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Deceased donors as nondirected donors in kidney paired donation.
Wang, Wen; Rees, Michael A; Leichtman, Alan B; Song, Peter X-K; Bray, Mathieu; Ashby, Valarie B; Shearon, Tempie; Whiteman, Andrew; Kalbfleisch, John D.
Affiliation
  • Wang W; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.
  • Rees MA; Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, Michigan, USA.
  • Leichtman AB; Department of Urology, University of Toledo Medical Center, Toledo, Ohio, USA.
  • Song PX; Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, Michigan, USA.
  • Bray M; Department of Medicine, University of Michigan, Ann Arbor, Michigan, USA.
  • Ashby VB; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.
  • Shearon T; Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, Michigan, USA.
  • Whiteman A; GSK, Research Statistics, Collegeville, , Philadelphia, Pennsylvania, USA.
  • Kalbfleisch JD; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.
Am J Transplant ; 21(1): 103-113, 2021 01.
Article in En | MEDLINE | ID: mdl-32803856
ABSTRACT
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tissue and Organ Procurement / Kidney Transplantation Aspects: Ethics Limits: Humans Language: En Journal: Am J Transplant Journal subject: TRANSPLANTE Year: 2021 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tissue and Organ Procurement / Kidney Transplantation Aspects: Ethics Limits: Humans Language: En Journal: Am J Transplant Journal subject: TRANSPLANTE Year: 2021 Document type: Article Affiliation country: United States