TY - JOUR
T1 - Considerable Variability Among Transplant Nephrologists in Judging Deceased Donor Kidney Offers
AU - Schutter, Rianne
AU - Sanders, Jan Stephan F.
AU - Ramspek, Chava L.
AU - Crop, Meindert J.
AU - Bemelman, Frederike J.
AU - Christiaans, Maarten H.L.
AU - Hilbrands, Luuk B.
AU - de Vries, Aiko P.J.
AU - van de Wetering, Jacqueline
AU - van Zuilen, Arjan D.
AU - van Diepen, Merel
AU - Leuvenink, Henri G.D.
AU - Dekker, Friedo W.
AU - Moers, Cyril
N1 - Funding Information:
The authors are grateful to Shalina Katerberg for her assistance in developing and maintaining the online survey. CLR and MvD were supported by a grant from the Dutch Kidney Foundation ( 20OK016 ).
Publisher Copyright:
© 2023 International Society of Nephrology
PY - 2023/10
Y1 - 2023/10
N2 - 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.
AB - 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.
KW - decision-making
KW - donation
KW - kidney
KW - organ offer
KW - survey
KW - transplantation
UR - http://www.scopus.com/inward/record.url?scp=85168337751&partnerID=8YFLogxK
U2 - 10.1016/j.ekir.2023.07.009
DO - 10.1016/j.ekir.2023.07.009
M3 - Article
AN - SCOPUS:85168337751
SN - 2468-0249
VL - 8
SP - 2008
EP - 2016
JO - Kidney International Reports
JF - Kidney International Reports
IS - 10
ER -