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Five-year risk of HIV diagnosis subsequent to 147 hospital-based indicator diseases: a Danish nationwide population-based cohort study

Overview of attention for article published in Clinical Epidemiology, September 2016
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Title
Five-year risk of HIV diagnosis subsequent to 147 hospital-based indicator diseases: a Danish nationwide population-based cohort study
Published in
Clinical Epidemiology, September 2016
DOI 10.2147/clep.s101288
Pubmed ID
Authors

Lars Haukali Omland, Rebecca Legarth, Magnus Glindvad Ahlström, Henrik Toft Sørensen, Niels Obel

Abstract

It has been suggested that targeted human immunodeficiency virus (HIV) testing programs are cost-effective in populations with an HIV prevalence >0.1%. Several indicator diseases are known to be associated with increased risk of HIV infection, but estimates of HIV frequency in persons with relevant indicator diseases are nonexistent. In a nationwide population-based cohort study encompassing all Danish residents aged 20-60 years during 1994-2013, we estimated the 5-year risk of an HIV diagnosis (FYRHD) after a first-time diagnosis of 147 prespecified potential indicator diseases. To estimate the risk of HIV diagnosis in the general population without any indicator diseases, we calculated the FYRHD starting at age 25, 35, 45, and 55 years. The risk in the male general population was substantially higher than the female general population, and the risk was lower in the older age categories. Individuals of African origin had a higher FYRHD than individuals of Danish origin. A number of diseases were identified with a FYRHD >0.1%, with infectious diseases, such as syphilis, hepatitis, and endocarditis, associated with a particularly high FYRHD. Other potential indicator diseases, such as most urologic, nephrologic, rheumatologic, and endocrine disorders were generally associated with a low FYRHD. Our study identified a large number of indicator diseases associated with a FYRHD >0.1%. These data can be used as a tool for planning targeted HIV screening programs.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 29%
Student > Master 3 13%
Researcher 2 8%
Other 1 4%
Student > Bachelor 1 4%
Other 3 13%
Unknown 7 29%
Readers by discipline Count As %
Medicine and Dentistry 11 46%
Economics, Econometrics and Finance 2 8%
Computer Science 1 4%
Business, Management and Accounting 1 4%
Immunology and Microbiology 1 4%
Other 0 0%
Unknown 8 33%
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 17 October 2016.
All research outputs
#20,655,488
of 25,373,627 outputs
Outputs from Clinical Epidemiology
#639
of 793 outputs
Outputs of similar age
#271,792
of 348,359 outputs
Outputs of similar age from Clinical Epidemiology
#22
of 32 outputs
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