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Meta-analysis of EEG findings in patients with COVID-19

OBJECTIVE: To perform a systematic review and meta-analysis to summarize and quantitatively evaluate the electroencephalogram (EEG) findings in patients with coronavirus disease 2019 (COVID-19). METHODS: The MEDLINE, CENTRAL, and ClinicalTrials.Gov databases were comprehensively assessed and searche...

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Autores principales: Kubota, Takafumi, Gajera, Prasannakumar Kanubhai, Kuroda, Naoto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7833461/
https://www.ncbi.nlm.nih.gov/pubmed/33342709
http://dx.doi.org/10.1016/j.yebeh.2020.107682
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author Kubota, Takafumi
Gajera, Prasannakumar Kanubhai
Kuroda, Naoto
author_facet Kubota, Takafumi
Gajera, Prasannakumar Kanubhai
Kuroda, Naoto
author_sort Kubota, Takafumi
collection PubMed
description OBJECTIVE: To perform a systematic review and meta-analysis to summarize and quantitatively evaluate the electroencephalogram (EEG) findings in patients with coronavirus disease 2019 (COVID-19). METHODS: The MEDLINE, CENTRAL, and ClinicalTrials.Gov databases were comprehensively assessed and searched for observational studies with EEG findings in patients with COVID-19. Pooled proportions of EEG findings with 95% confidence intervals (CIs) were assessed using a random effects model. The quality of assessment for each study, heterogeneity between the studies, and publication bias were also evaluated. RESULTS: In total, 12 studies with 308 patients were included in the meta-analysis. Abnormal background activity and generalized slowing in the pooled proportions were common findings among the patients with COVID-19 (96.1% [95% CI: 89.4–99.9]; I(2) = 60%; p < 0.01 and 92.3% [95% CI: 81.2–99.3]; I(2) = 74%; p < 0.01, respectively). The proportion of patients with epileptiform discharges (EDs) was 20.3% ([95% CI: 9.85–32.9]; I(2) = 78%; p < 0.01). The proportion of EDs varied between patients with a history of epilepsy or seizures (59.5% [95% CI: 33.9–83.2]; I(2) = 0%; p = 0.49) and patients without them (22.4% [95% CI: 10.4–36.4]; I(2) = 46%; p = 0.07). The findings of seizures and status epilepticus on EEG were observed in 2.05% ([95% CI: 0.02–6.04]; I(2) = 39%; p = 0.08) and 0.80% ([95% CI: 0.00.-3.69]; I(2) = 28%; p = 0.17) of the patients, respectively. CONCLUSION: The proportion of abnormal background activity in patients with COVID-19 was high (96.1%). Epileptiform discharges were present in 20.3% of the cases and the proportion varied between people who had a history of epilepsy/seizure and those who did not. However, the proportion of seizures and status epilepticus on EEG was low (2.05% and 0. 80%, respectively).
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spelling pubmed-78334612021-01-26 Meta-analysis of EEG findings in patients with COVID-19 Kubota, Takafumi Gajera, Prasannakumar Kanubhai Kuroda, Naoto Epilepsy Behav Review OBJECTIVE: To perform a systematic review and meta-analysis to summarize and quantitatively evaluate the electroencephalogram (EEG) findings in patients with coronavirus disease 2019 (COVID-19). METHODS: The MEDLINE, CENTRAL, and ClinicalTrials.Gov databases were comprehensively assessed and searched for observational studies with EEG findings in patients with COVID-19. Pooled proportions of EEG findings with 95% confidence intervals (CIs) were assessed using a random effects model. The quality of assessment for each study, heterogeneity between the studies, and publication bias were also evaluated. RESULTS: In total, 12 studies with 308 patients were included in the meta-analysis. Abnormal background activity and generalized slowing in the pooled proportions were common findings among the patients with COVID-19 (96.1% [95% CI: 89.4–99.9]; I(2) = 60%; p < 0.01 and 92.3% [95% CI: 81.2–99.3]; I(2) = 74%; p < 0.01, respectively). The proportion of patients with epileptiform discharges (EDs) was 20.3% ([95% CI: 9.85–32.9]; I(2) = 78%; p < 0.01). The proportion of EDs varied between patients with a history of epilepsy or seizures (59.5% [95% CI: 33.9–83.2]; I(2) = 0%; p = 0.49) and patients without them (22.4% [95% CI: 10.4–36.4]; I(2) = 46%; p = 0.07). The findings of seizures and status epilepticus on EEG were observed in 2.05% ([95% CI: 0.02–6.04]; I(2) = 39%; p = 0.08) and 0.80% ([95% CI: 0.00.-3.69]; I(2) = 28%; p = 0.17) of the patients, respectively. CONCLUSION: The proportion of abnormal background activity in patients with COVID-19 was high (96.1%). Epileptiform discharges were present in 20.3% of the cases and the proportion varied between people who had a history of epilepsy/seizure and those who did not. However, the proportion of seizures and status epilepticus on EEG was low (2.05% and 0. 80%, respectively). Elsevier Inc. 2021-02 2020-12-04 /pmc/articles/PMC7833461/ /pubmed/33342709 http://dx.doi.org/10.1016/j.yebeh.2020.107682 Text en © 2020 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Review
Kubota, Takafumi
Gajera, Prasannakumar Kanubhai
Kuroda, Naoto
Meta-analysis of EEG findings in patients with COVID-19
title Meta-analysis of EEG findings in patients with COVID-19
title_full Meta-analysis of EEG findings in patients with COVID-19
title_fullStr Meta-analysis of EEG findings in patients with COVID-19
title_full_unstemmed Meta-analysis of EEG findings in patients with COVID-19
title_short Meta-analysis of EEG findings in patients with COVID-19
title_sort meta-analysis of eeg findings in patients with covid-19
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7833461/
https://www.ncbi.nlm.nih.gov/pubmed/33342709
http://dx.doi.org/10.1016/j.yebeh.2020.107682
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