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

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?2?=?74%; p?2?=?78%; p?2?=?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).

SUBMITTER: Kubota T 

PROVIDER: S-EPMC7833461 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature