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Large fragment pre-s deletion and high viral load independently predict hepatitis B relapse after liver transplantation

  • Ting Jung Wu
  • , Tse Ching Chen
  • , Frank Wang
  • , Kun Ming Chan
  • , Ruey Shyang Soong
  • , Hong Shiue Chou
  • , Wei Chen Lee
  • , Chau Ting Yeh

研究成果: 雜誌貢獻文章同行評審

8   !!Link opens in a new tab 引文 斯高帕斯(Scopus)

摘要

Hepatitis B virus (HBV) associated end-stage liver diseases are the leading causes of liver transplantation (LT) in Taiwan. Relapse of hepatitis B occurs after LT, raising the risk of graft failure and reducing patient survival. Although several oral antiviral agents have been approved for anti-HBV treatment, lamivudine (LAM) remained to be the most widely used preventive regimen in Taiwan. While several clinical predictors have been identified for hepatitis B relapse, the predictive roles of the histopathological characteristics in liver explants as well as the genotypic features of the viruses in pre-LT serum samples have not been assessed. Between September 2002 and August 2009, 150 consecutive hepatitis B surface antigen (HBsAg) positive patients undergoing LT were included for outcome analysis following assessment of the clinicopathological and virological factors prior to LT. Kaplan-Meier analyses discovered that pre-operative LAM treatment ≤3 months; membranous distribution and higher expression of tissue HBsAg in liver explants; preoperative viral load ≧10 6 copies/ml; and presence of large fragment (>100 base pairs) pre-S deletion (LFpreSDel) correlated significantly with hepatitis B relapse. Multivariate Cox regression analysis showed that the presence of LFpreSDel (P = 0.001) and viral load ≧10 6 copies/mL (P = 0.023) were independent predictors for hepatitis B relapse. In conclusion, besides high viral load, LFpreSDel mutation is an important independent predictor for hepatitis B relapse after LT. More aggressive preventive strategies should be applied for patients carrying these risk factors.
原文英語
文章編號e32189
期刊PLoS ONE
7
發行號2
DOIs
出版狀態已發佈 - 2月 21 2012
對外發佈

UN SDG

此研究成果有助於以下永續發展目標

  1. SDG 3 - 良好的健康和福祉
    SDG 3 良好的健康和福祉

ASJC Scopus subject areas

  • 多學科

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