{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Bonnemains V"],"funding":["Agence Nationale de la Recherche"],"pagination":["17-28"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12929319"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["27(1)"],"pubmed_abstract":["<h4>Objectives</h4>Modelling health-state utility values (HSUVs) from clinical data offers a means to conduct retrospective cost-effectiveness analyses using clinical studies that did not collect direct HSUV measures. Such studies can support the efficient allocation of resources in kidney transplantation (KT). We aim to model KT recipients' EQ-5D-3L HSUVs using routinely collected clinical data.<h4>Methods</h4>From a French observational multicentric prospective cohort, we included 2,787 adult recipients of a first or second single renal graft transplanted between January 2014 and December 2021 who completed 5,679 EQ-5D-3L questionnaires post-KT, from which the HSUVs were calculated. Considering two time periods before and after 1-year post-KT, we estimated a linear mixed effect model (LM"],"journal":["The European journal of health economics : HEPAC : health economics in prevention and care"],"pubmed_title":["Predicting EQ-5D-3L utility values from clinical data in a prospective cohort of kidney transplant recipients."],"pmcid":["PMC12929319"],"funding_grant_id":["ANR-22-CE36-0009-01"],"pubmed_authors":["Anglicheau D","Koenig A","Gaillard F","Walencik A","DIVAT Consortium","Timsit MO","Hassen NB","Dubois V","Figueres L","Hubert J","Branchereau J","Badet L","Rabeyrin M","Cantarovich D","Durand M","Sberro-Soussan R","Tessier P","Moreau A","Peres M","Ambrosetti D","Toni G","Bererhi L","Masset C","Le Quintrec M","Goldis P","Garandeau C","Blancho G","Chapelet A","Lecoanet P","Gaisne R","David C","Pouteil-Noble C","Gregoire A","Alla A","Mejean A","Bonnemains V","Giral M","Girerd S","Kormann R","Renaudin K","Eschwege P","Martinez F","Perrochia H","Claisse G","Abdo N","Hourmant M","Thaunat O","Deltombe C","Gourraud-Vercel C","Lefaucheur C","Ville S","Sicard A","Divard G","Mazeaud C","Zuber J","Cremoni M","Laurain E","Mannuguerra A","Pernin V","Buron F","Karimi F","Levi C","Delmas S","Kervella D","Serre JE","Frimat L","Foucher Y","Brunet M","Lemelle JL","Karam G","Aarnink A","Dantan E","Legendre C","Albano L","Codas R","Morelon E","Delbos F","Blois M","Dantal J","Rimmele T","Amrouche L","Aubert O","Lagrange F","Kandell C","Meurette A","Devis A","Gosset C","Daoud S","Loupy A","Cahen R","Mariat C","Ladriere M","Scemla A","Kerleau C","Szwarc I","Fournie C"],"additional_accession":[]},"is_claimable":false,"name":"Predicting EQ-5D-3L utility values from clinical data in a prospective cohort of kidney transplant recipients.","description":"<h4>Objectives</h4>Modelling health-state utility values (HSUVs) from clinical data offers a means to conduct retrospective cost-effectiveness analyses using clinical studies that did not collect direct HSUV measures. Such studies can support the efficient allocation of resources in kidney transplantation (KT). We aim to model KT recipients' EQ-5D-3L HSUVs using routinely collected clinical data.<h4>Methods</h4>From a French observational multicentric prospective cohort, we included 2,787 adult recipients of a first or second single renal graft transplanted between January 2014 and December 2021 who completed 5,679 EQ-5D-3L questionnaires post-KT, from which the HSUVs were calculated. Considering two time periods before and after 1-year post-KT, we estimated a linear mixed effect model (LM","dates":{"release":"2026-01-01T00:00:00Z","publication":"2026 Feb","modification":"2026-07-09T12:23:33.876Z","creation":"2026-07-09T11:17:44.75Z"},"accession":"S-EPMC12929319","cross_references":{"pubmed":["40495038"],"doi":["10.1007/s10198-025-01802-6"]}}