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Existing creatinine-based equations overestimate glomerular filtration rate in Indians
BACKGROUND: Accurate estimation of glomerular filtration rate (GFR) is important for diagnosis and risk stratification in chronic kidney disease and for selection of living donors. Ethnic differences have required correction factors in the originally developed creatinine-based GFR estimation equatio...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5796440/ https://www.ncbi.nlm.nih.gov/pubmed/29390980 http://dx.doi.org/10.1186/s12882-018-0813-9 |
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author | Kumar, Vivek Yadav, Ashok Kumar Yasuda, Yoshinari Horio, Masaru Kumar, Vinod Sahni, Nancy Gupta, Krishan L. Matsuo, Seiichi Kohli, Harbir Singh Jha, Vivekanand |
author_facet | Kumar, Vivek Yadav, Ashok Kumar Yasuda, Yoshinari Horio, Masaru Kumar, Vinod Sahni, Nancy Gupta, Krishan L. Matsuo, Seiichi Kohli, Harbir Singh Jha, Vivekanand |
author_sort | Kumar, Vivek |
collection | PubMed |
description | BACKGROUND: Accurate estimation of glomerular filtration rate (GFR) is important for diagnosis and risk stratification in chronic kidney disease and for selection of living donors. Ethnic differences have required correction factors in the originally developed creatinine-based GFR estimation equations for populations around the world. Existing equations have not been validated in the vegetarian Indian population. We examined the performance of creatinine and cystatin-based GFR estimating equations in Indians. METHODS: GFR was measured by urinary clearance of inulin. Serum creatinine was measured using IDMS-traceable Jaffe’s and enzymatic assays, and cystatin C by colloidal gold immunoassay. Dietary protein intake was calculated by measuring urinary nitrogen appearance. Bias, precision and accuracy were calculated for the eGFR equations. RESULTS: A total of 130 participants (63 healthy kidney donors and 67 with CKD) were studied. About 50% were vegetarians, and the remainder ate meat 3.8 times every month. The average creatinine excretion were 14.7 mg/kg/day (95% CI: 13.5 to 15.9 mg/kg/day) and 12.4 mg/kg/day (95% CI: 11.2 to 13.6 mg/kg/day) in males and females, respectively. The average daily protein intake was 46.1 g/day (95% CI: 43.2 to 48.8 g/day). The mean mGFR in the study population was 51.66 ± 31.68 ml/min/1.73m(2). All creatinine-based eGFR equations overestimated GFR (p < 0.01 for each creatinine based eGFR equation). However, eGFR by CKD-EPI(Cys) was not significantly different from mGFR (p = 0.38). The CKD-EPI(Cys) exhibited lowest bias [mean bias: −3.53 ± 14.70 ml/min/1.73m(2) (95% CI: -0.608 to −0.98)] and highest accuracy (P(30): 74.6%). The GFR in the healthy population was 79.44 ± 20.19 (range: 41.90–134.50) ml/min/1.73m(2). CONCLUSION: Existing creatinine-based GFR estimating equations overestimate GFR in Indians. An appropriately powered study is needed to develop either a correction factor or a new equation for accurate assessment of kidney function in the Indian population. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12882-018-0813-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5796440 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-57964402018-02-12 Existing creatinine-based equations overestimate glomerular filtration rate in Indians Kumar, Vivek Yadav, Ashok Kumar Yasuda, Yoshinari Horio, Masaru Kumar, Vinod Sahni, Nancy Gupta, Krishan L. Matsuo, Seiichi Kohli, Harbir Singh Jha, Vivekanand BMC Nephrol Research Article BACKGROUND: Accurate estimation of glomerular filtration rate (GFR) is important for diagnosis and risk stratification in chronic kidney disease and for selection of living donors. Ethnic differences have required correction factors in the originally developed creatinine-based GFR estimation equations for populations around the world. Existing equations have not been validated in the vegetarian Indian population. We examined the performance of creatinine and cystatin-based GFR estimating equations in Indians. METHODS: GFR was measured by urinary clearance of inulin. Serum creatinine was measured using IDMS-traceable Jaffe’s and enzymatic assays, and cystatin C by colloidal gold immunoassay. Dietary protein intake was calculated by measuring urinary nitrogen appearance. Bias, precision and accuracy were calculated for the eGFR equations. RESULTS: A total of 130 participants (63 healthy kidney donors and 67 with CKD) were studied. About 50% were vegetarians, and the remainder ate meat 3.8 times every month. The average creatinine excretion were 14.7 mg/kg/day (95% CI: 13.5 to 15.9 mg/kg/day) and 12.4 mg/kg/day (95% CI: 11.2 to 13.6 mg/kg/day) in males and females, respectively. The average daily protein intake was 46.1 g/day (95% CI: 43.2 to 48.8 g/day). The mean mGFR in the study population was 51.66 ± 31.68 ml/min/1.73m(2). All creatinine-based eGFR equations overestimated GFR (p < 0.01 for each creatinine based eGFR equation). However, eGFR by CKD-EPI(Cys) was not significantly different from mGFR (p = 0.38). The CKD-EPI(Cys) exhibited lowest bias [mean bias: −3.53 ± 14.70 ml/min/1.73m(2) (95% CI: -0.608 to −0.98)] and highest accuracy (P(30): 74.6%). The GFR in the healthy population was 79.44 ± 20.19 (range: 41.90–134.50) ml/min/1.73m(2). CONCLUSION: Existing creatinine-based GFR estimating equations overestimate GFR in Indians. An appropriately powered study is needed to develop either a correction factor or a new equation for accurate assessment of kidney function in the Indian population. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12882-018-0813-9) contains supplementary material, which is available to authorized users. BioMed Central 2018-02-01 /pmc/articles/PMC5796440/ /pubmed/29390980 http://dx.doi.org/10.1186/s12882-018-0813-9 Text en © The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Kumar, Vivek Yadav, Ashok Kumar Yasuda, Yoshinari Horio, Masaru Kumar, Vinod Sahni, Nancy Gupta, Krishan L. Matsuo, Seiichi Kohli, Harbir Singh Jha, Vivekanand Existing creatinine-based equations overestimate glomerular filtration rate in Indians |
title | Existing creatinine-based equations overestimate glomerular filtration rate in Indians |
title_full | Existing creatinine-based equations overestimate glomerular filtration rate in Indians |
title_fullStr | Existing creatinine-based equations overestimate glomerular filtration rate in Indians |
title_full_unstemmed | Existing creatinine-based equations overestimate glomerular filtration rate in Indians |
title_short | Existing creatinine-based equations overestimate glomerular filtration rate in Indians |
title_sort | existing creatinine-based equations overestimate glomerular filtration rate in indians |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5796440/ https://www.ncbi.nlm.nih.gov/pubmed/29390980 http://dx.doi.org/10.1186/s12882-018-0813-9 |
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