Predictive factors for hepatocellular carcinoma in chronic hepatitis B using structural equation modeling: a prospective cohort study.
Epidemiology
Hepatitis B virus
Hepatocarcinogenesis
Hepatocellular carcinoma
Liver cancer
Journal
Clinics and research in hepatology and gastroenterology
ISSN: 2210-741X
Titre abrégé: Clin Res Hepatol Gastroenterol
Pays: France
ID NLM: 101553659
Informations de publication
Date de publication:
09 2021
09 2021
Historique:
received:
09
02
2021
accepted:
11
04
2021
pubmed:
1
5
2021
medline:
26
2
2022
entrez:
30
4
2021
Statut:
ppublish
Résumé
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. 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. 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. 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.
Sections du résumé
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.
Identifiants
pubmed: 33930591
pii: S2210-7401(21)00092-9
doi: 10.1016/j.clinre.2021.101713
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
101713Informations de copyright
Copyright © 2021 Elsevier Masson SAS. All rights reserved.