Show simple item record

dc.rights.licenseopenen_US
dc.contributor.authorDELANAYE, Pierre
dc.contributor.authorDERAIN-DUBOURG, Laurence
dc.contributor.authorBJÖRK, Jonas
dc.contributor.authorCOURBEBAISSE, Marie
hal.structure.identifierImmunology from Concept and Experiments to Translation = Immunologie Conceptuelle, Expérimentale et Translationnelle [ImmunoConcept]
dc.contributor.authorCOUZI, Lionel
dc.contributor.authorGAILLARD, Francois
dc.contributor.authorGARROUSTE, Cyril
dc.contributor.authorGRUBB, Anders
dc.contributor.authorJACQUEMONT, Lola
dc.contributor.authorHANSSON, Magnus
dc.contributor.authorKAMAR, Nassim
dc.contributor.authorLEGENDRE, Christophe
dc.contributor.authorLITTMANN, Karin
dc.contributor.authorMARIAT, Christophe
dc.contributor.authorROSTAING, Lionel
dc.contributor.authorRULE, Andrew D.
dc.contributor.authorSUNDIN, Per-Ola
dc.contributor.authorBÖKENKAMP, Arend
dc.contributor.authorBERG, Ulla
dc.contributor.authorÅSLING-MONEMI, Kajsa
dc.contributor.authorÅKESSON, Anna
dc.contributor.authorLARSSON, Anders
dc.contributor.authorNYMAN, Ulf
dc.contributor.authorPOTTEL, Hans
dc.date.accessioned2025-02-03T09:28:22Z
dc.date.available2025-02-03T09:28:22Z
dc.date.issued2024-09
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/204698
dc.description.abstractEnBackground. 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.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subject.enCreatinine
dc.subject.enGlomerular filtration rate
dc.subject.enYoung adult
dc.title.enEstimating glomerular filtration in young people
dc.typeArticle de revueen_US
dc.identifier.doi10.1093/ckj/sfae261en_US
dc.subject.halSciences du Vivant [q-bio]/Immunologieen_US
dc.identifier.pubmed39314869en_US
bordeaux.journalClinical Kidney Journalen_US
bordeaux.volume17en_US
bordeaux.hal.laboratoriesImmunoConcEpT - UMR 5164en_US
bordeaux.issue9en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionCNRSen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-04926133
hal.version1
hal.date.transferred2025-02-03T09:28:25Z
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
dc.rights.ccCC BYen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Clinical%20Kidney%20Journal&rft.date=2024-09&rft.volume=17&rft.issue=9&rft.au=DELANAYE,%20Pierre&DERAIN-DUBOURG,%20Laurence&BJ%C3%96RK,%20Jonas&COURBEBAISSE,%20Marie&COUZI,%20Lionel&rft.genre=article


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record