The University of Southampton
University of Southampton Institutional Repository

Measurement and determinants of the natural history of liver fibrosis in hepatitis C virus infection: a cross sectional and longitudinal study

Measurement and determinants of the natural history of liver fibrosis in hepatitis C virus infection: a cross sectional and longitudinal study
Measurement and determinants of the natural history of liver fibrosis in hepatitis C virus infection: a cross sectional and longitudinal study
Introduction: The rate of development of liver fibrosis in hepatitis C virus (HCV) infection varies between individuals. This accounts for the variation in duration of progression to cirrhosis. The aims of this study were: (1) to determine whether fibrosis progresses linearly through the grading scales and (2) to identify factors which influence the rate of fibrosis.
Methods: HCV infected patients who had undergone at least one liver biopsy were identified. Biopsies were scored using the modified HAI (Ishak) and METAVIR systems, which were compared. Patients were treatment naïve at first biopsy. Demographic features were examined for their relationship to fibrosis rate (defined as fibrosis stage/infection duration) using univariate and multivariate analysis. A subgroup of patients with two biopsies was examined to test the assumption that fibrosis progresses in a linear fashion.
Results: A total of 917 patients were included. Male sex (p<0.00001), older age at infection (p<=0.00001), and viral genotype non-1 (p=0.005) were all associated with a rapid rate of fibrosis. On multiple linear regression they accounted for 29.5% of the variability in fibrosis rate (r2=0.295). METAVIR and Ishak scores were highly correlated (r=0.935, p<0.0001). In 137 patients who had two biopsies, the predicted probability for an increase of 1 on the fibrosis score was too low to assess linearity.
Conclusions: Demographic features account for a minority of fibrosis rate variability. The Ishak and METAVIR scoring systems are equivalent. Linearity of fibrosis progression cannot be assessed in biopsies only a few years apart.
hepatitis C, biopsy, fibrosis, natural history
0017-5749
574-579
Wright, M.
43325ef9-3459-4c75-b3bf-cf8d8dac2a21
Goldin, R.D.
61032798-41c5-4047-8a69-f0cc05c853d5
Fabre, A.
45c70593-8020-40a8-9cf1-2d2128062219
Lloyd, J.
9e93814a-879b-4b3d-9e71-73429412bf69
Thomas, H.C.
3d4c3f13-e9c6-4b08-a529-0e957094b178
Trepo, C.
6a15db21-8a27-4c25-a1a3-05e059cac2ca
Pradat, P.
c8c61228-b9d5-4f3c-ae23-b796a9f3bd8e
Thursz, M.
2c345793-0ae5-4a81-b663-6c47236e2a73
Hencore Collaboration
Wright, M.
43325ef9-3459-4c75-b3bf-cf8d8dac2a21
Goldin, R.D.
61032798-41c5-4047-8a69-f0cc05c853d5
Fabre, A.
45c70593-8020-40a8-9cf1-2d2128062219
Lloyd, J.
9e93814a-879b-4b3d-9e71-73429412bf69
Thomas, H.C.
3d4c3f13-e9c6-4b08-a529-0e957094b178
Trepo, C.
6a15db21-8a27-4c25-a1a3-05e059cac2ca
Pradat, P.
c8c61228-b9d5-4f3c-ae23-b796a9f3bd8e
Thursz, M.
2c345793-0ae5-4a81-b663-6c47236e2a73

Wright, M., Goldin, R.D., Fabre, A., Lloyd, J., Thomas, H.C., Trepo, C., Pradat, P. and Thursz, M. , Hencore Collaboration (2003) Measurement and determinants of the natural history of liver fibrosis in hepatitis C virus infection: a cross sectional and longitudinal study. Gut, 52 (4), 574-579. (doi:10.1136/gut.52.4.574).

Record type: Article

Abstract

Introduction: The rate of development of liver fibrosis in hepatitis C virus (HCV) infection varies between individuals. This accounts for the variation in duration of progression to cirrhosis. The aims of this study were: (1) to determine whether fibrosis progresses linearly through the grading scales and (2) to identify factors which influence the rate of fibrosis.
Methods: HCV infected patients who had undergone at least one liver biopsy were identified. Biopsies were scored using the modified HAI (Ishak) and METAVIR systems, which were compared. Patients were treatment naïve at first biopsy. Demographic features were examined for their relationship to fibrosis rate (defined as fibrosis stage/infection duration) using univariate and multivariate analysis. A subgroup of patients with two biopsies was examined to test the assumption that fibrosis progresses in a linear fashion.
Results: A total of 917 patients were included. Male sex (p<0.00001), older age at infection (p<=0.00001), and viral genotype non-1 (p=0.005) were all associated with a rapid rate of fibrosis. On multiple linear regression they accounted for 29.5% of the variability in fibrosis rate (r2=0.295). METAVIR and Ishak scores were highly correlated (r=0.935, p<0.0001). In 137 patients who had two biopsies, the predicted probability for an increase of 1 on the fibrosis score was too low to assess linearity.
Conclusions: Demographic features account for a minority of fibrosis rate variability. The Ishak and METAVIR scoring systems are equivalent. Linearity of fibrosis progression cannot be assessed in biopsies only a few years apart.

This record has no associated files available for download.

More information

Published date: 2003
Additional Information: Digest
Keywords: hepatitis C, biopsy, fibrosis, natural history

Identifiers

Local EPrints ID: 40698
URI: http://eprints.soton.ac.uk/id/eprint/40698
ISSN: 0017-5749
PURE UUID: f5abd29b-30c4-4f87-b348-cd065b756a6c

Catalogue record

Date deposited: 07 Jul 2006
Last modified: 15 Mar 2024 08:21

Export record

Altmetrics

Contributors

Author: M. Wright
Author: R.D. Goldin
Author: A. Fabre
Author: J. Lloyd
Author: H.C. Thomas
Author: C. Trepo
Author: P. Pradat
Author: M. Thursz
Corporate Author: Hencore Collaboration

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×