| Literature DB >> 30596701 |
Beat Müllhaupt1, Philip Bruggmann2, Florian Bihl3, Sarah Blach4, Daniel Lavanchy5, Homie Razavi4, Sarah Robbins Scott4, David Semela6, Francesco Negro7.
Abstract
Catalyzed by the concerns over the growing public health and economic burden of Hepatitis C virus (HCV) in Switzerland, a diverse group of experts and patient representatives came together in 2014 to develop the Swiss Hepatitis Strategy, setting targets for the elimination of viral hepatitis in Switzerland by 2030. Previous studies have reported the estimated number of chronic HCV infections and forecasted burden of disease given different intervention strategies. However, given new prevalence data by the Swiss Federal Office of Public Health, which decreased total infections by about half, an updated analysis is warranted. We aimed to provide an updated viremic prevalence estimate for Switzerland and evaluate the impact on forecasted liver related morbidity and mortality of an 'inaction' scenario and intervention scenarios to achieve the Global Health Sector Strategy for Viral Hepatitis and Swiss Hepatitis Strategy goals by 2030. A Markov disease-progression model was used to calculate the present and future burden of HCV infection by disease stage according to these different strategies. In 2017, there were an estimated 36,800 (95% UI: 26,900-39,200) viremic infections in Switzerland. Given the current standard of care, total viremic infections are expected to decline by 45%, while cases of decompensated cirrhosis, hepatocellular carcinoma, and liver-related deaths will decrease by 20%. If treatment and diagnosis efforts were to cease in 2018, late stage HCV-related morbidity and mortality would increase by 90-100% by 2030. Increasing treatment and diagnosis to achieve the Global Health Sector Strategy or Swiss Hepatitis Strategy goals by 2030, will reduce the number of chronic infections to less than 13,000 and 4,000, respectively. Although the HCV epidemic is declining in Switzerland, efforts to expand diagnosis and treatment are needed to achieve elimination by 2030.Entities:
Mesh:
Year: 2018 PMID: 30596701 PMCID: PMC6312389 DOI: 10.1371/journal.pone.0209374
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Annual number diagnosed and initiating treatment, as well as treatment eligibility and SVR under the base, inaction and elimination scenarios, 2016–2025.
| Scenario Input | Scenario | Annual | Cumulative | ||||||
|---|---|---|---|---|---|---|---|---|---|
| 2016 | 2017 | 2018 | 2019 | 2020 | 2022 | ≥2025 | 2018–2030 | ||
| Base | 1,100 | 1,100 | 1,100 | 1,100 | 1,100 | 1,100 | 1,100 | 14,500 | |
| Inaction | 1,100 | 1,100 | - | - | - | - | - | 0 | |
| GHSS | 1,100 | 1,100 | 1,100 | 1,100 | 1,500 | 1,500 | 1,500 | 18,700 | |
| SHS | 1,100 | 1,100 | 1,100 | 1,400 | 1,400 | 1,400 | 1,400 | 17,500 | |
| Base | 2,000 | 3,000 | 2,500 | 2,000 | 1,500 | 1,500 | 1,500 | 21,000 | |
| Inaction | 2,000 | 3,000 | - | - | - | - | - | 0 | |
| GHSS | 2,000 | 3,000 | 3,000 | 3,000 | 3,000 | 2,000 | 2,000 | 30,000 | |
| SHS | 2,000 | 3,000 | 3,000 | 4,400 | 3,300 | 3,300 | 2,900 | 40,300 | |
| All scenarios | ≥ F2 | ≥ F2 | ≥ F0 | ≥ F0 | ≥ F0 | ≥ F0 | ≥ F0 | - | |
| All scenarios | 15+ | 15+ | 15+ | 15+ | 15+ | 15+ | 15+ | - | |
| All scenarios | 95% | 95% | 95% | 95% | 95% | 95% | 95% | - | |
Fig 1Projected outcomes for total viremic infections, liver related deaths, HCC and decompensated cirrhosis under the base, inaction and elimination scenarios, 2016–2030.
Change in viremic infections, decompensated cirrhosis, hepatocellular carcinoma and liver related deaths between 2017–2030.
| Outcome | Scenario | Prevalent Cases | Incident Cases | |||||
|---|---|---|---|---|---|---|---|---|
| 2017 | 2030 | Absolute change | Percent change | 2017 | 2030 | Cases Averted | ||
| Base | 36,800 | 19,800 | -17,000 | -45% | 700 | |||
| Inaction | 36,800 | 37,100 | 300 | 1% | ||||
| GHSS | 36,800 | 12,300 | -24,500 | -65% | ||||
| SHS | 36,800 | 3,600 | -33,200 | -90% | ||||
| Base | 350 | 270 | -80 | -25% | 110 | 90 | - | |
| Inaction | 350 | 710 | 360 | 100% | 110 | 200 | -730 | |
| GHSS | 350 | 120 | -230 | -65% | 110 | 50 | 320 | |
| SHS | 350 | 7 | -340 | -100% | 110 | 5 | 630 | |
| Base | 180 | 140 | -40 | -20% | 140 | 110 | - | |
| Inaction | 180 | 340 | 160 | 90% | 140 | 250 | -920 | |
| GHSS | 180 | 70 | -110 | -60% | 140 | 60 | 400 | |
| SHS | 180 | 2 | -180 | -100% | 140 | 6 | 790 | |
| Base | 200 | 150 | -50 | -25% | 200 | 150 | - | |
| Inaction | 200 | 370 | 170 | 85% | 200 | 370 | -1,400 | |
| GHSS | 200 | 80 | -120 | -60% | 200 | 80 | 600 | |
| SHS | 200 | 5 | -200 | -100% | 200 | 5 | 1,200 | |
Values in this table have been rounded, so calculated percentages may not be reproducible
* Absolute change was calculated as the 2030 prevalent value minus the 2017 prevalent value
** Percent (%) change was calculated as the 2030 prevalent value divided by the 2017 prevalent value, minus one
*** Cases averted is calculated as cumulative incident infections from 2017 to 2030 under the base scenario, minus cumulative incident cases from 2017–2030 in the intervention scenario
† Incidence of HCV was not modeled dynamically in this analysis
‡ Liver related deaths are an annual measure considered in both incident and prevalent sections here, for calculation purposes