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

IF 1.2 Q4 HEALTH POLICY & SERVICES Health Systems Pub Date : 2023-04-04 eCollection Date: 2024-01-01 DOI:10.1080/20476965.2023.2197023
Utkarsh Verma, Nayaran Rangaraj, Viswanath Billa, Deepa Usulumarty
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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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肾脏交换计划中已故供者启动链的长期模拟分析
肾脏交换项目已经发展起来,为有不相容供体的受者寻找相容的肾脏。另一方面,没有活体捐赠者的患者依靠已故捐赠者(DD)的捐赠来获得肾脏移植。目前,在印度,已故捐赠者直接将肾脏捐赠给等待捐赠的已故捐赠者。在一些文章中提出了从已故捐赠者的肾脏开始启动交换链的想法(最近在意大利实施),但没有给出这种合并的数学公式。我们引入了一个整数规划公式,该公式可以创建已故捐赠者发起的链,同时考虑配对交换注册和已故捐赠者分配。配对交换登记和已故捐赠者等候名单登记数据之间可能存在重叠,因为接受者可以独立地为这两个登记进行登记。本文也对此进行了论述。我们进行了长期的模拟研究,以分析这些DD启动链随时间的增益。这表明,即使只有少量的已故捐献者,这些器官链也能显著增加潜在的移植数量。此外,合并注册表中的等待时间和退出率也大大降低。
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来源期刊
Health Systems
Health Systems HEALTH POLICY & SERVICES-
CiteScore
4.20
自引率
11.10%
发文量
20
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