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

Authors :
Aude Sangare
Anceline Dong
Melanie Valente
Nadya Pyatigorskaya
Albert Cao
Victor Altmayer
Julie Zyss
Virginie Lambrecq
Damien Roux
Quentin Morlon
Pauline Perez
Amina Ben Salah
Sara Virolle
Louis Puybasset
Jacobo D Sitt
Benjamin Rohaut
Lionel Naccache
Source :
Brain Sciences, Vol 10, Iss 11, p 845 (2020)
Publication Year :
2020
Publisher :
MDPI AG, 2020.

Abstract

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.

Details

Language :
English
ISSN :
20763425
Volume :
10
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Brain Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.8e515d7dbf3343e3992613a59c3ba005
Document Type :
article
Full Text :
https://doi.org/10.3390/brainsci10110845