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EEG response of dexmedetomidine during drug induced sleep endoscopy

INTRODUCTION: Dexmedetomidine is one of the anesthetics of choice for drug induced sleep endoscopy (DISE), with advantages including limited respiratory depression, analgesia, and decreased incidence of emergence delirium. However, challenges with determining sedation levels and prolonged recovery h...

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Autores principales: Han, Lichy, Drover, David R., Chen, Marianne C., Saxena, Amit R., Eagleman, Sarah L., Nekhendzy, Vladimir, Pritchard, Angelica, Capasso, Robson
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10375416/
https://www.ncbi.nlm.nih.gov/pubmed/37521700
http://dx.doi.org/10.3389/fnins.2023.1144141
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author Han, Lichy
Drover, David R.
Chen, Marianne C.
Saxena, Amit R.
Eagleman, Sarah L.
Nekhendzy, Vladimir
Pritchard, Angelica
Capasso, Robson
author_facet Han, Lichy
Drover, David R.
Chen, Marianne C.
Saxena, Amit R.
Eagleman, Sarah L.
Nekhendzy, Vladimir
Pritchard, Angelica
Capasso, Robson
author_sort Han, Lichy
collection PubMed
description INTRODUCTION: Dexmedetomidine is one of the anesthetics of choice for drug induced sleep endoscopy (DISE), with advantages including limited respiratory depression, analgesia, and decreased incidence of emergence delirium. However, challenges with determining sedation levels and prolonged recovery have limited its usage. An improved understanding of the effect of dexmedetomidine on the level of sedation and the corresponding electroencephalographic (EEG) changes could help overcome these barriers. METHODS: Fifty-one patients received dexmedetomidine sedation with Richmond Agitation-Sedation Scale (RASS) score assessment and continuous EEG monitoring via SedLine for DISE. We constructed a pharmacokinetic model to determine continuous dexmedetomidine blood concentration. From the SedLine, we extracted the patient state index (PSI), and from the EEG we calculated the spectral edge frequency 95% (SEF95) and the correlation dimension (CD), a type of fractal dimension used to assess the complexity of a system. These metrics were subsequently compared against one another and with the dexmedetomidine concentration. RESULTS: Our pharmacokinetic model yielded a two-compartment model with volumes of 51.8 L and 106.2 L, with clearances of 69.5 and 168.9 L/h, respectively, and a time to effect of 9 min, similar to prior studies. Based on this model, decreasing RASS score, SEF95, CD, and PSI were all significantly associated with increasing dexmedetomidine concentration (p < 0.001, p = 0.006, p < 0.001 respectively). The CD, SEF95, and PSI better captured the effects of increasing dexmedetomidine concentration as compared to the RASS score. Simulating dexmedetomidine concentration based on titration to target levels derived from CD and PSI confirmed commonly used dexmedetomidine infusion dosages. CONCLUSION: Dexmedetomidine use for DISE confirmed previous pharmacokinetic models seen with dexmedetomidine. Complex EEG metrics such as PSI and CD, as compared to RASS score and SEF95, better captured changes in brain state from dexmedetomidine and have potential to improve the monitoring of dexmedetomidine sedation.
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spelling pubmed-103754162023-07-29 EEG response of dexmedetomidine during drug induced sleep endoscopy Han, Lichy Drover, David R. Chen, Marianne C. Saxena, Amit R. Eagleman, Sarah L. Nekhendzy, Vladimir Pritchard, Angelica Capasso, Robson Front Neurosci Neuroscience INTRODUCTION: Dexmedetomidine is one of the anesthetics of choice for drug induced sleep endoscopy (DISE), with advantages including limited respiratory depression, analgesia, and decreased incidence of emergence delirium. However, challenges with determining sedation levels and prolonged recovery have limited its usage. An improved understanding of the effect of dexmedetomidine on the level of sedation and the corresponding electroencephalographic (EEG) changes could help overcome these barriers. METHODS: Fifty-one patients received dexmedetomidine sedation with Richmond Agitation-Sedation Scale (RASS) score assessment and continuous EEG monitoring via SedLine for DISE. We constructed a pharmacokinetic model to determine continuous dexmedetomidine blood concentration. From the SedLine, we extracted the patient state index (PSI), and from the EEG we calculated the spectral edge frequency 95% (SEF95) and the correlation dimension (CD), a type of fractal dimension used to assess the complexity of a system. These metrics were subsequently compared against one another and with the dexmedetomidine concentration. RESULTS: Our pharmacokinetic model yielded a two-compartment model with volumes of 51.8 L and 106.2 L, with clearances of 69.5 and 168.9 L/h, respectively, and a time to effect of 9 min, similar to prior studies. Based on this model, decreasing RASS score, SEF95, CD, and PSI were all significantly associated with increasing dexmedetomidine concentration (p < 0.001, p = 0.006, p < 0.001 respectively). The CD, SEF95, and PSI better captured the effects of increasing dexmedetomidine concentration as compared to the RASS score. Simulating dexmedetomidine concentration based on titration to target levels derived from CD and PSI confirmed commonly used dexmedetomidine infusion dosages. CONCLUSION: Dexmedetomidine use for DISE confirmed previous pharmacokinetic models seen with dexmedetomidine. Complex EEG metrics such as PSI and CD, as compared to RASS score and SEF95, better captured changes in brain state from dexmedetomidine and have potential to improve the monitoring of dexmedetomidine sedation. Frontiers Media S.A. 2023-07-14 /pmc/articles/PMC10375416/ /pubmed/37521700 http://dx.doi.org/10.3389/fnins.2023.1144141 Text en Copyright © 2023 Han, Drover, Chen, Saxena, Eagleman, Nekhendzy, Pritchard and Capasso. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Han, Lichy
Drover, David R.
Chen, Marianne C.
Saxena, Amit R.
Eagleman, Sarah L.
Nekhendzy, Vladimir
Pritchard, Angelica
Capasso, Robson
EEG response of dexmedetomidine during drug induced sleep endoscopy
title EEG response of dexmedetomidine during drug induced sleep endoscopy
title_full EEG response of dexmedetomidine during drug induced sleep endoscopy
title_fullStr EEG response of dexmedetomidine during drug induced sleep endoscopy
title_full_unstemmed EEG response of dexmedetomidine during drug induced sleep endoscopy
title_short EEG response of dexmedetomidine during drug induced sleep endoscopy
title_sort eeg response of dexmedetomidine during drug induced sleep endoscopy
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10375416/
https://www.ncbi.nlm.nih.gov/pubmed/37521700
http://dx.doi.org/10.3389/fnins.2023.1144141
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