PropertyValue
?: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.
is ?:annotates of
?:creator
?:doi
?:doi
  • 10.3390/brainsci10110845
?:journal
  • Brain_Sci
?:license
  • cc-by
?:pdf_json_files
  • document_parses/pdf_json/395c8e8d9eae7c255c6d4bc3901f2f6eb1de1624.json
?:pmc_json_files
  • document_parses/pmc_json/PMC7696159.xml.json
?:pmcid
?:pmid
?:pmid
  • 33198199.0
?:publication_isRelatedTo_Disease
is ?:relation_isRelatedTo_publication of
?:sha_id
?:source
  • Medline; PMC
?:title
  • Neuroprognostication of Consciousness Recovery in a Patient with COVID-19 Related Encephalitis: Preliminary Findings from a Multimodal Approach
?:type
?:year
  • 2020-11-12

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