Simulating the Impact of Crossover Kidney Transplantation on the Nord Italia Transplant Program

Monica Salvioli, Roberto Lucchetti and Rosanna Torelli
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Monica Salvioli: Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna, 25124 Brescia, Italy
Roberto Lucchetti: Department of Mathematics, Politecnico di Milano, 20133 Milano, Italy
Rosanna Torelli: Organ and Tissue Transplantation Immunology, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico di Milano, 20122 Milano, Italy

Games, 2016, vol. 7, issue 4, 1-9

Abstract: The increasing number of patients affected by chronic kidney disease makes it necessary to rely on living donors. However, a patient often cannot exploit her potential donor, due to blood or tissue incompatibility. Therefore, crossover transplantation programs have been developed in several countriesin order to increase the number of people receiving a kidney from a living donor. After reviewing the essential medical facts needed for the subsequent results, we quickly introduce two known algorithms for crossover transplantation. Next, we consider a dataset provided by the Nord Italia Transplant program, and we apply the above algorithms in order to highlight the benefits of these efficient procedures.

Keywords: kidney transplantation; living donor; dichotomous preferences; priority mechanism; TTCC; cycles and chains (search for similar items in EconPapers)
JEL-codes: C C7 C70 C71 C72 C73 (search for similar items in EconPapers)
Date: 2016
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