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Prevalence and Predictors of Malaria in Human Immunodeficiency Virus Infected Patients in Beira, Mozambique

Co-infection between malaria and HIV has major public health implications. The aims of this study were to assess the malaria prevalence and to identify predictors of positivity to malaria Test in HIV positive patients admitted to the health center São Lucas of Beira, Mozambique. A retrospective cros...

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Autores principales: Di Gennaro, Francesco, Marotta, Claudia, Pizzol, Damiano, Chhaganlal, Kajal, Monno, Laura, Putoto, Giovanni, Saracino, Annalisa, Casuccio, Alessandra, Mazzucco, Walter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163722/
https://www.ncbi.nlm.nih.gov/pubmed/30227677
http://dx.doi.org/10.3390/ijerph15092032
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author Di Gennaro, Francesco
Marotta, Claudia
Pizzol, Damiano
Chhaganlal, Kajal
Monno, Laura
Putoto, Giovanni
Saracino, Annalisa
Casuccio, Alessandra
Mazzucco, Walter
author_facet Di Gennaro, Francesco
Marotta, Claudia
Pizzol, Damiano
Chhaganlal, Kajal
Monno, Laura
Putoto, Giovanni
Saracino, Annalisa
Casuccio, Alessandra
Mazzucco, Walter
author_sort Di Gennaro, Francesco
collection PubMed
description Co-infection between malaria and HIV has major public health implications. The aims of this study were to assess the malaria prevalence and to identify predictors of positivity to malaria Test in HIV positive patients admitted to the health center São Lucas of Beira, Mozambique. A retrospective cross-sectional study was performed from January 2016 to December 2016. Overall, 701 adult HIV patients were enrolled, positivity to malaria test was found in 232 (33.0%). These patients were found to be more frequently unemployed (76.3%), aged under 40 (72.0%), with a HIV positive partner (22.4%) and with a CD4 cell count <200 (59.9%). The following variables were predictors of malaria: age under 40 (O.R. = 1.56; 95%CI: 1.22–2.08), being unemployed (O.R. = 1.74; 95%CI: 1.24–2.21), irregularity of cotrimoxazole prophylaxis’s (O.R. = 1.42; 95%CI: 1.10–1.78), CD4 cell count <200 (O.R. = 2.01; 95%CI: 1.42–2.32) and tuberculosis comorbidity (O.R. = 1.58; 95%CI: 1.17–2.79). In conclusion, high malaria prevalence was found in HIV patients accessing the out-patients centre of São Lucas of Beira. Our findings allowed us to identify the profile of HIV patients needing more medical attention: young adults, unemployed, with a low CD4 cell count and irregularly accessing to ART and cotrimoxazole prophylaxis.
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spelling pubmed-61637222018-10-12 Prevalence and Predictors of Malaria in Human Immunodeficiency Virus Infected Patients in Beira, Mozambique Di Gennaro, Francesco Marotta, Claudia Pizzol, Damiano Chhaganlal, Kajal Monno, Laura Putoto, Giovanni Saracino, Annalisa Casuccio, Alessandra Mazzucco, Walter Int J Environ Res Public Health Article Co-infection between malaria and HIV has major public health implications. The aims of this study were to assess the malaria prevalence and to identify predictors of positivity to malaria Test in HIV positive patients admitted to the health center São Lucas of Beira, Mozambique. A retrospective cross-sectional study was performed from January 2016 to December 2016. Overall, 701 adult HIV patients were enrolled, positivity to malaria test was found in 232 (33.0%). These patients were found to be more frequently unemployed (76.3%), aged under 40 (72.0%), with a HIV positive partner (22.4%) and with a CD4 cell count <200 (59.9%). The following variables were predictors of malaria: age under 40 (O.R. = 1.56; 95%CI: 1.22–2.08), being unemployed (O.R. = 1.74; 95%CI: 1.24–2.21), irregularity of cotrimoxazole prophylaxis’s (O.R. = 1.42; 95%CI: 1.10–1.78), CD4 cell count <200 (O.R. = 2.01; 95%CI: 1.42–2.32) and tuberculosis comorbidity (O.R. = 1.58; 95%CI: 1.17–2.79). In conclusion, high malaria prevalence was found in HIV patients accessing the out-patients centre of São Lucas of Beira. Our findings allowed us to identify the profile of HIV patients needing more medical attention: young adults, unemployed, with a low CD4 cell count and irregularly accessing to ART and cotrimoxazole prophylaxis. MDPI 2018-09-17 2018-09 /pmc/articles/PMC6163722/ /pubmed/30227677 http://dx.doi.org/10.3390/ijerph15092032 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Di Gennaro, Francesco
Marotta, Claudia
Pizzol, Damiano
Chhaganlal, Kajal
Monno, Laura
Putoto, Giovanni
Saracino, Annalisa
Casuccio, Alessandra
Mazzucco, Walter
Prevalence and Predictors of Malaria in Human Immunodeficiency Virus Infected Patients in Beira, Mozambique
title Prevalence and Predictors of Malaria in Human Immunodeficiency Virus Infected Patients in Beira, Mozambique
title_full Prevalence and Predictors of Malaria in Human Immunodeficiency Virus Infected Patients in Beira, Mozambique
title_fullStr Prevalence and Predictors of Malaria in Human Immunodeficiency Virus Infected Patients in Beira, Mozambique
title_full_unstemmed Prevalence and Predictors of Malaria in Human Immunodeficiency Virus Infected Patients in Beira, Mozambique
title_short Prevalence and Predictors of Malaria in Human Immunodeficiency Virus Infected Patients in Beira, Mozambique
title_sort prevalence and predictors of malaria in human immunodeficiency virus infected patients in beira, mozambique
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163722/
https://www.ncbi.nlm.nih.gov/pubmed/30227677
http://dx.doi.org/10.3390/ijerph15092032
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