Background Recorded at the time of transplant and reported to the Organ Procurement and Transplantation Network (OPTN), patient's functional status is measured using the Karnofsky Performance Score (KPS), ranging 0-100. Functional status analysis may provide insights on candidate listing and posttransplant survival outcomes for deceased-donor kidney transplants (DDKT). Methods The cohort consisted of adult DDKT recipients transplanted beginning January 2007. One-year and 3-year Cox models for posttransplant survival were fitted with current Scientific Registry of Transplant Recipients (SRTR) variables and KPS. Comparative analyses were performed between the SRTR model without KPS and the augmented model with it. Using the augmented model, we examined the impact of Kidney Donor Profile Index (KDPI) on posttransplant survivals for 5 different KPS strata: 10-30, 40-50, 60-70, 80-90, and 100. Results Comparative analyses showed that KPS was a statistically significant predictor for posttransplant survival: it improved model calibration, discrimination, and predictive accuracy. From the augmented model, the survival curves illustrated that recipients with KPS 40-50 and kidneys with KDPI as high as 99 have expected survival probabilities of above 90% in 1 year and above 80% in 3 years. The expected survival probabilities improve as KPS increases. Recipients with KPS 10-30 have the worst survival probability, even if they received high-quality kidneys. Conclusions Insights from the survival analyses recommend possible inclusion of functional status into SRTR's risk-adjusted models. Moreover, they invite further examination of its use in order to improve current listing and transplantation strategies at transplant centers and potentially reduce deceased-donor kidney discard rate. Corresponding Author: Sanjay Mehrotra, PhD, Professor of Industrial Engineering and Management Sciences, 2145 Sheridan Road, Tech C246, Evanston, IL 60208, Phone: 847-491-3155, Fax: 847-491-8005, E-mail: mehrotra@northwestern.edu Authorship Information Kevin Bui1 MS, Vikram Kilambi2 PhD, James R. Rodrigue3 PhD, Sanjay Mehrotra4 PhD, 1Developed research design, conducted data analysis, and drafted the article; 2Reviewed research design and edited article; 3Reviewed and edited article; 4Developed research design, supervised data analysis, and edited the article; Authors have no conflicts of interest to disclose. This work is funded by National Institutes for Health award 1R21DK108104-01. Copyright © 2018 Wolters Kluwer Health, Inc. All rights reserved.
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