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Admission EEG findings in diverse paediatric cerebral malaria populations predict outcomes

BACKGROUND: Electroencephalography at hospital presentation may offer important insights regarding prognosis that can inform understanding of cerebral malaria (CM) pathophysiology and potentially guide patient selection and risk stratification for future clinical trials. Electroencephalogram (EEG) f...

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Autores principales: Postels, Douglas G., Wu, Xiaoting, Li, Chenxi, Kaplan, Peter W., Seydel, Karl B., Taylor, Terrie E., Kousa, Youssef A., Idro, Richard, Opoka, Robert, John, Chandy C., Birbeck, Gretchen L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5963073/
https://www.ncbi.nlm.nih.gov/pubmed/29783991
http://dx.doi.org/10.1186/s12936-018-2355-9
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author Postels, Douglas G.
Wu, Xiaoting
Li, Chenxi
Kaplan, Peter W.
Seydel, Karl B.
Taylor, Terrie E.
Kousa, Youssef A.
Idro, Richard
Opoka, Robert
John, Chandy C.
Birbeck, Gretchen L.
author_facet Postels, Douglas G.
Wu, Xiaoting
Li, Chenxi
Kaplan, Peter W.
Seydel, Karl B.
Taylor, Terrie E.
Kousa, Youssef A.
Idro, Richard
Opoka, Robert
John, Chandy C.
Birbeck, Gretchen L.
author_sort Postels, Douglas G.
collection PubMed
description BACKGROUND: Electroencephalography at hospital presentation may offer important insights regarding prognosis that can inform understanding of cerebral malaria (CM) pathophysiology and potentially guide patient selection and risk stratification for future clinical trials. Electroencephalogram (EEG) findings in children with CM in Uganda and Malawi were compared and associations between admission EEG findings and outcome across this diverse population were assessed. Demographic, clinical and admission EEG data from Ugandan and Malawian children admitted from 2009 to 2012 with CM were gathered, and survivors assessed for neurological abnormalities at discharge. RESULTS: 281 children were enrolled (Uganda n = 122, Malawi n = 159). The Malawian population was comprised only of retinopathy positive children (versus 72.5% retinopathy positive in Uganda) and were older (4.2 versus 3.7 years; p = 0.046), had a higher HIV prevalence (9.0 versus 2.8%; p = 0.042), and worse hyperlactataemia (7.4 versus 5.2 mmol/L; p < 0.001) on admission compared to the Ugandan children. EEG findings differed between the two groups in terms of average voltage and frequencies, reactivity, asymmetry, and the presence/absence of sleep architecture. In univariate analyses pooling EEG and outcomes data for both sites, higher average and maximum voltages, faster dominant frequencies, and retained reactivity were associated with survival (all p < 0.05). Focal slowing was associated with death (OR 2.93; 95% CI 1.77–7.30) and a lower average voltage was associated with neurological morbidity in survivors (p = 0.0032). CONCLUSIONS: Despite substantial demographic and clinical heterogeneity between subjects in Malawi and Uganda as well as different EEG readers at each site, EEG findings on admission predicted mortality and morbidity. For CM clinical trials aimed at decreasing mortality or morbidity, EEG may be valuable for risk stratification and/or subject selection.
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spelling pubmed-59630732018-06-25 Admission EEG findings in diverse paediatric cerebral malaria populations predict outcomes Postels, Douglas G. Wu, Xiaoting Li, Chenxi Kaplan, Peter W. Seydel, Karl B. Taylor, Terrie E. Kousa, Youssef A. Idro, Richard Opoka, Robert John, Chandy C. Birbeck, Gretchen L. Malar J Research BACKGROUND: Electroencephalography at hospital presentation may offer important insights regarding prognosis that can inform understanding of cerebral malaria (CM) pathophysiology and potentially guide patient selection and risk stratification for future clinical trials. Electroencephalogram (EEG) findings in children with CM in Uganda and Malawi were compared and associations between admission EEG findings and outcome across this diverse population were assessed. Demographic, clinical and admission EEG data from Ugandan and Malawian children admitted from 2009 to 2012 with CM were gathered, and survivors assessed for neurological abnormalities at discharge. RESULTS: 281 children were enrolled (Uganda n = 122, Malawi n = 159). The Malawian population was comprised only of retinopathy positive children (versus 72.5% retinopathy positive in Uganda) and were older (4.2 versus 3.7 years; p = 0.046), had a higher HIV prevalence (9.0 versus 2.8%; p = 0.042), and worse hyperlactataemia (7.4 versus 5.2 mmol/L; p < 0.001) on admission compared to the Ugandan children. EEG findings differed between the two groups in terms of average voltage and frequencies, reactivity, asymmetry, and the presence/absence of sleep architecture. In univariate analyses pooling EEG and outcomes data for both sites, higher average and maximum voltages, faster dominant frequencies, and retained reactivity were associated with survival (all p < 0.05). Focal slowing was associated with death (OR 2.93; 95% CI 1.77–7.30) and a lower average voltage was associated with neurological morbidity in survivors (p = 0.0032). CONCLUSIONS: Despite substantial demographic and clinical heterogeneity between subjects in Malawi and Uganda as well as different EEG readers at each site, EEG findings on admission predicted mortality and morbidity. For CM clinical trials aimed at decreasing mortality or morbidity, EEG may be valuable for risk stratification and/or subject selection. BioMed Central 2018-05-22 /pmc/articles/PMC5963073/ /pubmed/29783991 http://dx.doi.org/10.1186/s12936-018-2355-9 Text en © The Author(s) 2018 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
Postels, Douglas G.
Wu, Xiaoting
Li, Chenxi
Kaplan, Peter W.
Seydel, Karl B.
Taylor, Terrie E.
Kousa, Youssef A.
Idro, Richard
Opoka, Robert
John, Chandy C.
Birbeck, Gretchen L.
Admission EEG findings in diverse paediatric cerebral malaria populations predict outcomes
title Admission EEG findings in diverse paediatric cerebral malaria populations predict outcomes
title_full Admission EEG findings in diverse paediatric cerebral malaria populations predict outcomes
title_fullStr Admission EEG findings in diverse paediatric cerebral malaria populations predict outcomes
title_full_unstemmed Admission EEG findings in diverse paediatric cerebral malaria populations predict outcomes
title_short Admission EEG findings in diverse paediatric cerebral malaria populations predict outcomes
title_sort admission eeg findings in diverse paediatric cerebral malaria populations predict outcomes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5963073/
https://www.ncbi.nlm.nih.gov/pubmed/29783991
http://dx.doi.org/10.1186/s12936-018-2355-9
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