Modeling based response guided therapy in subjects with recent hepatitis C infection.

Area of Science:

• Hepatology
• Virology
• Mathematical Biology

Background:

• Mathematical modeling of viral kinetics aids in predicting treatment duration for chronic Hepatitis C Virus (HCV) patients.
• This approach has not been extensively evaluated in individuals with recent HCV infection.

Purpose of the Study:

• To retrospectively assess if mathematical modeling can predict treatment outcomes.
• To evaluate the efficacy of six-week sofosbuvir (SOF) and weight-based ribavirin (R) therapy in recently infected individuals.

Main Methods:

• Mathematical modeling was employed to estimate viral host parameters.
• The study analyzed 12 adults with recent HCV infection (<12 months).
• Participants received six weeks of SOF + R treatment.

Main Results:

• Modeling demonstrated a 100% negative predictive value for SOF + R treatment response in nine participants.
• A median of 13 weeks of therapy was predicted for cure.
• Cure was predicted for two participants who later relapsed.

Conclusions:

• Modeling indicates that over six weeks of SOF + R therapy is necessary for cure in recent HCV infection.
• Prospective, real-time modeling is needed to validate response-guided therapy for recent HCV infection management.