Utility of On-Treatment Viral Loads During Treatment With Direct-Acting Antivirals in Patients Infected With Chronic

Shila Mortazavi1, Lauren M Hynicka1

  • 1Department of Pharmacy Practice and Science, University of Maryland School of Pharmacy, Baltimore, MD, USA.

Insights

On-treatment viral load monitoring may not predict hepatitis C virus (HCV) cure in patients receiving direct-acting antiviral (DAA) therapy. High sustained virologic response rates were observed in both HCV-monoinfected and HIV-coinfected individuals.

Area of Science:

  • Hepatology
  • Infectious Diseases
  • Virology

Background:

  • Direct-acting antiviral (DAA) agents have transformed hepatitis C virus (HCV) treatment.
  • The role of on-treatment HCV viral load (VL) monitoring remains debated, especially in patients coinfected with HIV.
  • Limited real-world data exist on the predictive value of on-treatment VL in this population.

Purpose of the Study:

  • To assess the utility of on-treatment HCV viral load monitoring in predicting treatment cure.
  • To evaluate the effectiveness of DAAs in a real-world cohort, including HIV-coinfected patients.

Main Methods:

  • Retrospective, single-center cohort study of 219 patients treated with DAAs for HCV.
  • Analysis included patient demographics, HCV genotype, HIV coinfection status, treatment regimens, and on-treatment VL measurements.
  • Sustained virologic response (SVR) was the primary outcome measure.

Main Results:

  • The study population (average age 56) was predominantly male, African American, and treatment-naive, with 22.4% coinfected with HIV.
  • The most common regimen was 12 weeks of ledipasvir/sofosbuvir; on-treatment VLs were often detectable at week 4.
  • Overall SVR was high (96.8%), with similar rates in HCV-monoinfected (96.8%) and HCV-HIV-coinfected (95.9%) patients.

Conclusions:

  • High SVR rates achieved with DAAs are comparable between HCV-monoinfected and HCV-HIV-coinfected individuals.
  • On-treatment viral load monitoring may not be a reliable indicator of treatment failure.
  • Monitoring may aid patient engagement, adherence, and ultimately treatment success.