The economic argument for hepatitis B treatment simplification and expansion.

One component of decisions regarding hepatitis B virus (HBV) treatment simplification and expansion is the economic perspective. Literature was reviewed for studies which provide estimates for the economic impact of simplifying and expanding treatment eligibility. Eight published studies and four unpublished studies were included and all but one subset of one study found that expanding treatment criteria would result in programs that would be at minimum cost-effective and most often highly cost-effective.

Cost-effectiveness of treating all hepatitis B-positive individuals in the United States.

Chronic hepatitis B virus (HBV) infection is a leading cause of liver disease and related mortality globally. However, most of the infected individuals in the United States remain undiagnosed and untreated. There is a need to understand more completely the economic and disease burden impact of removing treatment restrictions and increasing diagnosis and treatment. The PRoGReSs model, a dynamic HBV model that tracks the infected population by year, disease stage, and gender, was used to quantify the disease and economic burden of chronic HBV infection in the United States from 2020 to 2050 based on four scenarios: a status quo (base) scenario and three treat-all scenarios, in which screening, diagnosis, and treatment were maximized at different annual treatment price levels of $5382, $2000 and $750. Compared to the base scenario, the treat-all scenarios would avert 71,100 acute and 11,100 chronic incident cases of HBV, and 169,000 liver-related deaths from 2020 to 2050. At an annual treatment cost of $2000, treating all HBV infections would be highly cost-effective, and at $750 would be cost saving and would achieve a positive return on investment before 2050. Maximizing the diagnosed and treated HBV population in the United States would avert a significant number of cases of advanced liver disease and related mortality. Such interventions can also be cost-effective compared to the status quo strategy, and cost saving at a treatment price threshold of $750 annually, above the current lowest annual treatment cost of $362.

Cost-effectiveness modelling of birth and infant dose vaccination against hepatitis B virus in Ontario from 2020 to 2050.

BACKGROUND: The World Health Organization recommends universal birth dose vaccination for hepatitis B virus (HBV), yet only 3 provinces and territories in Canada provide birth dose vaccination, and Canadian-born children in Ontario are acquiring HBV before adolescent vaccination. We sought to determine whether birth and/or infant HBV vaccination is cost-effective. METHODS: We used a dynamic HBV model that incorporates population by year, disease stage, sex and the influence of immigration to quantify the disease and economic burden of chronic HBV infection in Ontario from 2020 to 2050. We compared 4 vaccination scenarios, which included a birth dose vaccine and variations of the 2 subsequent doses (either alone or as a part of the hexavalent vaccine) and a hexavalent-only strategy in infancy with the current adolescent vaccination strategy. Our costing estimates were based on values from 2020. RESULTS: All 4 infant vaccination approaches prevented an additional 550-560 acute and 160 chronic pediatric HBV infections from 2020 to 2050 compared with adolescent vaccination. Whereas birth dose could be cost-effective, incorporating vaccination into a hexavalent vaccine was cost saving. By 2050, the hexavalent approach led to $428 000 in cost savings per disability-adjusted life years averted. INTERPRETATION: At the current prevalence in Ontario, a switch to birth dose or infant dose will be cost-effective or even cost saving. Introducing any form of infant HBV immunization in Ontario will prevent acute and chronic pediatric HBV infections.

Impact of expanding hepatitis B treatment guidelines: A modelling and economic impact analysis.

BACKGROUND: Antiviral treatment in patients with chronic hepatitis B (CHB) may decrease the risk of hepatocellular carcinoma (HCC) and death. However, only 2.2% of CHB patients receive antiviral treatment globally. The complexity and strictness of the current clinical practice guidelines may limit expanding the treatment coverage for CHB. AIMS: To examine the impact of expanding treatment criteria on future disease burden in Korea, a hepatitis B virus (HBV) endemic country with high diagnostic rates. MATERIALS: Dynamic country-level data were used to estimate the HCC incidence, overall mortality and economic impact of three incremental scenarios compared to the base case in Korea through 2035. RESULTS: In 2020, 1,409,000 CHB cases were estimated, with the majority born before 1995. All scenarios assumed treating 70% of eligible individuals. The first scenario removed viral load restrictions in cirrhotic patients, which would avert 13,000 cases of HCC and save 11,800 lives. The second scenario, lowering the alanine aminotransferase (ALT) level restriction to the upper limit of the normal in non-cirrhotic patients, would avert 26,700 cases of HCC and save 23,300 lives. The last scenario removed the restriction by ALT and HBeAg in treating non-cirrhotic individuals with a viral load of ≥2000 IU/ml, which would avert 43,300 cases of HCC and save 37,000 lives. All scenarios were highly cost-effective. CONCLUSIONS: Simplifying and expanding treatment eligibility for CHB would save many lives and be highly cost-effective when combined with high diagnostic rates. These dynamic country-level data may provide new insights for their global application.

Estimating the health impact of vaccination against ten pathogens in 98 low-income and middle-income countries from 2000 to 2030: a modelling study.

BACKGROUND: The past two decades have seen expansion of childhood vaccination programmes in low-income and middle-income countries (LMICs). We quantify the health impact of these programmes by estimating the deaths and disability-adjusted life-years (DALYs) averted by vaccination against ten pathogens in 98 LMICs between 2000 and 2030. METHODS: 16 independent research groups provided model-based disease burden estimates under a range of vaccination coverage scenarios for ten pathogens: hepatitis B virus, Haemophilus influenzae type B, human papillomavirus, Japanese encephalitis, measles, Neisseria meningitidis serogroup A, Streptococcus pneumoniae, rotavirus, rubella, and yellow fever. Using standardised demographic data and vaccine coverage, the impact of vaccination programmes was determined by comparing model estimates from a no-vaccination counterfactual scenario with those from a reported and projected vaccination scenario. We present deaths and DALYs averted between 2000 and 2030 by calendar year and by annual birth cohort. FINDINGS: We estimate that vaccination of the ten selected pathogens will have averted 69 million (95% credible interval 52-88) deaths between 2000 and 2030, of which 37 million (30-48) were averted between 2000 and 2019. From 2000 to 2019, this represents a 45% (36-58) reduction in deaths compared with the counterfactual scenario of no vaccination. Most of this impact is concentrated in a reduction in mortality among children younger than 5 years (57% reduction [52-66]), most notably from measles. Over the lifetime of birth cohorts born between 2000 and 2030, we predict that 120 million (93-150) deaths will be averted by vaccination, of which 58 million (39-76) are due to measles vaccination and 38 million (25-52) are due to hepatitis B vaccination. We estimate that increases in vaccine coverage and introductions of additional vaccines will result in a 72% (59-81) reduction in lifetime mortality in the 2019 birth cohort. INTERPRETATION: Increases in vaccine coverage and the introduction of new vaccines into LMICs have had a major impact in reducing mortality. These public health gains are predicted to increase in coming decades if progress in increasing coverage is sustained. FUNDING: Gavi, the Vaccine Alliance and the Bill & Melinda Gates Foundation.

Global prevalence of hepatitis C virus in women of childbearing age in 2019: a modelling study.

BACKGROUND: Treatment for infection with hepatitis C virus (HCV) during pregnancy has not yet been approved; however, interventions specifically targeting women, especially those of childbearing age (15-49 years), could prevent vertical transmission and community spread. To assess the impact of such interventions, improved prevalence estimates in this group are needed. We aimed to estimate the global prevalence of viraemic HCV in 2019 among women of childbearing age. METHODS: In this modelling study, we used previously developed models for 110 countries inputted with country-specific demographic and HCV epidemiology data. We did a literature review, searching PubMed, Embase, and grey literature for studies published between Jan 1, 2000, and June 30, 2018, reporting HCV antibody or viraemic prevalence in women of childbearing age. Studies from the literature review and studies in models were compared by use of a data quality scoring system and models were updated, as appropriate, when a better study was identified. We used these HCV disease burden models to calculate the 2019 prevalence of viraemic HCV in women of childbearing age. In countries without a model, prevalence was extrapolated by Global Burden of Disease (GBD) region. FINDINGS: An estimated 14 860 000 (95% uncertainty interval [UI] 9 667 000-18 282 000) women aged 15-49 years had HCV infection worldwide in 2019, corresponding to a viraemic prevalence of 0·78% (95% UI 0·62-0·86). Globally, HCV prevalence increased with age, rising from 0·25% (95% UI 0·20-0·27) in women aged 15-19 years to 1·21% (0·97-1·34) in women aged 45-49 years. China (16% of total infections) and Pakistan (15%) had the greatest numbers of viraemic infections, but viraemic prevalence was highest in Mongolia (5·14%, 95% CI 3·46-6·28) and Burundi (4·91%, 3·80-18·75). Of the countries with 500 cases or more, viraemic prevalence was lowest in Chile (0·07%, 95% UI 0·04-0·12). Among the GBD regions, eastern Europe had the highest viraemic prevalence (3·39%, 95% UI 1·88-3·54). By WHO region, the Eastern Mediterranean region had the highest viraemic prevalence (1·75%, 95% UI 1·26- 1·90). INTERPRETATION: Most research on HCV disease burden among women aged 15-49 years focuses on pregnant women. Using modelling, this analysis provides global and national estimates of HCV prevalence in all women of childbearing age. These data can inform preconception test-and-treat strategies to reduce vertical transmission and total disease burden. FUNDING: Gilead Sciences, John C Martin Foundation, private donors.

Impact of COVID-19 on global HCV elimination efforts.

BACKGROUND & AIMS: Coronavirus disease 2019 (COVID-19) has placed a significant strain on national healthcare systems at a critical moment in the context of hepatitis elimination. Mathematical models can be used to evaluate the possible impact of programmatic delays on hepatitis disease burden. The objective of this analysis was to evaluate the incremental change in HCV liver-related deaths and liver cancer, following a 3-month, 6-month, or 1-year hiatus in hepatitis elimination programs. METHODS: Previously developed models were adapted for 110 countries to include a status quo or 'no delay' scenario and a '1-year delay' scenario assuming significant disruption in interventions (screening, diagnosis, and treatment) in the year 2020. Annual country-level model outcomes were extracted, and weighted averages were used to calculate regional (WHO and World Bank Income Group) and global estimates from 2020 to 2030. The incremental annual change in outcomes was calculated by subtracting the 'no-delay' estimates from the '1-year delay' estimates. RESULTS: The '1-year delay' scenario resulted in 44,800 (95% uncertainty interval [UI]: 43,800-49,300) excess hepatocellular carcinoma cases and 72,300 (95% UI: 70,600-79,400) excess liver-related deaths, relative to the 'no-delay' scenario globally, from 2020 to 2030. Most missed treatments would be in lower-middle income countries, whereas most excess hepatocellular carcinoma and liver-related deaths would be among high-income countries. CONCLUSIONS: The impact of COVID-19 extends beyond the direct morbidity and mortality associated with exposure and infection. To mitigate the impact on viral hepatitis programming and reduce excess mortality from delayed treatment, policy makers should prioritize hepatitis programs as soon as it becomes safe to do so. LAY SUMMARY: COVID-19 has resulted in many hepatitis elimination programs slowing or stopping altogether. A 1-year delay in hepatitis diagnosis and treatment could result in an additional 44,800 liver cancers and 72,300 deaths from HCV globally by 2030. Countries have committed to hepatitis elimination by 2030, so attention should shift back to hepatitis programming as soon as it becomes appropriate to do so.

A tool to measure the economic impact of Hepatitis B elimination: A case study in Saudi Arabia.

BACKGROUND: No virologic cure exists for hepatitis B virus (HBV) infection, and existing therapies are designed to control viral replication. We aimed to estimate the national prevalence of HBsAg in 2017 and study the impact of an enhanced diagnosis rate and universal treatment administration on HBV-related outcomes in Saudi Arabia. MATERIALS AND METHODS: A dynamic transmission and disease burden model was developed to estimate the future economic burden of HBV infection. The infected population was tracked by age and gender-defined cohorts; direct costs (healthcare, screening, diagnostics and treatment) and indirect costs (disability-adjusted life years and the value of a statistical life year) were calculated. The impact of two intervention scenarios (Achieve WHO Targets: diagnose 90% of infections and treat 80% of high viral load patients by 2030; and Diagnose and Treat All: diagnose and treat all infected patients by 2022) were compared against the Base Case scenario (no policy action), with near-universal vaccination coverage rates held constant. A sensitivity analysis of future treatment cost was also conducted. RESULTS: In 2017, HBsAg prevalence was estimated at 1.7%, corresponding to 574,000 infections. The same year, there was an estimated incidence of 490 cases of decompensated cirrhosis, 1500 cases of hepatocellular carcinoma (HCC) and 1740 liver-related deaths (LRD). HBsAg prevalence was 0.1% among 5-year-olds and <0.1% among infants. Disease burden outcomes by 2030, as compared with 2015, were as follows - Base Case: LRDs and HCC incidence were projected to increase by 70%. WHO Targets: A 30-35% decline in both HCC incidence and LRDs. Diagnose and Treat All: A 50-55% decline in HCC incidence and LRDs. In all scenarios, HBsAg prevalence among infants and 5-year-olds declined to <0.1% with the Diagnose and Treat all scenario resulting in a prevalence approaching zero in this age group. Annual direct costs are projected to increase and peak by 2022 in both intervention scenarios due to expansion of treatment and diagnostics. However, these are offset by the reduction of indirect economic costs, starting immediately in the WHO Targets scenario and by 2023 in the strategy to diagnose and treat all. Achieving WHO Targets is estimated to achieve a positive return on investment (ROI) by 2021 when examining direct costs and indirect economic losses at a treatment price of $2700 USD per patient yearly. Diagnosing and treating all patients, however, would require at least a 50% reduction in the unit cost of treatment to achieve a positive ROI by 2029. CONCLUSIONS: Increased diagnosis and treatment rates of HBV would lead to substantial declines in HCC and LRD. This effect would be dramatically enhanced by administering treatment to all HBV cases regardless of viral load and estimated to be highly cost-effective if treatment prices can be substantially reduced.

Global prevalence of hepatitis C virus in children in 2018: a modelling study.

BACKGROUND: Hepatitis C virus (HCV) prevalence estimates for adults and high-risk groups have been widely published, but the disease burden in children is poorly understood. Direct-acting antiviral drugs, which are considered to be highly effective curative therapies for HCV, are now approved for paediatric patients as young as 3 years. Reliable prevalence estimates for this population are needed to inform scale-up of treatment and national strategies. This analysis combines past modelling and epidemiological work in 104 countries and territories to estimate global HCV prevalence in children in 2018. METHODS: In this modelling study, a comprehensive literature review for articles published between Jan 1, 2000, and March 31, 2019, was used to determine historical HCV prevalence estimates in children in all 249 countries and territories of the world. We identified published HCV prevalence estimates for children aged 0-18 years who are not at high risk of HCV infection in 39 countries and territories and inputted them into dynamic Markov disease-burden models to estimate viraemic HCV prevalence in 2018. For 25 of them, which had complete data, available information on HCV prevalence in children was used to build regression models to predict paediatric prevalence in an additional 65 countries and territories that had country-specific or territory-specific data about predictors only. Regression models were created for each 5-year paediatric age cohort from 0 to 19 years, considering several predictor variables. The data and forecasts from the 104 countries and territories for which data were available were used to calculate HCV prevalence by Global Burden of Disease region, which was then applied to the remaining 145 countries and territories to generate a global estimate. FINDINGS: The global estimate for viraemic prevalence in the paediatric population aged 0-18 years was 0·13% (95% uncertainty interval 0·08-0·16), corresponding to 3·26 million (2·07-3·90) children with HCV in 2018. HCV prevalence increased with age in all countries and territories. HCV prevalence in women of childbearing age was the strongest predictor of HCV prevalence in children aged 0-4 years (p<0·0001). Prevalence of HCV in adults was significantly associated with HCV prevalence in children aged 5-19 years (p<0·0001), and the proportion of HCV infections in people who inject drugs was significantly associated with HCV prevalence in children aged 15-19 years (p=0·036). INTERPRETATION: Most studies on HCV prevalence in children focus on high-risk groups and highly endemic geographic areas. Our analysis provides global prevalence estimates of HCV in the paediatric population. Treatment in paediatric patients requires different clinical and population health management optimisation than in adults. Because of this heterogeneity, country-specific or territory-specific and age-specific HCV prevalence estimates can help countries and territories to improve national HCV elimination strategies. FUNDING: Gilead Sciences, John C Martin Foundation, and private donors.

Chronic hepatitis C in the Czech Republic: Forecasting the disease burden.

OBJECTIVE: Chronic HCV infection is associated with cirrhosis of the liver, hepatocellular carcinoma (HCC), and liver transplantation. HCV disease burden and the impact of new potent direct acting antivirals (DAAs) in the Czech Republic are unknown. METHODS: Using a modelling framework, HCV disease progression in the Czech Republic was predicted to 2030 under the current standard of care treatment structure. In addition, two strategies to reduce the future burden of HCV infection were modelled: an incremental increase in treatment annually and WHO targets. RESULTS: The number of viremic infected individuals in the Czech Republic is estimated to peak in 2026 (n = 55,130) and to decline by 0.5% by 2030 (n = 54,840). The number of individuals with compensated cirrhosis (n = 1,400), decompensated cirrhosis (n = 80), HCC (n = 70), and liver-related deaths (n = 60) is estimated to more than double by 2030. Through aggressive increases in diagnosis and treatment, HCV related mortality may decrease by 70% by 2030. CONCLUSIONS: Disease burden associated with chronic HCV infection is projected to peak in the Czech Republic in 30-40 years. Assuming that the current portion of DAAs used remains constant, a significant reduction in HCV disease burden is possible through increased diagnosis and treatment through 2030. This analysis provides evidence in order to facilitate the development of national strategies for HCV care and management in the Czech Republic.