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HIV treatment outcomes among people who inject drugs in Victoria, Australia

Overview of attention for article published in BMC Infectious Diseases, December 2014
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Title
HIV treatment outcomes among people who inject drugs in Victoria, Australia
Published in
BMC Infectious Diseases, December 2014
DOI 10.1186/s12879-014-0707-9
Pubmed ID
Authors

Nick Walsh, Anne Mijch, Kerrie Watson, Handan Wand, Christopher K Fairley, John McNeil, Nick Crofts, Lisa Maher

Abstract

BackgroundPeople who inject drugs (PWID) are a key population affected by HIV. We assessed the effectiveness of HIV treatment among a clinical cohort of people living with HIV (PLHIV) diagnosed and referred for community-based antiretroviral therapy (ART) in Victoria, Australia.MethodsHIV notification data from a central statewide registry were matched with HIV clinical data from two large HIV treatment centers in Melbourne. We used survival analysis and Cox proportional hazard models to estimate time to AIDS and death for PWID in HIV treatment, compared with non-injectors, in the period 1996 ¿ 2008.ResultsOf the 871 individuals, 93 (10.8%) had injecting as an exposure category and 671 (86%) had ever commenced ART. Adjusted analysis showed younger age, high initial CD4 cell count (>500 cells/mm3) or ever having a CD4 cell count >500/mm3, and more recent calendar year of ART commencement were all associated with reduced hazards for AIDS and death, while older age, low initial CD4 cell count (<200/mm3), ever having a CD4 count <200/mm3 (before or during treatment) and high initial viral load (>5 log10) were associated with increased risk of AIDS and death. PWID were no more likely to experience AIDS (HR 0.98[0.54 ¿ 1.80]) or death (HR 0.78 [0.18 ¿ 3.42]) than non-injectors.ConclusionSurvival of HIV-infected PWID on HIV treatment was equivalent to non-injectors. CD4 cell count, initial viral load, calendar year of commencing ART and age are more important determinants of AIDS and mortality than injecting status for in-treatment PLHIV in Victoria, Australia.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 33%
Researcher 4 10%
Student > Doctoral Student 3 8%
Student > Ph. D. Student 3 8%
Student > Bachelor 2 5%
Other 6 15%
Unknown 8 21%
Readers by discipline Count As %
Medicine and Dentistry 9 23%
Nursing and Health Professions 8 21%
Agricultural and Biological Sciences 2 5%
Environmental Science 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 7 18%
Unknown 11 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 December 2014.
All research outputs
#20,247,117
of 22,775,504 outputs
Outputs from BMC Infectious Diseases
#6,460
of 7,669 outputs
Outputs of similar age
#295,965
of 353,125 outputs
Outputs of similar age from BMC Infectious Diseases
#163
of 192 outputs
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