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Clinical Features of Severe Malaria Associated with Death: A 13-Year Observational Study in The Gambia

BACKGROUND: Severe malaria (SM) is a major cause of death in sub-Saharan Africa. Identification of both specific and sensitive clinical features to predict death is needed to improve clinical management. METHODS: A 13-year observational study was conducted from 1997 through 2009 of 2,901 children wi...

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Autores principales: Jallow, Muminatou, Casals-Pascual, Climent, Ackerman, Hans, Walther, Brigitte, Walther, Michael, Pinder, Margaret, Sisay-Joof, Fatou, Usen, Stanley, Jallow, Mariatou, Abubakar, Ismaela, Olaosebikan, Rasaq, Jobarteh, Aminata, Conway, David J., Bojang, Kalifa, Kwiatkowski, Dominic
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3460946/
https://www.ncbi.nlm.nih.gov/pubmed/23029157
http://dx.doi.org/10.1371/journal.pone.0045645
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author Jallow, Muminatou
Casals-Pascual, Climent
Ackerman, Hans
Walther, Brigitte
Walther, Michael
Pinder, Margaret
Sisay-Joof, Fatou
Usen, Stanley
Jallow, Mariatou
Abubakar, Ismaela
Olaosebikan, Rasaq
Jobarteh, Aminata
Conway, David J.
Bojang, Kalifa
Kwiatkowski, Dominic
author_facet Jallow, Muminatou
Casals-Pascual, Climent
Ackerman, Hans
Walther, Brigitte
Walther, Michael
Pinder, Margaret
Sisay-Joof, Fatou
Usen, Stanley
Jallow, Mariatou
Abubakar, Ismaela
Olaosebikan, Rasaq
Jobarteh, Aminata
Conway, David J.
Bojang, Kalifa
Kwiatkowski, Dominic
author_sort Jallow, Muminatou
collection PubMed
description BACKGROUND: Severe malaria (SM) is a major cause of death in sub-Saharan Africa. Identification of both specific and sensitive clinical features to predict death is needed to improve clinical management. METHODS: A 13-year observational study was conducted from 1997 through 2009 of 2,901 children with SM enrolled at the Royal Victoria Teaching Hospital in The Gambia to identify sensitive and specific predictors of poor outcome in Gambian children with severe malaria between the ages 4 months to 14 years. We have measured the sensitivity and specificity of clinical features that predict death or development of neurological sequelae. FINDINGS: Impaired consciousness (odds ratio {OR} 4.4 [95% confidence interval {CI}, 2.7–7.3]), respiratory distress (OR 2.4 [95%CI, 1.7–3.2]), hypoglycemia (OR 1.7 [95%CI, 1.2–2.3]), jaundice (OR 1.9 [95%CI, 1.2–2.9]) and renal failure (OR 11.1 [95%CI, 3.3–36.5]) were independently associated with death in children with SM. The clinical features that showed the highest sensitivity and specificity to predict death were respiratory distress (area under the curve 0.63 [95%CI, 0.60–0.65]) and impaired consciousness (AUC 0.61[95%CI, 0.59–0.63]), which were comparable to the ability of hyperlactatemia (blood lactate>5 mM) to predict death (AUC 0.64 [95%CI, 0.55–0.72]). A Blantyre coma score (BCS) of 2 or less had a sensitivity of 74% and specificity of 67% to predict death (AUC 0.70 [95% C.I. 0.68–0.72]), and sensitivity and specificity of 74% and 69%, respectively to predict development of neurological sequelae (AUC 0.72 [95% CI, 0.67–0.76]).The specificity of this BCS threshold to identify children at risk of dying improved in children less than 3 years of age (AUC 0.74, [95% C.I 0.71–0.76]). CONCLUSION: The BCS is a quantitative predictor of death. A BCS of 2 or less is the most sensitive and specific clinical feature to predict death or development of neurological sequelae in children with SM.
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spelling pubmed-34609462012-10-01 Clinical Features of Severe Malaria Associated with Death: A 13-Year Observational Study in The Gambia Jallow, Muminatou Casals-Pascual, Climent Ackerman, Hans Walther, Brigitte Walther, Michael Pinder, Margaret Sisay-Joof, Fatou Usen, Stanley Jallow, Mariatou Abubakar, Ismaela Olaosebikan, Rasaq Jobarteh, Aminata Conway, David J. Bojang, Kalifa Kwiatkowski, Dominic PLoS One Research Article BACKGROUND: Severe malaria (SM) is a major cause of death in sub-Saharan Africa. Identification of both specific and sensitive clinical features to predict death is needed to improve clinical management. METHODS: A 13-year observational study was conducted from 1997 through 2009 of 2,901 children with SM enrolled at the Royal Victoria Teaching Hospital in The Gambia to identify sensitive and specific predictors of poor outcome in Gambian children with severe malaria between the ages 4 months to 14 years. We have measured the sensitivity and specificity of clinical features that predict death or development of neurological sequelae. FINDINGS: Impaired consciousness (odds ratio {OR} 4.4 [95% confidence interval {CI}, 2.7–7.3]), respiratory distress (OR 2.4 [95%CI, 1.7–3.2]), hypoglycemia (OR 1.7 [95%CI, 1.2–2.3]), jaundice (OR 1.9 [95%CI, 1.2–2.9]) and renal failure (OR 11.1 [95%CI, 3.3–36.5]) were independently associated with death in children with SM. The clinical features that showed the highest sensitivity and specificity to predict death were respiratory distress (area under the curve 0.63 [95%CI, 0.60–0.65]) and impaired consciousness (AUC 0.61[95%CI, 0.59–0.63]), which were comparable to the ability of hyperlactatemia (blood lactate>5 mM) to predict death (AUC 0.64 [95%CI, 0.55–0.72]). A Blantyre coma score (BCS) of 2 or less had a sensitivity of 74% and specificity of 67% to predict death (AUC 0.70 [95% C.I. 0.68–0.72]), and sensitivity and specificity of 74% and 69%, respectively to predict development of neurological sequelae (AUC 0.72 [95% CI, 0.67–0.76]).The specificity of this BCS threshold to identify children at risk of dying improved in children less than 3 years of age (AUC 0.74, [95% C.I 0.71–0.76]). CONCLUSION: The BCS is a quantitative predictor of death. A BCS of 2 or less is the most sensitive and specific clinical feature to predict death or development of neurological sequelae in children with SM. Public Library of Science 2012-09-28 /pmc/articles/PMC3460946/ /pubmed/23029157 http://dx.doi.org/10.1371/journal.pone.0045645 Text en © 2012 Jallow 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Jallow, Muminatou
Casals-Pascual, Climent
Ackerman, Hans
Walther, Brigitte
Walther, Michael
Pinder, Margaret
Sisay-Joof, Fatou
Usen, Stanley
Jallow, Mariatou
Abubakar, Ismaela
Olaosebikan, Rasaq
Jobarteh, Aminata
Conway, David J.
Bojang, Kalifa
Kwiatkowski, Dominic
Clinical Features of Severe Malaria Associated with Death: A 13-Year Observational Study in The Gambia
title Clinical Features of Severe Malaria Associated with Death: A 13-Year Observational Study in The Gambia
title_full Clinical Features of Severe Malaria Associated with Death: A 13-Year Observational Study in The Gambia
title_fullStr Clinical Features of Severe Malaria Associated with Death: A 13-Year Observational Study in The Gambia
title_full_unstemmed Clinical Features of Severe Malaria Associated with Death: A 13-Year Observational Study in The Gambia
title_short Clinical Features of Severe Malaria Associated with Death: A 13-Year Observational Study in The Gambia
title_sort clinical features of severe malaria associated with death: a 13-year observational study in the gambia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3460946/
https://www.ncbi.nlm.nih.gov/pubmed/23029157
http://dx.doi.org/10.1371/journal.pone.0045645
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