Literature DB >> 3631609

Closed-loop feedback control of methohexital anesthesia by quantitative EEG analysis in humans.

H Schwilden, J Schüttler, H Stoeckel.   

Abstract

A combined pharmacokinetic and pharmacodynamic model of methohexital was used to establish and evaluate feedback control of methohexital anesthesia in 13 volunteers. The median frequency of the EEG power spectrum served as the pharmacodynamic variable constituting feedback. Median frequency values from 2-3 Hz were chosen as the desired EEG level (set-point). In 11 volunteers, the feedback system succeeded in maintaining a satisfactory depth of anesthesia (i.e., unresponsiveness to verbal commands and tactile stimuli). During feedback control, 75% of all measured median frequency values were in the preset range of 2-3 Hz. This distribution of median frequency was obtained by applying random stimulation (six different acoustic and tactile stimuli) to the volunteers approximately every 1.5 min. The decrease of median frequency from baseline to anesthetic values was primarily induced by increasing the fractional power in the frequency band of 0.5-2 Hz from 12.6 +/- 4.5% (mean +/- SD) to 46.0 +/- 2.5%. The median time to recovery (as defined by opening eyes on command) after cessation of the feedback control period was 20.6 min (10.7-44.5 min) when median EEG frequency was 5.2 Hz (4.7-8.4 Hz). The average requirement of methohexital (mean +/- SD) during the 2 h was 1.02 +/- 0.16 g. It is concluded that pharmacokinetic-pharmacodynamic models of intravenous anesthetics established previously may be used to form a suitable background for model-based feedback control of anesthesia by quantitative EEG analysis. This approach gives a possible solution to the problem of adapting pharmacokinetic and pharmacodynamic data to individuals when using population mean data as starting values for drug therapy.

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Year:  1987        PMID: 3631609     DOI: 10.1097/00000542-198709000-00011

Source DB:  PubMed          Journal:  Anesthesiology        ISSN: 0003-3022            Impact factor:   7.892


  13 in total

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Authors:  J W Mandema; M Danhof
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Review 3.  [Pharmacokinetic-pharmacodynamic models for inhaled anaesthetics].

Authors:  S Kreuer; J Bruhn; W Wilhelm; T Bouillon
Journal:  Anaesthesist       Date:  2007-06       Impact factor: 1.041

4.  Application of semilinear canonical correlation to the measurement of opioid drug effect.

Authors:  K M Gregg; J R Varvel; S L Shafer
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5.  Influence of real-time Bayesian forecasting of pharmacokinetic parameters on the precision of a rocuronium target-controlled infusion.

Authors:  Cyrus Motamed; Jean-Michel Devys; Bertrand Debaene; Valérie Billard
Journal:  Eur J Clin Pharmacol       Date:  2012-02-19       Impact factor: 2.953

6.  A closed-loop anesthetic delivery system for real-time control of burst suppression.

Authors:  Max Y Liberman; Shinung Ching; Jessica Chemali; Emery N Brown
Journal:  J Neural Eng       Date:  2013-06-07       Impact factor: 5.379

Review 7.  Pharmacokinetics and pharmacodynamics of sedatives and analgesics in the treatment of agitated critically ill patients.

Authors:  B K Wagner; D A O'Hara
Journal:  Clin Pharmacokinet       Date:  1997-12       Impact factor: 6.447

8.  Automated Detection of Benzodiazepine Dosage in ICU Patients through a Computational Analysis of Electrocardiographic Data.

Authors:  Maxwell T Spadafore; Zeeshan Syed; Ilan S Rubinfeld
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

9.  Real-time closed-loop control in a rodent model of medically induced coma using burst suppression.

Authors:  ShiNung Ching; Max Y Liberman; Jessica J Chemali; M Brandon Westover; Jonathan D Kenny; Ken Solt; Patrick L Purdon; Emery N Brown
Journal:  Anesthesiology       Date:  2013-10       Impact factor: 7.892

10.  EEG bispectrum predicts movement during thiopental/isoflurane anesthesia.

Authors:  P S Sebel; S M Bowles; V Saini; N Chamoun
Journal:  J Clin Monit       Date:  1995-03
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