Literature DB >> 17652076

Can anaesthetists be taught to interpret the effects of general anaesthesia on the electroencephalogram? Comparison of performance with the BIS and spectral entropy.

J P Barnard1, C Bennett, L J Voss, J W Sleigh.   

Abstract

BACKGROUND: Unlike the other physiological waveforms monitored in anaesthesia, the EEG lacks a regularly repeating pattern, implying that it would be very difficult for an anaesthetist to obtain any useful information from the raw EEG. There are, however, clear changes in the EEG caused by GABA-ergic anaesthetic agents. The anaesthetized EEG still looks like a random waveform, but clearly a different random waveform from that seen when conscious.
METHODS: The aim of this study was to assess how 40 anaesthetists would perform at interpreting intra-operative EEGs compared with two processed EEG (pEEG) monitors, BIS and entropy, after a short educational presentation. Short segments of EEGs were used from the pre-induction phase, the intra-operative phase with adequate surgical anaesthesia, and the transition phase between these two states.
RESULTS: While anaesthetists' performance varied widely, most could reliably differentiate an anaesthetized from a conscious EEG. Further, both humans (41% wrong) and machines (30% wrong) made mistakes. Unlike the anaesthetists, the pEEG monitors did not make a major error (i.e. producing a number in the conscious range (>85) when analysing an anaesthetized EEG or the converse error).
CONCLUSION: A brief PowerPoint presentation enables anaesthetists to recognize the effects on the EEG of GABA-ergic anaesthetic agents. In the clinical context, it remains likely that the combination of a pEEG monitor that clearly presents the EEG and a clinician who has a good, basic understanding of, and a willingness to look at, the raw EEG will result in more accurate interpretation of the intra-operative EEG.

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Year:  2007        PMID: 17652076     DOI: 10.1093/bja/aem198

Source DB:  PubMed          Journal:  Br J Anaesth        ISSN: 0007-0912            Impact factor:   9.166


  10 in total

Review 1.  Clinical Electroencephalography for Anesthesiologists: Part I: Background and Basic Signatures.

Authors:  Patrick L Purdon; Aaron Sampson; Kara J Pavone; Emery N Brown
Journal:  Anesthesiology       Date:  2015-10       Impact factor: 7.892

2.  Relationship between bispectral index values and volatile anesthetic concentrations during the maintenance phase of anesthesia in the B-Unaware trial.

Authors:  Elizabeth L Whitlock; Alexander J Villafranca; Nan Lin; Ben J Palanca; Eric Jacobsohn; Kevin J Finkel; Lini Zhang; Beth A Burnside; Heiko A Kaiser; Alex S Evers; Michael S Avidan
Journal:  Anesthesiology       Date:  2011-12       Impact factor: 7.892

Review 3.  Brain monitoring with electroencephalography and the electroencephalogram-derived bispectral index during cardiac surgery.

Authors:  Miklos D Kertai; Elizabeth L Whitlock; Michael S Avidan
Journal:  Anesth Analg       Date:  2012-01-17       Impact factor: 5.108

4.  Developing a Real-Time Electroencephalogram-Guided Anesthesia-Management Curriculum for Educating Residents: A Single-Center Randomized Controlled Trial.

Authors:  Miles Berger; Sarada S Eleswarpu; Mary Cooter Wright; Anna M Ray; Sarah A Wingfield; Mitchell T Heflin; Shahrukh Bengali; Ankeet D Udani
Journal:  Anesth Analg       Date:  2022-01-01       Impact factor: 6.627

Review 5.  Use of Processed Electroencephalography in the Clinical Setting.

Authors:  David A Mulvey; Peter Klepsch
Journal:  Curr Anesthesiol Rep       Date:  2020-10-23

6.  Comparing propofol anaesthesia guided by Bispectral Index monitoring and frontal EEG wave analysis with standard monitoring in laparoscopic surgery: protocol for the 'EEG in General Anaesthesia - More Than Only a Bispectral Index' Trial, a multicentre, double-blind, randomised controlled trial.

Authors:  Bettina U Gruber; Valerie Girsberger; Lukas Kusstatscher; Simon Funk; Anita Luethy; Lien Jakus; Julien Maillard; Luzius A Steiner; Salome Dell-Kuster; Christoph S Burkhart
Journal:  BMJ Open       Date:  2022-06-10       Impact factor: 3.006

7.  Burst-suppression ratio underestimates absolute duration of electroencephalogram suppression compared with visual analysis of intraoperative electroencephalogram.

Authors:  W G Muhlhofer; R Zak; T Kamal; B Rizvi; L P Sands; M Yuan; X Zhang; J M Leung
Journal:  Br J Anaesth       Date:  2017-05-01       Impact factor: 9.166

8.  Teaching Important Basic EEG Patterns of Bedside Electroencephalography to Critical Care Staffs: A Prospective Multicenter Study.

Authors:  Stephane Legriel; Gwenaëlle Jacq; Amandine Lalloz; Guillaume Geri; Pedro Mahaux; Cedric Bruel; Sandie Brochon; Benjamin Zuber; Cécile André; Krystel Dervin; Mathilde Holleville; Alain Cariou
Journal:  Neurocrit Care       Date:  2021-02       Impact factor: 3.210

9.  Brainstem Influence on Thalamocortical Oscillations during Anesthesia Emergence.

Authors:  Christopher M Scheib
Journal:  Front Syst Neurosci       Date:  2017-09-14

Review 10.  Multiparametric Monitoring of Hypnosis and Nociception-Antinociception Balance during General Anesthesia-A New Era in Patient Safety Standards and Healthcare Management.

Authors:  Alexandru Florin Rogobete; Ovidiu Horea Bedreag; Marius Papurica; Sonia Elena Popovici; Lavinia Melania Bratu; Andreea Rata; Claudiu Rafael Barsac; Andra Maghiar; Dragos Nicolae Garofil; Mihai Negrea; Laura Bostangiu Petcu; Daiana Toma; Corina Maria Dumbuleu; Samir Rimawi; Dorel Sandesc
Journal:  Medicina (Kaunas)       Date:  2021-02-02       Impact factor: 2.430

  10 in total

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