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Estimating glomerular filtration in young people

Delanaye, Pierre ; Derain-Dubourg, Laurence ; Björk, Jonas LU ; Courbebaisse, Marie ; Couzi, Lionel ; Gaillard, Francois ; Garrouste, Cyril ; Grubb, Anders LU orcid ; Jacquemont, Lola and Hansson, Magnus , et al. (2024) In Clinical Kidney Journal 17(9). p.261-261
Abstract

BACKGROUND: Creatinine-based equations are the most used to estimate glomerular filtration rate (eGFR). The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI), the re-expressed Lund-Malmö Revised (r-LMR) and the European Kidney Function Consortium (EKFC) equations are the most validated. The EKFC and r-LMR equations have been suggested to have better performances in young adults, but this is debated.

METHODS: We collected data (GFR) measured by clearance of an exogenous marker (reference method), serum creatinine, age and sex from 2366 young adults (aged between 18 and 25 years) both from Europe and the USA.

RESULTS: In the European cohorts (n = 1892), the bias (in mL/min/1.73 m²) was systematically better for the... (More)

BACKGROUND: Creatinine-based equations are the most used to estimate glomerular filtration rate (eGFR). The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI), the re-expressed Lund-Malmö Revised (r-LMR) and the European Kidney Function Consortium (EKFC) equations are the most validated. The EKFC and r-LMR equations have been suggested to have better performances in young adults, but this is debated.

METHODS: We collected data (GFR) measured by clearance of an exogenous marker (reference method), serum creatinine, age and sex from 2366 young adults (aged between 18 and 25 years) both from Europe and the USA.

RESULTS: In the European cohorts (n = 1892), the bias (in mL/min/1.73 m²) was systematically better for the EKFC and r-LMR equations compared with the CKD-EPI equation [2.28, 95% confidence interval (1.59; 2.91), -2.50 (-3.85; -1.76), 17.41 (16.49; 18.47), respectively]. The percentage of estimated GFR within 30% of measured GFR (P30) was also better for EKFC and r-LMR equations compared with the CKD-EPI equation [84.4% (82.8; 86.0), 87.2% (85.7; 88.7) and 65.4% (63.3; 67.6), respectively]. In the US cohorts (n = 474), the bias for the EKFC and r-LMR equations was better than for the CKD-EPI equation in the non-Black population [0.97 (-1.69; 3.06), -2.62 (-5.14; -1.43) and 7.74 (5.97; 9.63), respectively], whereas the bias was similar in Black US individuals. P30 results were not different between the three equations in US cohorts. Analyses in sub-populations confirmed these results, except in individuals with high GFR levels (GFR ≥120 mL/min/1.73 m²) for whom the CKD-EPI equation might have a lower bias.

CONCLUSIONS: We demonstrated that both the EKFC and r-LMR creatinine-based equations have a better performance than the CKD-EPI equation in a young population. The only exception might be in patients with hyperfiltration.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Clinical Kidney Journal
volume
17
issue
9
pages
261 - 261
publisher
Oxford University Press
external identifiers
  • pmid:39314869
  • scopus:85204485181
ISSN
2048-8505
DOI
10.1093/ckj/sfae261
language
English
LU publication?
yes
additional info
© The Author(s) 2024. Published by Oxford University Press on behalf of the ERA.
id
52f8c028-e430-455f-a328-b7cc264c5151
date added to LUP
2024-09-25 08:40:46
date last changed
2024-12-13 17:09:58
@article{52f8c028-e430-455f-a328-b7cc264c5151,
  abstract     = {{<p>BACKGROUND: Creatinine-based equations are the most used to estimate glomerular filtration rate (eGFR). The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI), the re-expressed Lund-Malmö Revised (r-LMR) and the European Kidney Function Consortium (EKFC) equations are the most validated. The EKFC and r-LMR equations have been suggested to have better performances in young adults, but this is debated.</p><p>METHODS: We collected data (GFR) measured by clearance of an exogenous marker (reference method), serum creatinine, age and sex from 2366 young adults (aged between 18 and 25 years) both from Europe and the USA.</p><p>RESULTS: In the European cohorts (n = 1892), the bias (in mL/min/1.73 m²) was systematically better for the EKFC and r-LMR equations compared with the CKD-EPI equation [2.28, 95% confidence interval (1.59; 2.91), -2.50 (-3.85; -1.76), 17.41 (16.49; 18.47), respectively]. The percentage of estimated GFR within 30% of measured GFR (P30) was also better for EKFC and r-LMR equations compared with the CKD-EPI equation [84.4% (82.8; 86.0), 87.2% (85.7; 88.7) and 65.4% (63.3; 67.6), respectively]. In the US cohorts (n = 474), the bias for the EKFC and r-LMR equations was better than for the CKD-EPI equation in the non-Black population [0.97 (-1.69; 3.06), -2.62 (-5.14; -1.43) and 7.74 (5.97; 9.63), respectively], whereas the bias was similar in Black US individuals. P30 results were not different between the three equations in US cohorts. Analyses in sub-populations confirmed these results, except in individuals with high GFR levels (GFR ≥120 mL/min/1.73 m²) for whom the CKD-EPI equation might have a lower bias.</p><p>CONCLUSIONS: We demonstrated that both the EKFC and r-LMR creatinine-based equations have a better performance than the CKD-EPI equation in a young population. The only exception might be in patients with hyperfiltration.</p>}},
  author       = {{Delanaye, Pierre and Derain-Dubourg, Laurence and Björk, Jonas and Courbebaisse, Marie and Couzi, Lionel and Gaillard, Francois and Garrouste, Cyril and Grubb, Anders and Jacquemont, Lola and Hansson, Magnus and Kamar, Nassim and Legendre, Christophe and Littmann, Karin and Mariat, Christophe and Rostaing, Lionel and Rule, Andrew D and Sundin, Per-Ola and Bökenkamp, Arend and Berg, Ulla and Åsling-Monemi, Kajsa and Åkesson, Anna and Larsson, Anders and Nyman, Ulf and Pottel, Hans}},
  issn         = {{2048-8505}},
  language     = {{eng}},
  number       = {{9}},
  pages        = {{261--261}},
  publisher    = {{Oxford University Press}},
  series       = {{Clinical Kidney Journal}},
  title        = {{Estimating glomerular filtration in young people}},
  url          = {{http://dx.doi.org/10.1093/ckj/sfae261}},
  doi          = {{10.1093/ckj/sfae261}},
  volume       = {{17}},
  year         = {{2024}},
}