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The risk of HIV transmission at each step of the HIV care continuum among people who inject drugs: a modeling study

BACKGROUND: People who inject drugs (PWID) are at continued risk for HIV in the U.S., and experience disparities across the HIV care continuum compared to other high-risk groups. Estimates of the risk of HIV transmission at each stage of the care continuum may assist in identifying public health pri...

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Autores principales: Escudero, Daniel J., Lurie, Mark N., Mayer, Kenneth H., King, Maximilian, Galea, Sandro, Friedman, Samuel R., Marshall, Brandon D. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5525346/
https://www.ncbi.nlm.nih.gov/pubmed/28738861
http://dx.doi.org/10.1186/s12889-017-4528-9
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author Escudero, Daniel J.
Lurie, Mark N.
Mayer, Kenneth H.
King, Maximilian
Galea, Sandro
Friedman, Samuel R.
Marshall, Brandon D. L.
author_facet Escudero, Daniel J.
Lurie, Mark N.
Mayer, Kenneth H.
King, Maximilian
Galea, Sandro
Friedman, Samuel R.
Marshall, Brandon D. L.
author_sort Escudero, Daniel J.
collection PubMed
description BACKGROUND: People who inject drugs (PWID) are at continued risk for HIV in the U.S., and experience disparities across the HIV care continuum compared to other high-risk groups. Estimates of the risk of HIV transmission at each stage of the care continuum may assist in identifying public health priorities for averting incident infections among PWID, in addition to transmissions to sexual partners of PWID. METHODS: We created an agent-based model simulating HIV transmission and the HIV care continuum for PWID in New York City (NYC) in 2012. To account for sexual transmission arising from PWID to non-PWID, the simulation included the entire adult NYC population. Using surveillance data and estimates from the National HIV Behavioral Surveillance system, we simulated a dynamic sexual and injecting network. We estimated the proportion of HIV transmission events attributable to PWID in the following categories, those: without an HIV diagnosis (‘Undiagnosed’); diagnosed but not on antiretroviral therapy (ART) (‘Diagnosed − not on ART’); those who initiated ART but were not virally suppressed (‘Unsuppressed’); and, those who achieved viral suppression (‘Suppressed’). RESULTS: We estimated HIV incidence among PWID to be 113 per 100,000 person-years in 2012, with an overall incidence rate for the entire adult NYC population of 33 per 100,000 person-years. Despite accounting for only 33% of the HIV-infected PWID population, the Undiagnosed were associated with 52.6% (95% simulation interval [95% SI]: 47.1–57.0%) of total transmission events. The Diagnosed − not on ART population contributed the second-largest proportion of HIV transmissions, with 36.6% (95% SI: 32.2–41.5%). The Unsuppressed population contributed 8.7% (95% SI: 5.6–11.8%), and Suppressed 2.1% (95% SI: 1.1–3.9%), relatively little of overall transmission. CONCLUSIONS: Among PWID in NYC, more than half (53%) of transmissions were from those who were unaware of their infection status and more than 36% were due to PWID who knew their status, but were not on treatment. Our results indicate the importance of early diagnosis and interventions to engage diagnosed PWID on treatment to further suppress population-level HIV transmission. Future HIV prevention research should focus on the elimination of identified and potential barriers to the testing, diagnosis, and retention of PWID on HIV treatment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-017-4528-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-55253462017-07-26 The risk of HIV transmission at each step of the HIV care continuum among people who inject drugs: a modeling study Escudero, Daniel J. Lurie, Mark N. Mayer, Kenneth H. King, Maximilian Galea, Sandro Friedman, Samuel R. Marshall, Brandon D. L. BMC Public Health Research Article BACKGROUND: People who inject drugs (PWID) are at continued risk for HIV in the U.S., and experience disparities across the HIV care continuum compared to other high-risk groups. Estimates of the risk of HIV transmission at each stage of the care continuum may assist in identifying public health priorities for averting incident infections among PWID, in addition to transmissions to sexual partners of PWID. METHODS: We created an agent-based model simulating HIV transmission and the HIV care continuum for PWID in New York City (NYC) in 2012. To account for sexual transmission arising from PWID to non-PWID, the simulation included the entire adult NYC population. Using surveillance data and estimates from the National HIV Behavioral Surveillance system, we simulated a dynamic sexual and injecting network. We estimated the proportion of HIV transmission events attributable to PWID in the following categories, those: without an HIV diagnosis (‘Undiagnosed’); diagnosed but not on antiretroviral therapy (ART) (‘Diagnosed − not on ART’); those who initiated ART but were not virally suppressed (‘Unsuppressed’); and, those who achieved viral suppression (‘Suppressed’). RESULTS: We estimated HIV incidence among PWID to be 113 per 100,000 person-years in 2012, with an overall incidence rate for the entire adult NYC population of 33 per 100,000 person-years. Despite accounting for only 33% of the HIV-infected PWID population, the Undiagnosed were associated with 52.6% (95% simulation interval [95% SI]: 47.1–57.0%) of total transmission events. The Diagnosed − not on ART population contributed the second-largest proportion of HIV transmissions, with 36.6% (95% SI: 32.2–41.5%). The Unsuppressed population contributed 8.7% (95% SI: 5.6–11.8%), and Suppressed 2.1% (95% SI: 1.1–3.9%), relatively little of overall transmission. CONCLUSIONS: Among PWID in NYC, more than half (53%) of transmissions were from those who were unaware of their infection status and more than 36% were due to PWID who knew their status, but were not on treatment. Our results indicate the importance of early diagnosis and interventions to engage diagnosed PWID on treatment to further suppress population-level HIV transmission. Future HIV prevention research should focus on the elimination of identified and potential barriers to the testing, diagnosis, and retention of PWID on HIV treatment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-017-4528-9) contains supplementary material, which is available to authorized users. BioMed Central 2017-07-25 /pmc/articles/PMC5525346/ /pubmed/28738861 http://dx.doi.org/10.1186/s12889-017-4528-9 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Escudero, Daniel J.
Lurie, Mark N.
Mayer, Kenneth H.
King, Maximilian
Galea, Sandro
Friedman, Samuel R.
Marshall, Brandon D. L.
The risk of HIV transmission at each step of the HIV care continuum among people who inject drugs: a modeling study
title The risk of HIV transmission at each step of the HIV care continuum among people who inject drugs: a modeling study
title_full The risk of HIV transmission at each step of the HIV care continuum among people who inject drugs: a modeling study
title_fullStr The risk of HIV transmission at each step of the HIV care continuum among people who inject drugs: a modeling study
title_full_unstemmed The risk of HIV transmission at each step of the HIV care continuum among people who inject drugs: a modeling study
title_short The risk of HIV transmission at each step of the HIV care continuum among people who inject drugs: a modeling study
title_sort risk of hiv transmission at each step of the hiv care continuum among people who inject drugs: a modeling study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5525346/
https://www.ncbi.nlm.nih.gov/pubmed/28738861
http://dx.doi.org/10.1186/s12889-017-4528-9
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