Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.
Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, Michigan, USA.
Am J Transplant. 2021 Jan;21(1):103-113. doi: 10.1111/ajt.16268. Epub 2020 Sep 19.
As proof of concept, we simulate a revised kidney allocation system that includes deceased donor (DD) kidneys as chain-initiating kidneys (DD-CIK) in a kidney paired donation pool (KPDP), and estimate potential increases in number of transplants. We consider chains of length 2 in which the DD-CIK gives to a candidate in the KPDP, and that candidate's incompatible donor donates to theDD waitlist. In simulations, we vary initial pool size, arrival rates of candidate/donor pairs and (living) nondirected donors (NDDs), and delay time from entry to the KPDP until a candidate is eligible to receive a DD-CIK. Using data on candidate/donor pairs and NDDs from the Alliance for Paired Kidney Donation, and the actual DDs from the Scientific Registry of Transplant Recipients (SRTR) data, simulations extend over 2 years. With an initial pool of 400, respective candidate and NDD arrival rates of 2 per day and 3 per month, and delay times for access to DD-CIK of 6 months or less, including DD-CIKs increases the number of transplants by at least 447 over 2 years, and greatly reduces waiting times of KPDP candidates. Potential effects on waitlist candidates are discussed as are policy and ethical issues.
作为概念验证,我们模拟了一个修订后的肾脏分配系统,其中包括将已故供体 (DD) 肾脏作为链起始肾脏 (DD-CIK) 纳入肾脏配对捐赠池 (KPDP),并估计移植数量的潜在增加。我们考虑长度为 2 的链,其中 DD-CIK 将肾脏捐赠给 KPDP 中的候选者,而该候选者的不合规供体将肾脏捐赠给 DD 候补名单。在模拟中,我们改变了初始池的大小、候选者/供体对和(活体)非定向供体 (NDD) 的到达率,以及从进入 KPDP 到候选者有资格接受 DD-CIK 的延迟时间。使用来自配对肾脏捐赠联盟的候选者/供体对和 NDD 数据,以及来自移植受者登记处 (SRTR) 数据的实际 DD,模拟时间延长至 2 年。初始池大小为 400,候选者和 NDD 的每日到达率分别为 2 和 3,以及访问 DD-CIK 的延迟时间为 6 个月或更短,包括 DD-CIK 在内,将在 2 年内至少增加 447 例移植,并且大大缩短了 KPDP 候选者的等待时间。还讨论了对候补名单候选者的潜在影响,以及政策和伦理问题。