Predicting the functional recovery of patients with severe neurological condition due to coronavirus disease 2019 (COVID-19) is a challenging task. Only limited outcome data are available, the pathophysiology is poorly understood, and the time-course of recovery is still largely unknown. Here, we report the case of a patient with COVID-19 associated encephalitis presenting as a prolonged state of unresponsiveness for two months, who finally fully recovered consciousness, functional communication, and autonomy after immunotherapy. In a multimodal approach, a high-density resting state EEG revealed a rich brain activity in spite of a severe clinical presentation. Using our previously validated algorithms, we could predict a possible improvement of consciousness in this patient. This case report illustrates the value of a multimodal approach capitalizing on advanced brain-imaging and bedside electrophysiology techniques to improve prognosis accuracy in this complex and new aetiology.
【저자키워드】 COVID-19, SARS-CoV-2, EEG, Disorders of consciousness, neuroprognostication, 【초록키워드】 coronavirus disease, Prognosis, Immunotherapy, outcome, Brain, Encephalitis, Case report, Accuracy, pathophysiology, Patient, predict, neurological, Algorithms, complex, aetiology, high-density, approach, patient with COVID-19, IMPROVE, functional, presenting, 【제목키워드】 consciousness, finding, with COVID-19,