Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Njunda, Anna Longdoh, Njumkeng, Charles, Nsagha, Shey Dickson, Assob, Jules Clement Nguedia, Kwenti, Tebit Emmanuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
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
_version_ 1782519197134225408
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
work_keys_str_mv AT njundaannalongdoh theprevalenceofmalariainpeoplelivingwithhivinyaoundecameroon
AT njumkengcharles theprevalenceofmalariainpeoplelivingwithhivinyaoundecameroon
AT nsaghasheydickson theprevalenceofmalariainpeoplelivingwithhivinyaoundecameroon
AT assobjulesclementnguedia theprevalenceofmalariainpeoplelivingwithhivinyaoundecameroon
AT kwentitebitemmanuel theprevalenceofmalariainpeoplelivingwithhivinyaoundecameroon
AT njundaannalongdoh prevalenceofmalariainpeoplelivingwithhivinyaoundecameroon
AT njumkengcharles prevalenceofmalariainpeoplelivingwithhivinyaoundecameroon
AT nsaghasheydickson prevalenceofmalariainpeoplelivingwithhivinyaoundecameroon
AT assobjulesclementnguedia prevalenceofmalariainpeoplelivingwithhivinyaoundecameroon
AT kwentitebitemmanuel prevalenceofmalariainpeoplelivingwithhivinyaoundecameroon