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The prevalence of malaria in people living with HIV in Yaounde, Cameroon
BACKGROUND: Coinfection with malaria and HIV is common in Sub-Saharan Africa. In the advent of a decline in the global incidence of malaria, it is important to generate updated data on the burden of malaria in people living with HIV (PLWHIV). This study was designed to determine the prevalence of ma...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5376676/ https://www.ncbi.nlm.nih.gov/pubmed/27619013 http://dx.doi.org/10.1186/s12889-016-3647-z |
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author | Njunda, Anna Longdoh Njumkeng, Charles Nsagha, Shey Dickson Assob, Jules Clement Nguedia Kwenti, Tebit Emmanuel |
author_facet | Njunda, Anna Longdoh Njumkeng, Charles Nsagha, Shey Dickson Assob, Jules Clement Nguedia Kwenti, Tebit Emmanuel |
author_sort | Njunda, Anna Longdoh |
collection | PubMed |
description | BACKGROUND: Coinfection with malaria and HIV is common in Sub-Saharan Africa. In the advent of a decline in the global incidence of malaria, it is important to generate updated data on the burden of malaria in people living with HIV (PLWHIV). This study was designed to determine the prevalence of malaria in PLWHIV in Yaounde, Cameroon, as well determine the association between CD(4) (+) T cell count and malaria in the study population. METHODS: In a cross sectional study performed between April 2015 and June 2016, 355 PLWHIV were enrolled and blood samples were collected for analysis. Complete blood count was performed using an automated haematology analyser (Mindray®, BC-2800) and CD(4) (+) T cell count was performed using a flow cytometer (BD FASCount™). Giemsa-stained blood films were examined to detect malaria parasite. The Pearson’s chi-square, student’s T-test, ANOVA, and correlation analysis were all performed as part of the statistical analyses. RESULTS: The prevalence of malaria observed in the study was 7.3 % (95 % CI: 4.8–10.6). No significant association was observed between the prevalence of malaria and age or gender. The prevalence of malaria was higher in participants who were not sleeping in insecticide treated bed nets, ITNs (p < 0.001); and in participants who were not on cotrimoxazole prophylaxis (p = 0.002). The prevalence of malaria (p < 0.001) and malaria parasite density (p = 0.005) were observed to be progressively higher in participants with CD(4) (+) T cell count below 200cells/μl. Furthermore, the mean CD(4) (+) T cell count was observed to be lower in participants coinfected with malaria compared to non-coinfected participants (323.5 vs 517.7) (p < 0.001). In this study, a negative correlation was observed between malaria parasite density and CD(4) (+) T cell count (p = 0.019). CONCLUSIONS: A low prevalence of malaria was observed in the study population. Some of the factors accounting for the low prevalence of malaria in this study population may include the health seeking habit of PLWHIV, the use of cotrimoxazole based chemoprophylaxis, and their cautious use of ITNs. |
format | Online Article Text |
id | pubmed-5376676 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-53766762017-04-07 The prevalence of malaria in people living with HIV in Yaounde, Cameroon Njunda, Anna Longdoh Njumkeng, Charles Nsagha, Shey Dickson Assob, Jules Clement Nguedia Kwenti, Tebit Emmanuel BMC Public Health Research Article BACKGROUND: Coinfection with malaria and HIV is common in Sub-Saharan Africa. In the advent of a decline in the global incidence of malaria, it is important to generate updated data on the burden of malaria in people living with HIV (PLWHIV). This study was designed to determine the prevalence of malaria in PLWHIV in Yaounde, Cameroon, as well determine the association between CD(4) (+) T cell count and malaria in the study population. METHODS: In a cross sectional study performed between April 2015 and June 2016, 355 PLWHIV were enrolled and blood samples were collected for analysis. Complete blood count was performed using an automated haematology analyser (Mindray®, BC-2800) and CD(4) (+) T cell count was performed using a flow cytometer (BD FASCount™). Giemsa-stained blood films were examined to detect malaria parasite. The Pearson’s chi-square, student’s T-test, ANOVA, and correlation analysis were all performed as part of the statistical analyses. RESULTS: The prevalence of malaria observed in the study was 7.3 % (95 % CI: 4.8–10.6). No significant association was observed between the prevalence of malaria and age or gender. The prevalence of malaria was higher in participants who were not sleeping in insecticide treated bed nets, ITNs (p < 0.001); and in participants who were not on cotrimoxazole prophylaxis (p = 0.002). The prevalence of malaria (p < 0.001) and malaria parasite density (p = 0.005) were observed to be progressively higher in participants with CD(4) (+) T cell count below 200cells/μl. Furthermore, the mean CD(4) (+) T cell count was observed to be lower in participants coinfected with malaria compared to non-coinfected participants (323.5 vs 517.7) (p < 0.001). In this study, a negative correlation was observed between malaria parasite density and CD(4) (+) T cell count (p = 0.019). CONCLUSIONS: A low prevalence of malaria was observed in the study population. Some of the factors accounting for the low prevalence of malaria in this study population may include the health seeking habit of PLWHIV, the use of cotrimoxazole based chemoprophylaxis, and their cautious use of ITNs. BioMed Central 2016-09-13 /pmc/articles/PMC5376676/ /pubmed/27619013 http://dx.doi.org/10.1186/s12889-016-3647-z 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 Njunda, Anna Longdoh Njumkeng, Charles Nsagha, Shey Dickson Assob, Jules Clement Nguedia Kwenti, Tebit Emmanuel The prevalence of malaria in people living with HIV in Yaounde, Cameroon |
title | The prevalence of malaria in people living with HIV in Yaounde, Cameroon |
title_full | The prevalence of malaria in people living with HIV in Yaounde, Cameroon |
title_fullStr | The prevalence of malaria in people living with HIV in Yaounde, Cameroon |
title_full_unstemmed | The prevalence of malaria in people living with HIV in Yaounde, Cameroon |
title_short | The prevalence of malaria in people living with HIV in Yaounde, Cameroon |
title_sort | prevalence of malaria in people living with hiv in yaounde, cameroon |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5376676/ https://www.ncbi.nlm.nih.gov/pubmed/27619013 http://dx.doi.org/10.1186/s12889-016-3647-z |
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