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Neuroprognostication of Consciousness Recovery in a Patient with COVID-19 Related Encephalitis: Preliminary Findings from a Multimodal Approach

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Sangare, Aude | Dong, Anceline | Valente, Mélanie | Pyatigorskaya, Nadya | Cao, Albert | Altmayer, Victor | Zyss, Julie | Lambrecq, Virginie | Roux, Damien | Morlon, Quentin | Perez, Pauline | Ben Salah, Amina | Virolle, Sara | Puybasset, Louis | Sitt, Jacobo, D | Rohaut, Benjamin | Naccache, Lionel

Edité par CCSD ; MDPI -

International audience. 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.

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