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Frontotemporal EEG to guide sedation in COVID-19 related acute respiratory distress syndrome
OBJECTIVE: To study if limited frontotemporal electroencephalogram (EEG) can guide sedation changes in highly infectious novel coronavirus disease 2019 (COVID-19) patients receiving neuromuscular blocking agent. METHODS: 98 days of continuous frontotemporal EEG from 11 consecutive patients was evalu...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Federation of Clinical Neurophysiology. Published by Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7817418/ https://www.ncbi.nlm.nih.gov/pubmed/33567379 http://dx.doi.org/10.1016/j.clinph.2021.01.003 |
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author | Michalak, Andrew J. Mendiratta, Anil Eliseyev, Andrey Ramnath, Brian Chung, Jane Rasnow, Jarret Reid, Lawrence Salerno, Steven García, Paul S. Agarwal, Sachin Roh, David Park, Soojin Bazil, Carl Claassen, Jan |
author_facet | Michalak, Andrew J. Mendiratta, Anil Eliseyev, Andrey Ramnath, Brian Chung, Jane Rasnow, Jarret Reid, Lawrence Salerno, Steven García, Paul S. Agarwal, Sachin Roh, David Park, Soojin Bazil, Carl Claassen, Jan |
author_sort | Michalak, Andrew J. |
collection | PubMed |
description | OBJECTIVE: To study if limited frontotemporal electroencephalogram (EEG) can guide sedation changes in highly infectious novel coronavirus disease 2019 (COVID-19) patients receiving neuromuscular blocking agent. METHODS: 98 days of continuous frontotemporal EEG from 11 consecutive patients was evaluated daily by an epileptologist to recommend reduction or maintenance of the sedative level. We evaluated the need to increase sedation in the 6 h following this recommendation. Post-hoc analysis of the quantitative EEG was correlated with the level of sedation using a machine learning algorithm. RESULTS: Eleven patients were studied for a total of ninety-eight sedation days. EEG was consistent with excessive sedation on 57 (58%) and adequate sedation on 41 days (42%). Recommendations were followed by the team on 59% (N = 58; 19 to reduce and 39 to keep the sedation level). In the 6 h following reduction in sedation, increases of sedation were needed in 7 (12%). Automatized classification of EEG sedation levels reached 80% (±17%) accuracy. CONCLUSIONS: Visual inspection of a limited EEG helped sedation depth guidance. In a secondary analysis, our data supported that this determination may be automated using quantitative EEG analysis. SIGNIFICANCE: Our results support the use of frontotemporal EEG for guiding sedation in patients with COVID-19. |
format | Online Article Text |
id | pubmed-7817418 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | International Federation of Clinical Neurophysiology. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78174182021-01-21 Frontotemporal EEG to guide sedation in COVID-19 related acute respiratory distress syndrome Michalak, Andrew J. Mendiratta, Anil Eliseyev, Andrey Ramnath, Brian Chung, Jane Rasnow, Jarret Reid, Lawrence Salerno, Steven García, Paul S. Agarwal, Sachin Roh, David Park, Soojin Bazil, Carl Claassen, Jan Clin Neurophysiol Article OBJECTIVE: To study if limited frontotemporal electroencephalogram (EEG) can guide sedation changes in highly infectious novel coronavirus disease 2019 (COVID-19) patients receiving neuromuscular blocking agent. METHODS: 98 days of continuous frontotemporal EEG from 11 consecutive patients was evaluated daily by an epileptologist to recommend reduction or maintenance of the sedative level. We evaluated the need to increase sedation in the 6 h following this recommendation. Post-hoc analysis of the quantitative EEG was correlated with the level of sedation using a machine learning algorithm. RESULTS: Eleven patients were studied for a total of ninety-eight sedation days. EEG was consistent with excessive sedation on 57 (58%) and adequate sedation on 41 days (42%). Recommendations were followed by the team on 59% (N = 58; 19 to reduce and 39 to keep the sedation level). In the 6 h following reduction in sedation, increases of sedation were needed in 7 (12%). Automatized classification of EEG sedation levels reached 80% (±17%) accuracy. CONCLUSIONS: Visual inspection of a limited EEG helped sedation depth guidance. In a secondary analysis, our data supported that this determination may be automated using quantitative EEG analysis. SIGNIFICANCE: Our results support the use of frontotemporal EEG for guiding sedation in patients with COVID-19. International Federation of Clinical Neurophysiology. Published by Elsevier B.V. 2021-03 2021-01-20 /pmc/articles/PMC7817418/ /pubmed/33567379 http://dx.doi.org/10.1016/j.clinph.2021.01.003 Text en © 2021 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Michalak, Andrew J. Mendiratta, Anil Eliseyev, Andrey Ramnath, Brian Chung, Jane Rasnow, Jarret Reid, Lawrence Salerno, Steven García, Paul S. Agarwal, Sachin Roh, David Park, Soojin Bazil, Carl Claassen, Jan Frontotemporal EEG to guide sedation in COVID-19 related acute respiratory distress syndrome |
title | Frontotemporal EEG to guide sedation in COVID-19 related acute respiratory distress syndrome |
title_full | Frontotemporal EEG to guide sedation in COVID-19 related acute respiratory distress syndrome |
title_fullStr | Frontotemporal EEG to guide sedation in COVID-19 related acute respiratory distress syndrome |
title_full_unstemmed | Frontotemporal EEG to guide sedation in COVID-19 related acute respiratory distress syndrome |
title_short | Frontotemporal EEG to guide sedation in COVID-19 related acute respiratory distress syndrome |
title_sort | frontotemporal eeg to guide sedation in covid-19 related acute respiratory distress syndrome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7817418/ https://www.ncbi.nlm.nih.gov/pubmed/33567379 http://dx.doi.org/10.1016/j.clinph.2021.01.003 |
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