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Long term simulation analysis of deceased donor initiated chains in kidney exchange programs

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  • Utkarsh Verma
  • Nayaran Rangaraj
  • Viswanath Billa
  • Deepa Usulumarty

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.

Suggested Citation

  • Utkarsh Verma & Nayaran Rangaraj & Viswanath Billa & Deepa Usulumarty, 2024. "Long term simulation analysis of deceased donor initiated chains in kidney exchange programs," Health Systems, Taylor & Francis Journals, vol. 13(2), pages 121-132, April.
    • Handle: RePEc:taf:thssxx:v:13:y:2024:i:2:p:121-132
    DOI: 10.1080/20476965.2023.2197023
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