Correlation between heart rate variability and haemodynamic fluctuation during induction of general anaesthesia: Comparison between linear and non-linear analysis

Anaesthesia

Volumn 62, Issue 2, 2007, Pages 117-121

  Fujiwara, Y ^a   Kurokawa, S ^a   Asakura, Y ^a   Wakao, Y ^a   Nishiwaki, K ^b   Komatsu, T ^a  

^a AICHI MEDICAL UNIVERSITY   (Japan)

^b NAGOYA UNIVERSITY GRADUATE SCHOOL OF MEDICINE   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ANESTHETIC AGENT; FENTANYL; PROPOFOL; VECURONIUM;

ADULT; AGED; ANESTHESIA INDUCTION; BLOOD PRESSURE FLUCTUATION; CONFERENCE PAPER; CONTROLLED STUDY; CORRELATION ANALYSIS; ENDOTRACHEAL INTUBATION; ENTROPY; FEMALE; HEART HEMODYNAMICS; HEART RATE; HEART RATE VARIABILITY; HUMAN; INTERMETHOD COMPARISON; LINEAR SYSTEM; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; NONLINEAR SYSTEM; PREOPERATIVE EVALUATION; SYSTOLIC BLOOD PRESSURE;

ADULT; AGED; AGED, 80 AND OVER; ANESTHESIA, GENERAL; ANESTHETICS, GENERAL; BLOOD PRESSURE; BODY CONSTITUTION; ELECTROCARDIOGRAPHY; ENTROPY; FEMALE; HEART RATE; HUMANS; INTUBATION, INTRATRACHEAL; MALE; MIDDLE AGED; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 33846206339     PISSN: 00032409     EISSN: 13652044     Source Type: Journal    
DOI: 10.1111/j.1365-2044.2006.04933.x     Document Type: Conference Paper

References (24)

1. Maguire AM, Kumar N, Parker JL, Rowbotham DJ, Thompson JP. Comparison of effects of remifentanil and alfentanil on cardiovascular response to tracheal intubation in hypertensive patients. British Journal of Anaesthesia 2001; 86: 90-3.
2. Thompson JP, Hall AP, Russell J, Cagney B, Robowtham DJ. Effect of remifentanil on the haemodynamic response to intubation. British Journal of Anaesthesia 1998; 80: 467-9.
3. Chraemmer-Jorgensen B, Hoilund-Carlsen PF, Marvin J, Christensen V. Lack of effect of intravenous lidocaine on hemodynamic responses to rapid sequence induction of general anaesthesia: A double-blind controlled clinical trial. Anesthesia and Analgesia 1986; 65: 1037-41.
4. Hamill JF, Bedford RF, Weaver DC, Colohan AR. Lidocaine before endotracheal intubation. Intravenous or laryngotracheal? Anesthesiology 1981; 55: 578-81.
5. Derbyshire DR, Smith G, Achola KJ. Effect of topical lignocaine on the sympathoadrenal responses to tracheal intubation. British Journal of Anaesthesia 1987; 59: 300-4.
6. Atlee JL, Dhamee MS, Olund TL, George V. The use of esmolol, nicardipine or their combination to blunt hemodynamic changes after laryngoscopy and tracheal intubation. Anesthesia and Analgesia 2000; 90: 280-5.
7. Knüttgen D, Trojan S, Weber M, Wolf M, Wappler F. Pre-operative measurement of heart rate variability in diabetics: A method to estimate blood pressure stability during anaesthesia induction. Anaesthstist 2005; 54: 442-9.
8. Hanss R, Bein B, Ledowski T, et al. Heart rate variability predicts severe hypotension after spinal anesthesia for elective cesarean delivery. Anesthesiology 2005; 102: 1086-93.
9. Hanss R, Bein B, Weseloh H, et al. Heart rate variability predicts severe hypotension after spinal anesthesia. Anesthesiology 2006; 104: 537-45.
10. Chamchad D, Arkoosh VA, Horrow JC, et al. Using heart rate variability to stratify risk of obstetric patients undergoing spinal anesthesia. Anesthesia and Analgesia 2004; 99: 1818-21.
11. Ohtomo N. New method of time series analysis and its application to Wolf's sunspot number data. Japanese Journal of Applied Physiology 1994; 33: 2821-31.
12. Sawada Y, Ohtomo N, Tanaka Y et al. New techinique for time series analysis combining the maximum entropy method and non-linear least squares method: Its value in heart rate variability analysis. Medical and Biology Engineering and Computing 1997; 35: 318-22.
13. Pincus SM, Goldberger AL. Physiological time-series analysis: What does regularity quantify? American Journal of Physiology 1994; 266: H1643-56.
14. Akselrod S, Gordon D, Ubel FA, et al. Power spectrum analysis of heart rate fluctuation: A quantitative probe of beat-to-beat cardiovascular control. Science 1981; 213: 220-2.
15. Schumacher A. Linear and nonlinear approaches to the analysis of R-R interval variability. Biology Research for Nursing 2004; 5: 211-21.
16. Katz MJ. Fractals and the analysis of waveforms. Computer in Biology and Medicine 1988; 18: 145-56.
17. Peng CK, Havlin S, Hausdorff JM, Mietus JE, Stanley HE, Goldberger AL. Fractal mechanisms and heart rate dynamics. Long-range correlations and their breakdown with disease. Journal of Electrocardiology 1995; 28 (Suppl.): 59-65.
18. Yamamoto Y, Nakamura Y, Sato H, Yamamoto M, Kato K, Hughson RL. On the fractal nature of heart rate variability in humans: Effects of vagal blockade. American Journal of Physiology 1995; 269: R830-7.
19. Rosenstein MT, Collins JJ, De Luca CJ. A practical method for calculating the largest Lyapunov exponents from small data sets. Physica D 1993; 65: 117-34.
20. Kaplan DT, Furman MI, Pincus SM, et al. Aging and the complexity of cardiovascular dynamics. Biophysical Journal 1991; 59: 945-9.
21. Pincus SM, Cummins TR, Haddad GG. Heart rate control in normal and aborted-SIDS infants. American Journal of Physiology 1993; 264: R638-46.
22. Estafanous FG, Brum JM, Ribeiro MP, et.al. Analysis of heart rate variability to assess hemodynamic alterations following induction of anesthesia. Journal of Cardiothoracic and Vascular Anesthesia 1992; 6: 651-7.
23. Kanaya N, Hirata N, Kurosawa S, Nakayama M, Namiki A. Differential effects of propofol and sevoflurane on heart rate variability. Anesthesiology 2003; 98: 34-40.
24. Win NN, Fukayama H, Kohase H, Umino M. The different effects of intravenous propofol and midazolam sedation on hemodynamic and heart rate variability. Anesthesia and Analgesia 2005; 101: 97-102.