Cargando…

Morbidity and Risk of Subsequent Diagnosis of HIV: A Population Based Case Control Study Identifying Indicator Diseases for HIV Infection

BACKGROUND: Early identification of persons with undiagnosed HIV infection is an important health care issue. We examined associations between diseases diagnosed in hospitals and risk of subsequent HIV diagnosis. METHODS: In this population-based case control study, cases were persons with incident...

Descripción completa

Detalles Bibliográficos
Autores principales: Søgaard, Ole S., Lohse, Nicolai, Østergaard, Lars, Kronborg, Gitte, Røge, Birgit, Gerstoft, Jan, Sørensen, Henrik T., Obel, Niels
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3293814/
https://www.ncbi.nlm.nih.gov/pubmed/22403672
http://dx.doi.org/10.1371/journal.pone.0032538
_version_ 1782225430086942720
author Søgaard, Ole S.
Lohse, Nicolai
Østergaard, Lars
Kronborg, Gitte
Røge, Birgit
Gerstoft, Jan
Sørensen, Henrik T.
Obel, Niels
author_facet Søgaard, Ole S.
Lohse, Nicolai
Østergaard, Lars
Kronborg, Gitte
Røge, Birgit
Gerstoft, Jan
Sørensen, Henrik T.
Obel, Niels
author_sort Søgaard, Ole S.
collection PubMed
description BACKGROUND: Early identification of persons with undiagnosed HIV infection is an important health care issue. We examined associations between diseases diagnosed in hospitals and risk of subsequent HIV diagnosis. METHODS: In this population-based case control study, cases were persons with incident HIV infection diagnosed in Denmark between 1 January 1995 and 1 June 2008. Risk-set sampling was used to identify 19 age- and gender-matched population controls for each HIV case, using the HIV diagnosis date as the index date for both cases and controls. Prior hospital diagnoses obtained from Danish medical databases were first categorized into 22 major disease categories (excluding AIDS-defining diseases except tuberculosis) and then subdivided into 161 subcategories, allowing us to examine specific diseases as potential HIV indicators by conditional logistic regression. RESULTS: The study included 2,036 HIV cases and 35,718 controls. Persons with the following disease categories had a high risk of HIV diagnosis during the subsequent 5-year period: sexually transmitted infections and viral hepatitis (adjusted odds ratio [aOR] = 12.3, 95% CI: 9.60–15.7), hematological diseases (aOR = 4.28, 3.13–5.85), lower respiratory tract infections (aOR = 3.98, 3.14–5.04)), CNS infections (aOR = 3.44, 1.74–6.80), skin infections (aOR = 3.05, 2.47–3.75), other infections (aOR = 4.64, 3.89–5.54), and substance abuse (aOR = 2.60, 2.06–3.29). Several specific diseases were associated with aORs >20 including syphilis, hepatitis A, non “A” viral hepatitis, herpes zoster, candida infection, endocarditis, thrombocytopenia, and opioid abuse. CONCLUSIONS: Targeted testing for HIV in patients diagnosed with diseases associated with HIV may lead to earlier treatment and thereby reduced morbidity, mortality and HIV transmission.
format Online
Article
Text
id pubmed-3293814
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-32938142012-03-08 Morbidity and Risk of Subsequent Diagnosis of HIV: A Population Based Case Control Study Identifying Indicator Diseases for HIV Infection Søgaard, Ole S. Lohse, Nicolai Østergaard, Lars Kronborg, Gitte Røge, Birgit Gerstoft, Jan Sørensen, Henrik T. Obel, Niels PLoS One Research Article BACKGROUND: Early identification of persons with undiagnosed HIV infection is an important health care issue. We examined associations between diseases diagnosed in hospitals and risk of subsequent HIV diagnosis. METHODS: In this population-based case control study, cases were persons with incident HIV infection diagnosed in Denmark between 1 January 1995 and 1 June 2008. Risk-set sampling was used to identify 19 age- and gender-matched population controls for each HIV case, using the HIV diagnosis date as the index date for both cases and controls. Prior hospital diagnoses obtained from Danish medical databases were first categorized into 22 major disease categories (excluding AIDS-defining diseases except tuberculosis) and then subdivided into 161 subcategories, allowing us to examine specific diseases as potential HIV indicators by conditional logistic regression. RESULTS: The study included 2,036 HIV cases and 35,718 controls. Persons with the following disease categories had a high risk of HIV diagnosis during the subsequent 5-year period: sexually transmitted infections and viral hepatitis (adjusted odds ratio [aOR] = 12.3, 95% CI: 9.60–15.7), hematological diseases (aOR = 4.28, 3.13–5.85), lower respiratory tract infections (aOR = 3.98, 3.14–5.04)), CNS infections (aOR = 3.44, 1.74–6.80), skin infections (aOR = 3.05, 2.47–3.75), other infections (aOR = 4.64, 3.89–5.54), and substance abuse (aOR = 2.60, 2.06–3.29). Several specific diseases were associated with aORs >20 including syphilis, hepatitis A, non “A” viral hepatitis, herpes zoster, candida infection, endocarditis, thrombocytopenia, and opioid abuse. CONCLUSIONS: Targeted testing for HIV in patients diagnosed with diseases associated with HIV may lead to earlier treatment and thereby reduced morbidity, mortality and HIV transmission. Public Library of Science 2012-03-05 /pmc/articles/PMC3293814/ /pubmed/22403672 http://dx.doi.org/10.1371/journal.pone.0032538 Text en Søgaard et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Søgaard, Ole S.
Lohse, Nicolai
Østergaard, Lars
Kronborg, Gitte
Røge, Birgit
Gerstoft, Jan
Sørensen, Henrik T.
Obel, Niels
Morbidity and Risk of Subsequent Diagnosis of HIV: A Population Based Case Control Study Identifying Indicator Diseases for HIV Infection
title Morbidity and Risk of Subsequent Diagnosis of HIV: A Population Based Case Control Study Identifying Indicator Diseases for HIV Infection
title_full Morbidity and Risk of Subsequent Diagnosis of HIV: A Population Based Case Control Study Identifying Indicator Diseases for HIV Infection
title_fullStr Morbidity and Risk of Subsequent Diagnosis of HIV: A Population Based Case Control Study Identifying Indicator Diseases for HIV Infection
title_full_unstemmed Morbidity and Risk of Subsequent Diagnosis of HIV: A Population Based Case Control Study Identifying Indicator Diseases for HIV Infection
title_short Morbidity and Risk of Subsequent Diagnosis of HIV: A Population Based Case Control Study Identifying Indicator Diseases for HIV Infection
title_sort morbidity and risk of subsequent diagnosis of hiv: a population based case control study identifying indicator diseases for hiv infection
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3293814/
https://www.ncbi.nlm.nih.gov/pubmed/22403672
http://dx.doi.org/10.1371/journal.pone.0032538
work_keys_str_mv AT søgaardoles morbidityandriskofsubsequentdiagnosisofhivapopulationbasedcasecontrolstudyidentifyingindicatordiseasesforhivinfection
AT lohsenicolai morbidityandriskofsubsequentdiagnosisofhivapopulationbasedcasecontrolstudyidentifyingindicatordiseasesforhivinfection
AT østergaardlars morbidityandriskofsubsequentdiagnosisofhivapopulationbasedcasecontrolstudyidentifyingindicatordiseasesforhivinfection
AT kronborggitte morbidityandriskofsubsequentdiagnosisofhivapopulationbasedcasecontrolstudyidentifyingindicatordiseasesforhivinfection
AT røgebirgit morbidityandriskofsubsequentdiagnosisofhivapopulationbasedcasecontrolstudyidentifyingindicatordiseasesforhivinfection
AT gerstoftjan morbidityandriskofsubsequentdiagnosisofhivapopulationbasedcasecontrolstudyidentifyingindicatordiseasesforhivinfection
AT sørensenhenrikt morbidityandriskofsubsequentdiagnosisofhivapopulationbasedcasecontrolstudyidentifyingindicatordiseasesforhivinfection
AT obelniels morbidityandriskofsubsequentdiagnosisofhivapopulationbasedcasecontrolstudyidentifyingindicatordiseasesforhivinfection