Hepatitis C Treatment in 2016: Reasons to Be an OPTIMIST

No longer 'written off' - times have changed for the BBV-infected dental professional

There is a recognised potential risk of transmission of blood-borne viruses (BBVs) from infected healthcare workers to patients during exposure prone procedures (EPPs). The restrictions placed on performance of EPPs by infected clinicians in the UK have had a particularly significant impact on dentists because of the exposure-prone nature of most dental procedures and the difficulties in identifying alternative career pathways in the profession that do not involve EPPs. More recently, the significant positive impact of antiviral drugs on viral load, together with a re-categorisation of EPPs in dentistry have resulted in evolution of the guidance with a consequent significant improvement to the career prospects of dentists infected with BBVs. This paper provides an update for practitioners on the progress that has been made and outlines the current position with respect to practice restrictions.

The Challenge of Treating Children With Hepatitis C Virus Infection

The development of oral hepatitis C virus (HCV) direct-acting antivirals (DAAs) has revolutionized the therapeutic field. Nowadays, multiple safe and highly effective antiviral regimens are commercially available to treat adults with hepatitis C infection. These new regimens for the first time genuinely raise the prospects of eradicating HCV. Many challenges, however, remain from identifying infected individuals to optimizing treatment and ensuring global access to antiviral therapy to all population groups, including children. Recently, in April 2017, the association of sofosbuvir with ribavirin and the fixed-dose combination sofosbuvir/ledipasvir have been approved by the Food and Drug Administration for treatment of children with chronic HCV infection 12 years of age and older. The only drugs currently approved for children younger than 12 years are pegylated interferon and ribavirin. There are 6 registered ongoing pediatric trials assessing safety and efficacy of DAAs, but their current completion timelines are years away. Herein, we summarize the state of the art of DAAs' development for adult and children and highlight the crucial importance of overcoming barriers to treating children with HCV.

Optimizing Implementation of Hepatitis C Birth-Cohort Screening and Treatment Strategies: Model-Based Projections

Background: Chronic hepatitis C (HCV) is a significant public health problem affecting more than three million Americans. The US health care systems are ramping up costly HCV screening and treatment efforts with limited budget. We determine the optimal implementation of HCV birth-cohort screening and treatment strategies under budget constraints and health care payer's perspective. Methods: Markov model and scenario-based simulation optimization. The target population is birth cohort born between 1945 and 1975. The interventions are allocating annual budget to screen a proportion of the target population and treat a proportion of the identified chronic HCV-positive patients over 10 years. Outcomes measure is to maximize lifetime discounted quality-adjusted life-years. Results: Allocate a percentage of the annual budget to screening, then treat patients with the remaining budget and prioritize the sickest patients. When the budget is $1 billion/year, the best strategy is to allocate the entire budget to treatment. When the budget is $5 billion/year, it is optimal to allocate 60% of the budget to screening in the first 2 years and 0% thereafter for age cohort 40 to 49; and allocate 20% of the budget to screening starting in year 3 for age cohorts 50 to 59 and 60 to 69. Health benefits are sensitive to budget in the first 2 years. Results are not sensitive to distribution of fibrosis stages by awareness of HCV. Conclusion: When budget is limited, all efforts should be focused on early treatment. With higher budget, better population health outcomes are achieved by reserving some budget for HCV screening while implementing a priority-based treatment strategy. This work has broad applicability to diverse health care systems and helps determine how much effort should be devoted to screening versus treatment under resource limitations.