Literature DB >> 22257305

Is the Chronic Kidney Disease Epidemiology Collaboration four-level race equation better than the cystatin C equation?

Xin DU1, Lin Liu, Bo Hu, Feng Wang, Xin Wan, Linglin Jiang, Ruisheng Zhang, Changchun Cao.   

Abstract

AIM: To evaluate the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) four-level race equation in the assessment of glomerular filtration rate (GFR) in Chinese people with chronic kidney disease (CKD), which was published in 2011, compared with the cystatin C-based GFR estimation equation (CysC GFR) and the combination of CysC and serum creatinine equation (CysC-Scr GFR).
METHODS: The CKD-EPI four-level race equation estimated GFR (CKD-EPI GFR) was compared with the CysC GFR and CysC-Scr GFR. Three equations were compared with body surface area (BSA) standardized GFR (sGFR), which was measured by (99m) Tc-DTPA renal dynamic imaging method in 111 CKD cases.
RESULTS: A statistically significant correlation was found between sGFR and CKD-EPI GFR, CysC GFR and CysC-Scr GFR. Three estimated GFR (eGFR) equations of 30% accuracy were 58.6%, 56.8% and 63.5%, respectively. Average deviations of eGFR from sGFR were 2.34, 1.19, and 1.32 (mL/min per 1.73 m(2)) (P > 0.05), respectively. There was no significant deviation in the CKD from stages 1 to 5 in CKD-EPI GFR and CysC-Scr GFR. However, when estimated by CysC GFR, the deviation was increased, with the value of 12.41 mL/min per 1.73 m(2) (P= 0.002) in CKD stage 5.
CONCLUSION: Our results showed that in a Chinese population with CKD, CKD-EPI GFR, CysC GFR and CysC-Scr GFR of bias and overall accuracy of 30% were very similar. There was little advantage in adding Asian coefficient to modifying the CKD-EPI equation. CysC GFR overestimated GFR in patients with CKD stages 4 and 5.
© 2012 The Authors. Nephrology © 2012 Asian Pacific Society of Nephrology.

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Year:  2012        PMID: 22257305     DOI: 10.1111/j.1440-1797.2012.01568.x

Source DB:  PubMed          Journal:  Nephrology (Carlton)        ISSN: 1320-5358            Impact factor:   2.506


  13 in total

1.  Assessment of glomerular filtration rate in elderly patients with chronic kidney disease.

Authors:  Xun Liu; Jinxia Chen; Cheng Wang; Chenggang Shi; Cailian Cheng; Hua Tang; Tanqi Lou
Journal:  Int Urol Nephrol       Date:  2013-07-25       Impact factor: 2.370

2.  Artificial neural network for the prediction model of glomerular filtration rate to estimate the normal or abnormal stages of kidney using gamma camera.

Authors:  Alamgir Hossain; Shariful Islam Chowdhury; Shupti Sarker; Mostofa Shamim Ahsan
Journal:  Ann Nucl Med       Date:  2021-09-07       Impact factor: 2.668

3.  Performance of the creatinine and cystatin C-based equations for estimation of GFR in Chinese patients with chronic kidney disease.

Authors:  Min Yang; Guang Xu; Lilu Ling; Jianying Niu; Tong Lu; Xin Du; Yong Gu
Journal:  Clin Exp Nephrol       Date:  2016-04-28       Impact factor: 2.801

4.  (99m)Tc-DTPA renal dynamic imaging method may be unsuitable to be used as the reference method in investigating the validity of CDK-EPI equation for determining glomerular filtration rate.

Authors:  Peng Xie; Jian-Min Huang; Xiao-Mei Liu; Wei-Jie Wu; Li-Ping Pan; Hai-Ying Lin
Journal:  PLoS One       Date:  2013-05-01       Impact factor: 3.240

5.  Variability of glomerular filtration rate estimation equations in elderly Chinese patients with chronic kidney disease.

Authors:  Xun Liu; Mu-hua Cheng; Cheng-gang Shi; Cheng Wang; Cai-lian Cheng; Jin-xia Chen; Hua Tang; Zhu-jiang Chen; Zeng-chun Ye; Tan-qi Lou
Journal:  Clin Interv Aging       Date:  2012-10-11       Impact factor: 4.458

6.  Improved glomerular filtration rate estimation by an artificial neural network.

Authors:  Xun Liu; Xiaohua Pei; Ningshan Li; Yunong Zhang; Xiang Zhang; Jinxia Chen; Linsheng Lv; Huijuan Ma; Xiaoming Wu; Weihong Zhao; Tanqi Lou
Journal:  PLoS One       Date:  2013-03-13       Impact factor: 3.240

7.  Estimation of glomerular filtration rate by a radial basis function neural network in patients with type-2 diabetes mellitus.

Authors:  Xun Liu; Yan-Ru Chen; Ning-shan Li; Cheng Wang; Lin-Sheng Lv; Ming Li; Xiao-Ming Wu; Tan-Qi Lou
Journal:  BMC Nephrol       Date:  2013-08-29       Impact factor: 2.388

8.  Modified glomerular filtration rate-estimating equations developed in asiatic population for chinese patients with type 2 diabetes.

Authors:  Xun Liu; Xilian Qiu; Chenggang Shi; Hui Huang; Jianhua Huang; Ming Li; Tanqi Lou
Journal:  Int J Endocrinol       Date:  2014-03-05       Impact factor: 3.257

9.  Pitfalls in the Measurements and Assesment of Glomerular Filtration Rate and How to Escape them.

Authors:  Oliver Rácz; Ján Lepej; Bertalan Fodor; Katarína Lepejová; Peter Jarčuška; Anna Kováčová
Journal:  EJIFCC       Date:  2012-07-18

Review 10.  Establishing the presence or absence of chronic kidney disease: Uses and limitations of formulas estimating the glomerular filtration rate.

Authors:  Ahmed Alaini; Deepak Malhotra; Helbert Rondon-Berrios; Christos P Argyropoulos; Zeid J Khitan; Dominic S C Raj; Mark Rohrscheib; Joseph I Shapiro; Antonios H Tzamaloukas
Journal:  World J Methodol       Date:  2017-09-26
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