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A noninvasive model discriminating significant histological changes in treatment-naive chronic hepatitis B patients with normal ALT

BACKGROUND: Traditionally part of chronic hepatitis B (CHB) patients with normal alanine aminotransferase (ALT) are recommended to antiviral therapy referring to liver biopsy. However, liver biopsy is an invasive method with various potential complications. A noninvasive model was established in the...

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Autores principales: Teng, Jiaming, Du, Yanan, Visalath, Phimphone, Zhou, Tianhui, Du, Bingying, Zhang, Qin, Cai, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835358/
https://www.ncbi.nlm.nih.gov/pubmed/36631824
http://dx.doi.org/10.1186/s12985-023-01963-x
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author Teng, Jiaming
Du, Yanan
Visalath, Phimphone
Zhou, Tianhui
Du, Bingying
Zhang, Qin
Cai, Wei
author_facet Teng, Jiaming
Du, Yanan
Visalath, Phimphone
Zhou, Tianhui
Du, Bingying
Zhang, Qin
Cai, Wei
author_sort Teng, Jiaming
collection PubMed
description BACKGROUND: Traditionally part of chronic hepatitis B (CHB) patients with normal alanine aminotransferase (ALT) are recommended to antiviral therapy referring to liver biopsy. However, liver biopsy is an invasive method with various potential complications. A noninvasive model was established in the study to evaluate liver histology and to identify the need of antiviral therapy. METHODS: A total of 614 liver biopsied CHB patients with ALT less than upper limit of normal from 2 centers were retrospectively analyzed. They were divided into a training cohort and a validation cohort. A noninvasive model to predict the significant liver histological changes was established and validated. RESULTS: The results of analysis showed that ALT, Age, platelet (PLT) and liver stiffness (LS) were independent risk factors for significant liver injury. The model was established based on the 4 indexes, with the area under the curve of 0.85 and 0.87 in training cohort and validation cohort. Meanwhile, 2 cut-off scores were selected. By applying the low cut-off score (− 0.207), patients without significant liver injury could be identified with high accuracy, with negative predictive value of 72.7% and 73.7% in training and validation cohorts. By applying the high cut-off score (0.537), the presence of significant liver injury could be diagnosed with high accuracy, with positive predictive value of 90.3% and 88.8% in the training and validation cohorts. By applying the model, liver biopsy would have been avoided in 87.6% (538/614) patients, with correct prediction in 87.9% (473/538). CONCLUSION: The novel noninvasive model composed of ALT, Age, PLT, LS can correctly assess liver histology in CHB patient with normal ALT, which helps to determine the need of antiviral therapy without liver biopsy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12985-023-01963-x.
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spelling pubmed-98353582023-01-13 A noninvasive model discriminating significant histological changes in treatment-naive chronic hepatitis B patients with normal ALT Teng, Jiaming Du, Yanan Visalath, Phimphone Zhou, Tianhui Du, Bingying Zhang, Qin Cai, Wei Virol J Research BACKGROUND: Traditionally part of chronic hepatitis B (CHB) patients with normal alanine aminotransferase (ALT) are recommended to antiviral therapy referring to liver biopsy. However, liver biopsy is an invasive method with various potential complications. A noninvasive model was established in the study to evaluate liver histology and to identify the need of antiviral therapy. METHODS: A total of 614 liver biopsied CHB patients with ALT less than upper limit of normal from 2 centers were retrospectively analyzed. They were divided into a training cohort and a validation cohort. A noninvasive model to predict the significant liver histological changes was established and validated. RESULTS: The results of analysis showed that ALT, Age, platelet (PLT) and liver stiffness (LS) were independent risk factors for significant liver injury. The model was established based on the 4 indexes, with the area under the curve of 0.85 and 0.87 in training cohort and validation cohort. Meanwhile, 2 cut-off scores were selected. By applying the low cut-off score (− 0.207), patients without significant liver injury could be identified with high accuracy, with negative predictive value of 72.7% and 73.7% in training and validation cohorts. By applying the high cut-off score (0.537), the presence of significant liver injury could be diagnosed with high accuracy, with positive predictive value of 90.3% and 88.8% in the training and validation cohorts. By applying the model, liver biopsy would have been avoided in 87.6% (538/614) patients, with correct prediction in 87.9% (473/538). CONCLUSION: The novel noninvasive model composed of ALT, Age, PLT, LS can correctly assess liver histology in CHB patient with normal ALT, which helps to determine the need of antiviral therapy without liver biopsy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12985-023-01963-x. BioMed Central 2023-01-11 /pmc/articles/PMC9835358/ /pubmed/36631824 http://dx.doi.org/10.1186/s12985-023-01963-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Teng, Jiaming
Du, Yanan
Visalath, Phimphone
Zhou, Tianhui
Du, Bingying
Zhang, Qin
Cai, Wei
A noninvasive model discriminating significant histological changes in treatment-naive chronic hepatitis B patients with normal ALT
title A noninvasive model discriminating significant histological changes in treatment-naive chronic hepatitis B patients with normal ALT
title_full A noninvasive model discriminating significant histological changes in treatment-naive chronic hepatitis B patients with normal ALT
title_fullStr A noninvasive model discriminating significant histological changes in treatment-naive chronic hepatitis B patients with normal ALT
title_full_unstemmed A noninvasive model discriminating significant histological changes in treatment-naive chronic hepatitis B patients with normal ALT
title_short A noninvasive model discriminating significant histological changes in treatment-naive chronic hepatitis B patients with normal ALT
title_sort noninvasive model discriminating significant histological changes in treatment-naive chronic hepatitis b patients with normal alt
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835358/
https://www.ncbi.nlm.nih.gov/pubmed/36631824
http://dx.doi.org/10.1186/s12985-023-01963-x
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