Neuroprognostication of Consciousness Recovery in a Patient with COVID-19 Related Encephalitis: Preliminary Findings from a Multimodal Approach
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 re...
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-11-01
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| Series: | Brain Sciences |
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| Online Access: | https://www.mdpi.com/2076-3425/10/11/845 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Aude Sangare |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T14:55:04Z |
| format | Article |
| id | doaj.art-8e515d7dbf3343e3992613a59c3ba005 |
| institution | Directory Open Access Journal |
| issn | 2076-3425 |
| language | English |
| last_indexed | 2024-03-10T14:55:04Z |
| publishDate | 2020-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Brain Sciences |
| spelling | doaj.art-8e515d7dbf3343e3992613a59c3ba0052023-11-20T20:42:06ZengMDPI AGBrain Sciences2076-34252020-11-01101184510.3390/brainsci10110845Neuroprognostication of Consciousness Recovery in a Patient with COVID-19 Related Encephalitis: Preliminary Findings from a Multimodal ApproachAude Sangare0Anceline Dong1Melanie Valente2Nadya Pyatigorskaya3Albert Cao4Victor Altmayer5Julie Zyss6Virginie Lambrecq7Damien Roux8Quentin Morlon9Pauline Perez10Amina Ben Salah11Sara Virolle12Louis Puybasset13Jacobo D Sitt14Benjamin Rohaut15Lionel Naccache16Brain institute—ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, 75013 Paris, FranceDepartment of Neurology, Neuro-ICU, AP-HP, Hôpital Pitié-Salpêtrière, Sorbonne Université, 75006 Paris, FranceBrain institute—ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, 75013 Paris, FranceBrain institute—ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, 75013 Paris, FranceCNRS, INSERM, Laboratoire d’Imagerie Biomédicale, Sorbonne Université, 75006 Paris, FranceDepartment of Neurology, Neuro-ICU, AP-HP, Hôpital Pitié-Salpêtrière, Sorbonne Université, 75006 Paris, FranceDepartment of Neurophysiology, AP-HP, Hôpital Pitié-Salpêtrière, Sorbonne Université, 75006 Paris, FranceBrain institute—ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, 75013 Paris, FranceDepartment of Critical Care, Hôpital Louis Mourier, AP-HP, Université de Paris, 92700 Colombes, FranceDepartment of Critical Care, Hôpital Louis Mourier, AP-HP, Université de Paris, 92700 Colombes, FranceBrain institute—ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, 75013 Paris, FranceBrain institute—ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, 75013 Paris, FranceDepartment of Pneumology, post ICU rehabilitation, AP-HP, Hôpital Pitié-Salpêtrière, Sorbonne Université, 75006 Paris, FranceCNRS, INSERM, Laboratoire d’Imagerie Biomédicale, Sorbonne Université, 75006 Paris, FranceBrain institute—ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, 75013 Paris, FranceBrain institute—ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, 75013 Paris, FranceBrain institute—ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, 75013 Paris, FrancePredicting 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.https://www.mdpi.com/2076-3425/10/11/845disorders of consciousnessCOVID-19neuroprognosticationEEGSARS-CoV-2 |
| spellingShingle | 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 Neuroprognostication of Consciousness Recovery in a Patient with COVID-19 Related Encephalitis: Preliminary Findings from a Multimodal Approach Brain Sciences disorders of consciousness COVID-19 neuroprognostication EEG SARS-CoV-2 |
| title | Neuroprognostication of Consciousness Recovery in a Patient with COVID-19 Related Encephalitis: Preliminary Findings from a Multimodal Approach |
| title_full | Neuroprognostication of Consciousness Recovery in a Patient with COVID-19 Related Encephalitis: Preliminary Findings from a Multimodal Approach |
| title_fullStr | Neuroprognostication of Consciousness Recovery in a Patient with COVID-19 Related Encephalitis: Preliminary Findings from a Multimodal Approach |
| title_full_unstemmed | Neuroprognostication of Consciousness Recovery in a Patient with COVID-19 Related Encephalitis: Preliminary Findings from a Multimodal Approach |
| title_short | Neuroprognostication of Consciousness Recovery in a Patient with COVID-19 Related Encephalitis: Preliminary Findings from a Multimodal Approach |
| title_sort | neuroprognostication of consciousness recovery in a patient with covid 19 related encephalitis preliminary findings from a multimodal approach |
| topic | disorders of consciousness COVID-19 neuroprognostication EEG SARS-CoV-2 |
| url | https://www.mdpi.com/2076-3425/10/11/845 |
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