ArticleJournal of clinical monitoring and computing2023
Evaluation of patient state index, bispectral index, and entropy during drug induced sleep endoscopy with dexmedetomidine.
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.
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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.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Comparative analysis of processed EEG indices and entropy-based metrics for assessing anesthetic depth: a scoping review - PRISMA-ScR.BMC biomedical engineering · 2026Article
- Dexmedetomidine-Loaded Hydrogel Microneedles Alleviate Acute Inflammatory Visceral Pain in Mice.Gels (Basel, Switzerland) · 2025Article
- From Awake to Minimalist Spontaneous Ventilation Thoracoscopic Lung Surgery: An Ongoing Journey.Journal of clinical medicine · 2025Article
- Assessing Sedation Depth with PSI in Elderly ERCP Patients: A Prospective Cohort Study.Clinical interventions in aging · 2025Article
- The influence of different application patterns of propofol on the sedation courses during drug-induced sleep endoscopy.Laryngoscope investigative otolaryngology · 2024Article
- Improving the benefit of processed EEG monitors: it's not about the car but the driver.Journal of clinical monitoring and computing · 2023Article
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7 authors at 1 institution in 1 country.
Funding
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.
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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.