tetano
Editor, Senior Moderator
Brain Sci
. 2020 Nov 12;10(11):E845.
doi: 10.3390/brainsci10110845.
Neuroprognostication of Consciousness Recovery in a Patient with COVID-19 Related Encephalitis: Preliminary Findings from a Multimodal Approach
Aude Sangare[SUP] 1 2 3 [/SUP], Anceline Dong[SUP] 4 [/SUP], Melanie Valente[SUP] 1 [/SUP], Nadya Pyatigorskaya[SUP] 1 2 5 [/SUP], Albert Cao[SUP] 2 4 [/SUP], Victor Altmayer[SUP] 4 [/SUP], Julie Zyss[SUP] 3 [/SUP], Virginie Lambrecq[SUP] 1 2 3 [/SUP], Damien Roux[SUP] 6 [/SUP], Quentin Morlon[SUP] 6 [/SUP], Pauline Perez[SUP] 1 3 [/SUP], Amina Ben Salah[SUP] 1 3 [/SUP], Sara Virolle[SUP] 7 [/SUP], Louis Puybasset[SUP] 2 8 [/SUP], Jacobo D Sitt[SUP] 1 2 [/SUP], Benjamin Rohaut[SUP] 1 2 4 9 [/SUP], Lionel Naccache[SUP] 1 2 3 [/SUP]
Affiliations
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.
Keywords: COVID-19; EEG; SARS-CoV-2; disorders of consciousness; neuroprognostication.
. 2020 Nov 12;10(11):E845.
doi: 10.3390/brainsci10110845.
Neuroprognostication of Consciousness Recovery in a Patient with COVID-19 Related Encephalitis: Preliminary Findings from a Multimodal Approach
Aude Sangare[SUP] 1 2 3 [/SUP], Anceline Dong[SUP] 4 [/SUP], Melanie Valente[SUP] 1 [/SUP], Nadya Pyatigorskaya[SUP] 1 2 5 [/SUP], Albert Cao[SUP] 2 4 [/SUP], Victor Altmayer[SUP] 4 [/SUP], Julie Zyss[SUP] 3 [/SUP], Virginie Lambrecq[SUP] 1 2 3 [/SUP], Damien Roux[SUP] 6 [/SUP], Quentin Morlon[SUP] 6 [/SUP], Pauline Perez[SUP] 1 3 [/SUP], Amina Ben Salah[SUP] 1 3 [/SUP], Sara Virolle[SUP] 7 [/SUP], Louis Puybasset[SUP] 2 8 [/SUP], Jacobo D Sitt[SUP] 1 2 [/SUP], Benjamin Rohaut[SUP] 1 2 4 9 [/SUP], Lionel Naccache[SUP] 1 2 3 [/SUP]
Affiliations
- PMID: 33198199
- DOI: 10.3390/brainsci10110845
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.
Keywords: COVID-19; EEG; SARS-CoV-2; disorders of consciousness; neuroprognostication.