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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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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. |
format | Online Article Text |
id | pubmed-5541406 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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