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Predictors of residual antimalarial drugs in the blood in community surveys in Tanzania

BACKGROUND: Understanding pattern of antimalarials use at large scale helps ensuring appropriate use of treatments and preventing the spread of resistant parasites. We estimated the proportion of individuals in community surveys with residual antimalarials in their blood and identified the factors a...

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Autores principales: Gallay, Joanna, Pothin, Emilie, Mosha, Dominic, Lutahakana, Erick, Mazuguni, Festo, Zuakulu, Martin, Decosterd, Laurent Arthur, Genton, Blaise
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6128528/
https://www.ncbi.nlm.nih.gov/pubmed/30192770
http://dx.doi.org/10.1371/journal.pone.0202745
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author Gallay, Joanna
Pothin, Emilie
Mosha, Dominic
Lutahakana, Erick
Mazuguni, Festo
Zuakulu, Martin
Decosterd, Laurent Arthur
Genton, Blaise
author_facet Gallay, Joanna
Pothin, Emilie
Mosha, Dominic
Lutahakana, Erick
Mazuguni, Festo
Zuakulu, Martin
Decosterd, Laurent Arthur
Genton, Blaise
author_sort Gallay, Joanna
collection PubMed
description BACKGROUND: Understanding pattern of antimalarials use at large scale helps ensuring appropriate use of treatments and preventing the spread of resistant parasites. We estimated the proportion of individuals in community surveys with residual antimalarials in their blood and identified the factors associated with the presence of the most commonly detected drugs, lumefantrine and/or desbutyl-lumefantrine (LF/DLF) or sulfadoxine-pyrimethamine (SP). METHODS: A cross-sectional survey was conducted in 2015 in three regions of Tanzania with different levels of malaria endemicity. Interviews were conducted and blood samples collected through household surveys for further antimalarial measurements using liquid chromatography coupled to tandem mass spectrometry. In addition, diagnosis and treatment availability was investigated through outlet surveys. Multilevel mixed effects logistic regression models were used to estimate odds ratios for having LF/DLF or SP in the blood. RESULTS: Amongst 6391 participants, 12.4% (792/6391) had LF/DLF and 8.0% (510/6391) SP in the blood. Factors associated with higher odds of detecting LF/DLF in the blood included fever in the previous two weeks (OR = 2.6, p<0.001), living in districts of higher malaria prevalence (OR = 1.5, p<0.001) and living in a ward in which all visited drug stores had artemisinin-based combination therapies in stocks (OR = 2.7, p = 0.020). Participants in older age groups were less likely to have LF/DLF in the blood (OR = 0.9, p<0.001). Factors associated with higher odds of having SP in the blood included being pregnant (OR = 4.6, p<0.001), living in Mwanza (OR = 3.9, p<0.001 compared to Mbeya), fever in the previous two weeks (OR = 1.7, p<0.001) and belonging to older age groups (OR = 1.2, p<0.001). CONCLUSION: The most significant predictors identified were expected. History of fever in the past two weeks and young age were significant predictors of LF/DLF in the blood, which is encouraging. Antimalarial drug pressure was high and hence the use of recommended first-line drugs in combination with malaria Rapid Diagnostics Tests should be promoted to ensure appropriate treatment.
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spelling pubmed-61285282018-09-15 Predictors of residual antimalarial drugs in the blood in community surveys in Tanzania Gallay, Joanna Pothin, Emilie Mosha, Dominic Lutahakana, Erick Mazuguni, Festo Zuakulu, Martin Decosterd, Laurent Arthur Genton, Blaise PLoS One Research Article BACKGROUND: Understanding pattern of antimalarials use at large scale helps ensuring appropriate use of treatments and preventing the spread of resistant parasites. We estimated the proportion of individuals in community surveys with residual antimalarials in their blood and identified the factors associated with the presence of the most commonly detected drugs, lumefantrine and/or desbutyl-lumefantrine (LF/DLF) or sulfadoxine-pyrimethamine (SP). METHODS: A cross-sectional survey was conducted in 2015 in three regions of Tanzania with different levels of malaria endemicity. Interviews were conducted and blood samples collected through household surveys for further antimalarial measurements using liquid chromatography coupled to tandem mass spectrometry. In addition, diagnosis and treatment availability was investigated through outlet surveys. Multilevel mixed effects logistic regression models were used to estimate odds ratios for having LF/DLF or SP in the blood. RESULTS: Amongst 6391 participants, 12.4% (792/6391) had LF/DLF and 8.0% (510/6391) SP in the blood. Factors associated with higher odds of detecting LF/DLF in the blood included fever in the previous two weeks (OR = 2.6, p<0.001), living in districts of higher malaria prevalence (OR = 1.5, p<0.001) and living in a ward in which all visited drug stores had artemisinin-based combination therapies in stocks (OR = 2.7, p = 0.020). Participants in older age groups were less likely to have LF/DLF in the blood (OR = 0.9, p<0.001). Factors associated with higher odds of having SP in the blood included being pregnant (OR = 4.6, p<0.001), living in Mwanza (OR = 3.9, p<0.001 compared to Mbeya), fever in the previous two weeks (OR = 1.7, p<0.001) and belonging to older age groups (OR = 1.2, p<0.001). CONCLUSION: The most significant predictors identified were expected. History of fever in the past two weeks and young age were significant predictors of LF/DLF in the blood, which is encouraging. Antimalarial drug pressure was high and hence the use of recommended first-line drugs in combination with malaria Rapid Diagnostics Tests should be promoted to ensure appropriate treatment. Public Library of Science 2018-09-07 /pmc/articles/PMC6128528/ /pubmed/30192770 http://dx.doi.org/10.1371/journal.pone.0202745 Text en © 2018 Gallay et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Gallay, Joanna
Pothin, Emilie
Mosha, Dominic
Lutahakana, Erick
Mazuguni, Festo
Zuakulu, Martin
Decosterd, Laurent Arthur
Genton, Blaise
Predictors of residual antimalarial drugs in the blood in community surveys in Tanzania
title Predictors of residual antimalarial drugs in the blood in community surveys in Tanzania
title_full Predictors of residual antimalarial drugs in the blood in community surveys in Tanzania
title_fullStr Predictors of residual antimalarial drugs in the blood in community surveys in Tanzania
title_full_unstemmed Predictors of residual antimalarial drugs in the blood in community surveys in Tanzania
title_short Predictors of residual antimalarial drugs in the blood in community surveys in Tanzania
title_sort predictors of residual antimalarial drugs in the blood in community surveys in tanzania
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6128528/
https://www.ncbi.nlm.nih.gov/pubmed/30192770
http://dx.doi.org/10.1371/journal.pone.0202745
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