were improved in bias, precision, and accuracy. Other external validation of these equations is needed.https://www.karger.com/Article/FullText/500460Serum cystatin CSerum creatinineEstimated glomerular filtration rateChronic kidney disease
spellingShingle Min Yang
Yonghua Zou
Tong Lu
Yule Nan
Jianying Niu
Xin Du
Yong Gu
Revised Equations to Estimate Glomerular Filtration Rate from Serum Creatinine and Cystatin C in China
Kidney & Blood Pressure Research
Serum cystatin C
Serum creatinine
Estimated glomerular filtration rate
Chronic kidney disease
title Revised Equations to Estimate Glomerular Filtration Rate from Serum Creatinine and Cystatin C in China
title_full Revised Equations to Estimate Glomerular Filtration Rate from Serum Creatinine and Cystatin C in China
title_fullStr Revised Equations to Estimate Glomerular Filtration Rate from Serum Creatinine and Cystatin C in China
title_full_unstemmed Revised Equations to Estimate Glomerular Filtration Rate from Serum Creatinine and Cystatin C in China
title_short Revised Equations to Estimate Glomerular Filtration Rate from Serum Creatinine and Cystatin C in China
title_sort revised equations to estimate glomerular filtration rate from serum creatinine and cystatin c in china
topic Serum cystatin C
Serum creatinine
Estimated glomerular filtration rate
Chronic kidney disease
url https://www.karger.com/Article/FullText/500460
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