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Article Dans Une Revue Brain Sciences Année : 2020

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

Anceline Dong
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Mélanie Valente
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Julie Zyss
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Sara Virolle
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Louis Puybasset
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Jacobo D Sitt
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Résumé

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.

Domaines

Virologie
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Origine : Publication financée par une institution

Dates et versions

hal-03053495 , version 1 (11-12-2020)

Identifiants

Citer

Aude Sangare, Anceline Dong, Mélanie Valente, Nadya Pyatigorskaya, Albert Cao, et al.. Neuroprognostication of Consciousness Recovery in a Patient with COVID-19 Related Encephalitis: Preliminary Findings from a Multimodal Approach. Brain Sciences, 2020, 10 (11), pp.845. ⟨10.3390/brainsci10110845⟩. ⟨hal-03053495⟩
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