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Considerable Variability Among Transplant Nephrologists in Judging Deceased Donor Kidney Offers

INTRODUCTION: Transplant clinicians may disagree on whether or not to accept a deceased donor kidney offer. We investigated the interobserver variability between transplant nephrologists regarding organ acceptance and whether the use of a prediction model impacted their decisions. METHODS: We develo...

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Detalles Bibliográficos
Autores principales: Schutter, Rianne, Sanders, Jan-Stephan F., Ramspek, Chava L., Crop, Meindert J., Bemelman, Frederike J., Christiaans, Maarten H.L., Hilbrands, Luuk B., de Vries, Aiko P.J., van de Wetering, Jacqueline, van Zuilen, Arjan D., van Diepen, Merel, Leuvenink, Henri G.D., Dekker, Friedo W., Moers, Cyril
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10577326/
https://www.ncbi.nlm.nih.gov/pubmed/37850026
http://dx.doi.org/10.1016/j.ekir.2023.07.009
Descripción
Sumario:INTRODUCTION: Transplant clinicians may disagree on whether or not to accept a deceased donor kidney offer. We investigated the interobserver variability between transplant nephrologists regarding organ acceptance and whether the use of a prediction model impacted their decisions. METHODS: We developed an observational online survey with 6 real-life cases of deceased donor kidneys offered to a waitlisted recipient. Per case, nephrologists were asked to estimate the risk of adverse outcome and whether they would accept the offer for this patient, or for a patient of their own choice, and how certain they felt. These questions were repeated after revealing the risk of adverse outcome, calculated by a validated prediction model. RESULTS: Sixty Dutch nephrologists completed the survey. The intraclass correlation coefficient of their estimated risk of adverse outcome was poor (0.20, 95% confidence interval [CI] 0.08–0.62). Interobserver agreement of the decision on whether or not to accept the kidney offer was also poor (Fleiss kappa 0.13, 95% CI 0.129–0.130). The acceptance rate before and after providing the outcome of the prediction model was significantly influenced in 2 of 6 cases. Acceptance rates varied considerably among transplant centers. CONCLUSION: In this study, the estimated risk of adverse outcome and subsequent decision to accept a suboptimal donor kidney varied greatly among transplant nephrologists. The use of a prediction model could influence this decision and may enhance nephrologists’ certainty about their decision.