Literature DB >> 31880629

Practical Training of Anesthesia Clinicians in Electroencephalogram-Based Determination of Hypnotic Depth of General Anesthesia.

Anna Maria Bombardieri1, Troy S Wildes1, Tracey Stevens1, Maxim Wolfson1, Rachel Steinhorn2, Arbi Ben Abdallah1, Jamie Sleigh3, Michael S Avidan1.   

Abstract

BACKGROUND: Electroencephalographic (EEG) brain monitoring during general anesthesia provides information on hypnotic depth. We hypothesized that anesthesia clinicians could be trained rapidly to recognize typical EEG waveforms occurring with volatile-based general anesthesia.
METHODS: This was a substudy of a trial testing the hypothesis that EEG-guided anesthesia prevents postoperative delirium. The intervention was a 35-minute training session, summarizing typical EEG changes with volatile-based anesthesia. Participants completed a preeducational test, underwent training, and completed a posteducational test. For each question, participants indicated whether the EEG was consistent with (1) wakefulness, (2) non-slow-wave anesthesia, (3) slow-wave anesthesia, or (4) burst suppression. They also indicated whether the processed EEG (pEEG) index was discordant with the EEG waveforms. Four clinicians, experienced in intraoperative EEG interpretation, independently evaluated the EEG waveforms, resolved disagreements, and provided reference answers. Ten questions were assessed in the preeducational test and 9 in the posteducational test.
RESULTS: There were 71 participants; 13 had previous anesthetic-associated EEG interpretation training. After training, the 58 participants without prior training improved at identifying dominant EEG waveforms (median 60% with interquartile range [IQR], 50%-70% vs 78% with IQR, 67%-89%; difference: 18%; 95% confidence interval [CI], 8-27; P < .001). In contrast, there was no significant improvement following the training for the 13 participants who reported previous training (median 70% with IQR, 60%-80% vs 67% with IQR, 67%-78%; difference: -3%; 95% CI, -18 to 11; P = .88). The difference in the change between the pre- and posteducational session for the previously untrained versus previously trained was statistically significant (difference in medians: 21%; 95% CI, 2-28; P = .005). Clinicians without prior training also improved in identifying discordance between the pEEG index and the EEG waveform (median 60% with IQR, 40%-60% vs median 100% with IQR, 75%-100%; difference: 40%; 95% CI, 30-50; P < .001). Clinicians with prior training showed no significant improvement (median 60% with IQR, 60%-80% vs 75% with IQR, 75%-100%; difference: 15%; 95% CI, -16 to 46; P = .16). Regarding the identification of discordance, the difference in the change between the pre- and posteducational session for the previously untrained versus previously trained was statistically significant (difference in medians: 25%; 95% CI, 5-45; P = .012).
CONCLUSIONS: A brief training session was associated with improvements in clinicians without prior EEG training in (1) identifying EEG waveforms corresponding to different hypnotic depths and (2) recognizing when the hypnotic depth suggested by the EEG was discordant with the pEEG index.

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Mesh:

Year:  2020        PMID: 31880629     DOI: 10.1213/ANE.0000000000004537

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  7 in total

1.  Processed Electroencephalogram-Based Monitoring to Guide Sedation in Critically Ill Adult Patients: Recommendations from an International Expert Panel-Based Consensus.

Authors:  Frank A Rasulo; Philip Hopkins; Francisco A Lobo; Pierre Pandin; Basil Matta; Carla Carozzi; Stefano Romagnoli; Anthony Absalom; Rafael Badenes; Thomas Bleck; Anselmo Caricato; Jan Claassen; André Denault; Cristina Honorato; Saba Motta; Geert Meyfroidt; Finn Michael Radtke; Zaccaria Ricci; Chiara Robba; Fabio S Taccone; Paul Vespa; Ida Nardiello; Massimo Lamperti
Journal:  Neurocrit Care       Date:  2022-07-27       Impact factor: 3.532

2.  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 3.  Use of Processed Electroencephalography in the Clinical Setting.

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

4.  Loss of spectral alpha power during spine surgery: what could be wrong?

Authors:  Francisco A Lobo; Susana Vacas; Marusa Naranjo
Journal:  J Clin Monit Comput       Date:  2021-05-15       Impact factor: 1.977

5.  Analysis of the Clinical Effect of Music Combined with Hypnosis on Labor Analgesia Based on Data Mining.

Authors:  Jie Chen; Yaer Chen; Fang Wang; Chunbo Qiu
Journal:  J Healthc Eng       Date:  2021-10-15       Impact factor: 2.682

Review 6.  Mitigation of perioperative neurocognitive disorders: A holistic approach.

Authors:  Seyed A Safavynia; Peter A Goldstein; Lisbeth A Evered
Journal:  Front Aging Neurosci       Date:  2022-07-27       Impact factor: 5.702

Review 7.  Burst Suppression During General Anesthesia and Postoperative Outcomes: Mini Review.

Authors:  Niti Pawar; Odmara L Barreto Chang
Journal:  Front Syst Neurosci       Date:  2022-01-07
  7 in total

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