@article{c0844d7a339f432c872eef7b7510ce02,
title = "Prospects for improved glomerular filtration rate estimation based on creatinine-results from a transnational multicentre study",
abstract = "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 ¼ 8365) and in patients with low likelihood of CKD (six community cohorts, n ¼ 6759). Comparisons were made with the Lund-Malm{\"o} 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 m2 in median in both cohort types at mGFR levels <120 mL/min/1.73 m2. LMR had greater accuracy than CKD-EPI in the CKD cohorts (P30, 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 P30 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.",
keywords = "Chronic kidney disease, Creatinine, Glomerular filtration rate, Kidney function tests, Renal failure",
author = "Jonas Bj{\"o}rk and Ulf Nyman and Marie Courbebaisse and Lionel Couzi and Dalton, {R. Neil} and Laurence Dubourg and Natalie Ebert and Eriksen, {Bj{\"o}rn O.} and Francois Gaillard and Cyril Garrouste and Anders Grubb and Magnus Hansson and Lola Jacquemont and Ian Jones and Nassim Kamar and Lamb, {Edmund J.} and Christophe Legendre and Karin Littmann and Christophe Mariat and Toralf Melsom and Lionel Rostaing and Rule, {Andrew D.} and Elke Schaeffner and Sundin, {Per Ola} and Stephen Turner and Anna Akesson and Pierre Delanaye and Hans Pottel",
note = "Funding Information: The Chronic Renal Insufficiency Cohort Study (CRIC) was conducted by the CRIC Investigators and supported by the National Institute of Diabetes and Digestive and Kidney Funding Information: The Chronic Renal Insufficiency Cohort Study (CRIC) was conducted by the CRIC Investigators and supported by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). The data from the CRIC Study reported here were supplied by the NIDDK Central Repositories. This manuscript was not prepared in collaboration with investigators of the CRIC study and does not necessarily reflect the opinions or views of the CRIC study, the NIDDK Central Repositories or the NIDDK. We also thank Physiologist Dr Marion Vallet and Physiologist Dr Renaud de la Faille for measuring glomerular filtration rate at Toulouse and Bordeaux University Hospital, respectively. J.B., U.N., M.C., L.D., N.E., B.O.E., F.G., A.G., E.J.L., T.M., A.D.R., E.S., P.D. and H.P. are members of the European Kidney Function Consortium. Publisher Copyright: {\textcopyright} The Author(s) 2020. Published by Oxford University Press on behalf of ERA-EDTA. 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",
year = "2020",
doi = "10.1093/CKJ/SFAA039",
language = "English (US)",
volume = "13",
pages = "674--683",
journal = "CKJ: Clinical Kidney Journal",
issn = "2048-8505",
publisher = "Oxford University Press",
number = "4",
}