Targeted Broader Sharing for Liver Continuous Distribution

Author:

Mankowski Michal A.1,Wood Nicholas L.2,Massie Allan B.13,Segev Dorry L.123,Trichakis Nikolaos4,Gentry Sommer E.123

Affiliation:

1. Department of Surgery, NYU Grossman School of Medicine, NYU Langone Health, New York, NY.

2. Scientific Registry of Transplant Recipients, Hennepin Healthcare Research Institute, Minneapolis, MN.

3. Department of Population Health, NYU Grossman School of Medicine, New York, NY.

4. Operations Research Center, Massachusetts Institute of Technology, Cambridge, MA.

Abstract

Background. In recent years, changes to US organ allocation have aimed to improve equity and accessibility across regions. The Organ Procurement and Transplantation Network plans to adopt continuous liver distribution, prioritizing candidates based on a weighted composite allocation score (CAS) incorporating proximity, ABO types, medical urgency, and pediatric priority. The Liver Committee has requested research on CAS variations that account for geographical heterogenicity. Methods. We describe a method for designing a geographically heterogeneous CAS with targeted broader sharing (CAS-TBS) to balance the highly variable geographic distributions of liver transplant listings and liver donations. CAS-TBS assigns each donor hospital to either broader sharing or nearby sharing, adjusting donor-candidate distance allocation points accordingly. Results. We found that to reduce geographic disparity in the median Model for End-stage Liver Disease at transplant (MMaT), >75% of livers recovered in regions 2 and 10 should be distributed with broader sharing, whereas 95% of livers recovered in regions 5 and 1 should be distributed with nearby sharing. In a 3-y simulation of liver allocation, CAS-TBS decreased MMaT by 2.1 points in high-MMaT areas such as region 5 while increasing MMaT only by 0.65 points in low-MMaT areas such as region 3. CAS-TBS significantly decreased median transport distance from 202 to 167 nautical miles under acuity circles and decreased waitlist deaths. Conclusions. Our CAS-TBS design methodology could be applied to design geographically heterogeneous allocation scores that reflect transplant community values and priorities within the continuous distribution project of the Organ Procurement and Transplantation Network. In our simulations, the incremental benefit of CAS-TBS over CAS was modest.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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