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Quantitative electroencephalographic analysis of delirium tremens development following alcohol‐withdrawal seizure based on a small number of male cases

INTRODUCTION: Seizures and delirium tremens (DTs) are recognized as severe alcohol‐withdrawal symptoms. Prolonged admission and serious complications associated with alcohol withdrawal are responsible for increased costs and use of medical and social resources. This study investigated the predictive...

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Autores principales: Yoon, Jee‐Eun, Mo, Heejung, Kim, Dong Wook, Im, Hee‐Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759131/
https://www.ncbi.nlm.nih.gov/pubmed/36306397
http://dx.doi.org/10.1002/brb3.2804
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author Yoon, Jee‐Eun
Mo, Heejung
Kim, Dong Wook
Im, Hee‐Jin
author_facet Yoon, Jee‐Eun
Mo, Heejung
Kim, Dong Wook
Im, Hee‐Jin
author_sort Yoon, Jee‐Eun
collection PubMed
description INTRODUCTION: Seizures and delirium tremens (DTs) are recognized as severe alcohol‐withdrawal symptoms. Prolonged admission and serious complications associated with alcohol withdrawal are responsible for increased costs and use of medical and social resources. This study investigated the predictive value of quantitative electroencephalography (QEEG) for developing alcohol‐related DTs after alcohol‐withdrawal seizure (AWS). METHODS: We compared differences in QEEG in patients after AWS (n = 13). QEEG was performed in the intensive care unit within 48 h of admission, including in age‐ and sex‐matched healthy controls. We also investigated the prognostic value of QEEG for the development of alcohol DTs after AWS in a retrospective, case‒control study. The spectral power of each band frequency and the ratio of the theta to alpha band (TAR) in the electroencephalogram were analyzed using iSyncBrain(®) (iMediSync, Inc., Korea). RESULTS: The beta frequency and the alpha frequency band power were significantly higher and lower, respectively, in patients than in age‐ and sex‐matched healthy controls. In AWS patients with DTs, the relative beta‐3 power was lower, particularly in the left frontal area, and the TAR was significantly higher in the central channel than in those without DTs. CONCLUSION: Quantitative EEG showed neuronal excitability and decreased cognitive activities characteristic of AWS associated with alcohol‐withdrawal state, and we demonstrated that quantitative EEG might be a helpful tool for detecting patients at a high risk of developing DTs during an alcohol‐dependence period.
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spelling pubmed-97591312022-12-20 Quantitative electroencephalographic analysis of delirium tremens development following alcohol‐withdrawal seizure based on a small number of male cases Yoon, Jee‐Eun Mo, Heejung Kim, Dong Wook Im, Hee‐Jin Brain Behav Original Articles INTRODUCTION: Seizures and delirium tremens (DTs) are recognized as severe alcohol‐withdrawal symptoms. Prolonged admission and serious complications associated with alcohol withdrawal are responsible for increased costs and use of medical and social resources. This study investigated the predictive value of quantitative electroencephalography (QEEG) for developing alcohol‐related DTs after alcohol‐withdrawal seizure (AWS). METHODS: We compared differences in QEEG in patients after AWS (n = 13). QEEG was performed in the intensive care unit within 48 h of admission, including in age‐ and sex‐matched healthy controls. We also investigated the prognostic value of QEEG for the development of alcohol DTs after AWS in a retrospective, case‒control study. The spectral power of each band frequency and the ratio of the theta to alpha band (TAR) in the electroencephalogram were analyzed using iSyncBrain(®) (iMediSync, Inc., Korea). RESULTS: The beta frequency and the alpha frequency band power were significantly higher and lower, respectively, in patients than in age‐ and sex‐matched healthy controls. In AWS patients with DTs, the relative beta‐3 power was lower, particularly in the left frontal area, and the TAR was significantly higher in the central channel than in those without DTs. CONCLUSION: Quantitative EEG showed neuronal excitability and decreased cognitive activities characteristic of AWS associated with alcohol‐withdrawal state, and we demonstrated that quantitative EEG might be a helpful tool for detecting patients at a high risk of developing DTs during an alcohol‐dependence period. John Wiley and Sons Inc. 2022-10-28 /pmc/articles/PMC9759131/ /pubmed/36306397 http://dx.doi.org/10.1002/brb3.2804 Text en © 2022 The Authors. Brain and Behavior published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Yoon, Jee‐Eun
Mo, Heejung
Kim, Dong Wook
Im, Hee‐Jin
Quantitative electroencephalographic analysis of delirium tremens development following alcohol‐withdrawal seizure based on a small number of male cases
title Quantitative electroencephalographic analysis of delirium tremens development following alcohol‐withdrawal seizure based on a small number of male cases
title_full Quantitative electroencephalographic analysis of delirium tremens development following alcohol‐withdrawal seizure based on a small number of male cases
title_fullStr Quantitative electroencephalographic analysis of delirium tremens development following alcohol‐withdrawal seizure based on a small number of male cases
title_full_unstemmed Quantitative electroencephalographic analysis of delirium tremens development following alcohol‐withdrawal seizure based on a small number of male cases
title_short Quantitative electroencephalographic analysis of delirium tremens development following alcohol‐withdrawal seizure based on a small number of male cases
title_sort quantitative electroencephalographic analysis of delirium tremens development following alcohol‐withdrawal seizure based on a small number of male cases
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759131/
https://www.ncbi.nlm.nih.gov/pubmed/36306397
http://dx.doi.org/10.1002/brb3.2804
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