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Liver

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2016 English Publisher:Elsevier BVJournal:American Journal of Transplantation, volume 16, pages 69-98 (issn: 1600-6135,

Authors: W R, Kim; J R, Lake; J M, Smith; M A, Skeans; D P, Schladt; E B, Edwards; A M, Harper; +4 Authors

doi: 10.1111/ajt.13668

pmid: 26755264

Liver

- Summary
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Abstract

The median waiting time for patients with MELD ≥ 35 decreased from 18 days in 2012 to 9 days in 2014, after implementation of the Share 35 policy in June 2013. Similarly, mortality among candidates listed with MELD ≥ 35 decreased from 366 per 100 waitlist years in 2012 to 315 in 2014. The number of new active candidates added to the pediatric liver transplant waiting list in 2014 was 655, down from a peak of 826 in 2005. The number of prevalent candidates (on the list on December 31 of the given year) continued to decline, 401 active and 173 inactive. The number of deceased donor pediatric liver transplants peaked at 542 in 2008 and was 478 in 2014. The number of living donor liver pediatric transplants was 52 in 2014; most were from donors closely related to the recipients. Graft survival continued to improve among pediatric recipients of deceased donor and living donor livers.

Related Organizations

Hennepin County Medical Center
United States
University of Mary
United States
University of Minnesota Morris
United States
Stanford University
United States

Keywords

Adult, Time Factors, Adolescent, Waiting Lists, Graft Survival, Middle Aged, Tissue Donors, United States, Liver Transplantation, End Stage Liver Disease, Young Adult, Treatment Outcome, Child, Preschool, Living Donors, Humans, Child, Immunosuppressive Agents, Aged

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	110
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%