Wavelet transform of heart rate variability to assess autonomic nervous system activity does not predict arousal from general anesthesia

Citation
V. Pichot et al., Wavelet transform of heart rate variability to assess autonomic nervous system activity does not predict arousal from general anesthesia, CAN J ANAES, 48(9), 2001, pp. 859-863
Citations number
8
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Aneshtesia & Intensive Care","Medical Research Diagnosis & Treatment
Journal title
CANADIAN JOURNAL OF ANAESTHESIA-JOURNAL CANADIEN D ANESTHESIE
ISSN journal
0832-610X → ACNP
Volume
48
Issue
9
Year of publication
2001
Pages
859 - 863
Database
ISI
SICI code
0832-610X(200110)48:9<859:WTOHRV>2.0.ZU;2-6
Abstract
Purpose: The relationship between autonomic nervous system (ANS) activity a nd general anesthesia has been explored. Studies have demonstrated partial recovery of heart rate variability (HRV), representative of ANS activity, i n the postoperative period, but the arousal period has not been precisely s tudied. The goals of this study were to analyze modifications of ANS activi ty during general anesthesia and, more particularly, around the arousal per iod, to look for predictors of arousal. Methods: We analyzed HRV changes using wavelet transform, a time-frequency analysis that, in contrast to Fourier transform, is able to assess abrupt c hanges of ANS activity. Seventeen patients (mean +/- SD age: 40.9 +/- 16.4 yr) under general anesthesia for hip or knee surgery, were included in the study. The analysis began one hour before anesthesia, focussed on eye openi ng, and ended three hours after arousal. Results: There was a dramatic decrease in HRV after induction, that extende d throughout anesthesia and represented a decrease in global autonomic regu lation with, however, a relative predominance of vagal tone. At the moment of eye opening, there was an abrupt change in HRV, representing a sudden sh ift of ANS balance towards the predominance of sympathetic activity, while none of these indices changed seconds before arousal. Conclusions: Wavelet analysis of HRV appears to be powerful tool to precise ly assess instantaneous changes of HRV during anesthesia. Using this method , there were no identifiable precursory HRV indices of arousal.