Afficher la notice abrégée

dc.rights.licenseopenen_US
dc.contributor.authorOOMEN, Loes
dc.contributor.authorDE WALL, Liesbeth L
dc.contributor.authorTONSHOFF, Burkhard
dc.contributor.authorKRUPKA, Kai
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorHARAMBAT, Jerome
IDREF: 110567358
dc.contributor.authorHOGAN, Julien
dc.contributor.authorCOUCHOUD, Cecile
dc.contributor.authorSAVOYE, Emilie
dc.contributor.authorDE JONG, Huib
dc.contributor.authorCORNELISSEN, Elisabeth A M
dc.contributor.authorBOUTS, Antonia H M
dc.contributor.authorKEIJZER-VEEN, Mandy G
dc.contributor.authorFEITZ, Wout F J
dc.contributor.authorBOOTSMA-ROBROEKS, Charlotte M H H T
dc.date.accessioned2025-04-23T09:35:59Z
dc.date.available2025-04-23T09:35:59Z
dc.date.issued2025-03-01
dc.identifier.issn2048-8505en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/206356
dc.description.abstractEnBackground A pre-transplant prediction model using commonly available factors is valuable for optimizing donor selection, communication, and counseling for pediatric kidney transplant (PKT) recipients. This study aims to externally validate a Dutch PKT prediction model and assess its international applicability.Materials and methods Data from the Dutch-, CERTAIN-, and CRISTAL registries, covering PKT from 2005 to 2021, were used. The Dutch prediction model was externally validated in a German and French cohort and then adapted to these specific countries. An international prediction model was also developed using all available data. Models were based on 80% derivation cohorts and internally validated using areas under the receiver operating characteristic curve (ROC-AUC) and calibration plots.Results Of 3266 transplantations, 2475 (273 Dutch, 356 German, 1622 French, and 224 other) were used for analysis. Cohorts differed significantly in baseline characteristics and outcomes. Internal validation of the Dutch model showed ROC-AUC of 0.77 and 0.75 at 10 and 15 years. External validation in German and French cohorts yielded 10-year ROC-AUC of 0.63 and 0.60, respectively. Internal validation of the international prediction model showed AUC of 0.61 and 0.60 at 10 and 15 years with poor calibration, indicating inferior performance. The adapted national models showed better internal validation performance, with 10-year ROC-AUC of 0.77, 0.76, and 0.73 in Dutch, French, and German cohorts, respectively.Results Of 3266 transplantations, 2475 (273 Dutch, 356 German, 1622 French, and 224 other) were used for analysis. Cohorts differed significantly in baseline characteristics and outcomes. Internal validation of the Dutch model showed ROC-AUC of 0.77 and 0.75 at 10 and 15 years. External validation in German and French cohorts yielded 10-year ROC-AUC of 0.63 and 0.60, respectively. Internal validation of the international prediction model showed AUC of 0.61 and 0.60 at 10 and 15 years with poor calibration, indicating inferior performance. The adapted national models showed better internal validation performance, with 10-year ROC-AUC of 0.77, 0.76, and 0.73 in Dutch, French, and German cohorts, respectively.Conclusions The Dutch PKT prediction tool requires country-specific adaptations for use in other countries, given the diversity of clinical practice across Europe. A country-specific model is preferable to an international model in the current landscape.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subject.enGraft Survival
dc.subject.enPediatric Kidney Transplantation
dc.subject.enPrediction Model
dc.subject.enValidation Study
dc.title.enInternational validation of a pre-transplant risk assessment tool for graft survival in pediatric kidney transplant recipients
dc.title.alternativeClin Kidney Jen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1093/ckj/sfaf031en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed40052169en_US
bordeaux.journalClinical Kidney Journalen_US
bordeaux.pagesfaf031en_US
bordeaux.volume18en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.issue3en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.teamLEHA_BPHen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-05043817
hal.version1
hal.date.transferred2025-04-23T09:36:04Z
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Clinical%20Kidney%20Journal&rft.date=2025-03-01&rft.volume=18&rft.issue=3&rft.spage=sfaf031&rft.epage=sfaf031&rft.eissn=2048-8505&rft.issn=2048-8505&rft.au=OOMEN,%20Loes&DE%20WALL,%20Liesbeth%20L&TONSHOFF,%20Burkhard&KRUPKA,%20Kai&HARAMBAT,%20Jerome&rft.genre=article


Fichier(s) constituant ce document

Thumbnail
Thumbnail

Ce document figure dans la(les) collection(s) suivante(s)

Afficher la notice abrégée