Dynamic Exception Points for Fair Liver Allocation

Published Online:https://doi.org/10.1287/serv.2023.0092

References

  • Afeche P, Caldentey R, Gupta V (2021) On the optimal design of a bipartite matching queueing system. Oper. Res. 70(1):363–401.LinkGoogle Scholar
  • Ahn JH, Hornberger JC (1996) Involving patients in the cadaveric kidney transplant allocation process: A decision-theoretic perspective. Management Sci. 42(5):629–641.LinkGoogle Scholar
  • Akan M (2018) Queueing games. Dai T, ed. Handbook of Healthcare Analytics (John Wiley & Sons, Hoboken, NJ), 355–380.CrossrefGoogle Scholar
  • Akan M (2024) Transplant health inequities research from an operations perspective. Health Sci. Rev. 11:100176.CrossrefGoogle Scholar
  • Akan M, Alagoz O, Ata B, Erenay FS, Said A (2012) A broader view of designing the liver allocation system. Oper. Res. 60(4):757–770.LinkGoogle Scholar
  • Alagoz O, Akan M, Ata B, Erenay FS (2008) A fluid dynamic model to optimize the liver allocation system. Proc. NSF Engrg. Res. and Innovation Conf. (Knoxville, TN).Google Scholar
  • Alagoz O, Maillart LM, Schaefer AJ, Roberts MS (2004) The optimal timing of living-donor liver transplantation. Management Sci. 50(10):1420–1430.LinkGoogle Scholar
  • Alagoz O, Maillart LM, Schaefer AJ, Roberts MS (2007) Choosing among living-donor and cadaveric livers. Management Sci. 53(11):1702–1715.LinkGoogle Scholar
  • Asrani SK, Kamath PS (2015) Model for end-stage liver disease score and MELD exceptions: 15 years later. Hepatology Internat. 9(3):346–354.CrossrefGoogle Scholar
  • Ata B, Skaro A, Tayur S (2017) OrganJet: Overcoming geographical disparities in access to deceased donor kidneys in the United States. Management Sci. 63(9):2776–2794.LinkGoogle Scholar
  • Bernards S, Lee E, Leung N, Akan M, Gan K, Zhao H, Sarkar M, et al. (2022) Awarding additional MELD points to the shortest waitlist candidates improves sex disparity in access to liver transplant in the United States. Amer. J. Transplantation 22(12):2912–2920.CrossrefGoogle Scholar
  • Bernards S, Lee E, Leung N, Zhao H, Akan M, Sarkar M, Tayur S, Mehta N (2021) Liver simulated allocation model (LSAM) of a height-based policy change to improve sex disparity in liver transplantation (LT) [abstract]. Amer. J. Transplantation 21(suppl 3):776.Google Scholar
  • Bertsimas D, Farias VF, Trichakis N (2013) Fairness, efficiency, and flexibility in organ allocation for kidney transplantation. Oper. Res. 61(1):73–87.LinkGoogle Scholar
  • Cox-North P, Doorenbos A, Shannon SE, Scott J, Curtis JR (2013) The transition to end-of-life care in end-stage liver disease. J. Hospital Palliative Nursing 15(4):209–215.CrossrefGoogle Scholar
  • Dai T, Zheng R, Sycara K (2020) Jumping the line, charitably: Analysis and remedy of donor-priority rule. Management Sci. 66(2):622–641.LinkGoogle Scholar
  • David I, Yechiali U (1985) A time-dependent stopping problem with application to live organ transplants. Oper. Res. 33(3):491–504.LinkGoogle Scholar
  • Davis A, Mehrotra S, Friedewald J, Ladner D (2013) Characteristics of a simulation model of the national kidney transplantation system. Proc. Winter Simulations Conf. (IEEE Press, Piscataway, NJ), 2320–2329.Google Scholar
  • Fukazawa K, Nishida S (2016) Size mismatch in liver transplantation. J. Hepatobiliary Pancreatitis Sci. 23:457–466.CrossrefGoogle Scholar
  • Godfrey EL, Malik TH, Lai JC, Mindikoglu AL, Galván NTN, Cotton RT, O’Mahony CA, et al. (2019) The decreasing predictive power of MELD in an era of changing etiology of liver disease. Amer. J. Transplantation 19(12):3299–3307.CrossrefGoogle Scholar
  • Gurvich I, Ward A (2015) On the dynamic control of matching queues. Stochastic Systems 4(2):479–523.LinkGoogle Scholar
  • Hartl R, Sethi S, Vickson R (1995) A survey of the maximum principles for optimal control problems with state constraints. SIAM Rev. 37:188–218.CrossrefGoogle Scholar
  • Hasankhani F, Khademi A (2021) Is it time to include post transplant survival in heart transplantation allocation rules? Production Oper. Management 30(8):2653–2671.CrossrefGoogle Scholar
  • Heimbach JK, Hirose R, Stock PG, Schladt DP, Xiong H, Liu J, Olthoff KM, et al. (2015) Delayed hepatocellular carcinoma model for end-stage liver disease exception score improves disparity in access to liver transplant in the United States. Hepatology 61:1643–1650.CrossrefGoogle Scholar
  • Howard DH (2002) Why do transplant surgeons turn down organs? A model of the accept/reject decision. J. Health Econom. 21(6):957–969.CrossrefGoogle Scholar
  • Hu M, Zhou Y (2021) Dynamic type matching. Manufacturing Service Oper. Management 24(1):125–142.LinkGoogle Scholar
  • Hu Y, Chan CW, Dong J (2021) Optimal scheduling of proactive service with customer deterioration and improvement. Management Sci. 68(4):2533–2578.LinkGoogle Scholar
  • Kim SP, Gupta D, Israni AK, Kasiske BL (2015) Accept/decline decision module for the liver simulated allocation model. Health Care Management Sci. 18(1):35–57.CrossrefGoogle Scholar
  • Kong N, Schaefer AJ, Hunsaker B, Roberts MS (2010) Maximizing the efficiency of the US liver allocation system through region design. Management Sci. 56(12):2111–2122.LinkGoogle Scholar
  • Kreke J, Schaefer AJ, Angus DC, Bryce CL, Roberts MS (2002) Incorporating biology into discrete event simulation models of organ allocation. Proc. Winter Simulation Conf., vol. 1 (IEEE, Piscataway, NJ), 532–536.Google Scholar
  • Kyota F, Seigo N (2016) Size mismatch in liver transplantation. J. Hepatobiliary Pancreatic Sci. 23(8):457–466.CrossrefGoogle Scholar
  • Lai JC, Terrault NA, Vittinghoff E, Biggins SW (2010) Height contributes to the gender difference in waitlist mortality under the MELD-based liver allocation system. Amer. J. Transplantation 10(12):2658–2664.CrossrefGoogle Scholar
  • Marvin MR, Ferguson N, Cannon RM, Jones CM, Brock GN (2015) MELD-EQ: An alternative model for end stage liver disease score for patients with hepatocellular carcinoma. Liver Transplantation 21(5):612–622.CrossrefGoogle Scholar
  • Massie AB, Caffo B, Gentry SE, Hall EC, Axelrod DA, Lentine KL, Schnitzler MA, et al. (2011) MELD exceptions and rates of waiting list outcomes. Amer. J. Transplantation 11(11):2362–2371.CrossrefGoogle Scholar
  • Nazari M, Stolyar AL (2019) Reward maximization in general dynamic matching systems. Queueing Systems 91:143–170.Google Scholar
  • Papalexopoulos T, Alcorn J, Bertsimas D, Goff R, Stewart D, Trichakis N (2023) Reshaping national organ allocation policy. Oper. Res., ePub ahead of print November 20, https://doi.org/10.1287/opre.2022.0035.LinkGoogle Scholar
  • Pritsker AA, Martin DL, Reust JS, Wagner MA, Daily OP, Harper AM, Edwards EB, et al. (1995) Organ transplantation policy evaluation. Proc. 27th Conf. Winter Simulation (IEEE Computer Society, Washington, DC), 1314–1323.Google Scholar
  • Reddy MS, Varghese J, Venkataraman J, Rela M (2013) Matching donor to recipient in liver transplantation: Relevance in clinical practice. World J. Hepatology 5(11):603.CrossrefGoogle Scholar
  • Rickert C, Akan M, Leung Z, Markmann JF, Tayur S, Zhao H, Yeh H (2019a) DOME: A new strategy for prioritizing hepatocellular carcinoma patients on the liver transplant waitlist [abstract]. Amer. J. Transplantation 19(suppl 3):378.Google Scholar
  • Rickert CG, Leung Z, Akan M, Markmann JF, Tayur S, Zhao H, Yeh H (2019b) Stratifying HCC patients for liver transplantation. REACH: Risk of exceeding allocation criteria for HCC. Amer. J. Transplantation 19(S1):13.Google Scholar
  • Rickert C, Zhao H, Leung Z, Akan M, Markmann J, Tayur S, Yeh H (2020) MY-ATLAS: A novel simulation algorithm for liver transplant allocation. Amer. J. Transplantation 20(suppl 3):S1095.Google Scholar
  • Righter R (1989) A resource allocation problem in a random environment. Oper. Res. 37(2):329–338.LinkGoogle Scholar
  • Ruth RJ, Wyszewianski L, Herline G (1985) Kidney transplantation: A simulation model for examining demand and supply. Management Sci. 31(5):515–526.LinkGoogle Scholar
  • Said A, Erenay S, Akan M, Ata B, Alagoz O (2009) Optimizing liver allocation policy: 732. Hepatology 50:647A–648A.Google Scholar
  • Sandikçi B, Tunç S, Tanriover B (2019) A new simulation model for kidney transplantation in the United States. Proc. Winter Simulation Conf. (IEEE Press, Piscataway, NJ), 1079–1090.Google Scholar
  • Sandikçi B, Maillart LM, Schaefer AJ, Alagoz O, Roberts MS (2008) Estimating the patient’s price of privacy in liver transplantation. Oper. Res. 56(6):1393–1410.LinkGoogle Scholar
  • Seierstad A, Sydsaeter K (1987) Optimal Control Theory with Economic Applications (Elsevier, Amsterdam).Google Scholar
  • Shechter SM, Bryce CL, Alagoz O, Kreke JE, Stahl JE, Schaefer AJ, Angus DC, et al. (2005) A clinically based discrete-event simulation of end-stage liver disease and the organ allocation process. Medical Decision Making 25(2):199–209.CrossrefGoogle Scholar
  • SRTR (2019) Liver simulated allocation model (LSAM) 2019 user’s guide. Accessed August 30, 2022, https://www.srtr.org/media/1361/LSAM-2019-User-Guide.pdf.Google Scholar
  • Su X, Zenios S (2004) Patient choice in kidney allocation: The role of the queueing discipline. Manufacturing Service Oper. Management 6(4):280–301.LinkGoogle Scholar
  • Su X, Zenios S (2005) Patient choice in kidney allocation: A sequential stochastic assignment model. Oper. Res. 53(3):443–455.LinkGoogle Scholar
  • Su X, Zenios S (2006) Recipient choice can address the efficiency-equity trade-off in kidney transplantation: A mechanism design model. Management Sci. 52(11):1647–1660.LinkGoogle Scholar
  • Tang Y, Li A, Scheller-Wolf AA, Tayur SR (2021a) Multi-armed bandits with endogenous learning curves: An application to split liver transplantation. Preprint, submitted May 28, http://dx.doi.org/10.2139/ssrn.3855206.Google Scholar
  • Tang Y, Scheller-Wolf AA, Tayur SR, Perito ER, Roberts JP (2021b) Split liver transplantation: An analytical decision support model. Preprint, submitted July 8, http://dx.doi.org/10.2139/ssrn.3877523.Google Scholar
  • Toso C, Dupuis-Lozeron E, Majno P, Berney T, Kneteman NM, Perneger T, Morel P, et al. (2012) A model for dropout assessment of candidates with or without hepatocellular carcinoma on a common liver transplant waiting list. Hepatology 56:149–156.CrossrefGoogle Scholar
  • UNOS (2010) Ethical principles in the allocation of human organs. Accessed November 17, 2021, https://optn.transplant.hrsa.gov/resources/ethics/ethical-principles-in-the-allocation-of-human-organs/.Google Scholar
  • UNOS (2021) Transplant trends. Accessed November 17, 2021, https://unos.org/data/transplant-trends/.Google Scholar
  • UNOS (2024) Continuous distribution: Liver and intestine. Accessed March 15, 2024, https://optn.transplant.hrsa.gov/policies-bylaws/a-closer-look/continuous-distribution/continuous-distribution-liver-and-intestine/.Google Scholar
  • Vitale A, Volk ML, De Feo TM, Burra P, Frigo AC, Morales RR, De Carlis L, et al. (2014) A method for establishing allocation equity among patients with and without hepatocellular carcinoma on a common liver transplant waiting list. J. Hepatology 60(2):290–297.CrossrefGoogle Scholar
  • Zenios SA, Chertow GM, Wein LM (2000) Dynamic allocation of kidneys to candidates on the transplant waiting list. Oper. Res. 48(4):549–569.LinkGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.