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EEG changes in intensive care patients diagnosed with COVID-19: a prospective clinical study.
Karadas, Omer; Ozturk, Bilgin; Sonkaya, Ali Riza; Duzgun, Ulkuhan; Shafiyev, Javid; Eskin, Mehmet Burak; Bostan, Tehlil; Ozon, Akcay Ovunc.
Affiliation
  • Karadas O; Department of Neurology, Gülhane School of Medicine, University of Health Science, Ankara, 06010, Turkey.
  • Ozturk B; Department of Neurology, Gülhane School of Medicine, University of Health Science, Ankara, 06010, Turkey.
  • Sonkaya AR; Department of Neurology, Gülhane School of Medicine, University of Health Science, Ankara, 06010, Turkey.
  • Duzgun U; Department of Neurology, Gülhane School of Medicine, University of Health Science, Ankara, 06010, Turkey.
  • Shafiyev J; Department of Neurology, Gülhane School of Medicine, University of Health Science, Ankara, 06010, Turkey. shafiyevjavid13@gmail.com.
  • Eskin MB; Department of Anesthesia, Gülhane School of Medicine, University of Health Science, Ankara, Turkey.
  • Bostan T; Department of Neurology, Gülhane School of Medicine, University of Health Science, Ankara, 06010, Turkey.
  • Ozon AO; Department of Neurology, Liv Hospital, Ankara, Turkey.
Neurol Sci ; 43(4): 2277-2283, 2022 Apr.
Article de En | MEDLINE | ID: mdl-35066643
ABSTRACT

INTRODUCTION:

Coronavirus disease (COVID-19) is an infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The disease was declared a pandemic on March 11th, 2020, by the World Health Organization (WHO). There has been a substantial increase in the epileptic seizures and status epilepticus reported in the pandemic period. In this context, it is aimed with this study to identify the electroencephalography (EEG) features of patients admitted to the intensive care unit with the diagnosis of COVID-19 and to look for any specific patterns in these features. MATERIAL AND

METHOD:

The material of this study primarily comprised the neurological evaluations and continuous EEG recordings of 87 intensive care patients who were diagnosed with COVID-19. In addition, demographic and clinical features and comorbid conditions of these patients were also analyzed, and any correlation thereof was investigated.

RESULTS:

The EEG data of 87 patients who were diagnosed with COVID-19 and were followed up in the intensive care unit were recorded and then analyzed. Abnormal EEG findings were detected in 93.1% (n = 81) of the patients, which were found to increase significantly with age (p < 0.001). The mean age of patients with specific epileptiform abnormalities on EEG was found to be significantly higher than those with non-specific abnormalities. Epileptiform discharges were seen in 37.9% (n = 33) of the patients. Nonconvulsive status epilepticus (NCSE) was detected in 5.7% of the patients, and antiepileptic drugs were started in 25 (28.7%) of the patients.

DISCUSSION:

Statistically significant EEG changes were observed in the continuous EEGs of the patients followed up in the intensive care unit due to COVID-19 infection. However, further studies are needed to associate the EEG changes observed in the COVID-19 patients with the epileptogenesis of COVID-19 infection.
Sujet(s)
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: État de mal épileptique / COVID-19 Type d'étude: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limites: Humans Langue: En Journal: Neurol Sci Sujet du journal: NEUROLOGIA Année: 2022 Type de document: Article Pays d'affiliation: Turquie

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: État de mal épileptique / COVID-19 Type d'étude: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limites: Humans Langue: En Journal: Neurol Sci Sujet du journal: NEUROLOGIA Année: 2022 Type de document: Article Pays d'affiliation: Turquie
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