Literature DB >> 33930591

Predictive factors for hepatocellular carcinoma in chronic hepatitis B using structural equation modeling: a prospective cohort study.

Laurent Lam1, Hélène Fontaine2, Marc Bourliere3, Clovis Lusivika-Nzinga4, Céline Dorival4, Dominique Thabut5, Fabien Zoulim6, François Habersetzer7, Tarik Asselah8, Jean-Charles Duclos-Vallee9, Jean-Pierre Bronowicki10, Philippe Mathurin11, Thomas Decaens12, Nathalie Ganne13, Dominique Guyader14, Vincent Leroy15, Isabelle Rosa16, Victor De Ledinghen17, Paul Cales18, Xavier Causse19, Dominique Larrey20, Olivier Chazouilleres21, Moana Gelu-Simeon22, Véronique Loustaud-Ratti23, Sophie Metivier24, Laurent Alric25, Ghassan Riachi26, Jérôme Gournay27, Anne Minello28, Albert Tran29, Claire Geist30, Armand Abergel31, François Raffi32, Louis D'Alteroche33, Isabelle Portal34, Nathanaël Lapidus1, Stanislas Pol35, Fabrice Carrat36.   

Abstract

BACKGROUND & AIMS: The factors predicting hepatocellular carcinoma (HCC) occurrence in chronic hepatitis B need to be precisely known to improve its detection. We identified pathways and individual predictive factors associated with HCC in the ANRS CO22 HEPATHER cohort.
METHODS: The study analyzed HBV-infected patients recruited at 32 French expert hepatology centers from August 6, 2012, to December 31, 2015. We excluded patients with chronic HCV, HDV and a history of HCC, decompensated cirrhosis or liver transplantation. Structural equation models were developed to characterize the causal pathways leading to HCC occurrence. The association between clinical characteristics (age, gender, body-mass index, liver fibrosis, alcohol consumption, smoking status, diabetes, hypertension, dyslipidemia, alpha-fetoprotein, HBV DNA levels, antiviral therapy) and incident HCC was quantified.
RESULTS: Among the 4489 patients included, 33 patients reported incident HCC. The median follow-up was 45.5 months. Age (β = 0.18 by decade, 95% CI 0.14-0.23), male gender (β = 0.23, 95% CI 0.18-0.29), metabolic syndrome (β = 0.28, 95% CI 0.22-0.33), alcohol consumption (β = 0.09, 95% CI 0.05-0.14) and HBV DNA (β = 0.25, 95% CI 0.170.34) had a significant and direct effect on the occurrence of advanced liver fibrosis. Liver fibrosis (β = 0.71, 95% CI 0.55-0.87) predicted, in turn, the occurrence of HCC.
CONCLUSIONS: Liver fibrosis mediates the effects of age, gender, alcohol, metabolic syndrome and HBV DNA on the occurrence of HCC. Elderly men with chronic hepatitis B, risky alcohol use, advanced liver fibrosis, metabolic syndrome and high HBV DNA levels should be monitored closely to detect the development of HCC.
Copyright © 2021 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Epidemiology; Hepatitis B virus; Hepatocarcinogenesis; Hepatocellular carcinoma; Liver cancer

Mesh:

Year:  2021        PMID: 33930591     DOI: 10.1016/j.clinre.2021.101713

Source DB:  PubMed          Journal:  Clin Res Hepatol Gastroenterol        ISSN: 2210-7401            Impact factor:   2.947


  3 in total

1.  Metabolic Disorders in Patients with Chronic Hepatitis B Virus Infection: Coffee as a Panacea? (ANRS CO22 Hepather Cohort).

Authors:  Tangui Barré; Hélène Fontaine; Stanislas Pol; Clémence Ramier; Vincent Di Beo; Camelia Protopopescu; Fabienne Marcellin; Morgane Bureau; Marc Bourlière; Céline Dorival; Ventzislava Petrov-Sanchez; Tarik Asselah; Elisabeth Delarocque-Astagneau; Dominique Larrey; Jean-Charles Duclos-Vallée; Fabrice Carrat; Patrizia Carrieri
Journal:  Antioxidants (Basel)       Date:  2022-02-14

2.  Evaluation of the Hepatocellular Carcinoma Predictive Scores PAGE-B and mPAGE-B among Brazilian Patients with Chronic Hepatitis B Virus Infection.

Authors:  Ana Caroline Ferreira da Silva; Marlone Cunha-Silva; Tiago Sevá-Pereira; Daniel F Mazo
Journal:  Viruses       Date:  2022-09-05       Impact factor: 5.818

Review 3.  Virus-Driven Carcinogenesis.

Authors:  Yuichiro Hatano; Takayasu Ideta; Akihiro Hirata; Kayoko Hatano; Hiroyuki Tomita; Hideshi Okada; Masahito Shimizu; Takuji Tanaka; Akira Hara
Journal:  Cancers (Basel)       Date:  2021-05-27       Impact factor: 6.639

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.