TY - JOUR
T1 - Accelerating kidney allocation
T2 - Simultaneously expiring offers
AU - Mankowski, Michal A.
AU - Kosztowski, Martin
AU - Raghavan, Subramanian
AU - Garonzik-Wang, Jacqueline M.
AU - Axelrod, David
AU - Segev, Dorry L.
AU - Gentry, Sommer E.
N1 - Funding Information:
Funding information This work was supported by grant number R01DK111233 from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). Dr Mankowski was supported by King Abdullah University of Science and Technology (KAUST). Dr Kosztowski was supported by National Institute of Diabetes, Digestive, and Kidney Diseases (T32DK007732). The data reported here have been supplied by the Hennepin Healthcare Research Institute (HHRI) as the contractor for the Scientific Registry of Transplant Recipients (SRTR). The interpretation and reporting of these data are the responsibility of the authors and in no way should be seen as an official policy of or interpretation by the SRTR, UNOS/OPTN, or the US Government.
Publisher Copyright:
© 2019 The American Society of Transplantation and the American Society of Transplant Surgeons
PY - 2019/11/1
Y1 - 2019/11/1
N2 - Using nonideal kidneys for transplant quickly might reduce the discard rate of kidney transplants. We studied changing kidney allocation to eliminate sequential offers, instead making offers to multiple centers for all nonlocally allocated kidneys, so that multiple centers must accept or decline within the same 1 hour. If more than 1 center accepted an offer, the kidney would go to the highest-priority accepting candidate. Using 2010 Kidney-Pancreas Simulated Allocation Model–Scientific Registry for Transplant Recipients 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-size, 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–Kidney Donor Risk Index kidneys and from 1257 (65%) to 1737 (89%) for high–Kidney Donor Risk Index kidneys. The average number of offers that 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.
AB - Using nonideal kidneys for transplant quickly might reduce the discard rate of kidney transplants. We studied changing kidney allocation to eliminate sequential offers, instead making offers to multiple centers for all nonlocally allocated kidneys, so that multiple centers must accept or decline within the same 1 hour. If more than 1 center accepted an offer, the kidney would go to the highest-priority accepting candidate. Using 2010 Kidney-Pancreas Simulated Allocation Model–Scientific Registry for Transplant Recipients 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-size, 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–Kidney Donor Risk Index kidneys and from 1257 (65%) to 1737 (89%) for high–Kidney Donor Risk Index kidneys. The average number of offers that 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.
KW - Scientific Registry for Transplant Recipients (SRTR)
KW - clinical research/practice
KW - delayed graft function (DGF)
KW - health services and outcomes research
KW - kidney transplantation/nephrology
KW - mathematical model
KW - organ allocation
KW - organ procurement and allocation
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U2 - 10.1111/ajt.15396
DO - 10.1111/ajt.15396
M3 - Article
C2 - 31012528
AN - SCOPUS:85068035737
SN - 1600-6135
VL - 19
SP - 3071
EP - 3078
JO - American Journal of Transplantation
JF - American Journal of Transplantation
IS - 11
ER -