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Long term simulation analysis of deceased donor initiated chains in kidney exchange programs.
Verma, Utkarsh; Rangaraj, Nayaran; Billa, Viswanath; Usulumarty, Deepa.
Affiliation
  • Verma U; Department of Industrial Engineering and Operations Research, Indian Institute of Technology, Bombay, Mumbai, India.
  • Rangaraj N; Department of Industrial Engineering and Operations Research, Indian Institute of Technology, Bombay, Mumbai, India.
  • Billa V; Apex Swap Transplant Registry, Apex Kidney Foundation, Mumbai, India.
  • Usulumarty D; Department of Nephrology, Apex Kidney Care, Sushrut Hospital, Mumbai, India.
Health Syst (Basingstoke) ; 13(2): 121-132, 2024.
Article in En | MEDLINE | ID: mdl-38800603
ABSTRACT
Kidney exchange programs (KEPs) aim to find compatible kidneys for recipients with incompatible donors. Patients without a living donor depend upon deceased donor (DD) donations to get a kidney transplant. In India, a ©DD donates kidneys directly to a©DD wait-list. The idea of initiating an exchange chain starting from a ©DD kidney is proposed in a few articles (and executed in Italy in 2018), but no mathematical formulation has been given for this merger. We have introduced an integer programming formulation that creates ©DD-initiated chains, considering both paired exchange registry and ©DD allocations simultaneously and addressing the overlap issue between the exchange registry and ©DD wait-list as recipients can register for both registries independently. A long-term simulation study is done to ©analyse the gain of these DD-initiated chains over time. It suggests that even with small numbers of ©DDs, these chains can significantly increase potential transplants.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Health Syst (Basingstoke) Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Health Syst (Basingstoke) Year: 2024 Document type: Article