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Title: Predictors of the efficacy of intravenous natural interferon-beta treatment in chronic hepatitis C. Author: Fukutomi T, Fukutomi M, Iwao M, Watanabe H, Tanabe Y, Hiroshige K, Kinukawa N, Nakamuta M, Nawata H. Journal: Med Sci Monit; 2000; 6(4):692-8. PubMed ID: 11208393. Abstract: INTRODUCTION: Several pretreatment factors have been reported to be useful in predicting patients with a high probability for a sustained response to IFN-alpha treatment, however, predictors of the efficacy of interferon-beta treatment in chronic hepatitis C have not been fully assessed. MATERIAL AND METHODS: To clarify this issue, a prospective study of 52 patients with chronic hepatitis C was conducted. Patients were treated with human natural interferon-beta by drip infusion at doses of 6 MU/day for 8 weeks. The following characteristics were compared between patients with sustained response (SR) and no response (NR): gender, age, source of HCV infection, mean pretreatment serum ALT levels, liver histology, pretreatment serum HCV-RNA levels and HCV genotype. RESULTS: Seventeen of 52 patients (32.7%) demonstrated SR. The proportion of patients with undetectable HCV-RNA levels determined by branched DNA assay (< 0.5 x 10(6) eq/ml) was higher in patients with SR than in those with NR (88.2% vs. 22.9%; p = 0.0001). Pretreatment HCV RNA levels determined by multicyclic reverse transcriptase polymerase chain reaction were lower in patients with SR than in those with NR (10(5.1 +/- 1.5) vs. 10(7.1 +/- 1.3) copies/ml; p = 0.0001). The rate of SR was higher in patients with genotype 2a or 2b than in genotype 1b (43.8% vs. 15.0%; p = 0.0382). Multivariate stepwise logistic regression analysis showed that a younger age and low pretreatment serum levels of HCV RNA were independent predictors of SR to treatment. This prospective study demonstrated that a younger age, low pretreatment viral load and HCV genotype 2a or 2b were factors influencing the SR to interferon-beta treatment, but a younger age and low pretreatment viral load were most important predictors of the efficacy of the treatment.[Abstract] [Full Text] [Related] [New Search]