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Record W4412983738 · doi:10.1097/aln.0000000000005696

Sedation-related Electroencephalographic Patterns in Acute Hypoxemic Respiratory Failure

2025· article· en· W4412983738 on OpenAlexaff
Antenor Rodrigues, Carlés Subirá, Adam Bizios, Magdy Younes, Bethany Gerardy, Rafael P. Fernández, Montserrat Batlle, Audery Kim, Dekel Stavi, Michael C. Sklar, Shaurya Taran, Elizabeth Wilcox, Irene Telías, Laurent Brochard

Bibliographic record

VenueAnesthesiology · 2025
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsMount Sinai HospitalUniversity of ManitobaSt. Michael's HospitalResearch ManitobaToronto Rehabilitation InstituteUniversity Health NetworkUniversity of WinnipegUniversity of Toronto
Fundersnot available
KeywordsSedationMedicineElectroencephalographyAnesthesiaBurst suppression

Abstract

fetched live from OpenAlex

BACKGROUND: There is no universal objective measure of the effect of sedation on brain activity and how to differentiate it from sleep. In patients with early acute hypoxemic respiratory failure (AHRF), the authors used the odds ratio product, an electroencephalography (EEG)-based metric used to quantify the sleep-wake continuum. Despite patients behaviorally appearing asleep, the authors observed and quantified novel EEG patterns previously unobserved during natural sleep, and hypothesized that these unnatural EEG patterns (EEG Ups ) reflect the effect of sedation. The objective of the study was to explore the relevance of EEG Ups (never or extremely rarely seen in sleep studies) and their association with sedation at the early phase of AHRF. METHODS: This was a prospective cohort study including patients mechanically ventilated for AHRF and Pa o2 /fraction of inspired oxygen less than 200 mmHg receiving various sedation-opioid regimens and doses as per clinical indication. Continuous EEG monitoring was performed from study inclusion until extubation, death, or up to 7 days. EEG quantified the relative power of each frequency band (slow delta, fast delta plus theta, alpha-sigma, beta) and determined the frequency of EEG Ups . RESULTS: A total 1,832 h of EEG recordings were analyzed (mean ± SD, 43 ± 25 h/patient) from 23 patients (median [interquartile range, 25 to 75%], 58 [48 to 70] yr; 87% male; Pa o2 /fraction of inspired oxygen, 150 [116 to 198] mmHg; intensive care unit mortality, 22%). EEG Ups accounted for 42% of the total recording time overall, differed among drug combinations, and exceeded 50% with some sedation-opioid combinations. Brief wake intrusions, a marker of physiologic sleep, were extremely low. EEG Ups prevalence was higher with sedation-opioid combinations ( P ≤ 0.029), high sedation dose ( P ≤ 0.035), and deeper clinical sedation score ( P ≤ 0.024), and was associated with intensive care unit mortality ( P < 0.001). CONCLUSIONS: Continuous intravenous sedation results in EEG Ups that are not present in natural sleep, correlate with dose of sedation, clinical sedation score, and clinical outcomes.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.645

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.267
Teacher spread0.260 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2025
Admission routes1
Has abstractyes

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