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Dynamic prediction models for graft failure in paediatric kidney transplantation

dc.rights.licenseopenen_US
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorKABORE, Remi
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorFERRER, Loic
dc.contributor.authorCOUCHOUD, C.
dc.contributor.authorHOGAN, J.
dc.contributor.authorCOCHAT, P.
dc.contributor.authorDEHOUX, L.
dc.contributor.authorROUSSEY-KESLER, G.
dc.contributor.authorNOVO, R.
dc.contributor.authorGARAIX, F.
dc.contributor.authorBROCHARD, K.
dc.contributor.authorFILA, M.
dc.contributor.authorPARMENTIER, C.
dc.contributor.authorFOURNIER, M. C.
dc.contributor.authorMACHER, M. A.
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorHARAMBAT, Jerome
IDREF: 110567358
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorLEFFONDRE, Karen
dc.date.accessioned2021-03-22T10:25:25Z
dc.date.available2021-03-22T10:25:25Z
dc.date.issued2020-09-29
dc.identifier.issn0931-0509en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/26759
dc.description.abstractEnBACKGROUND: Several models have been proposed to predict kidney graft failure in adult recipients but none in younger recipients. Our objective was to propose a dynamic prediction model for graft failure in young kidney transplant recipients. METHODS: We included 793 kidney transplant recipients waitlisted before the age of 18 years who received a first kidney transplantation before the age of 21 years in France in 2002-13 and survived >90 days with a functioning graft. We used a Cox model including baseline predictors only (sex, age at transplant, primary kidney disease, dialysis duration, donor type and age, human leucocyte antigen matching, cytomegalovirus serostatus, cold ischaemia time and delayed graft function) and two joint models also accounting for post-transplant estimated glomerular filtration rate (eGFR) trajectory. Predictive performances were evaluated using a cross-validated area under the curve (AUC) and R2 curves. RESULTS: When predicting the risk of graft failure from any time within the first 7 years after paediatric kidney transplantation, the predictions for the following 3 or 5 years were accurate and much better with the joint models than with the Cox model (AUC ranged from 0.83 to 0.91 for the joint models versus 0.56 to 0.64 for the Cox model). CONCLUSION: Accounting for post-transplant eGFR trajectory strongly increased the accuracy of graft failure prediction in young kidney transplant recipients.
dc.language.isoENen_US
dc.title.enDynamic prediction models for graft failure in paediatric kidney transplantation
dc.title.alternativeNephrol Dial Transplanten_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1093/ndt/gfaa180en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed32989448en_US
bordeaux.journalNephrology Dialysis Transplantationen_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.teamBIOSTAT_BPHen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-03176240
hal.version1
hal.date.transferred2021-03-22T10:25:29Z
hal.exporttrue
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