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Non-ALT biomarkers for markedly abnormal liver histology among Chinese persistently normal alanine aminotransferase-chronic hepatitis B patients

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 f...

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Autores principales: Cheng, Jin-Lin, Wang, Xiao-Ling, Yang, Shi-Gui, Zhao, Hong, Wu, Jing-Jing, Li, Lan-Juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5403760/
https://www.ncbi.nlm.nih.gov/pubmed/28487618
http://dx.doi.org/10.3748/wjg.v23.i15.2802
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author Cheng, Jin-Lin
Wang, Xiao-Ling
Yang, Shi-Gui
Zhao, Hong
Wu, Jing-Jing
Li, Lan-Juan
author_facet Cheng, Jin-Lin
Wang, Xiao-Ling
Yang, Shi-Gui
Zhao, Hong
Wu, Jing-Jing
Li, Lan-Juan
author_sort Cheng, Jin-Lin
collection PubMed
description 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 ×10(9)/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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spelling pubmed-54037602017-05-09 Non-ALT biomarkers for markedly abnormal liver histology among Chinese persistently normal alanine aminotransferase-chronic hepatitis B patients Cheng, Jin-Lin Wang, Xiao-Ling Yang, Shi-Gui Zhao, Hong Wu, Jing-Jing Li, Lan-Juan World J Gastroenterol Observational Study 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 ×10(9)/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. Baishideng Publishing Group Inc 2017-04-21 2017-04-21 /pmc/articles/PMC5403760/ /pubmed/28487618 http://dx.doi.org/10.3748/wjg.v23.i15.2802 Text en ©The Author(s) 2017. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.
spellingShingle Observational Study
Cheng, Jin-Lin
Wang, Xiao-Ling
Yang, Shi-Gui
Zhao, Hong
Wu, Jing-Jing
Li, Lan-Juan
Non-ALT biomarkers for markedly abnormal liver histology among Chinese persistently normal alanine aminotransferase-chronic hepatitis B patients
title Non-ALT biomarkers for markedly abnormal liver histology among Chinese persistently normal alanine aminotransferase-chronic hepatitis B patients
title_full Non-ALT biomarkers for markedly abnormal liver histology among Chinese persistently normal alanine aminotransferase-chronic hepatitis B patients
title_fullStr Non-ALT biomarkers for markedly abnormal liver histology among Chinese persistently normal alanine aminotransferase-chronic hepatitis B patients
title_full_unstemmed Non-ALT biomarkers for markedly abnormal liver histology among Chinese persistently normal alanine aminotransferase-chronic hepatitis B patients
title_short Non-ALT biomarkers for markedly abnormal liver histology among Chinese persistently normal alanine aminotransferase-chronic hepatitis B patients
title_sort non-alt biomarkers for markedly abnormal liver histology among chinese persistently normal alanine aminotransferase-chronic hepatitis b patients
topic Observational Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5403760/
https://www.ncbi.nlm.nih.gov/pubmed/28487618
http://dx.doi.org/10.3748/wjg.v23.i15.2802
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