Split Liver Transplantation: An Analytical Decision Support Model

Accepted by Operations Research.

Posted: 6 Sep 2023 Last revised: 23 Mar 2025

See all articles by Yanhan (Savannah) Tang

Yanhan (Savannah) Tang

Carnegie Mellon University, David A. Tepper School of Business, Students

Alan Andrew Scheller-Wolf

Carnegie Mellon University

Sridhar R. Tayur

Carnegie Mellon University - David A. Tepper School of Business

Emily R. Perito

University of California, San Francisco

John P. Roberts

Division of Transplant Surgery

Date Written: July 5, 2021

Abstract

Split liver transplantation (SLT) is a procedure that potentially saves two lives using one liver, increasing the total benefit derived from the limited number of donated livers available. SLT may also improve equity, by giving transplant candidates who are physically smaller (including children) increased access to liver transplants. However, SLT is rarely used in the US. To help quantify the benefits of increased SLT utilization and provide decision support tools, we introduce a deceased-donor liver allocation model with both efficiency and fairness objectives. We formulate our model as a multi-queue fluid system, incorporating the specifics of donor-recipient size matching and patients' dynamically changing health conditions. Leveraging a novel decomposition result, we find the exact optimal matching procedure, enabling us to benchmark the performance of different allocation policies against the theoretical optimal. Numerical results, utilizing data from the Organ Procurement and Transplantation Network, show that increased utilization of SLT can significantly reduce patient deaths, increase total quality-adjusted life years, and improve fairness among different patient groups.

Note:

Funding Information: MISSING

Conflict of Interests: MISSING

Keywords: Split liver transplantation, organ allocation, fluid models, fairness, ordinary differential equations

JEL Classification: I14,I19,C44

Suggested Citation

Tang, Yanhan and Scheller-Wolf, Alan Andrew and Tayur, Sridhar R. and R. Perito, Emily and Roberts, John, Split Liver Transplantation: An Analytical Decision Support Model (July 5, 2021). Accepted by Operations Research., Available at SSRN: https://ssrn.com/abstract=3877523 or http://dx.doi.org/10.2139/ssrn.3877523

Yanhan Tang (Contact Author)

Carnegie Mellon University, David A. Tepper School of Business, Students ( email )

Pittsburgh, PA
United States

Alan Andrew Scheller-Wolf

Carnegie Mellon University ( email )

Pittsburgh, PA 15213-3890
United States

Sridhar R. Tayur

Carnegie Mellon University - David A. Tepper School of Business ( email )

5000 Forbes Avenue
Pittsburgh, PA 15213-3890
United States

Emily R. Perito

University of California, San Francisco ( email )

2130 Fulton Street
San Francisco, CA 94117
United States

John Roberts

Division of Transplant Surgery ( email )

Third Avenue and Parnassus
San Francisco, CA CA 94143
United States
4153539321 (Phone)

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