Evaluation of Accepting Kidneys of Varying Quality for Transplantation or Expedited Placement with Decision Trees

Background: Underutilization of marginal-quality kidneys for transplantation produced ideas of expediting kidney placement for populations with decreased opportunities of receiving transplants. Such policies can be less efficacious for specific individuals and should be scrutinized until the decision-making for accepting marginal-quality organs, which has relied on experiential judgment, is better understood at the individual level. There exist rigorous tools promoting personalized decisions with useful and objective information. Methods: This article introduces a decision-tree methodology that analyzes a patient's dilemma: to accept a kidney offer now or reject it. The methodology calculates the survival benefit of accepting a kidney given a certain quality now and the survival benefit of rejecting it. Survival benefit calculation accounts for patients' and donors' characteristics and transplant centers' and organ procurement organizations' performances and incorporates patients' perceived transplant and dialysis utilities. Valuations of rejecting an offer are contingent on future opportunities and subject to uncertainty in the timing of successive kidney offers and their quality and donor characteristics. Results: The decision tree was applied to a realistic patient profile as a demonstration. The tool was tested on 1,000 deceased-donor kidney offers in 2016. Evaluating up to one year of future offers, the tool attains 61% accuracy with transplant utility 1.0 and dialysis utility 0.5. The accuracy reveals potential bias in kidney offer acceptance/rejection at transplant centers. Conclusions: The decision-tree tool presented could aid personalized transplant decision-making in the future by providing patients with calculated, individualized survival benefits between accepting and rejecting a kidney offer. *Corresponding Author: Vikram Kilambi, 20 Park Plaza Suite 920, Boston, MA 02116, E-mail: vkilambi@rand.org Copyright © 2019 Wolters Kluwer Health, Inc. All rights reserved.

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