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  • Title: Very early viral kinetics on interferon treatment in chronic hepatitis C virus genotype 4 infection.
    Author: Jessner W, Gschwantler M, Formann E, Gurguta C, Watkins-Riedel T, Wrba F, Ferenci P.
    Journal: Antivir Ther; 2008; 13(4):581-9. PubMed ID: 18672537.
    Abstract:
    BACKGROUND: Interferon (IFN)-resistant hepatitis C virus strains limit efficacy of antiviral combination therapy in patients infected with genotypes 1 and 4. A single test dose of IFN was useful to identify non-responders to IFN-alpha2b/ribavirin (RBV) or likely non-responders to pegylated (PEG)-IFN-alpha2a/RBV therapy in genotype 1 patients. Our aim was to investigate this approach in genotype 4 patients. METHODS: Viral load was measured in 46 patients before and 24 h after 10 megaunits (MU) IFN-alpha2b, and before and during 2 weeks of daily 5 MU IFN-alpha2b administration. Thereafter, patients received 48 weeks combination therapy with either 180 microg PEG-IFN-alpha2a/week (n=33), 1.5 microg/kg PEG-IFN-alpha2b/week (n=7) or 5 MU IFN-alpha2b/2 days (n=6), along with 1-1.2g RBV/day. For prediction analysis the largest group (PEG-IFN-alpha2a) was evaluated only. RESULTS: Median 24 h log10 change after 10 MU IFN-alpha2b was 1.15 (range 0.08-2.48) and after 5 MU IFN-alpha2b was 0.81 (-0.12-2.22; P<0.0001). Log10 changes after 2 weeks on 5 MU IFN-alpha2b daily and 24 h after 10 MU were the best predictors of early virological response (defined by negativity of a standard qualitative PCR) to PEG-IFN-alpha2a/RBV combination therapy (area under curve [AUC]=0.97; P<0.001, receiver operating characteristics), 24 h log10 change after 10 MU was the best predictor of sustained virological response (SVR; AUC=0.91, P=0.001). CONCLUSION: As in genotype 1 patients, there is large variation in IFN responsiveness, including the presence of resistant strains, in genotype 4 patients. A 24 h log10 change after 10 MU IFN-alpha2b is an excellent predictor of SVR on PEG-IFNalpha2a/RBV combination therapy. This test may be useful to obtain homogeneous groups for clinical studies and could help in clinical decision making.
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