Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
AJH 1997;10:790 –797 Mid- and Long-term Reproducibility of Noninvasive Measurements of Spontaneous Arterial Baroreflex Sensitivity in Healthy Volunteers Daniel Herpin and Stéphanie Ragot Baroreflex sensitivity (BRS) is altered in a variety of circumstances and could be considered as a marker for the prognosis of some cardiovascular diseases. The present study was designed to evaluate the reproducibility of noninvasive measures of BRS, both at mid- and at long-term. Fourteen healthy volunteers were examined on three occasions (first interval 5 1 week, second interval 5 1 year). Each recording was performed using a noninvasive photoplethysmographic device (Finapres 2300, Ohmeda), both in supine and standing positions. Two different methods of measurement were used: the sequences method and cross spectral analysis. The reproducibility of BRS measures was as satisfactory at mid- as at long-term for the sequences method (intraclass coefficient [ICC] 5 0.87 and 0.86, respectively), but it was better at mid- than at long-term for the cross-spectral analysis (ICC 5 0.85 and 0.54, respectively). The measures performed in standing position were obviously more reproducible than those made in recumbent position (ICC 5 0.87 and 0.70 for the sequences method, 0.85 and 0.71 for the crossspectral analysis, respectively). Due to the high reproducibility of these noninvasive measures, the Received September 5, 1996. Accepted January 27, 1997. From the Service Cardiologie, Centre Hospitalo-Universitaire, Poitiers, France. © 1997 by the American Journal of Hypertension, Ltd. Published by Elsevier Science, Inc. number of patients to be included in a pharmacological study was calculated as rather small: for example, only 20 patients are required for detecting a change in upright BRS of 3 msec/ mm Hg, at long-term (sequences method). Likewise, the magnitude of the regression to the mean, which has to be expected in patients selected for a follow-up study, turned out to be low: for example, <15% of the difference between the patient group mean value and the reference value, both at mid- and at long-term (standing position, sequences method). We conclude that: 1) The noninvasive measures of BRS in standing position are reproducible enough to allow longitudinal studies to be conducted over either a short or a long period; 2) The long-term reliability of the sequences method seems to be higher than that of the cross-spectral analysis; and 3) Subtle changes in SBR may be noninvasively detected within small patient groups. Am J Hypertens 1997;10:790 –797 © 1997 American Journal of Hypertension, Ltd. KEY WORDS: Baroreflex sensitivity, reproducibility, repeatability, photoplethysmography. Address correspondence and reprint requests to Daniel Herpin, Service Cardiologie, Centre Hospitalo-Universitaire, 86021 Poitiers, France. 0895-7061/97/$17.00 PII S0895-7061(97)00115-5 AJH–JULY 1997–VOL. 10, NO. 7, PART 1 B aroreflex sensitivity (BRS) has been reported to be modified in numerous circumstances: elderly,1– 4 systemic hypertension,5–7 heart failure,8 myocardial infarction, and ventricular arrhythmias.9,10 Plethysmographic finger blood pressure (BP) recording has been recently used for a noninvasive determination of spontaneous cardiac BRS. The reliability of this new method has been evaluated against invasive methods11; to date, however, limited information is available on its reproducibility.12–15 Of course, the prerequisite for the use of noninvasive BRS measurement in clinical pharmacological studies is the demonstration of its repeatability over time. Therefore, the present study was designed to examine both the mid- and long-term reproducibilities of BRS noninvasive measurements in healthy volunteers. An additional objective was to use these results 1) to construct a sample size table of the number of subjects to be included in pharmacological studies; and 2) to quantify the magnitude of the regression to the mean, which has to be expected in longitudinal studies. METHODS Subjects Data were obtained from 14 normotensive subjects: seven women and seven men, mean age 31 (610 years [range, 23 to 51 years]), who gave their informed consent for the study. Each subject supplied a medical history and underwent a physical examination in order to exclude those with diabetes, heart disease, or acrosyndrome, and those taking medications known to interfere with BP and heart rate (HR) control. Experimental Protocol Each subject underwent three noninvasive plethysmographic recordings (Finapres model 2300E, Ohmeda Monitoring Systems, Englewood, CT). Two recordings were performed 1 week apart, and the third was performed 1 year later. The cuff was fitted to the third finger of the right hand and located at heart level. All recordings were performed by the same operator and were started only when clinic systolic BP differed from plethysmographic measure, by ,10 mm Hg, after a 10-min rest in supine position. Each recording consisted of two 15-min periods, the first in supine and the second in standing position. Both periods took place after an adaptation period of about 3 min, in order to obtain a stable situation. Data recordings were performed between 9 am and 11 am, with each subject examined at the same time for all of his or her recordings, in order to exclude changes related to diurnal sympathovagal variations. BRS Estimation The analogue BP signal was sampled at 200 Hz and digitized at 12 bits by a personal computer (model 486DX2/33, Advantech PC-Labcard 718, IBM Corporation, Lexington, MA) using ISN software (Grenoble, France) to obtain values for SBP, DBP, and HR. The signal was displayed by an interactive software to detect and eliminate morphologic aberrations of BP tracing. BRS was estimated using two BAROREFLEX SENSITIVITY REPRODUCIBILITY 791 different methods: the sequences method and crossspectral analysis. The sequences method16 computed sequences of three or more beats in which SBP and pulse interval progressively increased (SBP1/RR1 sequences) or decreased (SBP-/RRsequences). The threshold change was set at 1 mm Hg for SBP and at 4 msec for pulse interval. For each sequence the correlation coefficient between the two values was verified not to be ,0.95. The slope was taken as a measure of the BRS, as done when changes in BP and HR are induced by intravenously administered boluses of vasoactive drugs. The cross-spectral analysis of SBP and HR has been validated by Robbe et al17 and De Boer et al.18 The spectral characteristics of the stationary segments of the whole recording were calculated by a direct fastFourier transform algorithm for discrete time series of 256 points (periodogram method). The modulus of the transfer function between SBP and RR intervals was examined in midfrequency band (66 to 127 MHz) and was considered as an index of BRS when the coefficient of coherence was .0.5. Statistical Analysis The data obtained at the first visit (D1) were plotted against those obtained at the second visit (W1), as well as against those recorded at the third visit (Y1); the correlation coefficients were calculated by using the Spearman test, and the intervisit differences were evaluated by both a paired Wilcoxon test and an analysis of variance. According to the recommendations of Bland and Altman,19 the intervisit differences (W1 2 D1 and Y1 2 D1) were plotted against the average values [(W1 1 D1)/2 and (D1 1 Y1)/2], in order to investigate any possible relationship between the measurement error and the estimated true value. The 95% confidence intervals of the differences were then calculated. In addition, the repeatability coefficients were estimated as recommended by the British Standards Institution (square root of the sum of the squares of the differences, divided by the number of subjects), allowing the 95% confidence intervals of the expected intervisit differences to be calculated.20 The intraclass correlation coefficient (r) was calculated as follows: r 5 ~BMS 2 WMS!/~BMS 1 WMS! (formula 1) where BMS and WMS denote between-subject mean squares and within-subject mean squares, respectively. Arbitrarily,21 a value of r in the range 0 to 20 indicates slight reliability; 0.21 to 0.40, fair reliability; 0.41 to 0.80, moderate reliability; and 0.81 to 1.00, strong reliability. The number (n) of patients to be included in a study aimed at detecting a given variation in BRS, (parallel design), was calculated by using the formula: n 5 M * ~ § 2 /~D 2 ! (formula 2! 792 AJH–JULY 1997–VOL. 10, NO. 7, PART 1 HERPIN AND RAGOT TABLE 1. BRS VALUES (msec/mm Hg) Supine Position SBP1/RR1 SBP2/RR2 MF Gain Standing Position SBP1/RR1 SBP2/RR2 MF Gain Day 1 Week 1 Year 1 21.31 6 15.54 17.71 6 6.44 12.8 6 5.0 16.36 6 10.43 16.21 6 9.72 11.1 6 4.7 18.61 6 13.80 16.84 6 9.22 10.1 6 3.7 8.58 6 3.73 8.43 6 3.45 9.7 6 2.8 8.03 6 3.78 7.94 6 3.72 9.5 6 2.5 8.16 6 3.92 7.87 6 3.75 9.2 6 1.5 All differences (Day 1 v Week 1, Day 1 v Year 1): not significant. SBP1/RR1, SBP2/RR2, sequences method (see text for explanation). MF Gain, cross-spectral analysis in mid-frequency band. where § denotes the standard deviation of the intervisit differences and D denotes the absolute change in BRS to be detected. M is given by the usual tables [unilateral test: M 5 2(z12a 1 z12b)2, bilateral test: M 5 2(z12a/2 1 z12b)2]. Finally, the expected regression to the mean (R) was quantified according to the formula: R 5 ~1 2 r! * ~S 2 N! (formula 3) where S denotes the BRS values of the patient group selected for a given study and N, those of a reference group; r is the ratio between subject variance/total variance, as provided by an analysis of variance with repeated measures (random-effects model, nested design).22,23 All analyses were performed using BMDP software (BMDP Statistical Software Inc., Los Angeles, CA) (programs 1D, 3D, 2R, 4F, 2V, and 8V). The null hypothesis was rejected when P . .05. RESULTS Table 1 shows that BRS values did not significantly differ from one examination to the other, especially in standing position, whatever the method of measurement and the interval between the two measures. The correlation coefficients between each pair of data, which measure the strength of the relation, were higher in standing position (mid-term: 0.81 to 0.84, P , .001; long-term: 0.64 to 0.81, P , .01) than those observed in supine position (mid-term: 0.62 to 0.73, P , .02; long-term: 0.46 to 0.49, P 5 NS). No significant differences were found between men and women with respect to either the BRS values or the reproducibility of the measures. According to the method of Bland and Altman,19 Figures 1 to 3 plot the differences between the pairs of data against their means. It can be seen that: 1) The mean difference was close to zero (at least not significantly different from 0; thus, we were able to use the data to assess repeatability); 2) There was no obvious relation between the differences, which reflect the measurement error, and the mean, which is likely to be close to the true value; thus our data had not to be log-transformed; and 3) the degree of agreement (inversely related to the width of the 95% confidence interval of the differences) was greater in standing position than in recumbent position. Values of the coefficients of repeatability, as well as those of the 95% confidence intervals of the expected intervisit differences, are shown on Table 2. The intraclass correlation coefficients are displayed on Figure 4. Once again, measurements performed in standing position turned out to have the highest repeatability. TABLE 2. REPEATIBILITY COEFFICIENTS (RC) OF BRS MEASUREMENTS AND 95% CONFIDENCE INTERVAL (CI) OF THE EXPECTED ERROR (msec/mm Hg) Mid-term (1 week) Supine position SBP1/RR1 SBP2/RR2 MF gain Standing position SBP1/RR1 SBP2/RR2 MF gain Long-term (1 year) Supine position SBP1/RR1 SBP2/RR2 MF gain Standing position SBP1/RR1 SBP2/RR2 MF gain Abbreviations as in Table 1. RC 95% CI of Expected Error 10.42 7.37 3.75 620.42 614.44 68.17 1.94 1.69 1.55 64.19 63.65 63.38 12.01 6.61 4.66 625.94 614.28 610.25 2.03 1.84 2.23 63.98 63.61 64.37 AJH–JULY 1997–VOL. 10, NO. 7, PART 1 BAROREFLEX SENSITIVITY REPRODUCIBILITY 793 FIGURE 1. Relationship between average BRS values and intervisit differences in BRS measures, according to the SBP1/RR1 sequences (sequences of three or more successive beats in which SBP and pulse interval increased). From the preceding data, we constructed Table 3, which gives the number of subjects to be included in pharmacological studies, and Table 4, which displays the value of the 1st term of formula 3, allowing for an easy calculation of the magnitude of the regression to the mean, which has to be TABLE 3. NUMBER OF SUBJECTS TO BE INCLUDED IN A FOLLOW-UP STUDY (STANDING POSITION; PARALLEL DESIGN; a 5 0.05, b 5 0.10, BILATERAL TEST) Mid-Term (1 week) Long-Term (1 year) D Sequences Method Cross-Spectral Analysis Sequences Method Cross-Spectral Analysis 1 2 3 4 5 150 38 16 10 6 100 26 12 6 4 178 44 20 12 8 210 52 24 14 8 D, change in BRS to be detected (msec/mm Hg). anticipated in follow-up studies. Investigators will only have to multiply this value by the difference (S 2 N). DISCUSSION The salient findings of our study are the following: 1) The measures performed in recumbent position were by far, less reproducible than those made in standing position; 2) The reproducibility of noninvasive measures of BRS was roughly the same at mid- as at long-term for the sequences method, whereas it was higher at mid- than at long-term for the cross-spectral analysis; and 3) Due to the high reproducibility of noninvasive BRS measures in standing position, very few subjects are needed for detecting a slight change in this parameter. Likewise, the magnitude of the expected regression to the mean is likely to be low. BRS Measures Several invasive methods have been proposed for activating or deactivating baroreceptor reflexes: intravenous injection of vasopressor (such as 794 AJH–JULY 1997–VOL. 10, NO. 7, PART 1 HERPIN AND RAGOT FIGURE 2. Relationship between average BRS values and intervisit differences in BRS measures, according to the SBP-/RRsequences (sequences of three or more successive beats in which SBP and pulse interval decreased). angiotensin or phenylephrine) or vasodepressor (such as nitroglycerin) drugs, which allows the vagal control and, to a lesser extent, the sympathetic control of HR to be studied; neck chamber technique, which allows for a simultaneous investigation of BP and HR control; and low body negative pressure technique, which is the reference method for investigating the role of the cardiopulmonary receptors. More recently, computerassisted processing of BP signals has allowed accurate measures of BRS to be noninvasively obtained from spontaneous variations of BP and HR. Of course, non- invasive BRS measures have some drawbacks, as compared with the classic phenylephrine method: the measuring period has to be longer for the noninvasive than for the invasive method (5 to 20 min, according to the different investigators, versus ,1 min following intravenous injection). In addition, more computing power is required and stationary time series are needed. However, the advantages of noninvasive measures over phenylephrine method have to be emphasized: 1) No rise in BP is induced; 2) The shortterm BP regulation and the BRS are not affected by the TABLE 4. ESTIMATION OF THE REGRESSION TO THE MEAN: VALUES OF (1-R) (SEE TEXT FOR EXPLANATION) Mid-Term (1 week) Supine Standing Long-Term (1 year) SBP1/RR1 SBP2/RR2 MF Gain SBP1/RR1 SBP2/RR2 MF Gain 0.30 0.13 0.40 0.11 0.29 0.15 0.32 0.14 0.34 0.13 0.55 0.46 Abbreviations as in Table 1. AJH–JULY 1997–VOL. 10, NO. 7, PART 1 BAROREFLEX SENSITIVITY REPRODUCIBILITY 795 FIGURE 3. Relationship between average BRS values and intervisit differences in BRS measures, according to the cross spectral analysis in the mid-frequency band (66 to 127 MHz). measuring method itself; 3) Measures can be applied repeatedly; and 4) Computation of modulus or sequences results in stable and high correlated values.16 –18 Recently, good short-term reproducibility has been demonstrated for the sequences method, 24 h apart,14 even during the Valsalva maneuver15; likewise, crossspectral analysis has been shown to provide reproducible results at a 1-week interval.12 Our study is the only known study comparing the reproducibilities of both methods. The higher reproducibility of standing recordings, as compared with that of supine measures, has already been reported by Iellamo et al,14 who found a lower variation coefficient for the former than for the latter (13.9% v 15.0%), despite a lower average value (9 v 22 ms/mm Hg). We may speculate that the greater reproducibility of standing measures is mainly linked to the orthostatism-induced stimulation of sympathetic activity, resulting in a substantial decrease in BRS and, above all, in a lesser influence of the internal (or even external) stimuli on the sympathovagal balance. Eventually, intervisit variations are of lesser magnitude in standing position than in supine position, because 1) the baseline BRS level is lower, and 2) the subject is more stationary. Clinical Implications Changes in BRS may occur with different pharmacological drugs: b-blockers,24,25 angiotensin converting enzyme inhibitors,26 centrally acting antihypertensive agents,27 a1-blockers,28 calcium antagonists,29 and digitalis.30,31 Our data clearly show that long-term reproducibility of noninvasive BRS measures is satisfactory enough, for allowing pharmacological studies to be conducted over a long period (up to 1 year), provided that: 1) the sequences method (rather than the cross-spectral analysis) is used, and 2) the recordings are performed in standing position. Of course, this assumption may be extrapolated to a shorter follow-up period of 1 to 3 months; however, a 6-month interval would probably not be adequate because of a possible seasonal rhythm in autonomic activity.32 When a pharmacological study 796 AJH–JULY 1997–VOL. 10, NO. 7, PART 1 HERPIN AND RAGOT FIGURE 4. Values of the intraclass correlation coefficient and of the corresponding reliability, according to the method of BRS measurement, the recording position, and the between-visit interval. is designed to evaluate the mid-term effect of a drug, both methods seem to have an equivalent reliability, once again with the clear evidence that the standing position provides the most reproducible results. Furthermore, our findings should help the design of a pharmacological study to be more precisely established: slight changes in BRS may be detected within a small patient group, even at long-term, as long as the recording is made in upright position (for example, 20 patients, for detecting a drug-induced change of 3 msec/mm Hg). Finally, the quantification of the regression to the mean should allow the results of an open, noncontrolled study to be properly analyzed. It is worth noting that the magnitude of the regression toward the mean is much greater in supine than in standing position, whereas it is of the same extent at mid- as at long-term, at least for the sequences method. Interestingly, the value of the expected regression to the mean is proved to be substantially lower (250%), than that calculated for the measure of left ventricular mass index.33 Study Limitations By design, the standing observation period followed the supine period, raising the question of a possible “order effect.” This issue has not been specifically addressed in the literature. However, the lack of training effect with noninvasive recordings has been clearly demonstrated.13 Furthermore, Robbe et al17 emphasized that an adaptation period of about 1 min should usually be enough to obtain a stationary situation. Hence, the influence of the timing of the recordings on their reproducibility should be of limited importance, as opposed to the preeminent role of orthostatism-induced changes in autonomic activity. Our study was conducted within a healthy population. However, the variability we found in our subject group should not be higher in diseased patients, as long as no pathological status has been found to be associated with a significant increase in baseline levels of BRS. Of course, further studies are required within selected populations, especially hypertensive patients and the elderly, to determine whether the noninvasive measurements of spontaneous BRS may prove to be valuable in clinical practice. REFERENCES 1. Giannattasio C, Ferrari AU, Mancia G: Alterations in neural cardiovascular control mechanisms with ageing. J Hypertens 1994;12(suppl 6):S13–S17. 2. Ingall TJ, McLeod JG, O’Brien PC: The effect of ageing on autonomic nervous system function. Aust N Z J Med 1990;20:570 –577. 3. Veerman DP, Imholz BP, Wieling W, et al: Effects of AJH–JULY 1997–VOL. 10, NO. 7, PART 1 BAROREFLEX SENSITIVITY REPRODUCIBILITY aging on blood pressure variability in resting conditions. Hypertension 1994;24:120 –130. 4. Siché JP, De Gaudemaris R, Chevallier M, et al: Evaluation de l’altération du système nerveux autonome cardiaque avec l’âge par mesure clinique automatisée (in French). Arch Mal Coeur 1993;86:1187–1191. 797 between short-term blood pressure fluctuations and heart rate variability in resting subjects: a spectral analysis approach. Med Biol Eng Comput 1985;23:352–358. 19. Bland JM, Altman DG: Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986;i:307–310. 5. Head GA: Baroreflexes and cardiovascular regulation in hypertension. J Cardiovasc Pharmacol 1995;26(suppl 2):S7–S16. 20. British Standards Institution: Precision of Test Methods I: Guide for the Determination and Reproducibility for a Standard Test Method (BS 5497, part 1). BSI, London, 1979. 6. Alicandri C, Boni E, Fariello R, et al: Baroreceptor sensitivity in hypertension and vagal activity. J Hypertens 1991;9(suppl 6):S90 –S91. 21. Landis JR, Koch GG: The measurement of observer agreement for categorical data. Biometrics 1977;33:159–174. 7. Siché JP, Herpin D, Asmar RG, et al: Non-invasive ambulatory blood pressure variability and cardiac baroreflex sensitivity. J Hypertens 1995;13:1654 –1659. 22. James KE: Regression toward the mean in uncontrolled clinical studies. Biometrics 1973;29:121–130. 23. Osterziel KJ, Hanlein D, Willenbrock R, et al: Baroreflex sensitivity and cardiovascular mortality in patients with mild to moderate heart failure. Br Heart J 1995;73: 517–522. Davis CE: The effect of regression to the mean in epidemiologic and clinical studies. Am J Epidemiol 1976; 104:493– 498. 24. De Ferrari GM, Landolina M, Mantica M, et al: Baroreflex sensitivity, but not heart rate variability, is reduced in patients with life-threatening ventricular arrhythmias long after myocardial infarction. Am Heart J 1995; 130:473– 480. Girard A, Meilhac B, Mounier-Vehier C, et al: Effects of beta-adrenergic blockade on short-term variability of blood pressure and heart rate in essential hypertension. Clin Exp Hypertens 1995;17:15–27. 25. Mortara A, Specchia G, La Rovere MT, et al: Patency of infarct-related artery. Effect of restoration of anterograde flow on vagal reflexes. Circulation 1996;93:1114–1122. Parati G, Mutti E, Frattola A, et al: Beta-adrenergic blocking treatment and 24-hour baroreflex sensitivity in essential hypertensive patients. Hypertension 1994; 23:992–996. 26. Dibner Dunlap ME, Smith ML, Kinugawa T, et al: Enalaprilat augments arterial and cardiopulmonary baroreflex control of sympathetic nerve activity in patients with heart failure. J Am Coll Cardiol 1996;27: 358 –364. 27. Harron DWG, Riddell JG, Shanks RG: The effects of azepexole and clonidine on baroreceptor mediated reflex bradycardia and physiological tremor in man. Br J Clin Pharmacol 1985;29:431– 436. 28. Sasso EH, O’Connor DT: Prazosin depression of baroreflex function in hypertensive man. Eur J Clin Pharmacol 1982;22:7–14. 29. McLeay RAB, Stallard TJ, Watson RDS, et al: The effect of Nifedipine on arterial pressure and reflex cardiac control. Circulation 1983;67:1084 –1090. 30. Ferrari A, Gregorini L, Ferrari MC, et al: Digitalis and baroreceptor reflexes in man. Circulation 1981;63:279–285. 31. Krum H, Bigger JT, Goldsmith RL, et al: Effect of longterm digoxin therapy on autonomic function in patients with chronic heart failure. J Am Coll Cardiol 1995;25: 289 –294. 32. Fagius J, Kay R: Low ambient temperature increases baroreflex-governed sympathetic outflow to muscle vessels in humans. Acta Physiol Scand 1991;142:201–209. 33. Herpin D, Demange J: Effect of regression to the mean in serial echocardiographic measurements of left ventricular mass. Quantification and clinical implications. Am J Hypertens 1994;7:824 – 828. 8. 9. 10. 11. Parati G, Casadei R, Groppelli A, et al: Comparison of finger and intra-arterial blood pressure monitoring at rest and during laboratory testing. Hypertension 1989; 13:647– 655. 12. Ducher M, Fauvel JP, Gustin MP, et al: A new noninvasive statistical method to assess the spontaneous cardiac baroreflex in humans. Clin Sci 1995;88:651– 655. 13. Dimier-David L, Billon N, Costagliola D, et al: Reproducibility of non-invasive measurement and of short-term variability of blood pressure and heart rate in healthy volunteers. Br J Clin Pharmacol 1994;38:109–115. 14. Iellamo F, Legramante JM, Raimondi G, et al: Evaluation of reproducibility of spontaneous baroreflex sensitivity at rest and during laboratory tests. J Hypertens 1996;4:1099 –1104. 15. Kautzner J, Hartikainen JEK, Camm J, et al: Arterial baroreflex sensitivity assessed from phase IV of the Valsalva maneuver. Am J Cardiol 1996;78:575–579. 16. Parati G, Di Rienzo M, Bertinieri G, et al: Evaluation of the baroreceptor-heart rate reflex by 24-hour intra-arterial blood pressure monitoring in humans. Hypertension 1988;12:214 –222. 17. Robbe HWJ, Mulder LJM, Ruddel H, et al: Assessment of baroreceptor reflex sensitivity by means of spectral analysis. Hypertension 1987;10:538 –543. 18. De Boer RW, Karemaker JM, Strackee J: Relationships