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Gastroenterology ; 141(1): 119-27, 2011 Jul.
Article in English | MEDLINE | ID: mdl-21439960

ABSTRACT

BACKGROUND & AIMS: In patients with chronic hepatitis C who failed to respond to standard therapy, high-dose pegylated interferon (IFN)-α and/or ribavirin could induce a stronger antiviral response and prevent treatment failure and HCV resistance when combined with direct-acting antivirals. The influence of genetic determinants in this context remains unknown. METHODS: Eighty-three patients infected with HCV genotype 1 who were nonresponsive to standard therapy received pegylated IFN-α2a (360 µg once per week or 180 µg twice per week) with ribavirin (1.0-1.2 or 1.2-1.6 g/d) for up to 72 weeks. Virological responses were assessed at different time points, and the influence of the IL-28B genotype was studied. RESULTS: At weeks 12 and 24, respectively, 47 (56.6%) and 50 (60.2%) patients achieved a ≥2-Log10 decrease of HCV RNA levels; 8 (9.6%) and 21 (25.3%) patients had undetectable HCV RNA after 12 and 24 weeks of treatment, respectively. Patients with a CT IL-28B genotype responded significantly better and earlier than those with a TT genotype. In multivariate analysis, the IL-28B genotype was an independent predictor of the virological responses at weeks 4, 12, and 24. CONCLUSIONS: High-dose pegylated IFN-α with standard or high doses of ribavirin induces a potent antiviral response in a substantial number of patients who did not respond to standard therapy. The IL-28B genotype is an independent predictor of the antiviral response. High-dose pegylated IFN-α in combination with ribavirin and protease inhibitors appears as an attractive option for future study in this population.


Subject(s)
Antiviral Agents/administration & dosage , Hepatitis C, Chronic/drug therapy , Interferon-alpha/administration & dosage , Interleukins/genetics , Polyethylene Glycols/administration & dosage , Ribavirin/administration & dosage , Adult , Aged , Antiviral Agents/adverse effects , Chi-Square Distribution , Drug Resistance, Viral/genetics , Drug Therapy, Combination , Female , Genotype , Hepacivirus/genetics , Hepatitis C, Chronic/diagnosis , Hepatitis C, Chronic/immunology , Humans , Interferon alpha-2 , Interferon-alpha/adverse effects , Interferons , Linear Models , Logistic Models , Male , Middle Aged , Odds Ratio , Phenotype , Polyethylene Glycols/adverse effects , RNA, Viral/blood , Recombinant Proteins , Ribavirin/adverse effects , Risk Assessment , Risk Factors , Time Factors , Treatment Outcome , Viral Load
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