Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, 610041, China.
BMC Pediatr. 2024 Jan 16;24(1):49. doi: 10.1186/s12887-023-04496-y.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) infection has many neurological manifestations, and its effects on the nervous system are increasingly recognized. There has been no systematic analysis of electroencephalography (EEG) characteristics in children exhibiting neurological symptoms of Coronavirus disease 2019 (COVID-19). The primary aim of this study was to describe the EEG characteristics caused by COVID-19 infection in children who were showing neurological symptoms and to assess the relationship between COVID-19-related EEG changes and clinical features in these children.
This study included 125 pediatric patients infected with SARS-CoV2 and showing neurological symptoms, and their continuous EEG was recorded. In addition, the demographic and clinical characteristics of these patients were analyzed and the correlation between the two was investigated.
Abnormal EEG findings were detected in 31.20% (N = 39) of the patients. Abnormal discharges (43.59%) were the most common EEG abnormalities, followed by background abnormalities (41.03%). The proportion of patients diagnosed with febrile seizure was higher in the normal EEG group than in the abnormal EEG group (P = 0.002), while the opposite was true for epilepsy and encephalitis/encephalopathy (P = 0.016 and P = 0.003, respectively). The independent associated factors of abnormal EEG were age and total length of stay (P < 0.001 and P = 0.003, respectively). Non-specific EEG abnormalities were found in COVID-19-related encephalitis/encephalopathy.
Our study corroborated that a small group of pediatric patients infected by COVID-19 and showing neurological symptoms may exhibit abnormal EEG. This study could help improve the understanding of clinical and EEG characteristics in children with COVID-19 and inform triage policies in other hospitals during the COVID-19 pandemic.
严重急性呼吸综合征冠状病毒 2(SARS-CoV2)感染有许多神经系统表现,其对神经系统的影响正日益得到认识。目前还没有对出现 2019 年冠状病毒病(COVID-19)神经系统症状的儿童进行脑电图(EEG)特征的系统分析。本研究的主要目的是描述表现出 COVID-19 感染神经系统症状的儿童的 EEG 特征,并评估这些儿童的 COVID-19 相关 EEG 变化与临床特征之间的关系。
本研究纳入了 125 例感染 SARS-CoV2 并出现神经系统症状的儿科患者,对其连续 EEG 进行了记录。此外,对这些患者的人口统计学和临床特征进行了分析,并对两者之间的关系进行了调查。
31.20%(N=39)的患者存在异常脑电图发现。异常放电(43.59%)是最常见的 EEG 异常,其次是背景异常(41.03%)。正常 EEG 组的热性惊厥患者比例高于异常 EEG 组(P=0.002),而癫痫和脑炎/脑病患者的比例则相反(P=0.016 和 P=0.003)。异常 EEG 的独立相关因素为年龄和总住院时间(P<0.001 和 P=0.003)。COVID-19 相关性脑炎/脑病患者的脑电图异常是非特异性的。
本研究证实,一小部分感染 COVID-19 并出现神经系统症状的儿科患者可能出现异常脑电图。本研究有助于提高对 COVID-19 儿童临床和 EEG 特征的认识,并为 COVID-19 大流行期间其他医院的分诊政策提供信息。