| Literature DB >> 34839578 |
Florian Bihl1,2, Philip Bruggmann3, Erika Castro Batänjer4, Jean-Francois Dufour5, Daniel Lavanchy6, Beat Müllhaupt7, Francesco Negro8, Homie Razavi9, Claude Scheidegger10, David Semela11, Nasser Semmo12, Sarah Blach9.
Abstract
BACKGROUND: Switzerland has made strides towards hepatitis C virus elimination, but as of 2019, elimination was not guaranteed. However, political interest in viral hepatitis has been increasing. We sought to develop a better understanding of Switzerland's progress towards HCV elimination and the profile of remaining HCV-RNA-positive patients.Entities:
Keywords: Switzerland; elimination; hepatitis C Virus; migration
Mesh:
Substances:
Year: 2021 PMID: 34839578 PMCID: PMC9299769 DOI: 10.1111/liv.15111
Source DB: PubMed Journal: Liver Int ISSN: 1478-3223 Impact factor: 8.754
FIGURE 1Comparison of empirical diagnosis and treatment data from 2016 to 2020 against previously forecast scenarios published in Müllhaupt et al (2018). GHSS, global health sector strategy; SHS, Swiss hepatitis strategy
FIGURE 2A, Change in viremic HCV infections in Switzerland from 2016 to 2020. B, Cascade of care in Switzerland, 2020
Annual number diagnosed and initiating treatment as well as treatment eligibility and SVR under the base and SHS scenarios, 2019‐2030
| Scenario input | Scenario | 2019 | 2020 | 2021‐2022 | 2023‐2024 | 2025‐2026 | 2027‐2028 | 2029‐2030 | Cumulative 2021‐2030 |
|---|---|---|---|---|---|---|---|---|---|
| Newly diagnosed (Viremic) | Base | 820 | 820 | 820 | 820 | 820 | 820 | 820 | 8200 |
| SHS | 820 | 820 | 3600 | 2000 | 1000 | 500 | 500 | 15 200 | |
| Initiating treatment | Base | 1780 | 1200 | 1780 | 1780 | 1780 | 1780 | 1780 | 17 800 |
| SHS | 1780 | 1200 | 4200 | 4000 | 3200 | 3000 | 2700 | 32 200 | |
| Treatment eligibility, fibrosis stage | All scenarios | ≥F0 | ≥F0 | ≥F0 | ≥F0 | ≥F0 | ≥F0 | ≥F0 | — |
| Treatment eligibility, age (y) | All scenarios | 15‐85+ | 15‐85+ | 15‐85+ | 15‐85+ | 15‐85+ | 15‐85+ | 15‐85+ | — |
| SVR | All scenarios | 95% | 95% | 97% | 97% | 97% | 97% | 97% | — |
FIGURE 3Annual number of treated patients and projected outcomes for total viremic infections, liver‐related deaths, and incident HCC amongst people with current viremic infection, under the base and SHS scenarios, 2015‐2030
Population size and HCV prevalence amongst subpopulations as well as the calculated proportion of each subgroup relative to total infections in Switzerland (n = 32 060) (categories are not all mutually exclusive), 2020
| Population | Population size | HCV‐RNA prevalence | HCV‐RNA + infections | Calculated proportion of total infections (n = 32 060), 2020 |
|---|---|---|---|---|
| Pediatric | 1.5 million | 0.03%‐0.05% | 440‐840 | 1%‐3% |
| Adult (18+ y) permanent residents born abroad | ||||
| Total | 2.4 million | Varies by country | 17 800 | 56% |
| No history of IDU | — | — | 10 500 | 33% |
| History of IDU | — | — | 7300 | 23% |
| Adult (18+ y) Swiss‐born permanent residents | ||||
| Total | 4.6 million | 0.3% | 13 650 | 43% |
| History of IDU | — | — | 9010 | 28% |
| No history of IDU | — | — | 4640 | 14% |
| Active PWUD and OAT participants by care provider | ||||
| Total |
| 25%‐40% | 5790‐9260 | 18%‐29% |
| GP | 13 850 | 42% (20%‐44%) | 2800‐6020 | 9%‐19% |
| Specialist | 9310 | <1%‐38% | 90‐3540 | 0.3%‐11% |
| Incarcerated | ||||
| Total |
|
| 350‐690 | 1%‐2% |
| PWID | 405 | 81.2% (Anti‐HCV) | 260 | 0.8% |
| Non‐PWID | 6500 | 1.6% (Anti‐HCV) | 80 | 0.2% |
| High risk sexual behaviours | ||||
| FSW |
| 0.2% (0.0%‐1.3%) | 40‐260 | 0.1%‐0.8% |
| Total MSM | 80 000 | — | 410‐770 | 1%‐2% |
| HIV + MSM, chemsex drugs | 1630 | 13.6%‐25.6% (Anti‐HCV) | 150‐330 | 0.5%‐1.0% |
| HIV + MSM, no chemsex drugs | 4670 | <0.8%‐4.8% | 40‐220 | 0.1%‐0.7% |
| HIV‐MSM | 73 700 | 0.3% | 220 | 0.7% |
Percent of total HCV‐RNA‐positive infections in Switzerland at the beginning of 2020 calculated as follows: number of infections amongst subgroup/total infections in Switzerland (n = 32 060).
Prevalence was back‐calculated as follows: the number of infections/population size; split between GP and specialist care was estimated through unpublished data and expert consensus.