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Clinical and laboratory predictors of death in African children with features of severe malaria: a systematic review and meta-analysis

BACKGROUND: The criteria for defining severe malaria have evolved over the last 20 years. We aimed to assess the strength of association of death with features currently characterizing severe malaria through a systematic review and meta-analysis. METHOD: Electronic databases (Medline, Embase, Cochra...

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Autores principales: Sypniewska, Paulina, Duda, Jose F., Locatelli, Isabella, Althaus, Clotilde Rambaud, Althaus, Fabrice, Genton, Blaise
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5541406/
https://www.ncbi.nlm.nih.gov/pubmed/28768513
http://dx.doi.org/10.1186/s12916-017-0906-5
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author Sypniewska, Paulina
Duda, Jose F.
Locatelli, Isabella
Althaus, Clotilde Rambaud
Althaus, Fabrice
Genton, Blaise
author_facet Sypniewska, Paulina
Duda, Jose F.
Locatelli, Isabella
Althaus, Clotilde Rambaud
Althaus, Fabrice
Genton, Blaise
author_sort Sypniewska, Paulina
collection PubMed
description BACKGROUND: The criteria for defining severe malaria have evolved over the last 20 years. We aimed to assess the strength of association of death with features currently characterizing severe malaria through a systematic review and meta-analysis. METHOD: Electronic databases (Medline, Embase, Cochrane Database of Systematic Reviews, Thomson Reuters Web of Knowledge) were searched to identify publications including African children with severe malaria. PRISMA guidelines were followed. Selection was based on design (epidemiological, clinical and treatment studies), setting (Africa), participants (children < 15 years old with severe malaria), outcome (survival/death rate), and prognostic indicators (clinical and laboratory features). Quality assessment was performed following the criteria of the 2011 Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2). Odds ratios (ORs) were calculated for each study and prognostic indicator, and, when a test was assessed in at least two studies, pooled estimates of ORs were computed using fixed- or random-effects meta-analysis. RESULTS: A total of 601 articles were identified and screened and 30 publications were retained. Features with the highest pooled ORs were renal failure (5.96, 95% CI 2.93–12.11), coma score (4.83, 95% CI 3.11–7.5), hypoglycemia (4.59, 95% CI 2.68–7.89), shock (4.31, 95% CI 2.15–8.64), and deep breathing (3.8, 95% CI 3.29–4.39). Only half of the criteria had an OR > 2. Features with the lowest pooled ORs were impaired consciousness (0.58, 95% CI 0.25–1.37), severe anemia (0.76, 95% CI 0.5– 1.13), and prostration (1.12, 95% CI 0.45–2.82). CONCLUSION: The findings of this meta-analysis show that the strength of association between the criteria defining severe malaria and death is quite variable for each clinical and/or laboratory feature (OR ranging from 0.58 to 5.96). This ranking allowed the identification of features weakly associated with death, such as impaired consciousness and prostration, which could assist to improve case definition, and thus optimize antimalarial treatment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12916-017-0906-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-55414062017-08-07 Clinical and laboratory predictors of death in African children with features of severe malaria: a systematic review and meta-analysis Sypniewska, Paulina Duda, Jose F. Locatelli, Isabella Althaus, Clotilde Rambaud Althaus, Fabrice Genton, Blaise BMC Med Research Article BACKGROUND: The criteria for defining severe malaria have evolved over the last 20 years. We aimed to assess the strength of association of death with features currently characterizing severe malaria through a systematic review and meta-analysis. METHOD: Electronic databases (Medline, Embase, Cochrane Database of Systematic Reviews, Thomson Reuters Web of Knowledge) were searched to identify publications including African children with severe malaria. PRISMA guidelines were followed. Selection was based on design (epidemiological, clinical and treatment studies), setting (Africa), participants (children < 15 years old with severe malaria), outcome (survival/death rate), and prognostic indicators (clinical and laboratory features). Quality assessment was performed following the criteria of the 2011 Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2). Odds ratios (ORs) were calculated for each study and prognostic indicator, and, when a test was assessed in at least two studies, pooled estimates of ORs were computed using fixed- or random-effects meta-analysis. RESULTS: A total of 601 articles were identified and screened and 30 publications were retained. Features with the highest pooled ORs were renal failure (5.96, 95% CI 2.93–12.11), coma score (4.83, 95% CI 3.11–7.5), hypoglycemia (4.59, 95% CI 2.68–7.89), shock (4.31, 95% CI 2.15–8.64), and deep breathing (3.8, 95% CI 3.29–4.39). Only half of the criteria had an OR > 2. Features with the lowest pooled ORs were impaired consciousness (0.58, 95% CI 0.25–1.37), severe anemia (0.76, 95% CI 0.5– 1.13), and prostration (1.12, 95% CI 0.45–2.82). CONCLUSION: The findings of this meta-analysis show that the strength of association between the criteria defining severe malaria and death is quite variable for each clinical and/or laboratory feature (OR ranging from 0.58 to 5.96). This ranking allowed the identification of features weakly associated with death, such as impaired consciousness and prostration, which could assist to improve case definition, and thus optimize antimalarial treatment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12916-017-0906-5) contains supplementary material, which is available to authorized users. BioMed Central 2017-08-03 /pmc/articles/PMC5541406/ /pubmed/28768513 http://dx.doi.org/10.1186/s12916-017-0906-5 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Sypniewska, Paulina
Duda, Jose F.
Locatelli, Isabella
Althaus, Clotilde Rambaud
Althaus, Fabrice
Genton, Blaise
Clinical and laboratory predictors of death in African children with features of severe malaria: a systematic review and meta-analysis
title Clinical and laboratory predictors of death in African children with features of severe malaria: a systematic review and meta-analysis
title_full Clinical and laboratory predictors of death in African children with features of severe malaria: a systematic review and meta-analysis
title_fullStr Clinical and laboratory predictors of death in African children with features of severe malaria: a systematic review and meta-analysis
title_full_unstemmed Clinical and laboratory predictors of death in African children with features of severe malaria: a systematic review and meta-analysis
title_short Clinical and laboratory predictors of death in African children with features of severe malaria: a systematic review and meta-analysis
title_sort clinical and laboratory predictors of death in african children with features of severe malaria: a systematic review and meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5541406/
https://www.ncbi.nlm.nih.gov/pubmed/28768513
http://dx.doi.org/10.1186/s12916-017-0906-5
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