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Characterisation of populations at risk of sub-optimal dosing of artemisinin-based combination therapy in Africa

Selection of resistant malaria strains occurs when parasites are exposed to inadequate antimalarial drug concentrations. The proportion of uncomplicated falciparum malaria patients at risk of being sub-optimally dosed with the current World Health Organization (WHO) recommended artemisinin-based com...

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Autores principales: Takyi, Abena, Carrara, Verena I., Dahal, Prabin, Przybylska, Marianna, Harriss, Eli, Insaidoo, Genevieve, Barnes, Karen I., Guerin, Philippe J., Stepniewska, Kasia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10691722/
https://www.ncbi.nlm.nih.gov/pubmed/38039291
http://dx.doi.org/10.1371/journal.pgph.0002059
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author Takyi, Abena
Carrara, Verena I.
Dahal, Prabin
Przybylska, Marianna
Harriss, Eli
Insaidoo, Genevieve
Barnes, Karen I.
Guerin, Philippe J.
Stepniewska, Kasia
author_facet Takyi, Abena
Carrara, Verena I.
Dahal, Prabin
Przybylska, Marianna
Harriss, Eli
Insaidoo, Genevieve
Barnes, Karen I.
Guerin, Philippe J.
Stepniewska, Kasia
author_sort Takyi, Abena
collection PubMed
description Selection of resistant malaria strains occurs when parasites are exposed to inadequate antimalarial drug concentrations. The proportion of uncomplicated falciparum malaria patients at risk of being sub-optimally dosed with the current World Health Organization (WHO) recommended artemisinin-based combination therapies (ACTs) is unknown. This study aims to estimate this proportion and the excess number of treatment failures (recrudescences) associated with sub-optimal dosing in Sub-Saharan Africa. Sub-populations at risk of sub-optimal dosing include wasted children <5 years of age, patients with hyperparasitaemia, pregnant women, people living with HIV, and overweight adults. Country-level data on population structure were extracted from openly accessible data sources. Pooled adjusted Hazard Ratios for PCR-confirmed recrudescence were estimated for each risk group from published meta-analyses using fixed-effect meta-analysis. In 2020, of the estimated 153.1 million uncomplicated P. falciparum malaria patients in Africa, the largest risk groups were the hyperparasitaemic patients (13.2 million, 8.6% of uncomplicated malaria cases) and overweight adults (10.3 million, 6.7% of uncomplicated cases). The estimated excess total number of treatment failures ranged from 0.338 million for a 98% baseline ACT efficacy to 1.352 million for a 92% baseline ACT efficacy. Our study shows that an estimated nearly 1 in 4 people with uncomplicated confirmed P. falciparum malaria in Africa are at risk of receiving a sub-optimal antimalarial drug dosing. This increases the risk of antimalarial drug resistance and poses a serious threat to malaria control and elimination efforts. Changes in antimalarial dosing or treatment duration of current antimalarials may be needed and new antimalarials development should ensure sufficient drug concentration levels in these sub-populations that carry a high malaria burden.
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spelling pubmed-106917222023-12-02 Characterisation of populations at risk of sub-optimal dosing of artemisinin-based combination therapy in Africa Takyi, Abena Carrara, Verena I. Dahal, Prabin Przybylska, Marianna Harriss, Eli Insaidoo, Genevieve Barnes, Karen I. Guerin, Philippe J. Stepniewska, Kasia PLOS Glob Public Health Research Article Selection of resistant malaria strains occurs when parasites are exposed to inadequate antimalarial drug concentrations. The proportion of uncomplicated falciparum malaria patients at risk of being sub-optimally dosed with the current World Health Organization (WHO) recommended artemisinin-based combination therapies (ACTs) is unknown. This study aims to estimate this proportion and the excess number of treatment failures (recrudescences) associated with sub-optimal dosing in Sub-Saharan Africa. Sub-populations at risk of sub-optimal dosing include wasted children <5 years of age, patients with hyperparasitaemia, pregnant women, people living with HIV, and overweight adults. Country-level data on population structure were extracted from openly accessible data sources. Pooled adjusted Hazard Ratios for PCR-confirmed recrudescence were estimated for each risk group from published meta-analyses using fixed-effect meta-analysis. In 2020, of the estimated 153.1 million uncomplicated P. falciparum malaria patients in Africa, the largest risk groups were the hyperparasitaemic patients (13.2 million, 8.6% of uncomplicated malaria cases) and overweight adults (10.3 million, 6.7% of uncomplicated cases). The estimated excess total number of treatment failures ranged from 0.338 million for a 98% baseline ACT efficacy to 1.352 million for a 92% baseline ACT efficacy. Our study shows that an estimated nearly 1 in 4 people with uncomplicated confirmed P. falciparum malaria in Africa are at risk of receiving a sub-optimal antimalarial drug dosing. This increases the risk of antimalarial drug resistance and poses a serious threat to malaria control and elimination efforts. Changes in antimalarial dosing or treatment duration of current antimalarials may be needed and new antimalarials development should ensure sufficient drug concentration levels in these sub-populations that carry a high malaria burden. Public Library of Science 2023-12-01 /pmc/articles/PMC10691722/ /pubmed/38039291 http://dx.doi.org/10.1371/journal.pgph.0002059 Text en © 2023 Takyi et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://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
Takyi, Abena
Carrara, Verena I.
Dahal, Prabin
Przybylska, Marianna
Harriss, Eli
Insaidoo, Genevieve
Barnes, Karen I.
Guerin, Philippe J.
Stepniewska, Kasia
Characterisation of populations at risk of sub-optimal dosing of artemisinin-based combination therapy in Africa
title Characterisation of populations at risk of sub-optimal dosing of artemisinin-based combination therapy in Africa
title_full Characterisation of populations at risk of sub-optimal dosing of artemisinin-based combination therapy in Africa
title_fullStr Characterisation of populations at risk of sub-optimal dosing of artemisinin-based combination therapy in Africa
title_full_unstemmed Characterisation of populations at risk of sub-optimal dosing of artemisinin-based combination therapy in Africa
title_short Characterisation of populations at risk of sub-optimal dosing of artemisinin-based combination therapy in Africa
title_sort characterisation of populations at risk of sub-optimal dosing of artemisinin-based combination therapy in africa
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10691722/
https://www.ncbi.nlm.nih.gov/pubmed/38039291
http://dx.doi.org/10.1371/journal.pgph.0002059
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