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Prospects for improved glomerular filtration rate estimation based on creatinine—results from a transnational multicentre study

BACKGROUND: The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine equation is routinely used to assess renal function but exhibits varying accuracy depending on patient characteristics and clinical presentation. The overall aim of the present study was to assess if and to what e...

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Autores principales: Björk, Jonas, Nyman, Ulf, Courbebaisse, Marie, Couzi, Lionel, Dalton, R Neil, Dubourg, Laurence, Ebert, Natalie, Eriksen, Björn O, Gaillard, Francois, Garrouste, Cyril, Grubb, Anders, Hansson, Magnus, Jacquemont, Lola, Jones, Ian, Kamar, Nassim, Lamb, Edmund J, Legendre, Christophe, Littmann, Karin, Mariat, Christophe, Melsom, Toralf, Rostaing, Lionel, Rule, Andrew D, Schaeffner, Elke, Sundin, Per-Ola, Turner, Stephen, Åkesson, Anna, Delanaye, Pierre, Pottel, Hans
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7467594/
https://www.ncbi.nlm.nih.gov/pubmed/32905314
http://dx.doi.org/10.1093/ckj/sfaa039
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author Björk, Jonas
Nyman, Ulf
Courbebaisse, Marie
Couzi, Lionel
Dalton, R Neil
Dubourg, Laurence
Ebert, Natalie
Eriksen, Björn O
Gaillard, Francois
Garrouste, Cyril
Grubb, Anders
Hansson, Magnus
Jacquemont, Lola
Jones, Ian
Kamar, Nassim
Lamb, Edmund J
Legendre, Christophe
Littmann, Karin
Mariat, Christophe
Melsom, Toralf
Rostaing, Lionel
Rule, Andrew D
Schaeffner, Elke
Sundin, Per-Ola
Turner, Stephen
Åkesson, Anna
Delanaye, Pierre
Pottel, Hans
author_facet Björk, Jonas
Nyman, Ulf
Courbebaisse, Marie
Couzi, Lionel
Dalton, R Neil
Dubourg, Laurence
Ebert, Natalie
Eriksen, Björn O
Gaillard, Francois
Garrouste, Cyril
Grubb, Anders
Hansson, Magnus
Jacquemont, Lola
Jones, Ian
Kamar, Nassim
Lamb, Edmund J
Legendre, Christophe
Littmann, Karin
Mariat, Christophe
Melsom, Toralf
Rostaing, Lionel
Rule, Andrew D
Schaeffner, Elke
Sundin, Per-Ola
Turner, Stephen
Åkesson, Anna
Delanaye, Pierre
Pottel, Hans
author_sort Björk, Jonas
collection PubMed
description BACKGROUND: The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine equation is routinely used to assess renal function but exhibits varying accuracy depending on patient characteristics and clinical presentation. The overall aim of the present study was to assess if and to what extent glomerular filtration rate (GFR) estimation based on creatinine can be improved. METHODS: In a cross-sectional analysis covering the years 2003–17, CKD-EPI was validated against measured GFR (mGFR; using various tracer methods) in patients with high likelihood of chronic kidney disease (CKD; five CKD cohorts, n = 8365) and in patients with low likelihood of CKD (six community cohorts, n = 6759). Comparisons were made with the Lund–Malmö revised equation (LMR) and the Full Age Spectrum equation. RESULTS: 7In patients aged 18–39 years old, CKD-EPI overestimated GFR with 5.0–16 mL/min/1.73 m(2) in median in both cohort types at mGFR levels <120 mL/min/1.73 m(2). LMR had greater accuracy than CKD-EPI in the CKD cohorts (P(30), the percentage of estimated GFR within 30% of mGFR, 83.5% versus 76.6%). CKD-EPI was generally the most accurate equation in the community cohorts, but all three equations reached P(30) above the Kidney Disease Outcomes Quality Initiative benchmark of 90%. CONCLUSIONS: None of the evaluated equations made optimal use of available data. Prospects for improved GFR estimation procedures based on creatinine exist, particularly in young adults and in settings where patients with suspected or manifest CKD are investigated.
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spelling pubmed-74675942020-09-03 Prospects for improved glomerular filtration rate estimation based on creatinine—results from a transnational multicentre study Björk, Jonas Nyman, Ulf Courbebaisse, Marie Couzi, Lionel Dalton, R Neil Dubourg, Laurence Ebert, Natalie Eriksen, Björn O Gaillard, Francois Garrouste, Cyril Grubb, Anders Hansson, Magnus Jacquemont, Lola Jones, Ian Kamar, Nassim Lamb, Edmund J Legendre, Christophe Littmann, Karin Mariat, Christophe Melsom, Toralf Rostaing, Lionel Rule, Andrew D Schaeffner, Elke Sundin, Per-Ola Turner, Stephen Åkesson, Anna Delanaye, Pierre Pottel, Hans Clin Kidney J Original Articles BACKGROUND: The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine equation is routinely used to assess renal function but exhibits varying accuracy depending on patient characteristics and clinical presentation. The overall aim of the present study was to assess if and to what extent glomerular filtration rate (GFR) estimation based on creatinine can be improved. METHODS: In a cross-sectional analysis covering the years 2003–17, CKD-EPI was validated against measured GFR (mGFR; using various tracer methods) in patients with high likelihood of chronic kidney disease (CKD; five CKD cohorts, n = 8365) and in patients with low likelihood of CKD (six community cohorts, n = 6759). Comparisons were made with the Lund–Malmö revised equation (LMR) and the Full Age Spectrum equation. RESULTS: 7In patients aged 18–39 years old, CKD-EPI overestimated GFR with 5.0–16 mL/min/1.73 m(2) in median in both cohort types at mGFR levels <120 mL/min/1.73 m(2). LMR had greater accuracy than CKD-EPI in the CKD cohorts (P(30), the percentage of estimated GFR within 30% of mGFR, 83.5% versus 76.6%). CKD-EPI was generally the most accurate equation in the community cohorts, but all three equations reached P(30) above the Kidney Disease Outcomes Quality Initiative benchmark of 90%. CONCLUSIONS: None of the evaluated equations made optimal use of available data. Prospects for improved GFR estimation procedures based on creatinine exist, particularly in young adults and in settings where patients with suspected or manifest CKD are investigated. Oxford University Press 2020-06-13 /pmc/articles/PMC7467594/ /pubmed/32905314 http://dx.doi.org/10.1093/ckj/sfaa039 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of ERA-EDTA. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Articles
Björk, Jonas
Nyman, Ulf
Courbebaisse, Marie
Couzi, Lionel
Dalton, R Neil
Dubourg, Laurence
Ebert, Natalie
Eriksen, Björn O
Gaillard, Francois
Garrouste, Cyril
Grubb, Anders
Hansson, Magnus
Jacquemont, Lola
Jones, Ian
Kamar, Nassim
Lamb, Edmund J
Legendre, Christophe
Littmann, Karin
Mariat, Christophe
Melsom, Toralf
Rostaing, Lionel
Rule, Andrew D
Schaeffner, Elke
Sundin, Per-Ola
Turner, Stephen
Åkesson, Anna
Delanaye, Pierre
Pottel, Hans
Prospects for improved glomerular filtration rate estimation based on creatinine—results from a transnational multicentre study
title Prospects for improved glomerular filtration rate estimation based on creatinine—results from a transnational multicentre study
title_full Prospects for improved glomerular filtration rate estimation based on creatinine—results from a transnational multicentre study
title_fullStr Prospects for improved glomerular filtration rate estimation based on creatinine—results from a transnational multicentre study
title_full_unstemmed Prospects for improved glomerular filtration rate estimation based on creatinine—results from a transnational multicentre study
title_short Prospects for improved glomerular filtration rate estimation based on creatinine—results from a transnational multicentre study
title_sort prospects for improved glomerular filtration rate estimation based on creatinine—results from a transnational multicentre study
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7467594/
https://www.ncbi.nlm.nih.gov/pubmed/32905314
http://dx.doi.org/10.1093/ckj/sfaa039
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