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1000 Titel
  • Incidence and risk factors for HIV-tuberculosis coinfection in the Cologne–Bonn region: a retrospective cohort study
1000 Autor/in
  1. Suárez, Isabelle |
  2. Rauschning, Dominic |
  3. Schüller, Cora |
  4. Hagemeier, Anna |
  5. Stecher, Melanie |
  6. Lehmann, Clara |
  7. Schommers, Philipp |
  8. Schlabe, Stefan |
  9. Vehreschild, Jörg-Janne |
  10. Koll, Carolin |
  11. Schwarze-Zander, Carolynne |
  12. Wasmuth, Jan-Christian |
  13. Klingmüller, Angela |
  14. Rockstroh, Jürgen Kurt |
  15. Fätkenheuer, Gerd |
  16. Boesecke, Christoph |
  17. Rybniker, Jan |
1000 Verlag Springer Berlin Heidelberg
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-03-16
1000 Erschienen in
1000 Quellenangabe
  • 52(4):1439-1448
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s15010-024-02215-y |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11289312/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Purpose</jats:title> <jats:p>The risk of developing active tuberculosis (TB) is considerably increased in people living with HIV/AIDS (PLWH). However, incidence of HIV/TB coinfection is difficult to assess as surveillance data are lacking in many countries. Here, we aimed to perform a quantitative analysis of HIV/TB coinfections within the Cologne/Bonn HIV cohort and to determine risk factors for active TB.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>We systematically evaluated data of patients with HIV/TB coinfection between 2006 and 2017. In this retrospective analysis, we compared HIV/TB-coinfected patients with a cohort of HIV-positive patients. The incidence density rate (IDR) was calculated for active TB cases at different time points.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>During 2006–2017, 60 out of 4673 PLWH were diagnosed with active TB. Overall IDR was 0.181 cases/100 patient-years and ranged from 0.266 in 2006–2009 to 0.133 in 2014–2017. Patients originating from Sub-Saharan Africa had a significantly (<jats:italic>p</jats:italic> &lt; 0.001) higher IDR (0.694/100 patient-years of observation, 95% CI [0.435–1.050]) in comparison to patients of German origin (0.053/100 patient-years of observation, 95% CI [0.028–0.091]). In terms of TB-free survival, individuals originating from countries with a TB incidence higher than 10/100,000 exhibited a markedly reduced TB-free survival compared to those originating from regions with lower incidence (<jats:italic>p</jats:italic> &lt; 0.001). In 22 patients, TB and HIV infection were diagnosed simultaneously.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusion</jats:title> <jats:p>Overall, we observed a decline in the incidence density rate (IDR) of HIV/TB coinfections between 2006 and 2017. Patients originating from regions with high incidence bear a higher risk of falling ill with active TB. For PLWH born in Germany, the observed risk of active TB appears to be lower compared to other groups within the cohort. These findings should be considered when developing TB containment and screening strategies for PLWH in low-incidence countries.</jats:p> </jats:sec>
1000 Sacherschließung
lokal Female [MeSH]
lokal Tuberculosis/epidemiology [MeSH]
lokal Coinfection/epidemiology [MeSH]
lokal HIV Infections/complications [MeSH]
lokal Adult [MeSH]
lokal Tuberculosis/complications [MeSH]
lokal Humans [MeSH]
lokal Coinfection/virology [MeSH]
lokal Germany
lokal HIV
lokal Antiretroviral therapy
lokal Immigrants
lokal Incidence [MeSH]
lokal Retrospective Studies [MeSH]
lokal Middle Aged [MeSH]
lokal Risk Factors [MeSH]
lokal Germany/epidemiology [MeSH]
lokal Cohort Studies [MeSH]
lokal HIV Infections/epidemiology [MeSH]
lokal Male [MeSH]
lokal Tuberculosis
lokal Research
lokal Young Adult [MeSH]
lokal TB low-burden country
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
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1000 Hinweis
  • DeepGreen-ID: 9e4959e7c6354b729ffa9fce472eee63 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search) ; at least one of the mandatory fields 'given-names' and 'family-name' is missing for the ORCID profile of 'Hagemeier, Anna' (https://orcid.org/0000-0002-8795-7352)
1000 Label
1000 Förderer
  1. Gemeinsame Bundesausschuss |
  2. Deutsches Zentrum für Infektionsforschung |
  3. German Federal Ministry of Education and Research |
  4. Deutsche Forschungsgemeinschaft |
  5. Innovative Medicines Initiative 2 Joint Undertaking |
  6. Universitätsklinikum Köln |
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    1000 Förderer Gemeinsame Bundesausschuss |
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    1000 Förderer Deutsches Zentrum für Infektionsforschung |
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    1000 Förderer German Federal Ministry of Education and Research |
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    1000 Förderer Deutsche Forschungsgemeinschaft |
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    1000 Förderer Innovative Medicines Initiative 2 Joint Undertaking |
    1000 Förderprogramm -
    1000 Fördernummer -
  6. 1000 joinedFunding-child
    1000 Förderer Universitätsklinikum Köln |
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1000 Erstellt am 2025-07-05T06:03:01.652+0200
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1000 Zuletzt bearbeitet 2025-08-19T19:11:41.547+0200
1000 Objekt bearb. Tue Aug 19 19:11:41 CEST 2025
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