Evidence map›Paper›PMID 36550344›Full record

ArticleJournal of clinical monitoring and computing2023

Evaluation of patient state index, bispectral index, and entropy during drug induced sleep endoscopy with dexmedetomidine.

Lichy Han, David R Drover, Marianne C Chen, Amit R Saxena, Sarah L Eagleman, Vladimir Nekhendzy, Robson Capasso

Abstract read
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In one paragraph

Article in Journal of clinical monitoring and computing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Lichy HanDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, 300 Pasteur Drive Room H3580 MC 5640, Stanford, CA, 94305-5117, USA. lhan2@stanford.edu.
David R DroverDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, 300 Pasteur Drive Room H3580 MC 5640, Stanford, CA, 94305-5117, USA.
Marianne C ChenDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, 300 Pasteur Drive Room H3580 MC 5640, Stanford, CA, 94305-5117, USA.
Amit R SaxenaDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, 300 Pasteur Drive Room H3580 MC 5640, Stanford, CA, 94305-5117, USA.
Sarah L EaglemanDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.
Vladimir NekhendzyDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, 300 Pasteur Drive Room H3580 MC 5640, Stanford, CA, 94305-5117, USA.
Robson CapassoDepartment of Otolaryngology, Head and Neck Surgery, Stanford University, Stanford, CA, USA.
Stanford University · US

Funding

Intracranial cortical network connectivity underlying complexity changes during anesthetic emergenceK99GM140215 · NIGMS · STANFORD UNIVERSITY · PI EAGLEMAN, SARAH · 2020 to 2021
$102k
NIH HHS 1K99GM140215
6 · The paper itself

Abstract

Multiple electroencephalographic (EEG) monitors and their associated EEG markers have been developed to aid in assessing the level of sedation in the operating room. While many studies have assessed the response of these markers to propofol sedation and anesthetic gases, few studies have compared these markers when using dexmedetomidine, an alpha-2 agonist. Fifty-one patients underwent drug induced sleep endoscopy with dexmedetomidine sedation. Continuous EEG was captured using SedLine (Masimo, Inc), and a playback system was used to extract the bispectral index (BIS) (Medtronic Inc), the patient state index (PSI) (Masimo, Inc), the state and response Entropy (GE Healthcare), and calculate the spectral edge frequency 95% (SEF95). Richmond Agitation-Sedation Scale (RASS) scores were assessed continually throughout the procedure and in recovery. We assessed the correlation between EEG markers and constructed ordinal logistic regression models to predict the RASS score and compare EEG markers. All three commercial EEG metrics were significantly associated with the RASS score (p < 0.001 for all metrics) whereas SEF95 alone was insufficient at characterizing dexmedetomidine sedation. PSI and Entropy achieved higher accuracy at predicing deeper levels of sedation as compared to BIS (PSI: 58.3%, Entropy: 58.3%, BIS: 44.4%). Lightening secondary to RASS score assessment is significantly captured by all three commercial EEG metrics (p < 0.001). Commercial EEG monitors can capture changes in the brain state associated with the RASS score during dexmedetomidine sedation. PSI and Entropy were highly correlated and may be better suited for assessing deeper levels of sedation.

Indexed as

DexmedetomidinePropofolElectroencephalographyEndoscopyEntropyHumansHypnotics and SedativesProcedural SedationSleepDexmedetomidineHypnotics and SedativesPropofolDepth of sedationDexmedetomidineEEG metricsEEG monitors

Identifiers

PMID36550344
OpenAlexW4312113237

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.