Accelerating Kidney Allocation: Simultaneously Expiring Offers

Michal A Mankowski, Martin Kosztowski, Subramanian Raghavan, Jacqueline M Garonzik-Wang, David Axelrod, Dorry L Segev, Sommer E Gentry

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Placing non-ideal kidneys quickly might reduce discard. We studied changing kidney allocation to eliminate sequential offers, instead making offers to multiple centers for all non-locally allocated kidneys, so that multiple centers must accept or decline within the same one hour. If more than one center accepted an offer, the kidney would go to the highest-priority accepting candidate. Using 2010 KPSAM-SRTR data, we simulated the allocation of 12,933 kidneys, excluding locally allocated and zero-mismatch kidneys. We assumed that each hour of delay decreased the probability of acceptance by 5%, and that kidneys would be discarded after 20 hours of offers beyond the local level. We simulated offering kidneys simultaneously to small, medium, and large batches of centers. Increasing the batch size increased the percentage of kidneys accepted and shortened allocation times. Going from small to large batches increased the number of kidneys accepted from 10,085 (92%) to 10,802 (98%) for low-KDPI, and from 1,257 (65%) to 1,737 (89%) for high-KDPI kidneys. The average number of offers a center received each week was 10.1 for small batches and 16.8 for large batches. Simultaneously expiring offers might allow faster allocation and decrease the number of discards, while still maintaining an acceptable screening burden. This article is protected by copyright. All rights reserved.
Original languageEnglish (US)
Pages (from-to)3071-3078
Number of pages8
JournalAmerican Journal of Transplantation
Volume19
Issue number11
DOIs
StatePublished - May 28 2019

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