Ocena głębokości znieczulenia podczas wziewnej i dożylnej indukcji znieczulenia ogólnego

Hasak, Liudmila; Wujtewicz, Maria; Owczuk, Radosław

doi:10.5603/ait.2014.0044

Cited by 9 publications

(1 citation statement)

References 129 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Strategies to reduce the chance of awareness should be applied whenever possible, unless these increase the risk of other unfavorable outcomes. Postoperatively, patients should be asked questions designed to elicit reports of awareness experiences [39,40]. When intraoperative awareness is suspected, the responsible anesthesia providers, their departmental administrators, and quality assurance team members should activate a series of interventions aimed at defining the nature of the event and its causes, while minimizing its impact by providing supportive care to patients.…”

Section: Resultsmentioning

confidence: 99%

Unintended Return of Consciousness in a Patient during Surgery and General Anesthesia

Dąbrowski²,

et al. 2017

View full text Add to dashboard Cite

Section: Resultsmentioning

confidence: 99%

Unintended Return of Consciousness in a Patient during Surgery and General Anesthesia

Dąbrowski²,

et al. 2017

View full text Add to dashboard Cite

Continuity with caveats in anesthesia: state and response entropy of the EEG

Ebensperger,

Kreuzer,

Kratzer

et al. 2024

J Clin Monit Comput

View full text Add to dashboard Cite

The growing use of neuromonitoring in general anesthesia provides detailed insights into the effects of anesthetics on the brain. Our study focuses on the processed EEG indices State Entropy (SE), Response Entropy (RE), and Burst Suppression Ratio (BSR) of the GE EntropyTM Module, which serve as surrogate measures for estimating the level of anesthesia. While retrospectively analyzing SE and RE index values from patient records, we encountered a technical anomaly with a conspicuous distribution of index values. In this single-center, retrospective study, we analyzed processed intraoperative electroencephalographic (EEG) data from 15,608 patients who underwent general anesthesia. We employed various data visualization techniques, including histograms and heat maps, and fitted custom non-Gaussian curves. Individual patients’ anesthetic periods were evaluated in detail. To compare distributions, we utilized the Kolmogorov–Smirnov test and Kullback–Leibler divergence. The analysis also included the influence of the BSR on the distribution of SE and RE values. We identified distinct pillar indices for both SE and RE, i.e., index values with a higher probability of occurrence than others. These pillar index values were not age-dependent and followed a non-equidistant distribution pattern. This phenomenon occurs independently of the BSR distribution. SE and RE index values do not adhere to a continuous distribution, instead displaying prominent pillar indices with a consistent pattern of occurrence across all age groups. The specific features of the underlying algorithm responsible for this pattern remain elusive.

show abstract

Complex networks approach for depth of anesthesia assessment

Diykh

Wen

et al. 2018

Measurement

View full text Add to dashboard Cite

Ocena głębokości znieczulenia podczas wziewnej i dożylnej indukcji znieczulenia ogólnego

Abstract: We found a discrepancy in the evaluation of the depth of anaesthesia based on clinical criteria compared with evaluations based on entropy values during both intravenous and inhalational induction of general anaesthesia.

Cited by 9 publications

References 129 publications

Unintended Return of Consciousness in a Patient during Surgery and General Anesthesia

Unintended Return of Consciousness in a Patient during Surgery and General Anesthesia

Continuity with caveats in anesthesia: state and response entropy of the EEG

Complex networks approach for depth of anesthesia assessment

Contact Info

Product

Resources

About