A Broader View of Designing the Liver Allocation System

References

• Alagoz O. Optimal policies for the acceptance of living- and cadaveric-donor livers. (2004) . Ph.D. dissertation, University of Pittsburgh, PittsburghGoogle Scholar
• Alagoz O, Maillart LM, Schaefer AJ, Roberts MS. The optimal timing of living-donor liver transplantation. Management Sci. (2004) 50(10):1420–1430Link, Google Scholar
• Alagoz O, Maillart LM, Schaefer AJ, Roberts MS. Choosing among cadaveric and living-donor livers. Management Sci. (2007a) 53(11):1702–1715Link, Google Scholar
• Alagoz O, Maillart LM, Schaefer AJ, Roberts MS. Determining the acceptance of cadaveric livers using an implicit model of the waiting list. Oper. Res. (2007b) 55(1):24–36Link, Google Scholar
• Buchanan P, Dzebisashvili N, Lentine KL, Axelrod DA, Schnitzler PR, Salvalaggio MA. Liver transplantation cost in the model for end stage liver disease era: Looking beyond transplant admission. Liver Transplantation (2009) 15(10):1270–1277Crossref, Google Scholar
• David I, Yechiali U. A time-dependent stopping problem with application to live organ transplants. Oper. Res. (1985) 33(3):491–504Link, Google Scholar
• David I, Yechiali U. One-attribute sequential assignment match processes in discrete time. Oper. Res. (1995) 43(5):879–884Link, Google Scholar
• Garber K. Controversial allocation rules for liver transplants. Nature Medicine (2002) 8(2):97Crossref, Google Scholar
• Ghobrial RM, Gornbein J, Steadman R, Danino N, Markmann JF, Holt C, Anselmo D, Amersi F, Chen P, Farmer DG. Pretransplant model to predict post transplant survival in liver transplant patients. Ann. Surgery (2002) 236(3):315–323Crossref, Google Scholar
• Gold MR, Siegel JE, Russell B, Weinstein MC. Cost Effectiveness in Health and Medicine (1996) (Oxford University Press, New York) Google Scholar
• Government Accounting Office (2003) . Accessed January 21, 2003, http://www.gao.gov/special.pubs/organ/chapter2.pdfGoogle Scholar
• Hornberger JC, Ahn JH. Deciding eligibility for transplantation when a donor kidney becomes available. Medical Decision Making (1997) 17(2):160–170Crossref, Google Scholar
• Howard DH. Hope versus efficiency in organ allocation. Transplantation (2001) 72(6):957–969Crossref, Google Scholar
• Howard DH. Why do transplant surgeons turn down organs?: A model of the accept/reject decision. J. Health Econom. (2002) 21(6):957–969Crossref, Google Scholar
• IOMOrgan Procurement and Transplantation (1999) (National Academy Press, Washington, DC) . http://www.iom.edu/Google Scholar
• Jacob M, Copley P, Lewsey JD, Gimson A, Rela M, van der Meulen JH. Functional status of patients before liver transplantation as a predictor of posttransplant mortality. Transplantation (2005a) 80(1):52–57Crossref, Google Scholar
• Jacob M, Lewsey JD, Sharpin A, Gimson A, Rela M, van der Meulen JH. Systematic review and validation of prognostic models in liver transplantation. Liver Transplantation (2005b) 11(7):814–825Crossref, Google Scholar
• Jacob M, Copley LP, Lewsey JD, Gimson A, Toogood GJ, Rela M, van der Meulen JH. Pretransplant MELD score and post liver transplantation survival in the UK and Ireland. Liver Transplantation (2004) 10(7):903–907Crossref, Google Scholar
• Jost U, Ringe B, de Boer J, Muhlbacher F, Neuhaus P, Otte JB, Sloof M, Persijn G. Preliminary experience with a new liver allocation system within Eurotransplant. Transplant Proc. (1993) 25(1):1547–1549Google Scholar
• Kong N, Schaefer J, Hunsaker AB, Roberts SM. Maximizing the efficiency of the U.S. liver allocation system through region design. Management Sci. (2010) 56(12):2111–2122Link, Google Scholar
• Merion RM, Schaubel DE, Dykstra DM, Freeman RB, Port FK, Wolfe RA. The survival benefit of liver transplantation. Amer. J. Transplantation (2005) 5(2):307–313Crossref, Google Scholar
• Naito NA. Blood-borne pathogens: Controlling workers' compensation costs through optimization of your blood-borne pathogen exposure program. Presented at the Forty-Fourth Navy Occupational Health and Preventive Medicine Conf. (2005) . Accessed January 12, 2006, http://www-nehc.med.navy.mil/Workshop05/05_Presentations.htmGoogle Scholar
• Olthoff K, Merion R, Ghobrial R, Abecassis MM, Fair JH, Fisher RA, Freise CE, et al. Outcomes of 385 adult-to-adult living donor liver transplant recipients: A report from the A2ALL consortium. Ann. Surgery (2005) 242(3):314–325Google Scholar
• OPTN Annual report: Transplant data 1999--2008. (2009) . Accessed December 5, 2010, http://optn.transplant.hrsa.gov/organDatasource/Google Scholar
• OPTN/UNOS Ethics committee report to the board of directors.. (2009) . March 2--3. U.S. Department of Health and Human Services, Rockville, MDGoogle Scholar
• Righter R. A resource allocation problem in a random environment. Oper. Res. (1989) 37(2):329–338Link, Google Scholar
• Roberts MS, Angus DC, Bryce CL, Valenta Z, Weissfeld L. Survival after liver transplantation in the United States: A disease-specific analysis of the UNOS database. Liver Transplantation (2004) 10(7):886–897Crossref, Google Scholar
• Said A, Einstein M, Lucey MR. Liver transplantation: An update 2007. Current Opinion in Gastroenterology (2007) 23(3):292–298Crossref, Google Scholar
• Sandikci B, Maillart LM, Schaefer AJ, Alagoz O, Roberts MS. Estimating the patient's price of privacy in liver transplantation. Oper. Res. (2008) 56(6):1393–1410Link, Google Scholar
• Schaubel DE, Sima CS, Goodrich NP, Feng S, Merion RM. The survival benefit of deceased donor liver transplantation as a function of candidate disease severity and donor quality. Amer. J. Transplantation (2008) 8(2):419–425Crossref, Google Scholar
• Schaubel DE, Guidinger MK, Biggins SW, Kalbfleisch JD, Pomfret EA, Sharma P, Merion RM. Survival benefit-based deceased-donor liver allocation. Amer. J. Transplantation (2009) 9(2):970–981Crossref, Google Scholar
• Seierstad A, Sydsaeter K. Optimal Control Theory with Economic Applications (1987) (North Holland, Amsterdam) Google Scholar
• Shechter SM, Bryce CL, Alagoz O, Kreke JE, Stahl JE, Schaefer AJ, Angus DC, Roberts MS. A clinically based discrete event simulation of end-stage liver disease and the organ allocation process. Medical Decision Making (2005) 25(2):199–209Crossref, Google Scholar
• SRTR Transplant primer: Liver transplant. (2004) . Accessed September 9, 2004, http://www.ustransplant.org/Google Scholar
• Stahl JE, Kong N, Shechter S, Schaefer AJ, Roberts MS. A methodological framework for optimally re-organizing liver transplant regions. Medical Decision Making (2005) 25(1):35–46Crossref, Google Scholar
• Su X, Zenios SA. Patient choice in kidney allocation: The role of queueing discipline. Manufacturing Service Oper. Management (2004) 6(4):280–301Link, Google Scholar
• Su X, Zenios SA. Patient choice in kidney allocation: A sequential stochastic assignment model. Oper. Res. (2005) 53(3):443–455Link, Google Scholar
• Su X, Zenios SA. Recipient choice can address the efficiency-equity trade-off in kidney transplantation: A mechanism design model. Management Sci. (2006) 52(11):1647–1660Link, Google Scholar
• Trotter JF, Osgood MJ. MELD scores of liver transplant recipients according to size of waiting list: Impact of organ allocation and patient outcomes. J. Amer. Medical Assoc. (2004) 291(15):1871–1874Crossref, Google Scholar
• Trotter JF, Stolpman N, Wachs M, Bak T, Kugelmas M, Kam I, Everson GT. Living donor liver transplant recipients achieve relatively higher immunosuppressant blood levels than cadaveric recipients. Liver Transplantation (2002) 8(3):212–218Crossref, Google Scholar
• UNOS Organ distribution: Allocation of livers. (2008) . Accessed April 14, 2008, http://www.unos.org/resources/Google Scholar
• Wiesner RH, McDiarmid SV, Kamath PS, Edwards EB, Malinchoc M, Kremers WK, Krom RAF, Kim WR. MELD and PELD: Application of survival models to liver allocation. Liver Transplantation (2001) 7(7):567–580Crossref, Google Scholar
• Zenios SA, Chertow GM, Wein LM. Dynamic allocation of kidneys to candidates on the transplant waiting list. Oper. Res. (2000) 48(4):549–569Link, Google Scholar
• Zenios SA, Wein LM, Chertow GM. Evidence-based organ allocation. Amer. J. Medicine (1999) 107(1):52–61Crossref, Google Scholar