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Improved understanding of natural history of hepatitis C virus (HCV) RNA levels in chronic infection provides enhanced insights into immunopathogenesis of HCV and has implications for the clinical management of chronic HCV infection. This study assessed factors associated with HCV RNA levels during early chronic infection in a population with well-defined early chronic HCV infection. Data were from an international collaboration of nine prospective cohorts studying acute HCV infection (InC3 study). Individuals with persistent HCV and detectable HCV RNA during early chronic infection (one year [±4 months] postinfection) were included. Distribution of HCV RNA levels during early chronic infection was compared by selected host and virological factors. A total of 308 individuals were included. Median HCV RNA levels were significantly higher among males ( vs females; 5.15 vs 4.74 log IU/mL; P < 0.01) and among individuals with HIV co-infection ( vs no HIV; 5.89 vs 4.86; P = 0.02). In adjusted logistic regression, male sex ( vs female, adjusted odds ratio [AOR]: 1.93; 95%CI: 1.01, 3.69), interferon lambda 4 ( IFNL4) rs12979860 CC genotype ( vs TT/CT; AOR: 2.48; 95%CI: 1.42, 4.35), HIV co-infection ( vs no HIV; AOR: 3.27; 95%CI: 1.35, 7.93) and HCV genotype G2 ( vs G3; AOR: 5.40; 95%CI: 1.63, 17.84) were independently associated with high HCV RNA levels (>5.6 log IU/mL = 400 000 IU/mL). In conclusion, this study demonstrated that IFNL4 rs12979860 CC genotype, male sex, HIV co-infection and HCV genotype G2 are associated with high HCV RNA levels in early chronic infection. These factors exert their role as early as one year following infection. [ABSTRACT FROM AUTHOR]

In 2020, the Australian state of Victoria experienced the longest COVID-19 lockdowns of any jurisdiction, with two lockdowns starting in March and July, respectively. Lockdowns may impact progress towards eliminating hepatitis C through reductions in hepatitis C testing. To examine the impact of lockdowns on hepatitis C testing in Victoria, de-identified data were extracted from a network of 11 services that specialize in the care of people who inject drugs (PWID). Interrupted time-series analyses estimated weekly changes in hepatitis C antibody and RNA testing from 1 January 2019 to 14 May 2021 and described temporal changes in testing associated with lockdowns. Interruptions were defined at the weeks corresponding to the start of the first lockdown (week 14) and the start (week 80) and end (week 95) of the second lockdown. Pre-COVID, an average of 80.6 antibody and 25.7 RNA tests were performed each week. Following the first lockdown in Victoria, there was an immediate drop of 23.2 antibody tests and 8.6 RNA tests per week (equivalent to a 31% and 46% drop, respectively). Following the second lockdown, there was an immediate drop of 17.2 antibody tests and 4.6 RNA tests per week (equivalent to a 26% and 33% drop, respectively). With testing and case finding identified as a key challenge to Australia achieving hepatitis C elimination targets, the cumulative number of testing opportunities missed during lockdowns may prolong efforts to find, diagnose and engage or reengage in care of the remaining population of PWID living with hepatitis C., (© 2022 The Authors. Journal of Viral Hepatitis published by John Wiley & Sons Ltd.)

Transmission of Hepatitis C (HCV) continues via sharing of injection equipment between people who inject drugs (PWID). Network-based modelling studies have produced conflicting results about whether random treatment is preferable to targeting treatment at PWID with multiple partners. We hypothesise that differences in the modelled injecting network structure produce this heterogeneity. The study aimed to test how changing network structure affects HCV transmission and treatment effects. We created three dynamic injecting network structures connecting 689 PWID (UK-net, AUS-net and USA-net) based on published empirical data. We modelled HCV in the networks and at 5 years compared prevalence of HCV 1) with no treatment, 2) with randomly targeted treatment and 3) with treatment targeted at PWID with the most injecting partnerships (degree-based treatment). HCV prevalence at 5 years without treatment differed significantly between the three networks (UK-net (42.8%) vs. AUS-net (38.2%), p < 0.0001 and vs. USA-net (54.0%), p < 0.0001). In the treatment scenarios UK-net and AUS-net showed a benefit of degree-based treatment with a 5-year prevalence of 1.0% vs. 9.6% p < 0.0001 and 0.15% vs. 0.44%, p < 0.0001. USA-net showed no significant difference (29.3% vs. 29.2%, p = 0.0681). Degree-based treatment was optimised with low prevalence, moderate treatment coverage conditions whereas random treatment was optimised in low treatment coverage, high prevalence conditions. In conclusion, injecting network structure determines the transmission rate of HCV and the most efficient treatment strategy. In real-world injecting network structures, the benefit of targeting HCV treatment at individuals with multiple injecting partnerships may have been underestimated., (© 2021 The Authors. Journal of Viral Hepatitis published by John Wiley & Sons Ltd.)

An increasing number of countries are committing to meet the World Health Organization (WHO) targets to eliminate hepatitis C virus (HCV) as a public health threat by 2030. These include service coverage targets (90% diagnosed and 80% of diagnosed patients treated) and impact targets (80% and 65% reductions in incidence and mortality, respectively, compared to 2015 levels). Currently, a dozen countries are on track to reach 2030 WHO HCV targets. However, while striving for the WHO targets is important, it should be recognized that progress on impact targets is derived from mathematical models projecting decreases in incidence and mortality on a global scale. Despite HCV treatment access in many counties for a number of years, limited empirical data are available to evaluate progress towards elimination. In some countries, substantial incidence and mortality reductions based on reaching the WHO service coverage targets may be unachievable. For example, in countries with ageing hepatitis C-infected populations, even if they have a quality hepatitis C response, high hepatitis C-related morbidity at baseline may not be reversible even with increased HCV treatment uptake and diagnosis. Finally, WHO targets are not necessarily easily or reliably measurable. Measuring relative impact targets requires high-quality data at baseline (ie 2015) and longitudinal data to assess temporal trends. In this commentary, we propose alternative additional measures to track progress on reducing the HCV burden, offer examples where the WHO targets may not be informative or achievable, and potential practical solutions., (© 2020 John Wiley & Sons Ltd.)

Modelling suggests that more frequent screening of people who inject drugs (PWID) and an improved care cascade are required to achieve the WHO hepatitis C virus (HCV) elimination target of an 80% reduction in incidence by 2030. We determined the testing frequencies (2-yearly, annually, 6-monthly and 3-monthly) and retention in care required among PWID to achieve the HCV incidence reduction target through treatment as prevention in low (25%), medium (50%) and high (75%) chronic HCV prevalence settings. Mathematical modelling of HCV transmission among PWID, capturing testing, treatment and other features of the care cascade were employed. In low-prevalence settings, 2-yearly antibody testing of PWID was estimated to reach the elimination target by 2027-2030 depending on retention in care, with annual testing reducing the time by up to 3 years. In medium-prevalence settings, if close to 90% testing coverage were achieved, then annual antibody testing of PWID would be sufficient. If testing coverage were lower (80%), 6-monthly antibody testing with at least 70% retention in care or annual HCV RNA/cAg testing would be required. In high-prevalence settings, even 3-monthly HCV RNA/cAg testing of PWID was unable to achieve the incidence reduction target. Thus, for geographical areas or subpopulations with high prevalence, WHO incidence targets are unlikely to be met without 3-monthly RNA/cAg testing accompanied by other prevention measures. Novel testing strategies, such as rapid point-of-care antibody testing or replacing antibody testing with RNA/cAg tests as a screening tool, can provide additional population-level impacts to compensate for imperfect follow-up or testing coverage., (© 2018 John Wiley & Sons Ltd.)