Adult Live Donor Liver Transplant: A Comparative Analysis

DESCRIPTION (provided by applicant):The shortage of available cadaver organs has prompted the transplant community to consider living donor liver transplantation (LDLT) as an effective alternative to cadaveric liver transplantation (CLT). The potential limitations of LDLT consist primarily of 1) the potential risk to an otherwise healthy donor, and 2) the uncertainty regarding graft and patient outcomes for LDLT as compared to CLT. The core project of this proposal will compare outcomes for recipients of LDLT to those of CLT, while addressing the potential complications to living donors. In addition, we propose to analyze two separate issues. First, we will evaluate donor hepatic steatosis in both LDLT and CLT. We will compare novel non-invasive measurements of steatosis in living donors with the current gold standard, a liver biopsy. We will compare the results of transplanting steatotic livers from living and cadaveric donors, assessing graft and patient outcomes in both groups. We will also evaluate the role of hepatic steatosis on liver regeneration in both the living donor and recipient. We hypothesize that outcome of transplantation in steatotic livers of LDLT is superior to results obtained in steatotic CLT recipients. This first aim will help design a decision algorithm for the use of steatotic livers in both CLT and LDLT while validating non-invasive measurements of hepatic steatosis. Second, we propose to address the potential role for LDLT in the multimodal management of hepatocellular carcinoma (HCC). Given the lack of randomized trials and large case series, this issue has been recently addressed in studies utilizing decision-modeling analysis. This second aim will provide clinical data to validate these studies, and will compare CLT, with its inherent waiting times, to LDLT, a strategy that theoretically eliminates waiting times. We hypothesize that the outcome of transplantation of HCC in LDLT is superior to results obtained with CLT. In the aggregate