Parameters predicting response to alpha-interferon treatment in chronic hepatitis C

Gluck, T and Seelig, R and Dette, S and Buhring, HJ and Renz, M and Kwon, S and Wiedmann, KH and Weber, P (1997) Parameters predicting response to alpha-interferon treatment in chronic hepatitis C. HEPATO-GASTROENTEROLOGY, 44 (14). pp. 484-491. ISSN 0172-6390,

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Abstract

Background/Aims: Sustained response to alpha-interferon treatment for chronic hepatitis C is seen in only 25% of cases. Therefore, it is desirable to define pretreatment factors predicting responders. Materials and methods: Forty-nine patients with chronic hepatitis C were treated with a standard alpha-interferon. regimen. (3 x 3 MU s.c./week). Demographic, biochemical and immunological parameters, and HCV genotypes were obtained prior to initiation. of treatment and evaluated for their value in. predicting response to alpha-interferon, therapy. Results: Response, as defined by normalization of ALT, was 71% during interferon therapy and sustained response after discontinuation of interferon 24.5%. Patients infected with HCV-genotype Ib had significantly more often ''community-acquired'' disease. Their outcome was worse with a response rate of 44% during therapy and a sustained response of 12.5%, as compared to 87% and 27% respectively in patients infected with genotypes other than Ib. On, multivariate analysis, absence of cirrhosis, HCV-genotype other than. Ib, higher ALT levels and higher numbers of CD8 positive liver infiltrates were found to be predictors of response during alpha-interferon. therapy. Conclusion: Response to alpha-interferon therapy seems to be influenced both by viral virulence factors and by the intensity of the host immune response to HCV.

Item Type: Article
Uncontrolled Keywords: POLYMERASE CHAIN-REACTION; CONTROLLED TRIAL; VIRUS GENOTYPES; NON-A; THERAPY; ANTIGENS; ALFA; RNA; INFECTION; HLA-A,B,C; chronic hepatitis C; hepatitis C virus (HCV); hepatitis C virus genotypes; alpha-interferon; predictive factors; response
Depositing User: Dr. Gernot Deinzer
Last Modified: 19 Oct 2022 08:32
URI: https://pred.uni-regensburg.de/id/eprint/50996

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