• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

Epilepsy Behav . Meta-analysis of EEG findings in patients with COVID-19

tetano

Editor, Senior Moderator
Epilepsy Behav


. 2020 Dec 4;107682.
doi: 10.1016/j.yebeh.2020.107682. Online ahead of print.
Meta-analysis of EEG findings in patients with COVID-19


Takafumi Kubota[SUP] 1 [/SUP], Prasannakumar Kanubhai Gajera[SUP] 2 [/SUP], Naoto Kuroda[SUP] 3 [/SUP]



Affiliations

Abstract

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[SUP]2[/SUP] = 60%; p < 0.01 and 92.3% [95% CI: 81.2-99.3]; I[SUP]2[/SUP] = 74%; p < 0.01, respectively). The proportion of patients with epileptiform discharges (EDs) was 20.3% ([95% CI: 9.85-32.9]; I[SUP]2[/SUP] = 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[SUP]2[/SUP] = 0%; p = 0.49) and patients without them (22.4% [95% CI: 10.4-36.4]; I[SUP]2[/SUP] = 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[SUP]2[/SUP] = 39%; p = 0.08) and 0.80% ([95% CI: 0.00.-3.69]; I[SUP]2[/SUP] = 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).

Keywords: COVID-19; EEG; Epilepsy; Neurology; Seizure; Status epilepticus.
 
Back
Top Bottom