Decision Making in Kidney Paired Donation Programs with Altruistic Donors

Area of Science:

• Nephrology
• Transplantation Surgery
• Operations Research

Background:

• Kidney paired donation (KPD) facilitates living donor kidney transplantation for incompatible pairs.
• Altruistic donors can initiate chains in KPD, expanding donor pools.
• Optimizing the allocation of altruistic donors is crucial for maximizing transplantation outcomes.

Purpose of the Study:

• To propose a novel strategy for sequentially allocating altruistic donors in kidney paired donation.
• To maximize the expected utility of altruistic donor-initiated chains.
• To evaluate the proposed allocation strategy using simulation.

Main Methods:

• Developed a sequential allocation strategy for altruistic donors (bridge donors).
• Employed a look-ahead search tree, analogous to chess algorithms, to evaluate donor allocations.
• Conducted simulation studies to assess the effectiveness of the proposed method.

Main Results:

• The proposed strategy aims to maximize expected utility in altruistic donor-initiated KPD chains.
• The look-ahead search approach allows for strategic, multi-step allocation decisions.
• Simulation results demonstrate the potential of this novel allocation method.

Conclusions:

• The novel strategy offers a systematic approach to optimizing altruistic donor allocation in KPD.
• This method can enhance the efficiency of kidney paired donation chains.
• Further research and simulation are needed to fully evaluate clinical impact.