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Non-ALT biomarkers for markedly abnormal liver histology among Chinese persistently normal alanine aminotransferase-chronic hepatitis B patients.
World Journal of Gastroenterology : WJG 2017 April 22
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 /mL) 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.
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 /mL) 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.
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