Determining the Acceptance of Cadaveric Livers Using an Implicit Model of the Waiting List

Published Online:https://doi.org/10.1287/opre.1060.0329

References

  • Ahn J. H., Hornberger J. C. Involving patients in the cadaveric kidney transplant allocation process: A decision-theoretic perspective. Management Sci. (1996) 42(5):629–641LinkGoogle Scholar
  • Alagoz O. Optimal policies for the acceptance of living- and cadaveric-donor livers. (2004) . Ph.D. dissertation, University of Pittsburgh, Pittsburgh, PAGoogle Scholar
  • Alagoz O., Maillart L. M., Schaefer A. J., Roberts M. S. The optimal timing of living-donor liver transplantation. Management Sci. (2004) 50(10):1420–1430LinkGoogle Scholar
  • Alagoz O., Bryce C. L., Schaefer A. J., Chang C. H., Angus D. C., Roberts M. S. Incorporating biological natural history in simulation models: Empiric estimates of the progression of end-stage liver disease. Medical Decision Making (2005) 25(6):620–632CrossrefGoogle Scholar
  • Alexander J. W., Zola J. C. Expanding the donor pool: Use of marginal donors for solid organ transplantation. Clinical Transplantation (1996) 10:1–19Google Scholar
  • Banjevic D., Jardine A. K. S., Makis V., Ennis M. A control-limit policy and software for condition-based maintenance optimization. INFOR (2001) 39(1):32–50Google Scholar
  • Barlow R. E., Proschan F.Mathematical Theory of Reliability (1965) (John Wiley and Sons, New York) Google Scholar
  • Bellman R. E.Dynamic Programming (1957) (Princeton University Press, Princeton, NJ) Google Scholar
  • Bilbao I., Figueras J., Grande L., Clèries M., Jaurrieta E., Visa J., Margarit C. Risk factors for death following liver retransplantation. Transplantation Proc. (2003) 35(5):1871–1873CrossrefGoogle Scholar
  • Bruns P. Optimality of randomized strategies in a Markovian replacement model. Math. Methods Oper. Res. (2003) 56(3):481–499CrossrefGoogle Scholar
  • Chen M., Feldman R. M. Optimal replacement policies with minimal repair and age-dependent costs. Eur. J. Oper. Res. (1997) 98(1):75–84CrossrefGoogle Scholar
  • Chew S., Ho J. L. Hope: An empirical study of attitudes toward the timing of uncertainty resolution. J. Risk Uncertainty (1994) 151:949–953Google Scholar
  • Collignon F. P., Holland E. C., Feng S. Organ donors with malignant gliomas: An update. Amer. J. Transplantation (2004) 4:15–21CrossrefGoogle Scholar
  • Cox D. R. Regression models in life tables (with discussion). J. Roy. Statist. Soc. B (1972) 34:187–220Google Scholar
  • David I. A sequential assignment match process with general renewal arrival times. Probab. Engrg. Inform. Sci. (1995) 9:475–492CrossrefGoogle Scholar
  • David I., Yechiali U. A time-dependent stopping problem with application to live organ transplants. Oper. Res. (1985) 33(3):491–504LinkGoogle Scholar
  • David I., Yechiali U. Sequential assignment match processes with arrivals of candidates and offers. Probab. Engrg. Inform. Sci. (1990) 4:413–430CrossrefGoogle Scholar
  • David I., Yechiali U. One-attribute sequential assignment match processes in discrete time. Oper. Res. (1995) 43(5):879–884LinkGoogle Scholar
  • De Serres Y. Simultaneous optimization of flow-control and scheduling in a single server queue with two job classes: Numerical results and approximation. Comput. Oper. Res. (1991) 18(4):361–378CrossrefGoogle Scholar
  • Derman C. On sequential decisions and Markov chains. Management Sci. (1962) 9(1):16–24LinkGoogle Scholar
  • Derman C., Bellman R. On optimal replacement rules when changes of state are Markovian. Mathematical Optimization Techniques (1963a) (The Rand Corporation, Berkeley, CA) 201–210Google Scholar
  • Derman C. Optimal replacement and maintenance under Markovian deterioration with probability bounds on failure. Management Sci. (1963b) 9(3):478–481LinkGoogle Scholar
  • Dienstag J. L., Isselbacher K. J., Braunwald E., Fauci A. S., Kasper D. L., Hauser S. L., Longo D. L., Jameson J. L. Chapter 295: Acute viral hepatitis. Harrison’s Principles of Internal Medicine (2001) (McGraw-Hill, New York) 1721–1736Google Scholar
  • Dudek K., Nyckowski P., Zieniewicz K., Michalowicz B., Pawlak J., Malkowski P., Krawczyk M. Liver retransplantation: Indications and results. Transplantation Proc. (2002) 34(2):638–639CrossrefGoogle Scholar
  • Gold M. R., Siegel J. E., Russell B., Weinstein M. C.Cost Effectiveness in Health and Medicine (1996) (Oxford University Press, New York) Google Scholar
  • Harrison J. M., Taksar M. I. Instantaneous control of a Brownian motion. Math. Oper. Res. (1983) 8(3):439–453LinkGoogle Scholar
  • Hornberger J. C., Ahn J. H. Deciding eligibility for transplantation when a donor kidney becomes available. Medical Decision Making (1997) 17:160–170CrossrefGoogle Scholar
  • Howard D. H. Why do transplant surgeons turn down organs?: A model of the accept/reject decision. J. Health Econom. (2002) 21(6):957–969CrossrefGoogle Scholar
  • Howard R.Dynamic Programming and Markov Processes (1960) (MIT Press, Cambridge, MA) Google Scholar
  • Institute of MedicineOrgan Procurement and Transplantation (1999) (National Academy Press, Washington, D.C.) . http://www.iom.edu/Google Scholar
  • Kyriakidis E. G. Optimal control of a simple immigration-emigration process through total catastrophes. Eur. J. Oper. Res. (2004) 155(1):198–208CrossrefGoogle Scholar
  • London Health Sciences Center Ethical issues. (2004) . Retrieved May 31, 2004, http://www.lhsc.on.ca/transplant/ethics.htmGoogle Scholar
  • Malinchoc M., Kamath P. S., Gordon F. D., Peine C. J., Rank J., ter Borg P. C. A model to predict poor survival in patients undergoing transjugular intrahepatic portosystemic shunts. Hepatology (2000) 31:864–871CrossrefGoogle Scholar
  • Pierskalla W. P., Voelker J. A. A survey of maintenance models: The control and surveillance of deteriorating systems. Naval Res. Logist. Quart. (1976) 23(3):353–388CrossrefGoogle Scholar
  • Podolsky D. K., Isselbacher K. J., Braunwald E., Fauci A. S., Kasper D. L., Hauser S. L., Longo D. L., Jameson J. L. Chapter 298: Cirrhosis and alcoholic liver disease. Harrison’s Principles of Internal Medicine (2001) (McGraw-Hill, New York) 1752–1753Google Scholar
  • Puterman M. L.Markov Decision Processes (1994) (John Wiley and Sons, New York) CrossrefGoogle Scholar
  • Righter R. A resource allocation problem in a random environment. Oper. Res. (1989) 37(2):329–338LinkGoogle Scholar
  • Roberts M. S., Angus D. C., Bryce C. L., 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):886–897CrossrefGoogle Scholar
  • Roth A., Sonmez T., Unver U. Kidney exchange. Quart. J. Econom. (2004) 119(2):457–488CrossrefGoogle Scholar
  • Scientific Registry of Transplant Recipients Transplant primer: Liver transplant. (2004) . Retrieved September 9, 2004, http://www.ustransplant.org/Google Scholar
  • Su X., Zenios S. Patient choice in kidney allocation: A sequential stochastic assignment model. Oper. Res. (2005) 53(3):443–455LinkGoogle Scholar
  • Topkis D. M.Supermodularity and Complementarity (1998) (Princeton University Press, Princeton, NJ) CrossrefGoogle Scholar
  • Ubel P. A., Caplan A. L. Geographic favoritism in liver transplantation—Unfortunate or unfair? New England J. Medicine (1998) 339(18):1322–1325CrossrefGoogle Scholar
  • United Network for Organ Sharing View data sources. (2004) . Retrieved September 28, 2004, http://www.unos.org/data/Google Scholar
  • United Network for Organ Sharing Organ distribution: Allocation of livers. (2005) . Retrieved May 10, 2005, http://www.unos.org/resources/Google Scholar
  • Valdez-Flores C., Feldman R. M. A survey of preventive maintenance models for stochastically deteriorating single-unit systems. Naval Res. Logist. (1989) 36:419–446CrossrefGoogle Scholar
  • Valenta Z. Estimation of survival function for Gray’s piecewise-constant time-varying coefficients model. (2002) . Ph.D. dissertation, University of Pittsburgh, Pittsburgh, PAGoogle Scholar
  • Weiss H. J. The computation of optimal control limits for a queue with batch services. Management Sci. (1979) 25(4):320–328LinkGoogle Scholar
  • Weiss H. J. Waiting time distribution in a queue with a bulk service rule. Opsearch (1981) 19(1):15–24Google Scholar
  • Weiss H. J., Pliska S. R. Optimal policies for batch service queueing systems. Opsearch (1982) 19(1):12–22Google Scholar
  • Wiesner R. H., McDiarmid S. V., Kamath P. S., Edwards E. B., Malinchoc M., Kremers W. K., Krom R. A. F., Kim W. R. MELD and PELD: Application of survival models to liver allocation. Liver Transplantation (2001) 7(7):567–580CrossrefGoogle Scholar
  • Yoo H. Y., Maheshwari A., Thuluvath P. Retransplantation of liver: Primary graft nonfunction and hepatitis C virus are associated with worse outcome. Liver Transplantation (2003) 9(9):897–904CrossrefGoogle Scholar
  • Zenios S. A., Chertow G. M., Wein L. M. Dynamic allocation of kidneys to candidates on the transplant waiting list. Oper. Res. (2000) 48(4):549–569LinkGoogle Scholar
  • Zenios S. A., Wein L. M., Chertow G. M. Evidence-based organ allocation. Amer. J. Medicine (1999) 107(1):52–61CrossrefGoogle Scholar
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