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A model with combined viral and metabolic factors effectively predicts HBeAg status under long term entecavir therapy: a prospective cohort study

BACKGROUND & AIM: The aim was to extract factors from virologic and biochemical profiles at baseline and 24 weeks of treatment to predict HBeAg seroconversion in patients treated with ETV. METHODS: HBeAg positive chronic hepatitis B patients receiving ETV naïve-treatment were enrolled. HBV DNA,...

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Autores principales: Liu, Fen, Zou, Feng, Wang, Xiwei, Hu, Huaidong, Hu, Peng, Ren, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4630878/
https://www.ncbi.nlm.nih.gov/pubmed/26527281
http://dx.doi.org/10.1186/s12985-015-0409-y
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author Liu, Fen
Zou, Feng
Wang, Xiwei
Hu, Huaidong
Hu, Peng
Ren, Hong
author_facet Liu, Fen
Zou, Feng
Wang, Xiwei
Hu, Huaidong
Hu, Peng
Ren, Hong
author_sort Liu, Fen
collection PubMed
description BACKGROUND & AIM: The aim was to extract factors from virologic and biochemical profiles at baseline and 24 weeks of treatment to predict HBeAg seroconversion in patients treated with ETV. METHODS: HBeAg positive chronic hepatitis B patients receiving ETV naïve-treatment were enrolled. HBV DNA, ALT, and serological markers were prospectively monitored every 6 months for 240 weeks. The cumulative rates of virologic response (VR), biochemical response (BR), and HBeAg seroconversion were determined, and potential predictors for HBeAg seroconversion were identified through uni/multivariate analysis. RESULT: Two hundred twenty nine patients were eligible for this study. The cumulative rates of VR, BR, and HBeAg seroconversion at 240 weeks were 88.4 %, 100 %, and 36.7 %, respectively. Multivariate analysis showed that HBV DNA (OR, 2.8, p = 0.003), ALT (OR, 2.6, p = 0.005) at baseline, undetectable HBV DNA within 24 weeks (OR = 3.2, p < 0.001), and body mass index (BMI) ≥24kg/m(2) (OR = 0.038, p = 0.013) were associated with HBeAg seroconversion. A prediction model for probability of HBeAg seroconversion was constructed. Patients can be classified into high (>40 %), intermediate (20–40 %), or low (≤20 %) groups based on the calculated probability of HBeAg seroconversion. The cumulative rates of HBeAg seroconversion were different among the three groups (p < 0.001). About 58 % patients in the high probability group achieved HBeAg seroconversion while almost 90 % patients within the low group remained HBeAg positive. CONCLUSION: A combination of HBV DNA, ALT and BMI values at baseline, and undetectable HBV DNA level within 24 weeks can predict HBeAg seroconversion. Both viral and metabolic factors likely determine HBeAg status with ETV treatment. TRIAL REGISTRATION: CTR20132358
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spelling pubmed-46308782015-11-04 A model with combined viral and metabolic factors effectively predicts HBeAg status under long term entecavir therapy: a prospective cohort study Liu, Fen Zou, Feng Wang, Xiwei Hu, Huaidong Hu, Peng Ren, Hong Virol J Research BACKGROUND & AIM: The aim was to extract factors from virologic and biochemical profiles at baseline and 24 weeks of treatment to predict HBeAg seroconversion in patients treated with ETV. METHODS: HBeAg positive chronic hepatitis B patients receiving ETV naïve-treatment were enrolled. HBV DNA, ALT, and serological markers were prospectively monitored every 6 months for 240 weeks. The cumulative rates of virologic response (VR), biochemical response (BR), and HBeAg seroconversion were determined, and potential predictors for HBeAg seroconversion were identified through uni/multivariate analysis. RESULT: Two hundred twenty nine patients were eligible for this study. The cumulative rates of VR, BR, and HBeAg seroconversion at 240 weeks were 88.4 %, 100 %, and 36.7 %, respectively. Multivariate analysis showed that HBV DNA (OR, 2.8, p = 0.003), ALT (OR, 2.6, p = 0.005) at baseline, undetectable HBV DNA within 24 weeks (OR = 3.2, p < 0.001), and body mass index (BMI) ≥24kg/m(2) (OR = 0.038, p = 0.013) were associated with HBeAg seroconversion. A prediction model for probability of HBeAg seroconversion was constructed. Patients can be classified into high (>40 %), intermediate (20–40 %), or low (≤20 %) groups based on the calculated probability of HBeAg seroconversion. The cumulative rates of HBeAg seroconversion were different among the three groups (p < 0.001). About 58 % patients in the high probability group achieved HBeAg seroconversion while almost 90 % patients within the low group remained HBeAg positive. CONCLUSION: A combination of HBV DNA, ALT and BMI values at baseline, and undetectable HBV DNA level within 24 weeks can predict HBeAg seroconversion. Both viral and metabolic factors likely determine HBeAg status with ETV treatment. TRIAL REGISTRATION: CTR20132358 BioMed Central 2015-11-02 /pmc/articles/PMC4630878/ /pubmed/26527281 http://dx.doi.org/10.1186/s12985-015-0409-y Text en © Liu et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Liu, Fen
Zou, Feng
Wang, Xiwei
Hu, Huaidong
Hu, Peng
Ren, Hong
A model with combined viral and metabolic factors effectively predicts HBeAg status under long term entecavir therapy: a prospective cohort study
title A model with combined viral and metabolic factors effectively predicts HBeAg status under long term entecavir therapy: a prospective cohort study
title_full A model with combined viral and metabolic factors effectively predicts HBeAg status under long term entecavir therapy: a prospective cohort study
title_fullStr A model with combined viral and metabolic factors effectively predicts HBeAg status under long term entecavir therapy: a prospective cohort study
title_full_unstemmed A model with combined viral and metabolic factors effectively predicts HBeAg status under long term entecavir therapy: a prospective cohort study
title_short A model with combined viral and metabolic factors effectively predicts HBeAg status under long term entecavir therapy: a prospective cohort study
title_sort model with combined viral and metabolic factors effectively predicts hbeag status under long term entecavir therapy: a prospective cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4630878/
https://www.ncbi.nlm.nih.gov/pubmed/26527281
http://dx.doi.org/10.1186/s12985-015-0409-y
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