IMPORTANCE: Despite the potential for altruistic nondirected donors (NDDs) to trigger multiple transplants through nonsimultaneous transplant chains, concerns exist that these chains siphon NDDs from the deceased donor wait list and that donors within chains might not donate after their partner receives a transplant. OBJECTIVE: To determine the number of transplantations NDDs trigger through chains. DESIGN: Retrospective review of large, multicenter living donor-recipient database. SETTING: Fifty-seven US transplant centers contributing donor-recipient pairs to the database. PARTICIPANTS: The NDDs initiating chain transplantation. MAIN OUTCOMES MEASURE: Number of transplants per NDD. RESULTS: Seventy-seven NDDs enabled 373 transplantations during 46 months starting February 2008. Mean chain length initiated by NDDs was 4.8 transplants (median, 3; range, 1-30). The 40 blood type O NDDs triggered a mean chain length of 6.0 (median, 4; range, 2-30). During the interval, 66 of 77 chains were closed to the wait list, 4 of 77 were ongoing, and 7 of 77 were broken because bridge donors became unavailable. No chains were broken in the last 15 months, and every recipient whose incompatible donor donated received a kidney. One hundred thirty-three blood type O recipients were transplanted. CONCLUSION AND RELEVANCE: This large series demonstrates that NDDs trigger almost 5 transplants on average, more if the NDD is blood type O. There were more blood type O recipients than blood type O NDDs participating. The benefits of transplanting 373 patients and enabling others without living donors to advance outweigh the risk of broken chains that is decreasing with experience. Even 66 patients on the wait list without living donors underwent transplantation with living-donor grafts at the end of these chains.
IMPORTANCE: Despite the potential for altruistic nondirected donors (NDDs) to trigger multiple transplants through nonsimultaneous transplant chains, concerns exist that these chains siphon NDDs from the deceased donor wait list and that donors within chains might not donate after their partner receives a transplant. OBJECTIVE: To determine the number of transplantations NDDs trigger through chains. DESIGN: Retrospective review of large, multicenter living donor-recipient database. SETTING: Fifty-seven US transplant centers contributing donor-recipient pairs to the database. PARTICIPANTS: The NDDs initiating chain transplantation. MAIN OUTCOMES MEASURE: Number of transplants per NDD. RESULTS: Seventy-seven NDDs enabled 373 transplantations during 46 months starting February 2008. Mean chain length initiated by NDDs was 4.8 transplants (median, 3; range, 1-30). The 40 blood type O NDDs triggered a mean chain length of 6.0 (median, 4; range, 2-30). During the interval, 66 of 77 chains were closed to the wait list, 4 of 77 were ongoing, and 7 of 77 were broken because bridge donors became unavailable. No chains were broken in the last 15 months, and every recipient whose incompatible donor donated received a kidney. One hundred thirty-three blood type O recipients were transplanted. CONCLUSION AND RELEVANCE: This large series demonstrates that NDDs trigger almost 5 transplants on average, more if the NDD is blood type O. There were more blood type O recipients than blood type O NDDs participating. The benefits of transplanting 373 patients and enabling others without living donors to advance outweigh the risk of broken chains that is decreasing with experience. Even 66 patients on the wait list without living donors underwent transplantation with living-donor grafts at the end of these chains.
Authors: Courtenay M Holscher; Kyle Jackson; Alvin G Thomas; Christine E Haugen; Sandra R DiBrito; Karina Covarrubias; Sommer E Gentry; Matthew Ronin; Amy D Waterman; Allan B Massie; Jacqueline Garonzik Wang; Dorry L Segev Journal: Am J Transplant Date: 2018-09-12 Impact factor: 8.086
Authors: Komal Kumar; Courtenay M Holscher; Xun Luo; Jacqueline Garonzik Wang; Saad Anjum; Elizabeth A King; Allan B Massie; James M Tonascia; Tanjala S Purnell; Dorry L Segev Journal: Clin Transplant Date: 2017-11-02 Impact factor: 2.863
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Authors: Eitan Novogrodsky; Alan Yaghoubian; Sarah E Connor; Elisabeth Hicks; Grecia B Vargas; Sima Nassiri; Ariella Maghen; Lorna Kwan; Amy D Waterman; Sally L Maliski; Jeffrey L Veale Journal: Health Commun Date: 2017-11-30
Authors: D E Fumo; V Kapoor; L J Reece; S M Stepkowski; J E Kopke; S E Rees; C Smith; A E Roth; A B Leichtman; M A Rees Journal: Am J Transplant Date: 2015-05-26 Impact factor: 9.369
Authors: Nathan Osbun; Alvin G Thomas; Mathew Ronin; Matthew Cooper; Stuart M Flechner; Dorry L Segev; Jeffrey L Veale Journal: Am J Transplant Date: 2021-07-17 Impact factor: 9.369
Authors: Mathieu Bray; Wen Wang; Michael A Rees; Peter X-K Song; Alan B Leichtman; Valarie B Ashby; John D Kalbfleisch Journal: Comput Biol Med Date: 2019-03-16 Impact factor: 6.698