PropertyValue
?: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]; I2 = 60%; p < 0.01 and 92.3% [95% CI: 81.2-99.3]; I2 = 74%; p < 0.01, respectively). The proportion of patients with epileptiform discharges (EDs) was 20.3% ([95% CI: 9.85-32.9]; I2 = 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]; I2 = 0%; p = 0.49) and patients without them (22.4% [95% CI: 10.4-36.4]; I2 = 46%; p = 0.07). The findings of seizures and status epilepticus on EEG were observed in 2.05% ([95% CI: 0.02-6.04]; I2 = 39%; p = 0.08) and 0.80% ([95% CI: 0.00.-3.69]; I2 = 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).
is ?:annotates of
?:creator
?:journal
  • Epilepsy_Behav
?:license
  • unk
?:publication_isRelatedTo_Disease
?:source
  • WHO
?:title
  • Meta-analysis of EEG findings in patients with COVID-19
?:type
?:who_covidence_id
  • #957493
?:year
  • 2020

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