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Distribution of advanced HIV disease from three high HIV prevalence settings in Sub-Saharan Africa: a secondary analysis data from three population-based cross-sectional surveys in Eshowe (South Africa), Ndhiwa (Kenya) and Chiradzulu (Malawi)
Background: Despite substantial progress in antiretroviral therapy (ART) scale up, some people living with HIV (PLHIV) continue to present with advanced HIV disease, contributing to ongoing HIV-related morbidity and mortality. Objective: We aimed to quantify population-level estimates of advanced HI...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Taylor & Francis
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6844432/ https://www.ncbi.nlm.nih.gov/pubmed/31679482 http://dx.doi.org/10.1080/16549716.2019.1679472 |
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author | Chihana, Menard L. Huerga, Helena Van Cutsem, Gilles Ellman, Tom Goemaere, Eric Wanjala, Stephen Masiku, Charlie Szumilin, Elisabeth Etard, Jean-Francois Maman, David Davies, Mary-Ann |
author_facet | Chihana, Menard L. Huerga, Helena Van Cutsem, Gilles Ellman, Tom Goemaere, Eric Wanjala, Stephen Masiku, Charlie Szumilin, Elisabeth Etard, Jean-Francois Maman, David Davies, Mary-Ann |
author_sort | Chihana, Menard L. |
collection | PubMed |
description | Background: Despite substantial progress in antiretroviral therapy (ART) scale up, some people living with HIV (PLHIV) continue to present with advanced HIV disease, contributing to ongoing HIV-related morbidity and mortality. Objective: We aimed to quantify population-level estimates of advanced HIV from three high HIV prevalence settings in Sub-Saharan Africa. Methods: Three cross-sectional surveys were conducted in (Ndhiwa (Kenya): September–November 2012), (Chiradzulu (Malawi): February–May 2013) and (Eshowe (South Africa): July–October 2013). Eligible individuals 15–59 years old who consented were interviewed at home followed by rapid HIV test and CD4 count test if tested HIV-positive. Advanced HIV was defined as CD4 < 200 cells/µl. We used logistic regression to identify patient characteristics associated with advanced HIV. Results: Among 18,991 (39.2% male) individuals, 4113 (21.7%) tested HIV-positive; 385/3957 (9.7% (95% Confidence Interval [CI]: 8.8–10.7)) had advanced HIV, ranging from 7.8% (95%CI 6.4–9.5) Chiradzulu (Malawi) to 11.8% (95%CI 9.8–14.2) Ndhiwa (Kenya). The proportion of PLHIV with advanced disease was higher among men 15.3% (95% CI 13.2–17.5) than women 7.5% (95%CI 6.6–8.6) p < 0.001. Overall, 62.7% of all individuals with advanced HIV were aware of their HIV status and 40.3% were currently on ART. Overall, 65.6% of individuals not on ART had not previously been diagnosed with HIV, while only 29.6% of those on ART had been on ART for ≥6 months. Individuals with advanced HIV disease were more likely to be men (adjusted Odds Ratio [aOR]; 2.1 (95%CI 1.7–2.6), and more likely not to be on ART (aOR; 1.7 (95%CI 1.3–2.1). Conclusion: In our study, about 1 in 10 PLHIV had advanced HIV with nearly 40% of them unaware of their HIV status. However, a substantial proportion of patients with advanced HIV were established on ART. Our findings suggest the need for a dual focus on alternative testing strategies to identify PLHIV earlier as well as improving ART retention. |
format | Online Article Text |
id | pubmed-6844432 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-68444322019-11-18 Distribution of advanced HIV disease from three high HIV prevalence settings in Sub-Saharan Africa: a secondary analysis data from three population-based cross-sectional surveys in Eshowe (South Africa), Ndhiwa (Kenya) and Chiradzulu (Malawi) Chihana, Menard L. Huerga, Helena Van Cutsem, Gilles Ellman, Tom Goemaere, Eric Wanjala, Stephen Masiku, Charlie Szumilin, Elisabeth Etard, Jean-Francois Maman, David Davies, Mary-Ann Glob Health Action Original Article Background: Despite substantial progress in antiretroviral therapy (ART) scale up, some people living with HIV (PLHIV) continue to present with advanced HIV disease, contributing to ongoing HIV-related morbidity and mortality. Objective: We aimed to quantify population-level estimates of advanced HIV from three high HIV prevalence settings in Sub-Saharan Africa. Methods: Three cross-sectional surveys were conducted in (Ndhiwa (Kenya): September–November 2012), (Chiradzulu (Malawi): February–May 2013) and (Eshowe (South Africa): July–October 2013). Eligible individuals 15–59 years old who consented were interviewed at home followed by rapid HIV test and CD4 count test if tested HIV-positive. Advanced HIV was defined as CD4 < 200 cells/µl. We used logistic regression to identify patient characteristics associated with advanced HIV. Results: Among 18,991 (39.2% male) individuals, 4113 (21.7%) tested HIV-positive; 385/3957 (9.7% (95% Confidence Interval [CI]: 8.8–10.7)) had advanced HIV, ranging from 7.8% (95%CI 6.4–9.5) Chiradzulu (Malawi) to 11.8% (95%CI 9.8–14.2) Ndhiwa (Kenya). The proportion of PLHIV with advanced disease was higher among men 15.3% (95% CI 13.2–17.5) than women 7.5% (95%CI 6.6–8.6) p < 0.001. Overall, 62.7% of all individuals with advanced HIV were aware of their HIV status and 40.3% were currently on ART. Overall, 65.6% of individuals not on ART had not previously been diagnosed with HIV, while only 29.6% of those on ART had been on ART for ≥6 months. Individuals with advanced HIV disease were more likely to be men (adjusted Odds Ratio [aOR]; 2.1 (95%CI 1.7–2.6), and more likely not to be on ART (aOR; 1.7 (95%CI 1.3–2.1). Conclusion: In our study, about 1 in 10 PLHIV had advanced HIV with nearly 40% of them unaware of their HIV status. However, a substantial proportion of patients with advanced HIV were established on ART. Our findings suggest the need for a dual focus on alternative testing strategies to identify PLHIV earlier as well as improving ART retention. Taylor & Francis 2019-11-04 /pmc/articles/PMC6844432/ /pubmed/31679482 http://dx.doi.org/10.1080/16549716.2019.1679472 Text en © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Chihana, Menard L. Huerga, Helena Van Cutsem, Gilles Ellman, Tom Goemaere, Eric Wanjala, Stephen Masiku, Charlie Szumilin, Elisabeth Etard, Jean-Francois Maman, David Davies, Mary-Ann Distribution of advanced HIV disease from three high HIV prevalence settings in Sub-Saharan Africa: a secondary analysis data from three population-based cross-sectional surveys in Eshowe (South Africa), Ndhiwa (Kenya) and Chiradzulu (Malawi) |
title | Distribution of advanced HIV disease from three high HIV prevalence settings in Sub-Saharan Africa: a secondary analysis data from three population-based cross-sectional surveys in Eshowe (South Africa), Ndhiwa (Kenya) and Chiradzulu (Malawi) |
title_full | Distribution of advanced HIV disease from three high HIV prevalence settings in Sub-Saharan Africa: a secondary analysis data from three population-based cross-sectional surveys in Eshowe (South Africa), Ndhiwa (Kenya) and Chiradzulu (Malawi) |
title_fullStr | Distribution of advanced HIV disease from three high HIV prevalence settings in Sub-Saharan Africa: a secondary analysis data from three population-based cross-sectional surveys in Eshowe (South Africa), Ndhiwa (Kenya) and Chiradzulu (Malawi) |
title_full_unstemmed | Distribution of advanced HIV disease from three high HIV prevalence settings in Sub-Saharan Africa: a secondary analysis data from three population-based cross-sectional surveys in Eshowe (South Africa), Ndhiwa (Kenya) and Chiradzulu (Malawi) |
title_short | Distribution of advanced HIV disease from three high HIV prevalence settings in Sub-Saharan Africa: a secondary analysis data from three population-based cross-sectional surveys in Eshowe (South Africa), Ndhiwa (Kenya) and Chiradzulu (Malawi) |
title_sort | distribution of advanced hiv disease from three high hiv prevalence settings in sub-saharan africa: a secondary analysis data from three population-based cross-sectional surveys in eshowe (south africa), ndhiwa (kenya) and chiradzulu (malawi) |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6844432/ https://www.ncbi.nlm.nih.gov/pubmed/31679482 http://dx.doi.org/10.1080/16549716.2019.1679472 |
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