British Journal of Anaesthesia 1998; 81: 333–337 Respiratory sinus arrhythmia and clinical signs of anaesthesia in children C. M. BLUES AND C. J. D. POMFRETT Summary We have investigated changes in respiratory sinus arrhythmia (RSA) and compared these with clinical signs of anaesthesia in children. Children aged 3–10 yr were anaesthetized by gaseous induction with halothane and nitrous oxide. Multiple heart rate variability (HRV) spectra were obtained by power spectral analysis of continuous epochs of time from before introduction of halothane (baseline) until the pupils were central and fixed (stage 3). Measurement of RSA was performed by integration of the area under the spectral curve within the range of the respiratory frequency 0.15 Hz. In all patients RSA decreased continuously during induction unless stimulation occurred with insertion of an airway. Values of RSA were compared at three times: baseline, loss of pharyngeal tone and stage 3. The decrease in RSA from baseline to loss of pharyngeal tone and from loss of pharyngeal tone to stage 3 was significant (P:0.003 and P:0.018, respectively). These results show that RSA can be related to the clinical signs of anaesthesia and has potential as a measure of depth of anaesthesia in children. (Br. J. Anaesth. 1998; 81: 333–337). Keywords: heart, heart rate; measurement techniques, spectral analysis; anaesthesia, paediatrics; anaesthesia, depth In health, heart rate varies constantly. These beat-tobeat changes in instantaneous heart rate are termed heart rate variability (HRV). Power spectral analysis has facilitated the study of the autonomic control systems that modulate HRV. Two spectral components of HRV have been observed: a low frequency component mediated by both the parasympathetic and sympathetic systems and a high frequency component centred at the frequency of ventilation that is thought to be exclusively under parasympathetic control.1–4 High frequency oscillation of heart rate with respiration is termed respiratory sinus arrhythmia (RSA) and is thought to be a selective index of vagal control of the heart5 and a window on the autonomic activity processed in the nucleus solitarius of the brainstem.6 Since the suggestion that RSA may offer a method of measuring depth of anaesthesia,7 several groups have studied the effects of general anaesthetic agents on RSA.8–14 All of these studies measured RSA before and after induction of anaesthesia; the changes in RSA during the progressive stages of induction of anaesthesia have not been investigated. The objectives of this study were to examine the changes in RSA during gaseous induction and to relate these changes to clinical signs during the progression through the stages of anaesthesia in children aged 3–10 yr. The higher spontaneous rate of respiration in this age group produces a distinct high frequency component that is needed for measurement of RSA. Patients and methods We studied 13 ASA I patients, aged 3–10 yr, undergoing elective ENT surgery. After approval of the local Ethics Committee, informed written consent was obtained from the parents. No patient had a history of autonomic dysfunction or was receiving any concurrent medication. Children were premedicated with oral midazolam 0.5 mg kg91. On arrival in the anaesthetic room, monitoring leads were attached and the patient preoxygenated for as long as possible to provide a baseline measurement. Nitrous oxide was administered followed by as small increments of halothane as the clinical situation would permit until the pupils became small and central, and the eyes immobile (stage 3). The airway was secured as appropriate for the procedure and anaesthesia was maintained with oxygen, nitrous oxide and halothane. Data were collected continually. Ventilatory flow was recorded using a Magtrak turbine (Ferraris Medical Ltd) inserted at the proximal end of the breathing system (T-piece). The Magtrak produced a flow-related pulse train during inspiration. Electrocardiogram (ECG) data were collected using standard ECG leads and recorded using a software controlled amplifier (CED 1902);12-bit digitized ECG and respiratory pulse trains were digitized at 1 kHz using a laboratory interface and commercial software (CED 1401 with Spike 2 software). From the parent and child’s perspective, only routine monitors came into contact with the child; they were prepared for the presence of the computer in the anaesthetic room. End-tidal values of nitrous oxide, halothane and carbon dioxide were recorded together with MAC values, as calculated by a Datex Capnomac. The times of all events during induction were recorded using an event marker and the nature of the event was documented. C. M. BLUES, BSC, MB, CHB, FRCA, C. J. D. POMFRETT, BSC, PHD, Department of Anaesthesia, University of Manchester, Manchester Royal Infirmary, Manchester M13 9WL. Accepted for publication: April 28, 1998. 334 British Journal of Anaesthesia Table 1 Values of heart rate (HR) and respiratory frequency (f) recorded at the three defined points during induction. Group values are shown as median (range). Statistical differences using the two-tailed Wilcoxon matched pairs signed ranks test: **P:0.01 compared with baseline; ††P:0.01 compared with loss of pharyngeal tone Baseline Loss of pharyngeal tone Stage 3 Patient No. HR (beat min91) f (bpm) HR (beat min91) f (bpm) HR (beat min91) f (bpm) 1 2 3 4 5 6 7 8 9 10 11 12 Median 151 97 95 94 91 96 91 108 142 92 85 106 95 (66) 24 20 21 21 21 21 25 21 21 21 22 21 21 (5) 130 116 159 See text 106 101 110 111 139 99 92 116 111 (66) 31 36 33 See text 21 36 45 31 36 32 36 31 33 (24)** 130 113 160 97 107 99 100 92 138 115 74 130 110 (86) 32 45 45 36 30 42 45 31 42 39 40 51 41 (21)** †† DATA ANALYSIS Each R wave of the ECG was extracted from the data as an event using an algorithm for peak detection. Correct identification of every R wave was verified manually before analysis. A waveform was created by smoothing this event data over 1-s intervals using a raised cosine function and a sampling frequency of 4 Hz.15 The result was a smoothed heart rate frequency curve (tachygram) representing equi-distant data suitable for spectral analysis. The same procedure was performed on inspiratory event times calculated from the Magtrak pulse trains, with a sampling frequency of 1 Hz. This gave an inspiratory tachygram with which to determine instantaneous inspiratory frequency. To remove slow trends in the data, a high-pass filter was applied to the re-sampled HRV tachygram series removing frequencies less than 0.056 Hz. A low-pass filter at 1 Hz was also applied to exclude components greater than the Nyquist frequency.9 Spectral analysis was then performed on 128-s segments of the filtered heart rate signal.9 16 Starting at time 0, the analysis was repeated at 60-s intervals, thereby overlapping the epochs by 68 s. A 256-point fast Fourier transformation was applied to the data. The power spectra describe HRV power as a function of frequency. HRV power within a frequency range was obtained by integration of the area under the power spectral curve. The spectrum was not normalized.17 18–22 Since the rate of spontaneous respiration varied, it was not appropriate to choose one band width for measurement of RSA. The high frequency component is centred around the frequency of respiration (f). The magnitude of RSA was thus measured as the power of the high frequency component of the variability spectrum that lay within the band width (f)<0.15 Hz.19 STATISTICAL ANALYSIS No presumption of normality was made. RSA measured at three clinical stages was assessed using the two-tailed Wilcoxon matched pairs signed rank test. P:0.05 was considered statistically significant. The stages were: (I) before introduction of halothane (baseline); (2) loss of pharyngeal tone; and (3) return of the pupils to a central fixed position (stage 3). Loss of pharyngeal tone was taken as a stage as it was clearly identifiable without the need for stimulation of a reflex. Results One child was excluded because of a technical fault in data collection. We studied 12 children, aged 3–10 yr. A discernible high frequency peak corresponding to RSA was observed in all HRV spectra. The frequency of this peak increased as respiratory frequency increased during administration of halothane (table 1). There were no significant changes in heart rate. The size of the RSA peak decreased markedly in all 12 children as they progressed through the stages of anaesthesia. The characteristic pattern of this decline is shown in figure 1, in which consecutive HRV spectra obtained from the overlapping epochs of time are shown for a single child (patient No. 3, table 2). Five epochs (1–3, 5, 6) have been taken from this plot and displayed sequentially in figure 2. Each HRV spectrum shows the RSA present at a specific clinical stage of anaesthesia. The HRV spectrum shown for the epoch at which stage 3 of anaesthesia is reached (fig. 2E) has been plotted on a magnified scale (x10). A second complete plot, from patient No. 8, is shown in figure 3. In this plot a high level of low frequency activity can be seen. RSA increases initially as halothane is commenced and then decreases in the characteristic manner. The increase in RSA seen in epoch 6 corresponds to insertion of a Guedel airway. This pattern of decline in RSA occurred in all 12 children. Despite this, grouping such continuous data for the purpose of statistical analysis is difficult as the speed of induction could not be standardized in the clinical situation. We took three clinical stages that were clearly identifiable in each of the children and compared the magnitude of the RSA (table 2). There was wide variation in absolute baseline values. One patient was excluded from analysis of loss of pharyngeal tone as early insertion of an airway precluded its identification. In four patients, insertion of an airway unavoidably caused stimulation during the measurement period of stage 3 RSA (patient Nos 1, Respiratory sinus arrhythmia and clinical signs of anaesthesia Figure 1 Three-dimensional plot of multiple heart rate variability (HRV) spectra obtained from consecutive overlapping epochs of time during induction of anaesthesia in patient No. 3. 2, 7 and 8) and therefore these patients are not included in the statistical analysis. RSA decreased significantly between baseline measurement and loss of pharyngeal tone (P:0.003) and between loss of pharyngeal tone and stage 3 anaesthesia (P:0.018). When the values were considered as percentage change from baseline, the median value at loss of pharyngeal tone was 11.4% and at stage 3, 3.39%. Discussion We have demonstrated, for the first time, a continuous decrease in RSA during induction of anaesthesia, in the absence of stimulation, which can be related to the clinical signs of anaesthesia first described by Guedel in l937. The study of RSA in children confers an important methodological advantage. All quantitative measures 335 of HRV are based on the premise of separable frequency ranges with no overlap. The high rate of respiration in children generates a high frequency component that can be separated clearly from the low frequency component.3 In adults, this clarity can only be achieved by breathing in time to a metronome. By taking a band width for integration centred about the frequency of respiration of the monitored individual, we were able to minimize the loss of data falling outside the band width. In 1935 it was first suggested that RSA may provide a quantitative measure for monitoring the level of anaesthesia when it was shown that RSA decreased in dogs after induction with ether20 and halothane.21 With the advent of microcomputers, interest in changes in RSA during anaesthesia was, renewed. In 1985, Donchin, Feld and Porges, using measurement of R-R intervals, showed a decrease in RSA in 10 female patients after induction of anaesthesia with isoflurane.7 Since then, several other studies have reported decreases in RSA after administration of anaesthetic agents.8–14 Seven of these eight studies used i.v. induction of anaesthesia.7 9–14 One study used gaseous induction with isoflurane but no measurements were made during induction.8 Use of an i.v. induction agent precludes the study of RSA during induction of anaesthesia and introduces the problem of the effect of the induction agent itself on the autonomic nervous system.22 Volatile agents also affect the autonomic nervous system, but the known cardiac properties of halothane would suggest a shift in the sympatho-vagal balance towards vagal predominance. Such an action would lead to an increase in the proportion of power within the high frequency band, the opposite effect to the decrease in RSA shown in this study. Seven of the studies compared pre-induction RSA in spontaneously breathing patients with RSA measured during controlled ventilation.7 8 10–14 RSA is known to increase with controlled breathing despite no changes in variables of respiration or depth of anaesthesia.4 All of these studies compared RSA measured before and at sometime after induction. Changes in RSA during induction of anaesthesia in spontaneously breathing patients have not been investigated previously. The only studies of RSA in children have been in Table 2 Values for respiratory sinus arrhythmia (% of baseline) measured at the three defined points during induction. Group values of absolute RSA and % of baseline are shown as median (range) and exclude epochs where stimulation occurred during the measurement period (labelled a). **P:0.01 compared with baseline (n:11); †P:0.05 compared with baseline (n:8); ‡P:0.05 compared with loss of pharyngeal tone (n:7) Patient No. (age in years) Baseline RSA (% of baseline) Loss of pharyngeal tone RSA (% of baseline) Stage 3 RSA (% of baseline) 1 (5) 2 (5) 3 (5) 4 (6) 5 (7) 6 (6) 7 (5) 8 (4) 9 (3) 10 (10) 11 (8) 12 (5) Median RSA Median % baseline 6.31E-06 (100) 2.13E-04 (100) 2.95E-05 (100) 9.13E-05 (100) 1.57E-04 (100) 3.79E-05 (100) 4.47E-04 (100) 2.85E-05 (100) 1.73E-06 (100) 8.93E-05 (100) 3.13E-05 (100) 5.7E-05 (100) 4.74E-05 (4.45E-04) 100 (0) 1.01E-06 (16) 5.78E-07 (0.3) 3.40E-07 (1.1) See text 1.45E-05 (9.2) 4.34E-06 (11.4) 3.84E-07 (0.08) 3.42E-06 (12) 7.76E-07 (44) 9.26E-06 (10) 5.07E-06 (16) 7.35E-06 (12.9) 3.42E-06 (1.41E-05)** 11.4 (44.7) 1.13E-06 (17)a 8.25E-07 (0.4)a 3.96E-08 (0.13) 3.48E-06 (3.8) 4.65E-06 (2.97) 1.50E-06 (3.94) 1.88E-06 (0.42)a 5.43E-06 (19)a 1.39E-07 (8) 2.78E-07 (0.3) 4.42E-06 (14) 1.9E-08 (0.03) 8.9E-07 (4.63E-06)†‡ 3.39 (14) 336 British Journal of Anaesthesia Figure 3 Three-dimensional plot of multiple heart rate variability (HRV) spectra obtained from consecutive overlapping epochs of time during induction of anaesthesia in patient No. 8. Figure 2 Heart rate variability (HRV) spectra during successive clinical stages of anaesthesia. A: Epoch 1, before introduction of halothane, respiratory frequency (f):0.47 Hz. B: Epoch 2, after introduction of halothane during the excitement phase, f:0.47 Hz. C: Epoch 3, loss of eyelash reflex, f:0.51 Hz. D: Epoch 5, loss of pharyngeal reflex, f:0.56 Hz. E: Epoch 6, magnified view of RSA at stage 3, f:0.56 Hz. neonates, investigating RSA as a tool for the differentiation of groups of neonates at risk from sudden infant death syndrome and in the assessment of neurological impairment after asphyxia.24–27 RSA changes during anaesthesia in children have not been studied previously. Few studies have attempted to investigate any method of assessing anaesthetic adequacy in this age group. O’Kelly, Smith and Pilkinton examined the auditory evoked response but found the method unreliable because of the size of the patient and the consequent interaction between the signal frequency of the EEG and ECG.23 Studies in neonates demonstrate that this population can be divided into two distinct groups representing significantly different patterns for HRV.19 28 One group has the majority of power concentrated in the high frequency range while in the second group, low frequency activity is dominant. Our study showed that the contribution of RSA to total power was also a variable feature in older children; some children had considerably more low frequency activity than others. This variation between children in the balance between sympathetic and parasympathetic control of the nervous system makes comparison of absolute values of RSA between individuals of little use in the study of the effects of anaesthesia. However, changes in RSA can be used to examine variations in vagal tone of an individual in different clinical situations. We followed each child through induction and compared the changes in RSA with baseline measurements. This was expressed as percentage change from baseline values. When using RSA as an index of central vagal tone, it must always be remembered that this is a cardiac measure derived from the ECG. It reflects only the final vagal influences on heart rate. RSA represents not only the central levels of vagal activity that we wish to measure, but the working of the efferent pathways conducting the neural impulses, the traffic at the cholinergic receptor sites in the sinus node and the end organ itself, the heart.29–31 When studying the effect of anaesthesia on brainstem autonomic activity, the effect of anaesthetic agents on the rest of the system cannot be ignored. We minimized this possible error by using only three agents (midazolam, halothane and nitrous oxide). RSA offers considerable promise as a non-invasive and sensitive index of depth of anaesthesia in children. In five children a Guedel airway was inserted. In each case the stimulus was accompanied by an increase in power in the high frequency range and in the ratio of this component to the total power of the spectrum. In two patients, when an i.v. cannula was Respiratory sinus arrhythmia and clinical signs of anaesthesia inserted after stage 3 had been reached, an increase in RSA was seen. Future studies should investigate the relationship between changes in RSA and cognitive function using tests of cognition and memory. Such studies may need to be performed in an older age group. We have shown that RSA is a measure of the stage of anaesthetic depth in children but not as yet a measure of the level of conscious awareness. References 1. Askelrod S, Gordon D, Ubel FA, Shannon DC, Barger AC, Cohen RJ. Power spectrum analysis of heart rate fluctuations: a quantitative probe to beat to beat cardiovascular control. Science 1981; 213: 220–222. 2. Askelrod S, Gordon D, Madwed JB, Snidman NC, Shannon DC, Cohen RJ. Haemodynamic regulation: investigation by spectral analysis. American Journal of Physiology 1985; 249: M867–875. 3. Pomeranz B, Macaulay RJB, Caudill MA, Kutz I, Adam D, Gordon D, Kilborn KM, Barger AC, Shannon DC, Cohen RJ, Benson H. Assessment of autonomic function in humans by heart rate spectral analysis. American Journal of Physiology 1985; 248: H151–153. 4. Pagani P, Lombardi F, Guzzetti S, Rimoldi O, Furlan R, Pizzinelli P, Sandrone G, Malfatto G, Dell’Orto S, Piccaluga E, Turiel M, Baselli G, Cerutti S, Malliani A. Power spectral analysis of heart rate and arterial pressure variability as a marker of sympatho-vagal interaction in man and conscious dog. Circulation Research 1986; 59: 178–193. 5. Bernston GG, Cacioppo JT, Quigley KS. Respiratory sinus arrhythmia: Autonomic origins, physiological mechanisms, and psychophysiological implications. Psychophysiology 1993; 30: 183–196. 6. Porges SW. Respiratory sinus arrhythmia: physiological basis, quantitative methods and clinical implications. In: Grossman P, Janssen K, Vaitl D, eds. Cardiorespiratory and Cardiosomatic Psychophysiology. New York: Plenum, 1986; 101–116. 7. Donchin Y, Feld JM, Porges SW. Respiratory sinus arrhythmia during recovery from isoflurane-nitrous oxide anesthesia. Anesthesia and Analgesia 1985; 64: 811–815. 8. Kato M, Komatsu T, Kimura T, Sugiyama F, Nakashima K, Shimada Y. Spectral analysis of heart rate variability during isoflurane anesthesia. Anesthesiology 1992; 77: 669–674. 9. Galletly DC, Corfiatis T, Westenberg AM, Robinson BJ. Heart rate periodicities during induction of propofol-nitrous oxide–isoflurane anaesthesia. British Journal of Anaesthesia 1992; 68: 360–364. 10. Komatsu T, Kimura T, Shimada Y. Continuous, on-line, real-time spectral analysis of heart rate variations during anaesthesia: Computing and Monitoring in Anesthesia and Intensive Care. Berlin: Springer-Verlag, 1992; 335–338. 11. Pomfrett CJD, Barrie JR, Healy TEJ. Respiratory sinus arrhythmia: an index of light anaesthesia. British Journal of Anaesthesia 1993; 71: 212–217. 12. Galletly DC, Westenberg AM, Robinson BJ, Corfiatis T. Effect of halothane, isoflurane and fentanyl on spectral components of heart rate variability. British Journal of Anaesthesia 1994; 72: 177–180. 13. Pomfrett CJD, Sneyd JR, Barrie JR, Healy TEJ. Respiratory sinus arrhythmia: Comparison with EEG indices during isoflurane anaesthesia at 0.65 and 1.2 MAC. British Journal of Anaesthesia 1994; 72: 397–402. 337 14. Huang H-H, Chan H-L, Lin P-L, Wu C-P, Huang C-H. Time frequency spectral analysis of heart rate variability during induction of anaesthesia. British Journal of Anaesthesia 1997; 79: 754–758. 15. Berger RD, Askelrod S, Gordon D, Cohen RJ. An efficient algorithm for spectral analysis of heart rate variability. IEEE Transactions on Biomedical Engineering 1986; 33: 900–904. 16. Latson TW, O’Flaherty D. Effects of surgical stimulation on autonomic nervous function: assessment by changes in heart rate variability. British Journal of Anaesthesia 1993; 70: 301. 17. Jaffe RS, Fung DL. Constructing a heart rate variability analysis system. Journal of Clinical Monitoring 1994; 10: 45–58. 18. Bianchi A, Bontempi B, Cerutti S, Gianoglia P, Comi G, Natali Sora MG. Spectral analysis of heart rate variability signal and respiration in diabetic subjects. Medical and Biological Engineering and Computing 1990; 28: 205–211. 19. Baldzer K, Dykes FD, Jones A, Brogan M, Carrigan TA, Giddens DP. Heart rate variability analysis in full term infants: Spectral indices for study of neonatal cardiorespiratory control. Pediatric Research 1989; 26: 188–195. 20. Samaan A. The effect of adrenaline, atropine and ether anaesthesia on the heart rate of normal dogs and the animal deprived of different parts of the autonomic nervous system. Archives Internationales de Pharmacodynamie et de Therapie 1935; 50: 101. 21. McGrady JD, Vallbona C, Hoffe HE. The effect of preanesthetic and anesthetic agents on the respiration-heart rate response of dogs. American Journal of Veterinary Research 1965; 153: 256–256. 22. Scheffer GJ, Ten Voorde BJ, Karemaker JM, Ross HH, Delange JJ. Effects of thiopentone, etomidate and propofol on beat to beat cardiovascular signals in man. Anaesthesia 1993; 48: 849. 23. O’Kelly SW, Smith DC, Pilkinton SN. The auditory evoked potential and paediatric anaesthesia. British Journal of Anaesthesia 1995; 75: 428–130. 24. Kitney RI, Ong HG. An analysis of cardiorespiratory control in babies and its relation to sudden infant death syndrome. Automedica 1986; 5: 289–310. 25. Kluge KA, Harper RM, Schechtman VL, Wilson AJ, Hoffman HJ, Southall DP. Spectral analysis assessment of respiratory sinus arrhythmia in normal infants and infants who died of sudden infant death syndrome. Paediatric, Research 1988; 24: 677–682. 26. Rothe M, Zweiner U, Eiselt M, Witte H, Zwacka G, Frenzel J. Differentiation of healthy newborns and newborns-at-risk by spectral analysis of heart rate fluctuations and respiratory movements. Early Human Development 1987; 15: 349–363. 27. Witte H, Rother M. High frequency and low frequency heart rate fluctuation analysis in new-borns—A review of possibilities and limitations. Basic Research in Cardiology 1992; 87: 193–204. 28. Thompson CR, Brown JS, Gee H, Taylor EW. Heart rate variability in healthy new-borns: the contribution of respiratory sinus arrhythmia. Early Human Development 1993; 31: 217–228. 29. Katona PG, Lipson D, Dauchot PJ. Opposing peripheral and central effects of atropine on parasympathetic cardiac control. American Journal of Physiology 1977; 232: H146–151. 30. Hall GT, Potter EK. Attenuation of vagal action following sympathetic stimulation is modulated by pre-junctional (-2-adrenoreceptors in the dog). Journal of the Autonomic Nervous System 1990; 30: 129–138. 31. Warner MR, Levy MN. Neuropeptide Y as a putative modulator of the vagal effects upon heart rate. Circulation Research 1989; 24: 567–574.
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