17
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

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

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          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.

          Related collections

          Most cited references27

          • Record: found
          • Abstract: found
          • Article: not found

          Heroin use and heroin use risk behaviors among nonmedical users of prescription opioid pain relievers - United States, 2002-2004 and 2008-2010.

          Heroin use and overdose deaths have increased in recent years. Emerging information suggests this is the result of increases in nonmedical use of opioid pain relievers and nonmedical users transitioning to heroin use. Understanding this relationship is critically important for the development of public health interventions.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Vital Signs: HIV Diagnosis, Care, and Treatment Among Persons Living with HIV — United States, 2011

            Background Infection with human immunodeficiency virus (HIV), if untreated, leads to acquired immunodeficiency syndrome (AIDS) and premature death. However, a continuum of services including HIV testing, HIV medical care, and antiretroviral therapy (ART) can lead to viral suppression, improved health and survival of persons infected with HIV, and prevention of HIV transmission. Methods CDC used data from the National HIV Surveillance System and the Medical Monitoring Project to estimate the percentages of persons living with HIV infection, diagnosed with HIV infection, linked to HIV medical care, engaged in HIV medical care, prescribed ART, and virally suppressed in the United States during 2011. Results In 2011, an estimated 1.2 million persons were living with HIV infection in the United States; an estimated 86% were diagnosed with HIV, 40% were engaged in HIV medical care, 37% were prescribed ART, and 30% achieved viral suppression. The prevalence of viral suppression was significantly lower among persons aged 18–24 years (13%), 25–34 years (23%), and 35–44 years (27%) compared with those aged ≥65 years (37%). Conclusions A comprehensive continuum of services is needed to ensure that all persons living with HIV infection receive the HIV care and treatment needed to achieve viral suppression. Improvements are needed across the HIV care continuum to protect the health of persons living with HIV, reduce HIV transmission, and reach prevention and care goals. Implications for public health practice State and local health departments, community-based organizations, and health care providers play essential roles in improving outcomes on the HIV care continuum that increase survival among persons living with HIV and prevent new HIV infections. The greatest opportunities for increasing the percentage of persons with a suppressed viral load are reducing undiagnosed HIV infections and increasing the percentage of persons living with HIV who are engaged in care.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Estimating the Number of Persons Who Inject Drugs in the United States by Meta-Analysis to Calculate National Rates of HIV and Hepatitis C Virus Infections

              Background Injection drug use provides an efficient mechanism for transmitting bloodborne viruses, including human immunodeficiency virus (HIV) and hepatitis C virus (HCV). Effective targeting of resources for prevention of HIV and HCV infection among persons who inject drugs (PWID) is based on knowledge of the population size and disparity in disease burden among PWID. This study estimated the number of PWID in the United States to calculate rates of HIV and HCV infection. Methods We conducted meta-analysis using data from 4 national probability surveys that measured lifetime (3 surveys) or past-year (3 surveys) injection drug use to estimate the proportion of the United States population that has injected drugs. We then applied these proportions to census data to produce population size estimates. To estimate the disease burden among PWID by calculating rates of disease we used lifetime population size estimates of PWID as denominators and estimates of HIV and HCV infection from national HIV surveillance and survey data, respectively, as numerators. We calculated rates of HIV among PWID by gender-, age-, and race/ethnicity. Results Lifetime PWID comprised 2.6% (95% confidence interval: 1.8%–3.3%) of the U.S. population aged 13 years or older, representing approximately 6,612,488 PWID (range: 4,583,188–8,641,788) in 2011. The population estimate of past-year PWID was 0.30% (95% confidence interval: 0.19 %–0.41%) or 774,434 PWID (range: 494,605–1,054,263). Among lifetime PWID, the 2011 HIV diagnosis rate was 55 per 100,000 PWID; the rate of persons living with a diagnosis of HIV infection in 2010 was 2,147 per 100,000 PWID; and the 2011 HCV infection rate was 43,126 per 100,000 PWID. Conclusion Estimates of the number of PWID and disease rates among PWID are important for program planning and addressing health inequities.
                Bookmark

                Author and article information

                Contributors
                Escudero@hsph.harvard.edu
                Mark_lurie@brown.edu
                Kmayer@fenwayhealth.org
                Maximilian_king@brown.edu
                Sgalea@bu.edu
                Friedman@ndri.org
                401-863-6427 , Brandon_marshall@brown.edu
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                25 July 2017
                25 July 2017
                2017
                : 17
                : 614
                Affiliations
                [1 ]ISNI 000000041936754X, GRID grid.38142.3c, Department of Epidemiology, , Harvard T.H. Chan School of Public Health, ; 677 Huntington Ave, Boston, MA USA
                [2 ]ISNI 0000 0004 1936 9094, GRID grid.40263.33, Department of Epidemiology, , Brown University School of Public Health, ; 121 South Main Street (Box G-S-121-2), Providence, RI USA
                [3 ]ISNI 0000 0004 0457 1396, GRID grid.245849.6, , Fenway Health, ; 1340 Boylston St, Boston, MA USA
                [4 ]ISNI 0000 0000 9011 8547, GRID grid.239395.7, , Beth Israel Deaconess Medical Center, ; 330 Brookline Ave, Boston, MA USA
                [5 ]ISNI 0000 0004 1936 7558, GRID grid.189504.1, , Boston University School of Public Health, ; Boston, Albany St, MA 715 USA
                [6 ]ISNI 0000 0004 0442 0766, GRID grid.276773.0, , National Development and Research Institutes, ; 71 West 23rd St, New York, NY USA
                Article
                4528
                10.1186/s12889-017-4528-9
                5525346
                28738861
                e069a4e3-fa88-46a2-ae7d-91c2b74dca26
                © 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.

                History
                : 19 December 2016
                : 21 June 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000025, National Institute of Mental Health;
                Award ID: R01MH106600-01
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000071, National Institute of Child Health and Human Development;
                Award ID: R24HD077976-01
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000026, National Institute on Drug Abuse;
                Award ID: DP2DA040236-01
                Award ID: F31DA037808-02
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000060, National Institute of Allergy and Infectious Diseases;
                Award ID: T32AI007433-24
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100006418, Brown University;
                Award ID: Henry Merritt Wriston Fellowship
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                Public health
                people who inject drugs,hiv care continuum,hiv care cascade,haart,art
                Public health
                people who inject drugs, hiv care continuum, hiv care cascade, haart, art

                Comments

                Comment on this article