Modelling the potential prevention benefits of a treat-all hepatitis C treatment strategy at global, regional and country levels: A modelling study.


Journal

Journal of viral hepatitis
ISSN: 1365-2893
Titre abrégé: J Viral Hepat
Pays: England
ID NLM: 9435672

Informations de publication

Date de publication:
12 2019
Historique:
received: 27 02 2019
revised: 01 07 2019
accepted: 15 07 2019
pubmed: 9 8 2019
medline: 21 7 2020
entrez: 9 8 2019
Statut: ppublish

Résumé

The World Health Organization (WHO) recently produced guidelines advising a treat-all policy for HCV to encourage widespread treatment scale-up for achieving HCV elimination. We modelled the prevention impact achieved (HCV infections averted [IA]) from initiating this policy compared with treating different subgroups at country, regional and global levels. We assessed what country-level factors affect impact. A dynamic, deterministic HCV transmission model was calibrated to data from global systematic reviews and UN data sets to simulate country-level HCV epidemics with ongoing levels of treatment. For each country, the model projected the prevention impact (in HCV IA per treatment undertaken) of initiating four treatment strategies; either selected randomly (treat-all) or targeted among people who inject drugs (PWID), people aged ≥35, or those with cirrhosis. The IA was assessed over 20 years. Linear regression was used to identify associations between IA per treatment and demographic factors. Eighty-eight countries (85% of the global population) were modelled. Globally, the model estimated 0.35 (95% credibility interval [95%CrI]: 0.16-0.61) IA over 20 years for every randomly allocated treatment, 0.30 (95%CrI: 0.12-0.53) from treating those aged ≥35 and 0.28 (95%CrI: 0.12-0.49) for those with cirrhosis. Globally, treating PWID achieved 1.27 (95%CrI: 0.68-2.04) IA per treatment. The IA per randomly allocated treatment was positively associated with a country's population growth rate and negatively associated with higher HCV prevalence among PWID. In conclusion, appreciable prevention benefits could be achieved from WHO's treat-all strategy, although greater benefits per treatment can be achieved through targeting PWID. Higher impact will be achieved in countries with high population growth.

Identifiants

pubmed: 31392812
doi: 10.1111/jvh.13187
pmc: PMC10401696
mid: NIHMS1919966
doi:

Substances chimiques

Antiviral Agents 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1388-1403

Subventions

Organisme : NIAID NIH HHS
ID : P30 AI036214
Pays : United States
Organisme : NIDA NIH HHS
ID : R01 DA037773
Pays : United States
Organisme : Department of Health
ID : RP-DG-0610-10055
Pays : United Kingdom
Organisme : Department of Health
ID : RP-PG-0616-20008
Pays : United Kingdom

Informations de copyright

© 2019 John Wiley & Sons Ltd.

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Auteurs

Adam Trickey (A)

Population Health Sciences, University of Bristol, Bristol, UK.
National Institute of Health Research (NIHR) Health Protection Research Unit (HPRU) in Evaluation of Interventions, Bristol, UK.

Hannah Fraser (H)

Population Health Sciences, University of Bristol, Bristol, UK.

Aaron G Lim (AG)

Population Health Sciences, University of Bristol, Bristol, UK.

Josephine G Walker (JG)

Population Health Sciences, University of Bristol, Bristol, UK.

Amy Peacock (A)

National Drug and Alcohol Research Centre, UNSW Sydney, Sydney, NSW, Australia.

Samantha Colledge (S)

National Drug and Alcohol Research Centre, UNSW Sydney, Sydney, NSW, Australia.

Janni Leung (J)

National Drug and Alcohol Research Centre, UNSW Sydney, Sydney, NSW, Australia.
Centre for Youth Substance Abuse Research, Faculty of Health and Behavioural Sciences, The University of Queensland, Brisbane, QLD, Australia.
Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, United States.

Jason Grebely (J)

Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, United States.
The Kirby Institute, UNSW Sydney, Sydney, NSW, Australia.

Sarah Larney (S)

National Drug and Alcohol Research Centre, UNSW Sydney, Sydney, NSW, Australia.

Natasha K Martin (NK)

Population Health Sciences, University of Bristol, Bristol, UK.
Division of Infectious Diseases and Global Public Health, University of California, San Diego, CA, USA.

Louisa Degenhardt (L)

National Drug and Alcohol Research Centre, UNSW Sydney, Sydney, NSW, Australia.

Matthew Hickman (M)

Population Health Sciences, University of Bristol, Bristol, UK.
National Institute of Health Research (NIHR) Health Protection Research Unit (HPRU) in Evaluation of Interventions, Bristol, UK.

Margaret T May (MT)

Population Health Sciences, University of Bristol, Bristol, UK.
National Institute of Health Research (NIHR) Health Protection Research Unit (HPRU) in Evaluation of Interventions, Bristol, UK.
National Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, UK.

Peter Vickerman (P)

Population Health Sciences, University of Bristol, Bristol, UK.
National Institute of Health Research (NIHR) Health Protection Research Unit (HPRU) in Evaluation of Interventions, Bristol, UK.

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