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Electroencephalographic Abnormalities are Common in COVID‐19 and are Associated with Outcomes
OBJECTIVE: The aim was to determine the prevalence and risk factors for electrographic seizures and other electroencephalographic (EEG) patterns in patients with Coronavirus disease 2019 (COVID‐19) undergoing clinically indicated continuous electroencephalogram (cEEG) monitoring and to assess whethe...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8104061/ https://www.ncbi.nlm.nih.gov/pubmed/33704826 http://dx.doi.org/10.1002/ana.26060 |
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author | Lin, Lu Al‐Faraj, Abrar Ayub, Neishay Bravo, Pablo Das, Sudeshna Ferlini, Lorenzo Karakis, Ioannis Lee, Jong Woo Mukerji, Shibani S. Newey, Christopher R. Pathmanathan, Jay Abdennadher, Myriam Casassa, Charles Gaspard, Nicolas Goldenholz, Daniel M. Gilmore, Emily J. Jing, Jin Kim, Jennifer A. Kimchi, Eyal Y. Ladha, Harshad S. Tobochnik, Steven Zafar, Sahar Hirsch, Lawrence J. Westover, M. Brandon Shafi, Mouhsin M. |
author_facet | Lin, Lu Al‐Faraj, Abrar Ayub, Neishay Bravo, Pablo Das, Sudeshna Ferlini, Lorenzo Karakis, Ioannis Lee, Jong Woo Mukerji, Shibani S. Newey, Christopher R. Pathmanathan, Jay Abdennadher, Myriam Casassa, Charles Gaspard, Nicolas Goldenholz, Daniel M. Gilmore, Emily J. Jing, Jin Kim, Jennifer A. Kimchi, Eyal Y. Ladha, Harshad S. Tobochnik, Steven Zafar, Sahar Hirsch, Lawrence J. Westover, M. Brandon Shafi, Mouhsin M. |
author_sort | Lin, Lu |
collection | PubMed |
description | OBJECTIVE: The aim was to determine the prevalence and risk factors for electrographic seizures and other electroencephalographic (EEG) patterns in patients with Coronavirus disease 2019 (COVID‐19) undergoing clinically indicated continuous electroencephalogram (cEEG) monitoring and to assess whether EEG findings are associated with outcomes. METHODS: We identified 197 patients with COVID‐19 referred for cEEG at 9 participating centers. Medical records and EEG reports were reviewed retrospectively to determine the incidence of and clinical risk factors for seizures and other epileptiform patterns. Multivariate Cox proportional hazards analysis assessed the relationship between EEG patterns and clinical outcomes. RESULTS: Electrographic seizures were detected in 19 (9.6%) patients, including nonconvulsive status epilepticus (NCSE) in 11 (5.6%). Epileptiform abnormalities (either ictal or interictal) were present in 96 (48.7%). Preceding clinical seizures during hospitalization were associated with both electrographic seizures (36.4% in those with vs 8.1% in those without prior clinical seizures, odds ratio [OR] 6.51, p = 0.01) and NCSE (27.3% vs 4.3%, OR 8.34, p = 0.01). A pre‐existing intracranial lesion on neuroimaging was associated with NCSE (14.3% vs 3.7%; OR 4.33, p = 0.02). In multivariate analysis of outcomes, electrographic seizures were an independent predictor of in‐hospital mortality (hazard ratio [HR] 4.07 [1.44–11.51], p < 0.01). In competing risks analysis, hospital length of stay increased in the presence of NCSE (30 day proportion discharged with vs without NCSE: HR 0.21 [0.03–0.33] vs 0.43 [0.36–0.49]). INTERPRETATION: This multicenter retrospective cohort study demonstrates that seizures and other epileptiform abnormalities are common in patients with COVID‐19 undergoing clinically indicated cEEG and are associated with adverse clinical outcomes. ANN NEUROL 2021;89:872–883 |
format | Online Article Text |
id | pubmed-8104061 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81040612021-06-16 Electroencephalographic Abnormalities are Common in COVID‐19 and are Associated with Outcomes Lin, Lu Al‐Faraj, Abrar Ayub, Neishay Bravo, Pablo Das, Sudeshna Ferlini, Lorenzo Karakis, Ioannis Lee, Jong Woo Mukerji, Shibani S. Newey, Christopher R. Pathmanathan, Jay Abdennadher, Myriam Casassa, Charles Gaspard, Nicolas Goldenholz, Daniel M. Gilmore, Emily J. Jing, Jin Kim, Jennifer A. Kimchi, Eyal Y. Ladha, Harshad S. Tobochnik, Steven Zafar, Sahar Hirsch, Lawrence J. Westover, M. Brandon Shafi, Mouhsin M. Ann Neurol Research Articles OBJECTIVE: The aim was to determine the prevalence and risk factors for electrographic seizures and other electroencephalographic (EEG) patterns in patients with Coronavirus disease 2019 (COVID‐19) undergoing clinically indicated continuous electroencephalogram (cEEG) monitoring and to assess whether EEG findings are associated with outcomes. METHODS: We identified 197 patients with COVID‐19 referred for cEEG at 9 participating centers. Medical records and EEG reports were reviewed retrospectively to determine the incidence of and clinical risk factors for seizures and other epileptiform patterns. Multivariate Cox proportional hazards analysis assessed the relationship between EEG patterns and clinical outcomes. RESULTS: Electrographic seizures were detected in 19 (9.6%) patients, including nonconvulsive status epilepticus (NCSE) in 11 (5.6%). Epileptiform abnormalities (either ictal or interictal) were present in 96 (48.7%). Preceding clinical seizures during hospitalization were associated with both electrographic seizures (36.4% in those with vs 8.1% in those without prior clinical seizures, odds ratio [OR] 6.51, p = 0.01) and NCSE (27.3% vs 4.3%, OR 8.34, p = 0.01). A pre‐existing intracranial lesion on neuroimaging was associated with NCSE (14.3% vs 3.7%; OR 4.33, p = 0.02). In multivariate analysis of outcomes, electrographic seizures were an independent predictor of in‐hospital mortality (hazard ratio [HR] 4.07 [1.44–11.51], p < 0.01). In competing risks analysis, hospital length of stay increased in the presence of NCSE (30 day proportion discharged with vs without NCSE: HR 0.21 [0.03–0.33] vs 0.43 [0.36–0.49]). INTERPRETATION: This multicenter retrospective cohort study demonstrates that seizures and other epileptiform abnormalities are common in patients with COVID‐19 undergoing clinically indicated cEEG and are associated with adverse clinical outcomes. ANN NEUROL 2021;89:872–883 John Wiley & Sons, Inc. 2021-03-24 2021-05 /pmc/articles/PMC8104061/ /pubmed/33704826 http://dx.doi.org/10.1002/ana.26060 Text en © 2021 American Neurological Association. This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency. |
spellingShingle | Research Articles Lin, Lu Al‐Faraj, Abrar Ayub, Neishay Bravo, Pablo Das, Sudeshna Ferlini, Lorenzo Karakis, Ioannis Lee, Jong Woo Mukerji, Shibani S. Newey, Christopher R. Pathmanathan, Jay Abdennadher, Myriam Casassa, Charles Gaspard, Nicolas Goldenholz, Daniel M. Gilmore, Emily J. Jing, Jin Kim, Jennifer A. Kimchi, Eyal Y. Ladha, Harshad S. Tobochnik, Steven Zafar, Sahar Hirsch, Lawrence J. Westover, M. Brandon Shafi, Mouhsin M. Electroencephalographic Abnormalities are Common in COVID‐19 and are Associated with Outcomes |
title | Electroencephalographic Abnormalities are Common in COVID‐19 and are Associated with Outcomes |
title_full | Electroencephalographic Abnormalities are Common in COVID‐19 and are Associated with Outcomes |
title_fullStr | Electroencephalographic Abnormalities are Common in COVID‐19 and are Associated with Outcomes |
title_full_unstemmed | Electroencephalographic Abnormalities are Common in COVID‐19 and are Associated with Outcomes |
title_short | Electroencephalographic Abnormalities are Common in COVID‐19 and are Associated with Outcomes |
title_sort | electroencephalographic abnormalities are common in covid‐19 and are associated with outcomes |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8104061/ https://www.ncbi.nlm.nih.gov/pubmed/33704826 http://dx.doi.org/10.1002/ana.26060 |
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