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AIM To determine incidence and clinical biomarkers of marked necroinflammation and fibrosis characteristics among chronic hepatitis B(CHB) patients with persistently normal alanine aminotransferase(PNALT).METHODS Liver biopsy was performed on 115 CHB patients with PNALT. Necroinflammation and fibrosis were graded by the Knodell histologic activity index and the Ishak fibrosis score, respectively. Correlations between the available clinical parameters and necroinflammation and fibrosis were analysed.RESULTS Marked necroinflammation(Knodell activity index ≥ 7) and fibrosis(Ishak fibrosis score ≥ 3) were found in 36.5% and 15.5% of CHB patients with PNALT, respectively. Following a univariate logistic regression analysis, multiple logistic regression analysis indicated that aspartate transaminase(AST)(AUROC = 0.852, cut-off value = 22.5 U/L) serves as an independent predictor of notable liver inflammation, while platelet(PLT) count(AUROC = 0.905, cut-off value = 171.5 ×109/m L) and gamma-glutamyl transpeptidase(GGT)(AUROC = 0.909, cut-off value = 21.5 U/L) level serve as independent predictors of notable liver fibrosis.CONCLUSION A considerable proportion of marked histological abnormalities existed in our cohort, who will benefit from optimal therapeutic strategies administered according to predictive indication by AST, PLT and GGT levels.
AIM To determine incidence and clinical biomarkers of marked necroinflammation and fibrosis characteristics among chronic hepatitis B (CHB) patients with persistently normal alanine aminotransferase (PNALT) .METHODS Liver biopsy was performed on 115 CHB patients with PNALT. Necroinflammation and fibrosis were graded by the Knodell histories of activity index and the Ishak fibrosis score, respectively. respectively Correlations between the available clinical parameters and necroinflammation and fibrosis were analysed .RESULTS Marked necroinflammation (Knodell activity index ≥ 7) and fibrosis (Ishak fibrosis score ≥ 3) were found in 36.5% and 15.5 % of CHB patients with PNALT, respectively. Following a univariate logistic regression analysis, multiple logistic regression analysis that aspartate transaminase (AST) (AUROC = 0.852, cut-off value = 22.5 U / L) serves as an independent predictor of notable liver inflammation, while platelet (PLT) count (AUROC = 0.905, cut-off value = 171.5 × 109 / m L) and g level serve as independent predictors of not available liver fibrosis. CONCLUSION A considerable proportions of marked histological abnormalities existed in our cohort, who will benefit from optimal optimal (AUROC = 0.909, cut-off value = 21.5 U / L) therapeutic strategies administered according to predictive indications by AST, PLT and GGT levels.