Predicting Hepatic Steatosis in Living Liver Donors Via Controlled Attenuation Parameter

Transplant Proc. 2018 Dec;50(10):3533-3538. doi: 10.1016/j.transproceed.2018.06.039. Epub 2018 Jun 30.

Abstract

Background: Hepatic steatosis (HS) can cause substantial problems for both donors and recipients in living donor liver transplantation. The controlled attenuation parameter (CAP) is a noninvasive method of measuring HS using a process based on transient elastography.

Aim: To evaluate the accuracy of CAP in quantifying HS during living donor liver transplantation.

Methods: A total of 54 liver donors who received CAP and intraoperative liver biopsy (LB) were enrolled in this study. The performance of CAP compared with LB for diagnosing HS was assessed using areas under receiver operating characteristic curves. HS was defined by the presence of steatosis in >5% of hepatocytes.

Results: No HS was found in 47 donors, while the remaining 7 donors showed HS ranging from 10% to 30%. Using CAP, the area under receiver operating characteristic curve was 0.96 (95% CI, 0.91-1; P < .001) for HS; the optimal cutoff value for HS was 257 dB/m (sensitivity: 100%, specificity: 89.4%, positive predictive value: 58.3%, negative predictive value: 100%). Among the 42 candidates with CAP <257 dB/m, none had HS, while of the 12 candidates with CAP ≥257 dB/m, 7 had HS. In a multivariate linear regression analyses, body mass index (β = 0.71, P < .001) was found to be independently associated with CAP in those without HS.

Conclusions: CAP might be a promising tool to exclude HS in East Asian living liver donors. Body mass index was found to be independently associated with CAP values in those without HS.

MeSH terms

  • Adult
  • Area Under Curve
  • Asian People
  • Biopsy
  • Body Mass Index
  • Elasticity Imaging Techniques / methods*
  • Fatty Liver / diagnostic imaging*
  • Female
  • Humans
  • Linear Models
  • Liver Transplantation*
  • Living Donors*
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Predictive Value of Tests
  • ROC Curve
  • Severity of Illness Index
  • Transplants / diagnostic imaging
  • Transplants / pathology*