First phase viral kinetic parameters and prediction of response to interferon alpha-2b/ribavirin combination therapy in patients with chronic hepatitis C
| Autor: | Kohichiroh Yasui, Kohjiroh Mori, Mika Okita, Takeshi Okanoue, Junko Yamaoka, Mika Nakayama, Yoshito Itoh, Akiko Makiyama, Tomoki Nakajima, Masahito Minami |
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| Rok vydání: | 2006 |
| Předmět: |
medicine.medical_specialty
Hepatology Combination therapy business.industry Ribavirin virus diseases Alpha interferon Gastroenterology digestive system diseases chemistry.chemical_compound Infectious Diseases chemistry Chronic hepatitis Interferon Internal medicine Immunology Genotype Early prediction medicine In patient business medicine.drug |
| Zdroj: | Hepatology Research. 36:94-99 |
| ISSN: | 1386-6346 |
| DOI: | 10.1016/j.hepres.2006.07.001 |
| Popis: | The aim of the present study was to assess parameters in early phase HCV dynamics for predicting the outcome of interferon (IFN)/ribavirin combination therapy in patients with chronic hepatitis C (CH-C). Sixty-five CH-C patients who received IFN alpha-2b/ribavirin combination therapy were enrolled. The serum levels of HCV RNA 0 h and 3 months after commencing therapy were serially quantified. HCV kinetic parameters such as quantity, ratio of decline, and half-life were analyzed. In genotype 1 patients, both the quantity and the ratio of decline of HCV RNA 24 h after the start of therapy were useful predictors of a poor response. No patients who had serum HCV RNA above 200 KIU/ml 24 h after the start of therapy achieved a sustained viral response (SVR). In genotype 2 patients, conversely, these two parameters were predictors of a sustained viral response. The efficacy of these parameters in predicting the outcome of therapy was comparable to that of the disappearance of HCV RNA from sera at 4 weeks. These results demonstrate that parameters of HCV kinetics 24 h after the start of therapy are useful for the early prediction of outcome in response to IFN alpha-2b/ribavirin combination therapy. |
| Databáze: | OpenAIRE |
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