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Record W2809143545 · doi:10.1213/ane.0000000000003590

Electroencephalographic Arousal Patterns Under Dexmedetomidine Sedation

2018· article· en· W2809143545 on OpenAlexaff
Jamie Sleigh, Susana Vacas, Alana M. Flexman, Pekka Talke

Bibliographic record

VenueAnesthesia & Analgesia · 2018
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Sedative Agents
Canadian institutionsVancouver General HospitalUniversity of British Columbia
Fundersnot available
KeywordsDexmedetomidineSedationMedicineAnesthesiaElectroencephalographyArousalPsychologyNeurosciencePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: The depth of dexmedetomidine-induced sedation is difficult to assess without arousing the patient. We evaluated frontal electroencephalogram (EEG) as an objective measure of dexmedetomidine-induced sedation. Our aims were to characterize the response patterns of EEG during a wide range of dexmedetomidine-induced sedation and to determine which spectral power best correlated with assessed levels of dexmedetomidine-induced sedation. METHODS: Sedline EEG sensor was positioned on the forehead of 16 volunteers. Frontal EEG data were collected at 250 Hz using the Sedline monitor. A computer-controlled infusion pump was used to infuse dexmedetomidine to four 15-minute target plasma concentrations of 0.3, 0.6, 1.2, and 2.4 ng/mL. Arterial blood samples for dexmedetomidine plasma concentration and sedation (self-reported numerical rating scale) and arousal were measured at baseline and at the end of each infusion step. The EEG signal was used to estimate spectral power in sequential 4-second data segments with 75% overlap for 3 power bands: delta = 0.5-1.5 Hz, alpha = 9-14 Hz, beta = 15-24 Hz. We quantified the relationships among the plasma concentrations of dexmedetomidine, level of sedation, and various EEG parameters. RESULTS: EEG data at the end of the dexmedetomidine infusion steps show progressive loss of high frequencies (beta) and increase in alpha and delta powers, with increasing dexmedetomidine concentrations. Beta prearousal spectral power was best in predicting dexmedetomidine-induced level of sedation (R = -0.60, 95% CI, -0.43 to -0.75). The respective values for delta and alpha powers were R = 0.28 (95% CI, 0.03-0.45) and R = 0.16 (95% CI, -0.09 to 0.38). When the beta power has dropped below -16 dB or the delta power is above 15 dB, the subjects show moderate to deep levels of sedation. When awakening the subject, there is a reduction in power in the delta and alpha bands at the 0.6, 1.2, and 2.4 ng/mL dexmedetomidine target levels (P < .001 for all). In beta band, there is a rapid awakening-induced increase in power (P < .001) followed by a slow return toward baseline values. After arousing the subjects, the EEG powers returned toward baseline values significantly slower than our clinical observation of the subjects' wakefulness would have suggested. CONCLUSIONS: Using a wide range of dexmedetomidine doses, we found that frontal EEG beta power of less than -16 dB and/or a delta power of over 15 dB was associated with a state of moderate to deep sedation and that poststimulus return of EEG powers toward baseline values took significantly longer than expected from observation of the arousal response. It is unclear whether these observations are robust enough for clinical applicability.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.277
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations33
Published2018
Admission routes1
Has abstractyes

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