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Liver histological changes in patients with hepatitis B e antigen-negative chronic hepatitis B virus infection with low hepatitis B virus load / 中华传染病杂志
Article in Zh | WPRIM | ID: wpr-745004
Responsible library: WPRO
ABSTRACT
Objective To determine the predictive factors for antiviral therapy in hepatitis B e antigen (HBeAg)-negative chronic hepatitis B virus (HBV) infection [HBeAg(-) CHBI] patients with HBV DNA<4.3 lg IU/mL.Methods A total of 179 HBeAg (-) CHBI patients were retrospective analyzed.Histology activity index (HAI) and fibrosis (S) were scored according to the Knodell HAI scoring system,and HAI>3 and/or S≥3 was adopted as indications for treatment.Univariate and multiple regression analysis were used to assess factors associated with treatment indications.Receiver operating curves (ROC) and area under curve (AUC) were used to determine the predictive value of relevant factors.Results There were 81 cases with HAI>3 (45.3%) and 72 with S≥3 (40.22%),and the proportion of patients with indications for treatment was 54.7 %.Multiple regression analysis showed that age,γ-glutamyl transpeptadase (γ-GT),platelet (PLT) and albumin (Alb) were the predictive factors for the severity of liver damage and indication for treatment (all P<0.05).The AUC for age,PLT,γ-GT and Alb were 0.655,0.657,0.726 and 0.65,respectively,and the corresponding Yoden index for age,PLT,γ-GT,and Alb were 0.297,0.426,0.03 and 0.012,respectively,the sensitivities of predicting HBeAg (-CHBI for treatment indications were 0.643,0.842,0.705 and 0.653,respectively.Conclusions This study shows that 54.7% of HBeAg(-)CHBI patients with HBV DNA<4.3 lg IU/ml have significant liver histological changes and require antiviral treatment.Older age,higher γ-GT,lower PLT and lower Alb levels are the predictive factors for treatment.
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Full text: 1 Database: WPRIM Type of study: Prognostic_studies Language: Zh Journal: Chinese Journal of Infectious Diseases Year: 2018 Document type: Article
Full text: 1 Database: WPRIM Type of study: Prognostic_studies Language: Zh Journal: Chinese Journal of Infectious Diseases Year: 2018 Document type: Article
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