| Literature DB >> 31898411 |
J H Wang1, S K Gustafson2, M A Skeans2, J R Lake3, W R Kim4, B L Kasiske1,2, A K Israni1,2,5, A Hart1,2.
Abstract
Direct acting antivirals (DAAs) have fundamentally changed the treatment of hepatitis C virus (HCV) infection and reduced the discard rate of HCV-infected organs by offering a treatment option with a high likelihood of cure posttransplant. This has spurred increased interest in transplanting organs from HCV-positive donors into recipients both with and without HCV. In this chapter, we examine data from 2007 to 2018 to determine trends in HCV (+) donor transplants across various organ types. Since 2015, willingness to accept HCV (+) organs increased for candidates waitlisted for kidney, lung, heart, and pancreas transplant, but decreased for those listed for intestine transplant. For candidates listed for liver transplant, willingness to accept HCV (+) organs decreased from 2007 to 2017, but began increasing in 2017. Willingness to accept was not concentrated in a single US geographic area, and there was substantial variation among transplant programs and donation service areas. Numbers of anti-HCV (+) donor kidney, heart, lung, and liver transplants have increased considerably in the past few years. Short-term allograft survival for kidney and liver transplant recipients of anti-HCV (+) organs appears to be comparable to that for recipients of anti-HCV (-) organs in an unadjusted analysis. However, an unadjusted analysis indicates that long-term allograft survival may be worse. Kidney transplant between HCV-infected donors and uninfected recipients with posttransplant DAA treatment is an emerging area. Short-term data are promising, with similar 1-year allograft survival compared with HCV-uninfected donor to HCV-uninfected recipient kidney transplants in unadjusted analyses. However, long-term data are lacking and close monitoring in the future is warranted. .Entities:
Year: 2020 PMID: 31898411 DOI: 10.1111/ajt.15679
Source DB: PubMed Journal: Am J Transplant ISSN: 1600-6135 Impact factor: 8.086