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Malaria in rural Mozambique. Part II: children admitted to hospital

BACKGROUND: Characterization of severe malaria cases on arrival to hospital may lead to early recognition and improved management. Minimum community based-incidence rates (MCBIRs) complement hospital data, describing the malaria burden in the community. METHODS: A retrospective analysis of all admit...

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Autores principales: Bassat, Quique, Guinovart, Caterina, Sigaúque, Betuel, Aide, Pedro, Sacarlal, Jahit, Nhampossa, Tacilta, Bardají, Azucena, Nhacolo, Ariel, Macete, Eusébio, Mandomando, Inácio, Aponte, John J, Menéndez, Clara, Alonso, Pedro L
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2275288/
https://www.ncbi.nlm.nih.gov/pubmed/18302771
http://dx.doi.org/10.1186/1475-2875-7-37
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author Bassat, Quique
Guinovart, Caterina
Sigaúque, Betuel
Aide, Pedro
Sacarlal, Jahit
Nhampossa, Tacilta
Bardají, Azucena
Nhacolo, Ariel
Macete, Eusébio
Mandomando, Inácio
Aponte, John J
Menéndez, Clara
Alonso, Pedro L
author_facet Bassat, Quique
Guinovart, Caterina
Sigaúque, Betuel
Aide, Pedro
Sacarlal, Jahit
Nhampossa, Tacilta
Bardají, Azucena
Nhacolo, Ariel
Macete, Eusébio
Mandomando, Inácio
Aponte, John J
Menéndez, Clara
Alonso, Pedro L
author_sort Bassat, Quique
collection PubMed
description BACKGROUND: Characterization of severe malaria cases on arrival to hospital may lead to early recognition and improved management. Minimum community based-incidence rates (MCBIRs) complement hospital data, describing the malaria burden in the community. METHODS: A retrospective analysis of all admitted malaria cases to a Mozambican rural hospital between June 2003 and May 2005 was conducted. Prevalence and case fatality rates (CFR) for each sign and symptom were calculated. Logistic regression was used to identify variables which were independent risk factors for death. MCBIRs for malaria and severe malaria were calculated using data from the Demographic Surveillance System. RESULTS: Almost half of the 8,311 patients admitted during the study period had malaria and 13,2% had severe malaria. Children under two years accounted for almost 60% of all malaria cases. CFR for malaria was 1.6% and for severe malaria 4.4%. Almost 19% of all paediatric hospital deaths were due to malaria. Prostration (55.0%), respiratory distress (41.1%) and severe anaemia (17.3%) were the most prevalent signs among severe malaria cases. Severe anaemia and inability to look for mother's breast were independent risk factors for death in infants younger than eight months. For children aged eight months to four years, the risk factors were malnutrition, hypoglycaemia, chest indrawing, inability to sit and a history of vomiting. MCBIRs for severe malaria cases were highest in children aged six months to two years of age. MCBIRs for severe malaria per 1,000 child years at risk for the whole study period were 27 in infants, 23 in children aged 1 to <5 years and two in children aged ≥5 years. CONCLUSION: Malaria remains the number one cause of admission in this area of rural Mozambique, predominantly affecting young children, which are also at higher risk of dying. Measures envisaged to protect children during their first two years of life are likely to have a greater impact than at any other age.
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spelling pubmed-22752882008-03-26 Malaria in rural Mozambique. Part II: children admitted to hospital Bassat, Quique Guinovart, Caterina Sigaúque, Betuel Aide, Pedro Sacarlal, Jahit Nhampossa, Tacilta Bardají, Azucena Nhacolo, Ariel Macete, Eusébio Mandomando, Inácio Aponte, John J Menéndez, Clara Alonso, Pedro L Malar J Research BACKGROUND: Characterization of severe malaria cases on arrival to hospital may lead to early recognition and improved management. Minimum community based-incidence rates (MCBIRs) complement hospital data, describing the malaria burden in the community. METHODS: A retrospective analysis of all admitted malaria cases to a Mozambican rural hospital between June 2003 and May 2005 was conducted. Prevalence and case fatality rates (CFR) for each sign and symptom were calculated. Logistic regression was used to identify variables which were independent risk factors for death. MCBIRs for malaria and severe malaria were calculated using data from the Demographic Surveillance System. RESULTS: Almost half of the 8,311 patients admitted during the study period had malaria and 13,2% had severe malaria. Children under two years accounted for almost 60% of all malaria cases. CFR for malaria was 1.6% and for severe malaria 4.4%. Almost 19% of all paediatric hospital deaths were due to malaria. Prostration (55.0%), respiratory distress (41.1%) and severe anaemia (17.3%) were the most prevalent signs among severe malaria cases. Severe anaemia and inability to look for mother's breast were independent risk factors for death in infants younger than eight months. For children aged eight months to four years, the risk factors were malnutrition, hypoglycaemia, chest indrawing, inability to sit and a history of vomiting. MCBIRs for severe malaria cases were highest in children aged six months to two years of age. MCBIRs for severe malaria per 1,000 child years at risk for the whole study period were 27 in infants, 23 in children aged 1 to <5 years and two in children aged ≥5 years. CONCLUSION: Malaria remains the number one cause of admission in this area of rural Mozambique, predominantly affecting young children, which are also at higher risk of dying. Measures envisaged to protect children during their first two years of life are likely to have a greater impact than at any other age. BioMed Central 2008-02-26 /pmc/articles/PMC2275288/ /pubmed/18302771 http://dx.doi.org/10.1186/1475-2875-7-37 Text en Copyright © 2008 Bassat et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Bassat, Quique
Guinovart, Caterina
Sigaúque, Betuel
Aide, Pedro
Sacarlal, Jahit
Nhampossa, Tacilta
Bardají, Azucena
Nhacolo, Ariel
Macete, Eusébio
Mandomando, Inácio
Aponte, John J
Menéndez, Clara
Alonso, Pedro L
Malaria in rural Mozambique. Part II: children admitted to hospital
title Malaria in rural Mozambique. Part II: children admitted to hospital
title_full Malaria in rural Mozambique. Part II: children admitted to hospital
title_fullStr Malaria in rural Mozambique. Part II: children admitted to hospital
title_full_unstemmed Malaria in rural Mozambique. Part II: children admitted to hospital
title_short Malaria in rural Mozambique. Part II: children admitted to hospital
title_sort malaria in rural mozambique. part ii: children admitted to hospital
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2275288/
https://www.ncbi.nlm.nih.gov/pubmed/18302771
http://dx.doi.org/10.1186/1475-2875-7-37
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