| Assessing the depth of hypnosis of xenon anaesthesia with the EEG. | |
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MedLine Citation:
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PMID: 20180643 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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Xenon was approved as an inhaled anaesthetic in Germany in 2005 and in other countries of the European Union in 2007. Owing to its low blood/gas partition coefficient, xenons effects on the central nervous system show a fast onset and offset and, even after long xenon anaesthetics, the wake-up times are very short. The aim of this study was to examine which electroencephalogram (EEG) stages are reached during xenon application and whether these stages can be identified by an automatic EEG classification. Therefore, EEG recordings were performed during xenon anaesthetics (EEG monitor: Narcotrend®). A total of 300 EEG epochs were assessed visually with regard to the EEG stages. These epochs were also classified automatically by the EEG monitor Narcotrend® using multivariate algorithms. There was a high correlation between visual and automatic classification (Spearman's rank correlation coefficient r=0.957, prediction probability Pk=0.949). Furthermore, it was observed that very deep stages of hypnosis were reached which are characterised by EEG activity in the low frequency range (delta waves). The burst suppression pattern was not seen. In deep hypnosis, in contrast to the xenon EEG, the propofol EEG was characterised by a marked superimposed higher frequency activity. To ensure an optimised dosage for the single patient, anaesthetic machines for xenon should be combined with EEG monitoring. To date, only a few anaesthetic machines for xenon are available. Because of the high price of xenon, new and further developments of machines focus on optimizing xenon consumption. |
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Authors:
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Ralph Stuttmann; Arthur Schultz; Thomas Kneif; Terence Krauss; Barbara Schultz |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Biomedizinische Technik. Biomedical engineering Volume: 55 ISSN: 1862-278X ISO Abbreviation: Biomed Tech (Berl) Publication Date: 2010 Apr |
Date Detail:
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Created Date: 2010-04-06 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 1262533 Medline TA: Biomed Tech (Berl) Country: Germany |
Other Details:
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Languages: eng Pagination: 77-82 Citation Subset: IM |
Affiliation:
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Clinic of Anaesthesiology, Intensive Care and Emergency Medicine, Pain Centre, Berufsgenossenschaftliche Kliniken Bergmannstrost, Halle/Saale, Germany. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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