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 = 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 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.

• Authors: Jonas Björk, Ulf Nyman, Marie Courbebaisse, Lionel Couzi, R Neil Dalton, Laurence Dubourg, Natalie Ebert, Björn O Eriksen, Francois Gaillard, Cyril Garrouste, Anders Grubb, Magnus Hansson, Lola Jacquemont, Ian Jones, Nassim Kamar, Edmund J Lamb, Christophe Legendre, Karin Littmann, Christophe Mariat, Toralf Melsom, Lionel Rostaing, Andrew D Rule, Elke Schaeffner, Per-Ola Sundin, Stephen Turner, Anna Åkesson, Pierre Delanaye, Hans Pottel
• Journal: Clinical kidney journal (Clin Kidney J) Vol. 13 Issue 4 Pg. 674-683 (Aug 2020) ISSN: 2048-8505 [Print] England
• PMID: 32905314 (Publication Type: Journal Article)
• Copyright: © The Author(s) 2020. Published by Oxford University Press on behalf of ERA-EDTA.