Literature DB >> 10536541

Comparison of bispectral EEG analysis and auditory evoked potentials for monitoring depth of anaesthesia during propofol anaesthesia.

R J Gajraj1, M Doi, H Mantzaridis, G N Kenny.   

Abstract

We have compared the auditory evoked potential index (AEPIndex) and bispectral index (BIS) for monitoring depth of anaesthesia in spontaneously breathing surgical patients. Twenty patients (aged 17-49 yr) undergoing day surgery were anaesthetized with computer-controlled infusions of propofol. The mean (SD and range) of each measurement was determined during consciousness and unconsciousness and at specific times during the perioperative period. Mean values for AEPIndex during consciousness and unconsciousness were 74.5 (SD 14.7) 36.7 (7.1), respectively. BIS had mean values of 89.5 (SD 4.6) during consciousness and 48.8 (16.4) during unconsciousness. AEPIndex and BIS were greater during consciousness compared with during unconsciousness. The average awake values of AEPIndex were significantly higher than all average values during unconsciousness but this was not the case for BIS. BIS increased gradually during emergence from anaesthesia and may therefore be able to predict recovery of consciousness at the end of anaesthesia. AEPIndex was more able to detect the transition from unconsciousness to consciousness.

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Year:  1999        PMID: 10536541     DOI: 10.1093/bja/82.5.672

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


  10 in total

1.  Comparison of the EEG-based SNAP index and the Bispectral (BIS) index during sevoflurane-nitrous oxide anaesthesia.

Authors:  P Ruiz-Gimeno; M Soro; A Pérez-Solaz; M Carrau; F J Belda; J L Jover; G Aguilar
Journal:  J Clin Monit Comput       Date:  2006-01-25       Impact factor: 2.502

2.  Clinical study on effect of electro-acupuncture combined with different anesthetics on auditory-evoked potential index.

Authors:  Li Lu; Sheng-jin Ge; Zhang-gang Xue
Journal:  Chin J Integr Med       Date:  2006-03       Impact factor: 1.978

3.  Composite-, plain-auditory evoked potentials index and bispectral index to measure the effects of sevoflurane.

Authors:  Tomoki Nishiyama
Journal:  J Clin Monit Comput       Date:  2013-02-17       Impact factor: 2.502

Review 4.  Anaesthetic interventions for prevention of awareness during surgery.

Authors:  Anthony G Messina; Michael Wang; Marshall J Ward; Chase C Wilker; Brett B Smith; Daniel P Vezina; Nathan Leon Pace
Journal:  Cochrane Database Syst Rev       Date:  2016-10-18

5.  The Use of Middle Latency Auditory Evoked Potentials (MLAEP) as Methodology for Evaluating Sedation Level in Propofol-Drug Induced Sleep Endoscopy (DISE) Procedure.

Authors:  Michele Arigliani; Domenico M Toraldo; Enrico Ciavolino; Caterina Lattante; Luana Conte; Serena Arima; Caterina Arigliani; Antonio Palumbo; Michele De Benedetto
Journal:  Int J Environ Res Public Health       Date:  2021-02-20       Impact factor: 3.390

6.  Ongoing spontaneous activity controls access to consciousness: a neuronal model for inattentional blindness.

Authors:  Stanislas Dehaene; Jean-Pierre Changeux
Journal:  PLoS Biol       Date:  2005-04-12       Impact factor: 8.029

Review 7.  Myocardial revascularization for the elderly: current options, role of off-pump coronary artery bypass grafting and outcomes.

Authors:  Shahzad G Raja
Journal:  Curr Cardiol Rev       Date:  2012-02

8.  Composite auditory evoked potentials index is not a good indicator of depth of anesthesia in propofol-fentanyl anesthesia: Randomized comparative study.

Authors:  Tomoki Nishiyama
Journal:  J Anaesthesiol Clin Pharmacol       Date:  2013-07

9.  The Alaris auditory evoked potential monitor as an indicator of seizure inducibility and duration during electroconvulsive therapy: an observational study.

Authors:  Hsing-Hao Huang; Chun-Yu Wu; Feng-Sheng Lin; Yi-Ping Wang; Wei-Zen Sun; Chih-Peng Lin; Shou-Zen Fan
Journal:  BMC Anesthesiol       Date:  2014-05-13       Impact factor: 2.217

10.  Computational Depth of Anesthesia via Multiple Vital Signs Based on Artificial Neural Networks.

Authors:  Muammar Sadrawi; Shou-Zen Fan; Maysam F Abbod; Kuo-Kuang Jen; Jiann-Shing Shieh
Journal:  Biomed Res Int       Date:  2015-10-13       Impact factor: 3.411

  10 in total

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