Department of Neurology, Gülhane School of Medicine, University of Health Science, Ankara, 06010, Turkey.
Department of Anesthesia, Gülhane School of Medicine, University of Health Science, Ankara, Turkey.
Neurol Sci. 2022 Apr;43(4):2277-2283. doi: 10.1007/s10072-021-05818-7. Epub 2022 Jan 23.
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.
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.
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.
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.
由严重急性呼吸系统综合征冠状病毒 2 型(SARS-CoV-2)引起的冠状病毒疾病(COVID-19)是一种传染病。世界卫生组织(WHO)于 2020 年 3 月 11 日宣布该疾病为大流行。在大流行期间,报告的癫痫发作和癫痫持续状态显著增加。在这种情况下,本研究旨在确定诊断为 COVID-19 并入住重症监护病房的患者的脑电图(EEG)特征,并寻找这些特征中的任何特定模式。
本研究的材料主要包括 87 名被诊断患有 COVID-19 的重症监护患者的神经评估和连续 EEG 记录。此外,还分析了这些患者的人口统计学和临床特征以及合并症,并对其进行了任何相关性的研究。
记录并分析了 87 名被诊断为 COVID-19 并在重症监护病房接受随访的患者的 EEG 数据。发现 93.1%(n=81)的患者存在异常 EEG 发现,且异常 EEG 发现随年龄显著增加(p<0.001)。在 EEG 上具有特定癫痫样异常的患者的平均年龄明显高于具有非特异性异常的患者。37.9%(n=33)的患者出现癫痫样放电。5.7%的患者检测到非惊厥性癫痫持续状态(NCSE),并开始使用抗癫痫药物治疗 25 例(28.7%)患者。
由于 COVID-19 感染,在重症监护病房接受随访的患者的连续 EEG 中观察到了具有统计学意义的 EEG 变化。然而,需要进一步的研究来将 COVID-19 患者观察到的 EEG 变化与 COVID-19 感染的癫痫发作相关联。