Beyond "Median Waiting Time": Development and Validation of a Competing Risk Model to Predict Outcomes on the Kidney Transplant Waiting List. Issue 7 (July 2016)

• Record Type: Journal Article
• Authors: Hart, Allyson; Salkowski, Nicholas; Snyder, Jon J.; Israni, Ajay K.; Kasiske, Bertram L.
• Is Part Of: Transplantation. Volume 100:Issue 7(2016)
• Publication Date: 2016-07
• Subjects: Transplantation of organs, tissues, etc -- Periodicals; Transplantation immunology -- Periodicals; 617.95
• DOI: 10.1097/TP.0000000000001185
• Languages: English
• ISSNs: 0041-1337

Abstract

Abstract : Background: Median historical time to kidney transplant is misleading because it does not convey the competing risks of death or removal from the waiting list. We developed and validated a competing risk model to calculate likelihood of outcomes for kidney transplant candidates and demonstrate how this information differs from median time to transplant. Methods: Data were obtained from the US Scientific Registry of Transplant Recipients. The retrospective cohort included 163 636 adults listed for kidney transplant before December 31, 2011. Predictors were age, sex, blood type, calculated panel-reactive antibodies, donation service area, dialysis duration, comorbid conditions, and body mass index. Outcomes were deceased or living donor transplant, death or removal from the list due to deteriorating medical condition, or removal due to other reasons. We calculated hazards for the possible outcomes, then the cumulative incidence function for a given candidate using competing risk methodology. Discrimination and calibration were assessed through C statistics and calibration plots for each cause-specific Cox proportional hazard model. Results: C statistics ranged from 0.64 to 0.73. Calibration plots showed good calibration. The competing risk model shows probability of all possible outcomes for up to 12 years given a candidate's characteristics, contrasted with the median waiting time for that candidate's donation service area. Conclusions: A competing risk model conveys more relevant information than the median waiting time for a given transplant center. This model will be updated to create a calculator reflecting the most recent outcomes and changes in allocation policy. It illustrates the conversations that should be initiated with transplant candidates. Abstract : A competing risk model and soon-to-be web-based calculator built from data from the Scientific Registry of Transplant Recipients taking into account such factors as death or medical deterioration conveys more information regarding when a person might receive a transplant than the median waiting time alone for a given transplant center. Supplemental digital content is available in the text.