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具有利他性捐赠者的肾脏配对捐赠项目中的决策制定

Decision Making in Kidney Paired Donation Programs with Altruistic Donors.

作者信息

Li Yijiang, Song Peter X-K, Leichtman Alan B, Rees Michael A, Kalbfleisch John D

出版信息

Sort (Barc). 2014 Jan;38(1):53-72.

Abstract

In recent years, kidney paired donation (KPD) has been extended to include living non-directed or altruistic donors, in which an altruistic donor donates to the candidate of an incompatible donor-candidate pair with the understanding that the donor in that pair will further donate to the candidate of a second pair, and so on; such a process continues and thus forms an altruistic donor-initiated chain. In this paper, we propose a novel strategy to sequentially allocate the altruistic donor (or bridge donor) so as to maximize the expected utility; analogous to the way a computer plays chess, the idea is to evaluate different allocations for each altruistic donor (or bridge donor) by looking several moves ahead in a derived look-ahead search tree. Simulation studies are provided to illustrate and evaluate our proposed method.

摘要

近年来,肾脏配对捐赠(KPD)已扩展至包括活体非指定或利他性捐赠者,在这种情况下,一名利他性捐赠者向不相容的捐赠者-受赠者配对中的受赠者进行捐赠,条件是该配对中的捐赠者再向另一配对中的受赠者进行捐赠,依此类推;这样的过程持续进行,从而形成一条由利他性捐赠者发起的链条。在本文中,我们提出一种新颖的策略,用于依次分配利他性捐赠者(或桥梁捐赠者),以实现预期效用最大化;类似于计算机下棋的方式,其思路是通过在派生的前瞻搜索树中向前查看几步,来评估每个利他性捐赠者(或桥梁捐赠者)的不同分配方式。我们提供了模拟研究来阐述和评估我们提出的方法。

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