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A Predictive Model for Progression of CKD to Kidney Failure Based on Routine Laboratory Tests.

dc.rights.licenseopenen_US
dc.contributor.authorZACHARIAS, Helena U
dc.contributor.authorALTENBUCHINGER, Michael
dc.contributor.authorSCHULTHEISS, Ulla T
dc.contributor.authorRAFFLER, Johannes
dc.contributor.authorKOTSIS, Fruzsina
dc.contributor.authorGHASEMI, Sahar
dc.contributor.authorALI, Ibrahim
dc.contributor.authorKOLLERITS, Barbara
dc.contributor.authorMETZGER, Marie
dc.contributor.authorSTEINBRENNER, Inga
dc.contributor.authorSEKULA, Peggy
dc.contributor.authorMASSY, Ziad A
hal.structure.identifierBioingénierie tissulaire [BIOTIS]
dc.contributor.authorCOMBE, Christian
dc.contributor.authorKALRA, Philip A
dc.contributor.authorKRONENBERG, Florian
dc.contributor.authorSTENGEL, Bénédicte
dc.contributor.authorECKARDT, Kai-Uwe
dc.contributor.authorKÖTTGEN, Anna
dc.contributor.authorSCHMID, Matthias
dc.contributor.authorGRONWALD, Wolfram
dc.contributor.authorOEFNER, Peter J
dc.date.accessioned2021-12-14T14:02:45Z
dc.date.available2021-12-14T14:02:45Z
dc.date.issued2022-02-01
dc.identifier.issn1523-6838en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/124145
dc.description.abstractEnStratification of chronic kidney disease (CKD) patients at risk for progressing to kidney failure requiring kidney replacement therapy (KFRT) is important for clinical decision-making and trial enrollment. Four independent prospective observational cohort studies. The development cohort comprised 4,915 CKD patients, and 3 independent validation cohorts comprised a total of 3,063. Patients were observed for approximately 5 years. 22 demographic, anthropometric, and laboratory variables commonly assessed in CKD patients. Progression to KFRT. A least absolute shrinkage and selection operator (LASSO) Cox proportional hazards model was fit to select laboratory variables that best identified patients at high risk for KFRT. Model discrimination and calibration were assessed and compared against the 4-variable Tangri (T4) risk equation both in a resampling approach within the development cohort and in the validation cohorts using cause-specific concordance (C) statistics, net reclassification improvement, and calibration graphs. The newly derived 6-variable risk score (Z6) included serum creatinine, albumin, cystatin C, and urea, as well as hemoglobin and the urinary albumin-creatinine ratio. In the the resampling approach, Z6 achieved a median C statistic of 0.909 (95% CI, 0.868-0.937) at 2 years after the baseline visit, whereas the T4 achieved a median C statistic of 0.855 (95% CI, 0.799-0.915). In the 3 independent validation cohorts, the Z6C statistics were 0.894, 0.921, and 0.891, whereas the T4C statistics were 0.882, 0.913, and 0.862. The Z6 was both derived and tested only in White European cohorts. A new risk equation based on 6 routinely available laboratory tests facilitates identification of patients with CKD who are at high risk of progressing to KFRT.
dc.language.isoENen_US
dc.subject.enChronic kidney disease (CKD)
dc.subject.enCKD progression
dc.subject.enend-stage kidney disease (ESKD)
dc.subject.enGerman Chronic Kidney Disease study
dc.subject.enkidney disease trajectory
dc.subject.enkidney failure requiring kidney replacement therapy (KFRT)
dc.subject.enkidney failure risk equation
dc.subject.enmachine learning
dc.subject.enrisk equation
dc.title.enA Predictive Model for Progression of CKD to Kidney Failure Based on Routine Laboratory Tests.
dc.title.alternativeAm J Kidney Disen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1053/j.ajkd.2021.05.018en_US
dc.subject.halSciences du Vivant [q-bio]/Biotechnologiesen_US
dc.identifier.pubmed34298143en_US
bordeaux.journalAmerican Journal of Kidney Diseasesen_US
bordeaux.hal.laboratoriesBioingénierie Tissulaire (BioTis) - UMR_S 1026en_US
bordeaux.institutionCNRSen_US
bordeaux.institutionINSERMen_US
bordeaux.institutionCHU de Bordeauxen_US
bordeaux.institutionInstitut Bergoniéen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcepubmed
hal.identifierhal-03479814
hal.version1
hal.date.transferred2021-12-14T14:02:48Z
hal.exporttrue
workflow.import.sourcepubmed
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=American%20Journal%20of%20Kidney%20Diseases&rft.date=2022-02-01&rft.eissn=1523-6838&rft.issn=1523-6838&rft.au=ZACHARIAS,%20Helena%20U&ALTENBUCHINGER,%20Michael&SCHULTHEISS,%20Ulla%20T&RAFFLER,%20Johannes&KOTSIS,%20Fruzsina&rft.genre=article


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