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Noninvasive scoring system for significant inflammation related to chronic hepatitis B
Although a liver stiffness measurement-based model can precisely predict significant intrahepatic inflammation, transient elastography is not commonly available in a primary care center. Additionally, high body mass index and bilirubinemia have notable effects on the accuracy of transient elastograp...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5345042/ https://www.ncbi.nlm.nih.gov/pubmed/28281521 http://dx.doi.org/10.1038/srep43752 |
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author | Hong, Mei-Zhu Ye, Linglong Jin, Li-Xin Ren, Yan-Dan Yu, Xiao-Fang Liu, Xiao-Bin Zhang, Ru-Mian Fang, Kuangnan Pan, Jin-Shui |
author_facet | Hong, Mei-Zhu Ye, Linglong Jin, Li-Xin Ren, Yan-Dan Yu, Xiao-Fang Liu, Xiao-Bin Zhang, Ru-Mian Fang, Kuangnan Pan, Jin-Shui |
author_sort | Hong, Mei-Zhu |
collection | PubMed |
description | Although a liver stiffness measurement-based model can precisely predict significant intrahepatic inflammation, transient elastography is not commonly available in a primary care center. Additionally, high body mass index and bilirubinemia have notable effects on the accuracy of transient elastography. The present study aimed to create a noninvasive scoring system for the prediction of intrahepatic inflammatory activity related to chronic hepatitis B, without the aid of transient elastography. A total of 396 patients with chronic hepatitis B were enrolled in the present study. Liver biopsies were performed, liver histology was scored using the Scheuer scoring system, and serum markers and liver function were investigated. Inflammatory activity scoring models were constructed for both hepatitis B envelope antigen (+) and hepatitis B envelope antigen (−) patients. The sensitivity, specificity, positive predictive value, negative predictive value, and area under the curve were 86.00%, 84.80%, 62.32%, 95.39%, and 0.9219, respectively, in the hepatitis B envelope antigen (+) group and 91.89%, 89.86%, 70.83%, 97.64%, and 0.9691, respectively, in the hepatitis B envelope antigen (−) group. Significant inflammation related to chronic hepatitis B can be predicted with satisfactory accuracy by using our logistic regression-based scoring system. |
format | Online Article Text |
id | pubmed-5345042 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53450422017-03-14 Noninvasive scoring system for significant inflammation related to chronic hepatitis B Hong, Mei-Zhu Ye, Linglong Jin, Li-Xin Ren, Yan-Dan Yu, Xiao-Fang Liu, Xiao-Bin Zhang, Ru-Mian Fang, Kuangnan Pan, Jin-Shui Sci Rep Article Although a liver stiffness measurement-based model can precisely predict significant intrahepatic inflammation, transient elastography is not commonly available in a primary care center. Additionally, high body mass index and bilirubinemia have notable effects on the accuracy of transient elastography. The present study aimed to create a noninvasive scoring system for the prediction of intrahepatic inflammatory activity related to chronic hepatitis B, without the aid of transient elastography. A total of 396 patients with chronic hepatitis B were enrolled in the present study. Liver biopsies were performed, liver histology was scored using the Scheuer scoring system, and serum markers and liver function were investigated. Inflammatory activity scoring models were constructed for both hepatitis B envelope antigen (+) and hepatitis B envelope antigen (−) patients. The sensitivity, specificity, positive predictive value, negative predictive value, and area under the curve were 86.00%, 84.80%, 62.32%, 95.39%, and 0.9219, respectively, in the hepatitis B envelope antigen (+) group and 91.89%, 89.86%, 70.83%, 97.64%, and 0.9691, respectively, in the hepatitis B envelope antigen (−) group. Significant inflammation related to chronic hepatitis B can be predicted with satisfactory accuracy by using our logistic regression-based scoring system. Nature Publishing Group 2017-03-10 /pmc/articles/PMC5345042/ /pubmed/28281521 http://dx.doi.org/10.1038/srep43752 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Hong, Mei-Zhu Ye, Linglong Jin, Li-Xin Ren, Yan-Dan Yu, Xiao-Fang Liu, Xiao-Bin Zhang, Ru-Mian Fang, Kuangnan Pan, Jin-Shui Noninvasive scoring system for significant inflammation related to chronic hepatitis B |
title | Noninvasive scoring system for significant inflammation related to chronic hepatitis B |
title_full | Noninvasive scoring system for significant inflammation related to chronic hepatitis B |
title_fullStr | Noninvasive scoring system for significant inflammation related to chronic hepatitis B |
title_full_unstemmed | Noninvasive scoring system for significant inflammation related to chronic hepatitis B |
title_short | Noninvasive scoring system for significant inflammation related to chronic hepatitis B |
title_sort | noninvasive scoring system for significant inflammation related to chronic hepatitis b |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5345042/ https://www.ncbi.nlm.nih.gov/pubmed/28281521 http://dx.doi.org/10.1038/srep43752 |
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