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Monitoring Recently Acquired HIV Infections in Amsterdam, The Netherlands: The Attribution of Test Locations
Background: Surveillance of recent HIV infections (RHI) using an avidity assay has been implemented at Dutch sexual health centres (SHC) since 2014, but data on RHI diagnosed at other test locations is lacking. Setting: Implementation of the avidity assay in HIV treatment clinics for the purpose of...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580630/ https://www.ncbi.nlm.nih.gov/pubmed/36304001 http://dx.doi.org/10.3389/frph.2021.568611 |
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author | Slurink, Isabel A. L. van de Baan, Frank van Sighem, Ard I. van Dam, Alje P. van de Laar, Thijs J. W. de Bree, Godelieve J. van Benthem, Birgit H. B. Op de Coul, Eline L. M. |
author_facet | Slurink, Isabel A. L. van de Baan, Frank van Sighem, Ard I. van Dam, Alje P. van de Laar, Thijs J. W. de Bree, Godelieve J. van Benthem, Birgit H. B. Op de Coul, Eline L. M. |
author_sort | Slurink, Isabel A. L. |
collection | PubMed |
description | Background: Surveillance of recent HIV infections (RHI) using an avidity assay has been implemented at Dutch sexual health centres (SHC) since 2014, but data on RHI diagnosed at other test locations is lacking. Setting: Implementation of the avidity assay in HIV treatment clinics for the purpose of studying RHI among HIV patients tested at different test locations. Methods: We retrospectively tested leftover specimens from newly diagnosed HIV patients in care in 2013–2015 in Amsterdam. Avidity Index (AI) values ≤0.80 indicated recent infection (acquired ≤6 months prior to diagnosis), and AI > 0.80 indicated established infection (acquired >6 months prior to diagnosis). An algorithm for RHI was applied to correct for false recency. Recency based on this algorithm was compared with recency based on epidemiological data only. Multivariable logistic regression analysis was used to identify factors associated with RHI among men who have sex with men (MSM). Results: We tested 447 specimens with avidity; 72% from MSM. Proportions of RHI were 20% among MSM and 10% among heterosexuals. SHC showed highest proportions of RHI (27%), followed by GPs (15%), hospitals (5%), and other/unknown locations (11%) (p < 0.001). Test location was the only factor associated with RHI among MSM. A higher proportion of RHI was found based on epidemiological data compared to avidity testing combined with the RHI algorithm. Conclusion: SHC identify more RHI infections compared to other test locations, as they serve high-risk populations and offer frequent HIV testing. Using avidity-testing for surveillance purposes may help targeting prevention programs, but the assay lacks robustness and its added value may decline with improved, repeat HIV testing and data collection. |
format | Online Article Text |
id | pubmed-9580630 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95806302022-10-26 Monitoring Recently Acquired HIV Infections in Amsterdam, The Netherlands: The Attribution of Test Locations Slurink, Isabel A. L. van de Baan, Frank van Sighem, Ard I. van Dam, Alje P. van de Laar, Thijs J. W. de Bree, Godelieve J. van Benthem, Birgit H. B. Op de Coul, Eline L. M. Front Reprod Health Reproductive Health Background: Surveillance of recent HIV infections (RHI) using an avidity assay has been implemented at Dutch sexual health centres (SHC) since 2014, but data on RHI diagnosed at other test locations is lacking. Setting: Implementation of the avidity assay in HIV treatment clinics for the purpose of studying RHI among HIV patients tested at different test locations. Methods: We retrospectively tested leftover specimens from newly diagnosed HIV patients in care in 2013–2015 in Amsterdam. Avidity Index (AI) values ≤0.80 indicated recent infection (acquired ≤6 months prior to diagnosis), and AI > 0.80 indicated established infection (acquired >6 months prior to diagnosis). An algorithm for RHI was applied to correct for false recency. Recency based on this algorithm was compared with recency based on epidemiological data only. Multivariable logistic regression analysis was used to identify factors associated with RHI among men who have sex with men (MSM). Results: We tested 447 specimens with avidity; 72% from MSM. Proportions of RHI were 20% among MSM and 10% among heterosexuals. SHC showed highest proportions of RHI (27%), followed by GPs (15%), hospitals (5%), and other/unknown locations (11%) (p < 0.001). Test location was the only factor associated with RHI among MSM. A higher proportion of RHI was found based on epidemiological data compared to avidity testing combined with the RHI algorithm. Conclusion: SHC identify more RHI infections compared to other test locations, as they serve high-risk populations and offer frequent HIV testing. Using avidity-testing for surveillance purposes may help targeting prevention programs, but the assay lacks robustness and its added value may decline with improved, repeat HIV testing and data collection. Frontiers Media S.A. 2021-02-10 /pmc/articles/PMC9580630/ /pubmed/36304001 http://dx.doi.org/10.3389/frph.2021.568611 Text en Copyright © 2021 Slurink, van de Baan, van Sighem, van Dam, van de Laar, de Bree, van Benthem and Op de Coul. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Reproductive Health Slurink, Isabel A. L. van de Baan, Frank van Sighem, Ard I. van Dam, Alje P. van de Laar, Thijs J. W. de Bree, Godelieve J. van Benthem, Birgit H. B. Op de Coul, Eline L. M. Monitoring Recently Acquired HIV Infections in Amsterdam, The Netherlands: The Attribution of Test Locations |
title | Monitoring Recently Acquired HIV Infections in Amsterdam, The Netherlands: The Attribution of Test Locations |
title_full | Monitoring Recently Acquired HIV Infections in Amsterdam, The Netherlands: The Attribution of Test Locations |
title_fullStr | Monitoring Recently Acquired HIV Infections in Amsterdam, The Netherlands: The Attribution of Test Locations |
title_full_unstemmed | Monitoring Recently Acquired HIV Infections in Amsterdam, The Netherlands: The Attribution of Test Locations |
title_short | Monitoring Recently Acquired HIV Infections in Amsterdam, The Netherlands: The Attribution of Test Locations |
title_sort | monitoring recently acquired hiv infections in amsterdam, the netherlands: the attribution of test locations |
topic | Reproductive Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580630/ https://www.ncbi.nlm.nih.gov/pubmed/36304001 http://dx.doi.org/10.3389/frph.2021.568611 |
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