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Gamma-glutamyl Transpeptidase to Platelet Ratio Predicts Liver Injury in Hepatitis B e Antigen-negative Chronic Hepatitis B Patients With Normal Alanine Aminotransferase
BACKGROUND AND AIMS: Chronic hepatitis B virus (HBV) infection is a serious health problem worldwide. Evaluating liver injury in patients with hepatitis B e antigen (HBeAg)-negative chronic hepatitis B (CHB) with detectable HBV DNA and normal alanine aminotransferase (ALT) is crucial to guide their...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
XIA & HE Publishing Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9039718/ https://www.ncbi.nlm.nih.gov/pubmed/35528978 http://dx.doi.org/10.14218/JCTH.2021.00151 |
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author | Zhao, Xiang-An Wang, Jian Wei, Jie Liu, Jiacheng Chen, Guangmei Wang, Li Wang, Guiyang Xia, Juan Wu, Weihua Yin, Shengxia Tong, Xin Yan, Xiaomin Ding, Weimao Xiang, Xiaoxing Huang, Rui Wu, Chao |
author_facet | Zhao, Xiang-An Wang, Jian Wei, Jie Liu, Jiacheng Chen, Guangmei Wang, Li Wang, Guiyang Xia, Juan Wu, Weihua Yin, Shengxia Tong, Xin Yan, Xiaomin Ding, Weimao Xiang, Xiaoxing Huang, Rui Wu, Chao |
author_sort | Zhao, Xiang-An |
collection | PubMed |
description | BACKGROUND AND AIMS: Chronic hepatitis B virus (HBV) infection is a serious health problem worldwide. Evaluating liver injury in patients with hepatitis B e antigen (HBeAg)-negative chronic hepatitis B (CHB) with detectable HBV DNA and normal alanine aminotransferase (ALT) is crucial to guide their clinical management. We aimed to investigate the stages of liver inflammation and fibrosis as well as the predictive accuracy of gamma-glutamyl transpeptidase-to-platelet ratio (GPR) in these patients. METHODS: A total of 184 treatment-naïve HBeAg-negative CHB patients with detectable HBV DNA and normal ALT were enrolled. The Scheuer scoring system was used to classify liver inflammation and fibrosis. RESULTS: The distribution of patients with different liver inflammation grades were as follows: G0, 0 (0%); G1, 97 (52.7%); G2, 68 (37.0%); G3, 12 (6.5%); and G4, 7 (3.8%). The distribution of patients with different liver fibrosis stages were as follows: S0, 22 (12.0%); S1, 72 (39.1%); S2, 42 (22.8%); S3, 19 (10.3%); and S4, 29 (15.8%). The areas under the receiver operating characteristic (AUROC) curves of GPR in predicting significant inflammation, severe inflammation, and advanced inflammation were 0.723, 0.895, and 0.952, respectively. The accuracy of GPR was significantly superior to that of ALT in predicting liver inflammation. The AUROCs of GPR in predicting significant fibrosis, severe fibrosis, and cirrhosis were 0.691, 0.780, and 0.803, respectively. The predictive accuracy of GPR was significantly higher than that of aminotransferase-to-platelet ratio index (APRI) and fibrosis index based on four factors (FIB-4) in identifying advanced fibrosis and cirrhosis, and it was superior to FIB-4 but comparable to APRI in identifying significant fibrosis. CONCLUSIONS: Nearly half of the HBeAg-negative CHB patients with detectable HBV DNA and normal ALT levels had significant liver inflammation or fibrosis. GPR can serve as an accurate predictor of liver inflammation and fibrosis in these patients. |
format | Online Article Text |
id | pubmed-9039718 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | XIA & HE Publishing Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90397182022-05-06 Gamma-glutamyl Transpeptidase to Platelet Ratio Predicts Liver Injury in Hepatitis B e Antigen-negative Chronic Hepatitis B Patients With Normal Alanine Aminotransferase Zhao, Xiang-An Wang, Jian Wei, Jie Liu, Jiacheng Chen, Guangmei Wang, Li Wang, Guiyang Xia, Juan Wu, Weihua Yin, Shengxia Tong, Xin Yan, Xiaomin Ding, Weimao Xiang, Xiaoxing Huang, Rui Wu, Chao J Clin Transl Hepatol Original Article BACKGROUND AND AIMS: Chronic hepatitis B virus (HBV) infection is a serious health problem worldwide. Evaluating liver injury in patients with hepatitis B e antigen (HBeAg)-negative chronic hepatitis B (CHB) with detectable HBV DNA and normal alanine aminotransferase (ALT) is crucial to guide their clinical management. We aimed to investigate the stages of liver inflammation and fibrosis as well as the predictive accuracy of gamma-glutamyl transpeptidase-to-platelet ratio (GPR) in these patients. METHODS: A total of 184 treatment-naïve HBeAg-negative CHB patients with detectable HBV DNA and normal ALT were enrolled. The Scheuer scoring system was used to classify liver inflammation and fibrosis. RESULTS: The distribution of patients with different liver inflammation grades were as follows: G0, 0 (0%); G1, 97 (52.7%); G2, 68 (37.0%); G3, 12 (6.5%); and G4, 7 (3.8%). The distribution of patients with different liver fibrosis stages were as follows: S0, 22 (12.0%); S1, 72 (39.1%); S2, 42 (22.8%); S3, 19 (10.3%); and S4, 29 (15.8%). The areas under the receiver operating characteristic (AUROC) curves of GPR in predicting significant inflammation, severe inflammation, and advanced inflammation were 0.723, 0.895, and 0.952, respectively. The accuracy of GPR was significantly superior to that of ALT in predicting liver inflammation. The AUROCs of GPR in predicting significant fibrosis, severe fibrosis, and cirrhosis were 0.691, 0.780, and 0.803, respectively. The predictive accuracy of GPR was significantly higher than that of aminotransferase-to-platelet ratio index (APRI) and fibrosis index based on four factors (FIB-4) in identifying advanced fibrosis and cirrhosis, and it was superior to FIB-4 but comparable to APRI in identifying significant fibrosis. CONCLUSIONS: Nearly half of the HBeAg-negative CHB patients with detectable HBV DNA and normal ALT levels had significant liver inflammation or fibrosis. GPR can serve as an accurate predictor of liver inflammation and fibrosis in these patients. XIA & HE Publishing Inc. 2022-04-28 2021-07-14 /pmc/articles/PMC9039718/ /pubmed/35528978 http://dx.doi.org/10.14218/JCTH.2021.00151 Text en © 2022 Authors. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 4.0 International License (CC BY-NC 4.0), permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Zhao, Xiang-An Wang, Jian Wei, Jie Liu, Jiacheng Chen, Guangmei Wang, Li Wang, Guiyang Xia, Juan Wu, Weihua Yin, Shengxia Tong, Xin Yan, Xiaomin Ding, Weimao Xiang, Xiaoxing Huang, Rui Wu, Chao Gamma-glutamyl Transpeptidase to Platelet Ratio Predicts Liver Injury in Hepatitis B e Antigen-negative Chronic Hepatitis B Patients With Normal Alanine Aminotransferase |
title | Gamma-glutamyl Transpeptidase to Platelet Ratio Predicts Liver Injury in Hepatitis B e Antigen-negative Chronic Hepatitis B Patients With Normal Alanine Aminotransferase |
title_full | Gamma-glutamyl Transpeptidase to Platelet Ratio Predicts Liver Injury in Hepatitis B e Antigen-negative Chronic Hepatitis B Patients With Normal Alanine Aminotransferase |
title_fullStr | Gamma-glutamyl Transpeptidase to Platelet Ratio Predicts Liver Injury in Hepatitis B e Antigen-negative Chronic Hepatitis B Patients With Normal Alanine Aminotransferase |
title_full_unstemmed | Gamma-glutamyl Transpeptidase to Platelet Ratio Predicts Liver Injury in Hepatitis B e Antigen-negative Chronic Hepatitis B Patients With Normal Alanine Aminotransferase |
title_short | Gamma-glutamyl Transpeptidase to Platelet Ratio Predicts Liver Injury in Hepatitis B e Antigen-negative Chronic Hepatitis B Patients With Normal Alanine Aminotransferase |
title_sort | gamma-glutamyl transpeptidase to platelet ratio predicts liver injury in hepatitis b e antigen-negative chronic hepatitis b patients with normal alanine aminotransferase |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9039718/ https://www.ncbi.nlm.nih.gov/pubmed/35528978 http://dx.doi.org/10.14218/JCTH.2021.00151 |
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