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Forecast analysis of any opportunistic infection among HIV positive individuals on antiretroviral therapy in Uganda

BACKGROUND: Predicting future prevalence of any opportunistic infection (OI) among persons infected with the human immunodeficiency virus (HIV) on highly active antiretroviral therapy (HAART) in resource poor settings is important for proper planning, advocacy and resource allocation. We conducted a...

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Autores principales: Rubaihayo, John, Tumwesigye, Nazarius M., Konde-Lule, Joseph, Makumbi, Fredrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4982438/
https://www.ncbi.nlm.nih.gov/pubmed/27515983
http://dx.doi.org/10.1186/s12889-016-3455-5
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author Rubaihayo, John
Tumwesigye, Nazarius M.
Konde-Lule, Joseph
Makumbi, Fredrick
author_facet Rubaihayo, John
Tumwesigye, Nazarius M.
Konde-Lule, Joseph
Makumbi, Fredrick
author_sort Rubaihayo, John
collection PubMed
description BACKGROUND: Predicting future prevalence of any opportunistic infection (OI) among persons infected with the human immunodeficiency virus (HIV) on highly active antiretroviral therapy (HAART) in resource poor settings is important for proper planning, advocacy and resource allocation. We conducted a study to forecast 5-years prevalence of any OI among HIV-infected individuals on HAART in Uganda. METHODS: Monthly observational data collected over a 10-years period (2004–2013) by the AIDS support organization (TASO) in Uganda were used to forecast 5-years annual prevalence of any OI covering the period 2014–2018. The OIs considered include 14 AIDS-defining OIs, two non-AIDS defining OIs (malaria & geohelminths) and HIV-associated Kaposi’s sarcoma. Box-Jenkins autoregressive integrated moving average (ARIMA) forecasting methodology was used. RESULTS: Between 2004 and 2013, a total of 36,133 HIV patients were enrolled on HAART of which two thirds (66 %) were female. Mean annual prevalence for any OI in 2004 was 57.6 % and in 2013 was 27.5 % (X(2)(trend) = 122, b = −0.0283, p <0.0001). ARIMA (1, 1, 1) model was the most parsimonious and best fit for the data. The forecasted mean annual prevalence of any OI was 26.1 % (95 % CI 21.1–31.0 %) in 2014 and 15.3 % (95 % CI 10.4–20.3 %) in 2018. CONCLUSIONS: While the prevalence of any OI among HIV positive individuals on HAART in Uganda is expected to decrease overall, it’s unlikely that OIs will be completely eliminated in the foreseeable future. There is therefore need for continued efforts in prevention and control of opportunistic infections in all HIV/AIDS care programmes in these settings. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-016-3455-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-49824382016-08-13 Forecast analysis of any opportunistic infection among HIV positive individuals on antiretroviral therapy in Uganda Rubaihayo, John Tumwesigye, Nazarius M. Konde-Lule, Joseph Makumbi, Fredrick BMC Public Health Research Article BACKGROUND: Predicting future prevalence of any opportunistic infection (OI) among persons infected with the human immunodeficiency virus (HIV) on highly active antiretroviral therapy (HAART) in resource poor settings is important for proper planning, advocacy and resource allocation. We conducted a study to forecast 5-years prevalence of any OI among HIV-infected individuals on HAART in Uganda. METHODS: Monthly observational data collected over a 10-years period (2004–2013) by the AIDS support organization (TASO) in Uganda were used to forecast 5-years annual prevalence of any OI covering the period 2014–2018. The OIs considered include 14 AIDS-defining OIs, two non-AIDS defining OIs (malaria & geohelminths) and HIV-associated Kaposi’s sarcoma. Box-Jenkins autoregressive integrated moving average (ARIMA) forecasting methodology was used. RESULTS: Between 2004 and 2013, a total of 36,133 HIV patients were enrolled on HAART of which two thirds (66 %) were female. Mean annual prevalence for any OI in 2004 was 57.6 % and in 2013 was 27.5 % (X(2)(trend) = 122, b = −0.0283, p <0.0001). ARIMA (1, 1, 1) model was the most parsimonious and best fit for the data. The forecasted mean annual prevalence of any OI was 26.1 % (95 % CI 21.1–31.0 %) in 2014 and 15.3 % (95 % CI 10.4–20.3 %) in 2018. CONCLUSIONS: While the prevalence of any OI among HIV positive individuals on HAART in Uganda is expected to decrease overall, it’s unlikely that OIs will be completely eliminated in the foreseeable future. There is therefore need for continued efforts in prevention and control of opportunistic infections in all HIV/AIDS care programmes in these settings. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-016-3455-5) contains supplementary material, which is available to authorized users. BioMed Central 2016-08-11 /pmc/articles/PMC4982438/ /pubmed/27515983 http://dx.doi.org/10.1186/s12889-016-3455-5 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Rubaihayo, John
Tumwesigye, Nazarius M.
Konde-Lule, Joseph
Makumbi, Fredrick
Forecast analysis of any opportunistic infection among HIV positive individuals on antiretroviral therapy in Uganda
title Forecast analysis of any opportunistic infection among HIV positive individuals on antiretroviral therapy in Uganda
title_full Forecast analysis of any opportunistic infection among HIV positive individuals on antiretroviral therapy in Uganda
title_fullStr Forecast analysis of any opportunistic infection among HIV positive individuals on antiretroviral therapy in Uganda
title_full_unstemmed Forecast analysis of any opportunistic infection among HIV positive individuals on antiretroviral therapy in Uganda
title_short Forecast analysis of any opportunistic infection among HIV positive individuals on antiretroviral therapy in Uganda
title_sort forecast analysis of any opportunistic infection among hiv positive individuals on antiretroviral therapy in uganda
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4982438/
https://www.ncbi.nlm.nih.gov/pubmed/27515983
http://dx.doi.org/10.1186/s12889-016-3455-5
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