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Assessing sex differences in viral load suppression and reported deaths using routinely collected program data from PEPFAR-supported countries in sub-Saharan Africa
BACKGROUND: In sub-Saharan Africa, more women than men access HIV testing and treatment and may have better viral load suppression (VLS). We utilized routinely reported aggregated HIV program data from 21 sub-Saharan African countries to examine sex differences in VLS and death rates within antiretr...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10559393/ https://www.ncbi.nlm.nih.gov/pubmed/37805465 http://dx.doi.org/10.1186/s12889-023-16453-6 |
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author | Fernandez, Danielle Ali, Hammad Pals, Sherri Alemnji, George Vasireddy, Vamsi Siberry, George K. Oboho, Ikwo Godfrey, Catherine |
author_facet | Fernandez, Danielle Ali, Hammad Pals, Sherri Alemnji, George Vasireddy, Vamsi Siberry, George K. Oboho, Ikwo Godfrey, Catherine |
author_sort | Fernandez, Danielle |
collection | PubMed |
description | BACKGROUND: In sub-Saharan Africa, more women than men access HIV testing and treatment and may have better viral load suppression (VLS). We utilized routinely reported aggregated HIV program data from 21 sub-Saharan African countries to examine sex differences in VLS and death rates within antiretroviral therapy (ART) programs supported by the United States President's Emergency Plan for AIDS Relief (PEPFAR). METHODS: We included VLS and reported death data for persons aged 15 + years on ART from October–December 2020 disaggregated by sex and age for each subnational unit (SNU). We used linear mixed-model regression to estimate VLS proportion and negative binomial mixed-model regression to estimate the rates of death and death plus interruptions in treatment (IIT). All models were weighted for SNU-level ART population size and adjusted for sex, age, HIV/tuberculosis coinfection, country, and SNU; models for reported deaths and deaths plus IIT were also adjusted for SNU-level VLS. RESULTS: Mean VLS proportion was higher among women than men (93.0% vs. 92.0%, p-value < 0.0001) and 50 + than 15–49 age group (93.7% vs. 91.2%, p-value < 0.0001). The mean rate of reported deaths was higher among men than women (2.37 vs. 1.51 per 1000 persons, p-value < 0.0001) and 50 + than 15–49 age group (2.39 vs. 1.50 per 1000, p-value < 0.0001); the mean rate of reported deaths plus IIT was higher among men (30.1 in men vs. 26.0 in women per 1000, p-value < 0.0001) and higher among 15–49 than 50 + age group (34.7 vs. 22.6 per 1000, p-value < 0.0001). CONCLUSIONS: The mean rate of reported deaths was higher among men in most models despite adjusting for VLS. Further exploration into differences in care-seeking behaviors; coverage of screening, prophylaxis, and/or treatment of opportunistic infections; and more extensive testing options for men to include CD4 is recommended. |
format | Online Article Text |
id | pubmed-10559393 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105593932023-10-08 Assessing sex differences in viral load suppression and reported deaths using routinely collected program data from PEPFAR-supported countries in sub-Saharan Africa Fernandez, Danielle Ali, Hammad Pals, Sherri Alemnji, George Vasireddy, Vamsi Siberry, George K. Oboho, Ikwo Godfrey, Catherine BMC Public Health Research BACKGROUND: In sub-Saharan Africa, more women than men access HIV testing and treatment and may have better viral load suppression (VLS). We utilized routinely reported aggregated HIV program data from 21 sub-Saharan African countries to examine sex differences in VLS and death rates within antiretroviral therapy (ART) programs supported by the United States President's Emergency Plan for AIDS Relief (PEPFAR). METHODS: We included VLS and reported death data for persons aged 15 + years on ART from October–December 2020 disaggregated by sex and age for each subnational unit (SNU). We used linear mixed-model regression to estimate VLS proportion and negative binomial mixed-model regression to estimate the rates of death and death plus interruptions in treatment (IIT). All models were weighted for SNU-level ART population size and adjusted for sex, age, HIV/tuberculosis coinfection, country, and SNU; models for reported deaths and deaths plus IIT were also adjusted for SNU-level VLS. RESULTS: Mean VLS proportion was higher among women than men (93.0% vs. 92.0%, p-value < 0.0001) and 50 + than 15–49 age group (93.7% vs. 91.2%, p-value < 0.0001). The mean rate of reported deaths was higher among men than women (2.37 vs. 1.51 per 1000 persons, p-value < 0.0001) and 50 + than 15–49 age group (2.39 vs. 1.50 per 1000, p-value < 0.0001); the mean rate of reported deaths plus IIT was higher among men (30.1 in men vs. 26.0 in women per 1000, p-value < 0.0001) and higher among 15–49 than 50 + age group (34.7 vs. 22.6 per 1000, p-value < 0.0001). CONCLUSIONS: The mean rate of reported deaths was higher among men in most models despite adjusting for VLS. Further exploration into differences in care-seeking behaviors; coverage of screening, prophylaxis, and/or treatment of opportunistic infections; and more extensive testing options for men to include CD4 is recommended. BioMed Central 2023-10-07 /pmc/articles/PMC10559393/ /pubmed/37805465 http://dx.doi.org/10.1186/s12889-023-16453-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Fernandez, Danielle Ali, Hammad Pals, Sherri Alemnji, George Vasireddy, Vamsi Siberry, George K. Oboho, Ikwo Godfrey, Catherine Assessing sex differences in viral load suppression and reported deaths using routinely collected program data from PEPFAR-supported countries in sub-Saharan Africa |
title | Assessing sex differences in viral load suppression and reported deaths using routinely collected program data from PEPFAR-supported countries in sub-Saharan Africa |
title_full | Assessing sex differences in viral load suppression and reported deaths using routinely collected program data from PEPFAR-supported countries in sub-Saharan Africa |
title_fullStr | Assessing sex differences in viral load suppression and reported deaths using routinely collected program data from PEPFAR-supported countries in sub-Saharan Africa |
title_full_unstemmed | Assessing sex differences in viral load suppression and reported deaths using routinely collected program data from PEPFAR-supported countries in sub-Saharan Africa |
title_short | Assessing sex differences in viral load suppression and reported deaths using routinely collected program data from PEPFAR-supported countries in sub-Saharan Africa |
title_sort | assessing sex differences in viral load suppression and reported deaths using routinely collected program data from pepfar-supported countries in sub-saharan africa |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10559393/ https://www.ncbi.nlm.nih.gov/pubmed/37805465 http://dx.doi.org/10.1186/s12889-023-16453-6 |
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