Improvements in the HIV care continuum needed to meaningfully reduce HIV incidence among men who have sex with men in Baltimore, US: a modelling study for HPTN 078.


Journal

Journal of the International AIDS Society
ISSN: 1758-2652
Titre abrégé: J Int AIDS Soc
Pays: Switzerland
ID NLM: 101478566

Informations de publication

Date de publication:
03 2019
Historique:
received: 28 09 2018
accepted: 18 01 2019
entrez: 15 3 2019
pubmed: 15 3 2019
medline: 29 1 2020
Statut: ppublish

Résumé

HIV prevalence is high among men who have sex with men (MSM) in Baltimore, Maryland, United States, and the levels of viral suppression among HIV-positive MSM are relatively low. The HIV Prevention Trials Network 078 trial seeks to increase the levels of viral suppression among US MSM by increasing the rates of diagnosis and linkage to care and treatment. We estimated the increases in viral suppression needed to reach different HIV incidence reduction targets, and the impact of meeting diagnosis and treatment targets. We used a mathematical model of HIV transmission among MSM from Baltimore, US, parameterised with behavioural data and fitted to HIV prevalence and care continuum data for Baltimore wherever possible, to project increases in viral suppression needed to reduce the HIV incidence rate among Baltimore MSM by 10, 20, 30 or 50% after 2, 5 and 10 years. We also projected HIV incidence reductions achieved if US national targets - 90% of people living with HIV (PLHIV) know their HIV serostatus, 90% of those diagnosed are retained in HIV medical care and 80% of those diagnosed are virally suppressed - or UNAIDS 90-90-90 targets (90% of PLHIV know their status, 90% of those diagnosed receive antiretroviral therapy (ART), 90% of those receiving ART are virally suppressed) are each met by 2020. To reduce the HIV incidence rate by 20% and 50% after five years (compared with the base-case at the same time point), the proportion of all HIV-positive MSM who are virally suppressed must increase above 2015 levels by a median 13 percentage points (95% uncertainty interval 9 to 16 percentage points) from median 49% to 60%, and 27 percentage points (22 to 35) from 49% to 75% respectively. Meeting all three US or 90-90-90 UNAIDS targets results in a 48% (31% to 63%) and 51% (38% to 65%) HIV incidence rate reduction in 2020 respectively. Substantial improvements in levels of viral suppression will be needed to achieve significant incidence reductions among MSM in Baltimore, and to meet 2020 US and UNAIDS targets. Future modelling studies should additionally consider the impact of pre-exposure prophylaxis for MSM.

Identifiants

pubmed: 30868739
doi: 10.1002/jia2.25246
pmc: PMC6416473
doi:

Substances chimiques

Anti-HIV Agents 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

e25246

Subventions

Organisme : NIAID NIH HHS
ID : P30 AI094189
Pays : United States
Organisme : Medical Research Council
ID : MR/R015600/1
Pays : United Kingdom
Organisme : NIAID NIH HHS
ID : UM1 AI068619
Pays : United States
Organisme : NIDA NIH HHS
ID : K01 DA041259
Pays : United States
Organisme : NIAID NIH HHS
ID : UM1 AI068617
Pays : United States

Informations de copyright

© 2019 The Authors. Journal of the International AIDS Society published by John Wiley & Sons Ltd on behalf of the International AIDS Society.

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Auteurs

Kate M Mitchell (KM)

Department of Infectious Disease Epidemiology, Imperial College London, HPTN Modelling Centre, London, UK.

Brooke Hoots (B)

Division of STD Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.

Dobromir Dimitrov (D)

Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

Danielle German (D)

Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Colin Flynn (C)

Center for HIV Surveillance, Epidemiology and Evaluation, Maryland Department of Health, Baltimore, MD, USA.

Jason E Farley (JE)

Department of Community-Public Health, Johns Hopkins University School of Nursing, Baltimore, MD, USA.

Marcy Gelman (M)

The Fenway Institute, Fenway Health, Boston, MA, USA.

James P Hughes (JP)

Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Department of Biostatistics, University of Washington, Seattle, WA, USA.

Deborah Donnell (D)

Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

Adeola Adeyeye (A)

Division of AIDS, NIAID, National Institutes of Health, Washington, DC, USA.

Robert H Remien (RH)

HIV Center for Clinical and Behavioral Studies, NY State Psychiatric Institute, New York, NY, USA.
Department of Psychiatry, Columbia University, New York, NY, USA.

Chris Beyrer (C)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Gabriela Paz-Bailey (G)

Division of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.

Marie-Claude Boily (MC)

Department of Infectious Disease Epidemiology, Imperial College London, HPTN Modelling Centre, London, UK.

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