Literature DB >> 1498300

Effects of fentanyl-diazepam-pancuronium anesthesia on heart rate variability: a spectral analysis.

T Komatsu1, T Kimura, V Sanchala, K Shibutani, Y Shimada.   

Abstract

The effects of induction of anesthesia with fentanyl, 62.1 +/- 7.9 micrograms/kg, diazepam, 0.21 +/- 0.08 mg/kg, and pancuronium on beat-to-beat heart rate variations were studied in seven patients undergoing cardiac surgery. Spectral analysis was used to determine the intensity of the variations in each of the two main frequency bands in which variations are known to occur: (1) high-frequency band, mediated by the parasympathetic nervous system, at the frequency band of respiration, and (2) the low-frequency band, mediated by both sympathetic and parasympathetic nervous systems, at 0.04-0.12 Hz. Both the mean low- and high-frequency band areas were significantly decreased after induction of anesthesia. The ratio of high-to-low frequency band areas increased significantly after induction of anesthesia, from 45% to 62% (P less than 0.05). These results suggest that fentanyl-diazepam-pancuronium anesthesia decreases total autonomic nervous system activity and alters the balance between parasympathetic and sympathetic activities. Thus, spectral analysis of heart rate variations during anesthesia may provide a quantitative measure of assessing the activity of the autonomic nervous system.

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Year:  1992        PMID: 1498300     DOI: 10.1016/1053-0770(92)90011-u

Source DB:  PubMed          Journal:  J Cardiothorac Vasc Anesth        ISSN: 1053-0770            Impact factor:   2.628


  7 in total

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3.  Variations of the analgesia nociception index during general anaesthesia for laparoscopic abdominal surgery.

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4.  Assessment of depth of midazolam sedation using objective parameters.

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5.  Differential effects of ketamine and midazolam on heart rate variability.

Authors:  T Komatsu; P K Singh; T Kimura; K Nishiwaki; K Bando; Y Shimada
Journal:  Can J Anaesth       Date:  1995-11       Impact factor: 5.063

6.  Coronary artery bypass surgery and longitudinal evaluation of the autonomic cardiovascular function.

Authors:  Pedro Paulo S Soares; Adalgiza M Moreno; Sérgio L D Cravo; Antonio Claudio L Nóbrega
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7.  Heart rate variability-derived features based on deep neural network for distinguishing different anaesthesia states.

Authors:  Jian Zhan; Zhuo-Xi Wu; Zhen-Xin Duan; Gui-Ying Yang; Zhi-Yong Du; Xiao-Hang Bao; Hong Li
Journal:  BMC Anesthesiol       Date:  2021-03-02       Impact factor: 2.217

  7 in total

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