BACKGROUND: Hepatitis B virus (HBV) recurrence is a major risk factor affecting the long-term survival of recipients for liver transplantation (LTx). Therefore, a model that can assess this risk before transplantation is highly desirable. METHODS: One hundred and eighty-five consecutive liver transplant recipients because of HBV-related end-stage liver diseases were selected. Their perioperative laboratory examination results, treatment protocol and the status of HBV recurrence were the primary parameters used to assess their risk of post-transplant HBV recurrence. A model that may be generally used to evaluate the risk of post-transplant HBV recurrence was thus established. A cohort for further validation and a cross-validation were designed. RESULTS: After a follow-up time of 26.0 ± 10.8 months, the overall HBV recurrence rate was 8.6%. The 1-, 2- and 3-year cumulative survival rates were 98.5, 89.2 and 83.4% respectively. By correlation with the pretransplant presence of hepatocelluar carcinoma (HCC), serum HBV DNA level and status of antiviral treatment (AVT), the risk assessment model can be summarized using the following equation: RISK=-4.378 + 1.493 × HCC + 1.286 × DNA - 2.426 × AVT. The HBV recurrence rate and survival were found to be significantly different between the recipients with risk scores ≤-2.8 and >-2.8. The model was well validated in this work. CONCLUSIONS: Pretransplant HBV DNA level, presence of HCC, AVT status and post-transplant viral mutation were identified as the major risk factors associated with HBV recurrence after LTx. A novel model incorporating these factors could effectively evaluate the risk of post-transplant HBV recurrence before transplantation.
BACKGROUND:Hepatitis B virus (HBV) recurrence is a major risk factor affecting the long-term survival of recipients for liver transplantation (LTx). Therefore, a model that can assess this risk before transplantation is highly desirable. METHODS: One hundred and eighty-five consecutive liver transplant recipients because of HBV-related end-stage liver diseases were selected. Their perioperative laboratory examination results, treatment protocol and the status of HBV recurrence were the primary parameters used to assess their risk of post-transplant HBV recurrence. A model that may be generally used to evaluate the risk of post-transplant HBV recurrence was thus established. A cohort for further validation and a cross-validation were designed. RESULTS: After a follow-up time of 26.0 ± 10.8 months, the overall HBV recurrence rate was 8.6%. The 1-, 2- and 3-year cumulative survival rates were 98.5, 89.2 and 83.4% respectively. By correlation with the pretransplant presence of hepatocelluar carcinoma (HCC), serum HBV DNA level and status of antiviral treatment (AVT), the risk assessment model can be summarized using the following equation: RISK=-4.378 + 1.493 × HCC + 1.286 × DNA - 2.426 × AVT. The HBV recurrence rate and survival were found to be significantly different between the recipients with risk scores ≤-2.8 and >-2.8. The model was well validated in this work. CONCLUSIONS: Pretransplant HBV DNA level, presence of HCC, AVT status and post-transplant viral mutation were identified as the major risk factors associated with HBV recurrence after LTx. A novel model incorporating these factors could effectively evaluate the risk of post-transplant HBV recurrence before transplantation.
Authors: S K Sarin; M Kumar; G K Lau; Z Abbas; H L Y Chan; C J Chen; D S Chen; H L Chen; P J Chen; R N Chien; A K Dokmeci; Ed Gane; J L Hou; W Jafri; J Jia; J H Kim; C L Lai; H C Lee; S G Lim; C J Liu; S Locarnini; M Al Mahtab; R Mohamed; M Omata; J Park; T Piratvisuth; B C Sharma; J Sollano; F S Wang; L Wei; M F Yuen; S S Zheng; J H Kao Journal: Hepatol Int Date: 2015-11-13 Impact factor: 6.047
Authors: Alberto Ferrarese; Alberto Zanetto; Martina Gambato; Ilaria Bortoluzzi; Elena Nadal; Giacomo Germani; Marco Senzolo; Patrizia Burra; Francesco Paolo Russo Journal: World J Gastroenterol Date: 2016-01-28 Impact factor: 5.742
Authors: Chuan Li; Kai Mi; Tian fu Wen; Lu nan Yan; Bo Li; Jia ying Yang; Ming qing Xu; Wen tao Wang; Yong gang Wei Journal: PLoS One Date: 2011-11-07 Impact factor: 3.240