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Hypertension. 2005;45:222-226
Published online before print January 10, 2005, doi: 10.1161/01.HYP.0000154229.97341.d2
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(Hypertension. 2005;45:222.)
© 2005 American Heart Association, Inc.


Scientific Contributions

Evaluation of Carotid-Femoral Pulse Wave Velocity

Influence of Timing Algorithm and Heart Rate

Sandrine C. Millasseau; Andrew D. Stewart; Sundip J. Patel; Simon R. Redwood; Philip J. Chowienczyk

From the Cardiovascular Division, GKT School of Medicine, King’s College London, United Kingdom.

Correspondence to Dr P.J. Chowienczyk, Department of Clinical Pharmacology, St. Thomas’ Hospital, Lambeth Palace Rd, London SE1 7EH, UK. E-mail phil.chowienczyk{at}kcl.ac.uk


*    Abstract
up arrowTop
*Abstract
down arrowIntroduction
down arrowMethods
down arrowResults
down arrowDiscussion
down arrowReferences
 
Carotid-femoral pulse wave velocity (PWV), a measure of arterial stiffness, is determined from the time taken for the arterial pulse to propagate from the carotid to the femoral artery. Propagation time is measured variously from the foot of the waveform or point of maximum upslope. We investigated whether these methods give comparable values of PWV at rest, during ß-adrenergic stimulation, and pacing-induced tachycardia. In subjects at rest (n=43), values obtained using the foot-to-foot method (SphygmoCor system) were 1.7±0.75 m/s (mean±SD) greater than those obtained using the maximum slope (Complior system) at a mean value of 12 m/s. Isoprotenerol (0.5 to 1.5 µg/min; n=10), and pacing (in subjects with permanent pacemakers; n=11) increased heart rate but had differential effects on systolic blood pressure and pulse pressure. The increase in heart rate produced by isoprotenerol (18±3 bpm) and pacing (40 bpm) was associated with an increase in PWV measured using both systems (increases of 0.7±0.2 m/s and 0.9±0.2 m/s for SphygmoCor and Complior, respectively, during isoprotenerol and increases of 2.1±0.5 m/s and 1.1±0.2 m/s for SphygmoCor and Complior, respectively, during pacing, each P<0.001). Reanalysis of waveforms recorded from the Complior system using the foot-to-foot method produced similar values of PWV to those obtained with the SphygmoCor, confirming that the difference between these systems was attributable to the timing algorithm rather than other aspects of signal acquisition. Carotid-femoral PWV is critically dependent on the method used to determine propagation time, but this does not account for variation of PWV with heart rate.


Key Words: risk factors • compliance • pulse • heart rate


*    Introduction
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up arrowAbstract
*Introduction
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down arrowDiscussion
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Stiffening of the aorta and large elastic arteries is a biophysical manifestation of vascular aging with important prognostic implications. It is elevated in conditions such as renal failure, diabetes, and hypertension, and in each of these conditions, it is predictive of subsequent cardiovascular events.1–6 Pulse wave velocity (PWV) is related to the intrinsic elasticity of the arterial wall and its anatomic dimensions by the Moens-Korteweg equation.7,8 It is recommended as one of the best methods for measuring stiffness9,10 and is the measure used in most large clinical studies.1–6 PWV is usually determined over the carotid-femoral region by measuring the propagation time of the pressure pulse from the carotid to femoral arteries. The 2 systems in common use, the SphygmoCor (AtCor) and Complior (Artech) differ with respect to their sensor technology and the algorithm used for calculating the pulse propagation time. The SphygmoCor device uses an arterial tonometer for recording pressure waveforms. Propagation time is measured from the foot of the carotid waveform to that of the femoral waveform using sequential recordings referenced to the ECG (Figure 1a). In the Complior system, carotid and femoral waveforms are recorded simultaneously using mechanotransducers, and timing is referenced to the point of maximum systolic upstroke (Figure 1b). The influence of the different methods for calculating pulse propagation time on values of PWV obtained using the 2 instruments is unknown, but it has been suggested that this might account for a variation of PWV with heart rate.11,12 In preliminary studies, we observed a marked difference between values of PWV obtained with the SphygmoCor and Complior devices. The purpose of the present study was to determine whether this is attributable to the method for measuring pulse propagation time and also to determine whether it might account for variation of PWV with heart rate. We compared measurements of PWV obtained with the 2 devices at rest and before and after an increase in heart rate induced by ß-adrenergic stimulation and by pacing.



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Figure 1. a, Measurement of carotid to femoral propagation time using the intersecting tangent foot-to-foot algorithm as used in the SphygmoCor system. The foot of the pressure waveform is identified by the intersection of the tangent to the maximum systolic upstroke with the horizontal line through the minima of the waveform. b, Measurement of propagation time from the point of maximum upstroke of the signal as used in the Complior system.


*    Methods
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*Methods
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Measurements of carotid-femoral propagation time (transit time [TT]) and PWV obtained using the Complior and SphygmoCor systems were compared in subjects at rest (study 1), during intravenous infusion of isoprotenerol (study 2), and pacing (study 3). The studies were approved by the local research ethics committee, and all subjects gave written informed consent.

Measurements obtained using the SphygmoCor system (TTSphyg and PWVSphyg) were determined with the SphygmoCor software using the intersecting tangent algorithm to identify the foot of the waveform (Figure 1a).13 Those obtained with the Complior system (TTComp and PWVComp) were determined using the Complior software (timing referenced to the point of maximum systolic upstroke; Figure 1b).13,14 In addition, in-house software (MatLab; Mathworks) was used to calculate the propagation time from Complior waveforms using the intersecting tangent method (TTComp* and PWVComp*; Figure 1a). Care was taken to place the transducers over the same point of the arteries, and the same distance (sternal notch to femoral artery) was used to calculate PWV. A minimum of 3 readings using each device was obtained by the same operator with the different devices used in random order for alternate measurements.

Because the influence of the timing algorithm could depend on the rate of change of the systolic upstroke of the pulse (dP/dt, calculated as the increment above diastolic pressure of the first systolic peak/shoulder, divided by the time to this peak/shoulder), this was computed from the carotid waveform obtained while measuring PWVSphyg. This waveform was also used to calculate carotid systolic blood pressure and carotid pulse pressure (which differ from brachial pressures as a result of peripheral amplification15), assuming brachial and carotid mean and diastolic pressures are equal.16

Study 1: Comparison of Resting Values of TT and PWV
Study 1 was performed in 43 subjects with a range of risk factors for cardiovascular disease or established cardiovascular disease (Table 1) and included subjects who also participated in studies 2 and 3. After 15 minutes of resting supine, brachial blood pressure was measured using an oscillometric device (Omron 705CP; Omron), and measurements of TT and PWV were obtained.


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TABLE 1. Subject Characteristics

Study 2: Comparison of PWV During Intravenous Infusion of Isoprotenerol
Study 2 was performed in 10 healthy volunteers (Table 1). After insertion of an intravenous cannula and after 15 minutes of rest supine, during which subjects received intravenous saline, baseline measurements of blood pressure and PWV were determined as described above. Subjects then received a stepped infusion of isoprotenerol (0.5, 1, and 1.5 µg/min, each dose for 20 minutes). Blood pressure and PWV were determined during the last 15 minutes of each dose.

Study 3: Comparison of PWV During Pacing-Induced Tachycardia
This study was performed in 11 subjects with permanent pacemakers (Table 1). Eight subjects had dual-chamber pacemakers and 3 had single chamber (VVI) pacemakers. The reasons for pacemaker insertion were complete heart block (n=8), sick sinus syndrome (n=2), and vasovagal syncope (n=1). After 15 minutes of rest supine, the pacemaker was programmed to ventricular rates of 80, 100, and 120 bpm. After 5 minutes at each step, measurements of blood pressure and PWV were repeated over a 15-minute period.

Statistical Analysis
Subject characteristics are summarized as means±SD and results as means±SEM (except where otherwise stated). Repeatability was assessed by calculating within-subject coefficient of variation (WCV)17 for repeated measurements. Values of TT and PWV were compared using a Bland-Altman plot with calculation of the mean difference and SD of the difference. ANOVA for repeated measures was used to test for changes in hemodynamic measurements during infusion of isoprotenerol and pacing-induced tachycardia. The significance level was set at P<0.05.


*    Results
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up arrowIntroduction
up arrowMethods
*Results
down arrowDiscussion
down arrowReferences
 
Study 1: Comparison of Resting Values of TT and PWV
For repeated measurements of TT, WCV was 5.6%, 6.8%, and 8.9%, for TTSphyg, TTComp, and TTComp*, respectively. For PWV, WCV obtained from the SphygmoCor and Complior devices were similar, irrespective of the timing algorithm used: WCV was 5.7%, 4.8%, and 5.5% for PWVSphyg, PWVComp, and PWVComp*, respectively. Values of TTSphyg were significantly lower than those of TTComp (mean difference±SD; 5.9±5.5 ms; P<0.001; Figure 2). Because of the reciprocal relationship between PWV and TT, this led to values of PWVSphyg significantly greater than those of PWVComp (mean difference±SD; 0.91±1.07 m/s; P<0.001), with the difference increasing with increasing PWV (Figure 3). At a mean PWV of 12 m/s, the difference was 1.7±0.75 m/s (mean±SD). However, when the intersecting tangent algorithm was implemented on waveforms recorded by the Complior device, values of PWVSphyg did not differ significantly from those of PWVComp* (Figures 2 and 3Down).



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Figure 2. a, Scatter plot showing TT determined by the Complior (TTComp and TTComp*) and SphygmoCor systems (TTSphyg). TTComp was calculated using the in-built Complior maximum upslope algorithm and TTComp* calculated using the intersecting tangent algorithm (as in the SphygmoCor). The dotted line is the line of identity, the broken line the regression line for TTComp vs TTSphyg, and the solid line the regression line for TTComp* vs TTSphyg. b, Bland-Altman plot showing the difference ({Delta}TT) between TTComp and TTSphyg plotted vs the mean of TTComp and TTSphyg. The solid line represents the mean value of {Delta}TT and the dotted lines mean±2 SD. c, Bland-Altman plot showing the difference ({Delta}TT) between TTComp* and TTSphyg plotted vs the mean of TTComp* and TTSphyg.



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Figure 3. a, Scatter plot showing PWV determined by the Complior (PWVComp and PWVComp*) and SphygmoCor systems (PWVSphyg). PWVComp was calculated using the in-built Complior maximum upslope algorithm and PWVComp* calculated using the intersecting tangent algorithm (as in the SphygmoCor). The dotted line is the line of identity, the broken line the regression line for PWVComp vs PWVSphyg, and the solid line the regression line for PWVComp* vs PWVSphyg. b, Bland-Altman plot showing the difference ({Delta}PWV) between PWVComp and PWVSphyg plotted vs the mean of PWVComp and PWVSphyg. The solid line represents the mean value of {Delta}PWV and the dotted lines mean ±2 SD. c, Bland-Altman plot showing the difference ({Delta}PWV) between PWVComp* and PWVSphyg plotted vs the mean of PWVComp* and PWVSphyg.

Study 2: Comparison of PWV During Intravenous Infusion of Isoprotenerol
During infusion of isoprotenerol, heart rate, brachial and carotid systolic blood pressure, pulse pressure, and dP/dt increased significantly (Table 2). There was a small but significant increase in mean arterial pressure (4±1 mm Hg at the highest dose; P<0.01). As in study 1, mean values of PWVSphyg were greater than those of PWVComp at rest and remained greater during infusion of isoprotenerol (P<0.001). Both PWVSphyg and PWVComp increased significantly (by 0.7±0.2 m/s and 0.9±0.2m/s, respectively, at the highest dose; each P<0.001). Application of the intersecting tangent algorithm to waveforms obtained using the Complior resulted in similar values of PWV to those obtained by the SphygmoCor (Figure 4).


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TABLE 2. Hemodynamic Measurements During Intravenous Isoproterenol



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Figure 4. PWV determined using the SphygmoCor system (intersecting tangent algorithm, PWVSphyg; •), the Complior system (maximum upslope, PWVComp; {circ}) and from Complior traces with the same intersecting tangent algorithm as used in the Sphygmocor system (PWVComp*; {triangleup}) during intravenous infusion of isoprotenerol (top) and during pacing (bottom). P<0.001 for the increase in PWV in each case.

Study 3: Comparison of PWV During Pacing Induced Tachycardia
Brachial and carotid systolic blood pressure and dP/dt did not change significantly during pacing from 80 to 120 bpm (Table 3). Diastolic blood pressure increased by 7±1 mm Hg (P<0.001), with a corresponding increase in mean arterial pressure of 5±1 mm Hg (P<0.01). Mean values of PWVSphyg were consistently higher than values of PWVComp throughout the paced heart rate range (Figure 4; P<0.001). PWVSphyg and PWVComp increased by 2.1±0.5 m/s and 1.1±0.2 m/s, respectively (each P<0.001). Mean values of PWVComp* obtained by applying the intersecting tangent algorithm to Complior waveforms did not differ significantly from those of PWVSphyg (Figure 4).


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TABLE 3. Hemodynamic Measurements During Pacing


*    Discussion
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
*Discussion
down arrowReferences
 
The first major finding of the present study is a substantial difference between values of PWV obtained using the SphygmoCor and Complior systems attributable to a systematic difference in TT. Because of the reciprocal relationship between PWV and TT, values of PWV obtained using the SphygmoCor system are greater than those obtained with the Complior and the difference increases in proportion to the mean value of PWV. At a mean value of 12 m/s, the difference between the 2 devices is 1.7 m/s. Using the coefficient relating PWV to age obtained in a healthy European population,18 this difference represents 27 years of vascular aging. Such a difference could, in principle, arise from the different transducers used in the 2 devices, difference between simultaneous (Complior) or sequential/ECG-referenced (SphygmoCor) recordings, or the different algorithms used to measure propagation time. When the intersecting tangent algorithm was used to calculate TT from waveforms recorded using the Complior, PWV values obtained from the 2 devices were in agreement. This suggests that computation of PWV is critically dependent on the algorithm used to determine TT and that the contribution of other sources of variation is relatively minor. Furthermore, within-subject variability was similar for PWVSphyg and PWVComp, suggesting that sequential acquisition of waveforms (SphygmoCor) does not contribute significantly to random variation when hemodynamic conditions are stable. Our study does not determine which of the 2 methods for measuring propagation time is "correct." A comparison with a definitive method would be ideal, but there is no consensus as to what constitutes the definitive method.10 However, there are theoretical reasons to prefer using the foot of the pressure wave as identified by the intersecting tangent method.13 The foot of the wave is least likely to be influenced by distortion of the pressure waveform during its forward propagation through the arterial tree attributable, for example, to pressure wave reflections.12,13,15

The impact of using the foot of the pressure wave (identified by the intersecting tangent algorithm) versus the maximum upstroke might be expected to depend on the initial rate of change of the pulse waveform and hence on heart rate or ejection time. It has been suggested that the variation of PWV with heart rate that has been observed in studies using the Complior system19 but not in studies using the foot-to-foot method is an artifact related to the algorithm used to measure propagation time.11,12 To examine this, we studied the effects of intravenous isoprotenerol and pacing-induced tachycardia. The only consistent hemodynamic changes common to both interventions were a marked increase in heart rate and a small (~5 mm Hg) increase in mean arterial blood pressure. For both interventions, the increase in heart rate was associated with an increase in PWV irrespective of the device or algorithm used. Thus, although the use of different timing algorithms produces different values of PWV, it is unlikely to account for variation of PWV with heart rate.

Comparison with previous studies in which we have produced acute changes in blood pressure in the absence of changes in heart rate suggest that the increase in mean arterial pressure was too small to account for the observed change in PWV.20 Furthermore, an increase in PWV with heart rate, in the absence of any change in mean arterial blood pressure, has been observed in other studies.19,21 Therefore, the results of the present study in combination with these other studies are consistent with a true increase in arterial PWV associated with an increase in heart rate. However, it is likely that the size of the effect varies according to age, gender, and degree of aortic stiffening.22 The possible mechanism underlying such an increase in PWV with heart rate remains poorly understood. Visco-elastic properties of the arterial wall have been invoked to explain variation of PWV with heart rate,21 but O’Rourke et al have argued that this explanation is unlikely.11,12 They point out that at the high frequencies that determine the foot of the wave, visco-elastic properties of the arterial wall vary little with heart rate.23–25 However, these experiments on visco-elastic properties of the arterial wall were performed in canine arteries, and we are not aware of any data in the human aorta. The positive correlation between PWV and heart rate observed in cross-sectional studies22,26,27 could be attributable to a similar effect to that observed in this study or to a chronic effect leading, for example, to increased PWV secondary to tissue fatigue.

It is important to note the limitations of this study relating to the interpretation of the changes in PWV seen during ß-adrenergic stimulation and pacing. Because changes in heart rate were also accompanied by changes in mean arterial pressure or pulse pressure, we cannot be certain that heart rate is the primary determinant of such changes. However, change in blood pressure would not be expected to influence the difference in PWV attributable to the timing algorithm. Thus, the fact that changes in heart rate were accompanied by changes in PWV calculated using different algorithms suggests that the influence of heart rate on PWV described in previous studies is unlikely to be explained by the timing algorithms used.

Perspectives
There are substantial differences between values of PWV obtained using the SphygmoCor and Complior systems, the 2 commercially available devices described in the recent task force recommendation on measuring arterial stiffness using PWV.9 The size of the difference is clinically significant, being equivalent to >2 decades of vascular aging for subjects with a moderate degree of aortic stiffening (PWV >12 m/s). Values obtained from the 2 devices cannot be used interchangeably, and the system used to measure PWV must be considered when estimating cardiovascular risk from measurements of PWV. The difference between the 2 systems is attributable to the algorithm used to calculate TT. However, the use of different algorithms does not explain variation of PWV with increases in heart rate produced by ß-adrenergic stimulation or pacing. Further studies to determine the mechanism underlying variation of PWV with heart rate are required.


*    Acknowledgments
 
S.C.M. was funded by Micro Medical Ltd., and A.D.S. was supported by a grant from the Charitable Foundation of Guy’s and St. Thomas’ Hospital. We are grateful to the pacing technicians from the Department of Cardiology, St. Thomas’ Hospital, for their assistance with this study.

Received September 21, 2004; first decision October 7, 2004; accepted December 14, 2004.


*    References
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
up arrowDiscussion
*References
 

  1. Blacher J, Guerin AP, Pannier B, Marchais SJ, Safar ME. Impact of aortic stiffness on survival in end-stage renal disease. Circulation. 1999; 99: 2434–2439.[Abstract/Free Full Text]
  2. Boutouyrie P, Tropeano AI, Asmar R, Gautier I, Benetos A, Lacolley P, Laurent S. Aortic stiffness is an independent predictor of primary coronary events in hypertensive patients: a longitudinal study. Hypertension. 2002; 39: 10–15.[Abstract/Free Full Text]
  3. Laurent S, Katsahian S, Fassot C, Tropeano AI, Gautier I, Laloux B, Boutouyrie P. Aortic stiffness is an independent predictor of fatal stroke in essential hypertension. Stroke. 2003; 34: 1203–1206.[Abstract/Free Full Text]
  4. Laurent S, Boutouyrie P, Asmar R, Gautier I, Laloux B, Guize L, Ducimetiere P, Benetos A. Aortic stiffness is an independent predictor of all-cause and cardiovascular mortality in hypertensive patients. Hypertension. 2001; 37: 1236–1241.[Abstract/Free Full Text]
  5. Cruickshank K, Riste L, Anderson SG, Wright JS, Dunn G, Gosling RG. Aortic pulse-wave velocity and its relationship to mortality in diabetes and glucose intolerance: an integrated index of vascular function? Circulation. 2002; 106: 2085–2090.[Abstract/Free Full Text]
  6. Meaume S, Benetos A, Henry OF, Rudnichi A, Safar ME. Aortic pulse wave velocity predicts cardiovascular mortality in subjects >70 years of age. Arterioscler Thromb Vasc Biol. 2001; 21: 2046–2050.[Abstract/Free Full Text]
  7. Moens AI. Die Pulskurve. Leiden, ed. 1878.
  8. Korteweg DJ. Über die Fortpflanzungsgesschwindigkeit des Schalles in elastischen Rohren. Annals of Physics and Chemistry (NS). 1878; 5: 520–537.
  9. Pannier BM, Avolio AP, Hoeks A, Mancia G, Takazawa K. Methods and devices for measuring arterial compliance in humans. Am J Hypertens. 2002; 15: 743–753.[CrossRef][Medline] [Order article via Infotrieve]
  10. O’Rourke MF, Staessen JA, Vlachopoulos C, Duprez D, Plante GE. Clinical applications of arterial stiffness; definitions and reference values. Am J Hypertens. 2002; 15: 426–444.[CrossRef][Medline] [Order article via Infotrieve]
  11. Hayward CS, Avolio AP, O’Rourke MF. Arterial pulse wave velocity and heart rate. Hypertension. 2002; 40: e8–e9.[Medline] [Order article via Infotrieve]
  12. O’Rourke MF, Hayward CS. Arterial stiffness, gender and heart rate. J Hypertens. 2003; 21: 487–490.[CrossRef][Medline] [Order article via Infotrieve]
  13. Chiu YC, Arand PW, Shroff SG, Feldman T, Carroll JD. Determination of pulse wave velocities with computerized algorithms. Am Heart J. 1991; 121: 1460–1470.[CrossRef][Medline] [Order article via Infotrieve]
  14. Asmar R, Benetos A, Topouchian J, Laurent P, Pannier B, Brisac A-M, Target R, Levy BI. Assessment of arterial distensibility by automatic pulse wave velocity measurement. Validation and clinical application studies. Hypertension. 1995; 26: 485–490.[Abstract/Free Full Text]
  15. Nichols WW, O’Rourke MF. McDonald’s Blood Flow in Arteries. Theoretical, Experimental and Clinical Principles. London, UK: Arnold; 1998.
  16. van Bortel LM, Balkestein EJ, Heijden-Spek JJ, Vanmolkot FH, Staessen JA, Kragten JA, Vredeveld JW, Safar ME, Struijker Boudier HA, Hoeks AP. Non-invasive assessment of local arterial pulse pressure: comparison of applanation tonometry and echo-tracking. J Hypertens. 2001; 19: 1037–1044.[CrossRef][Medline] [Order article via Infotrieve]
  17. Quan H, Shih WJ. Assessing reproducibility by the within-subject coefficient of variation with random effects model. Biometrics. 1996; 52: 1195–1203.[CrossRef][Medline] [Order article via Infotrieve]
  18. Asmar R. Factors influencing pulse wave velocity. In: Asmar R, ed. Arterial Stiffness and Pulse Wave Velocity. Paris, France: Elsevier; 1999: 57–88.
  19. Lantelme P, Mestre C, Lievre M, Gressard A, Milon H. Heart rate: an important confounder of pulse wave velocity assessment. Hypertension. 2002; 39: 1083–1087.[Abstract/Free Full Text]
  20. Stewart AD, Millasseau SC, Kearney MT, Ritter JM, Chowienczyk PJ. Effects of inhibition of basal nitric oxide synthesis on carotid-femoral pulse wave velocity and augmentation index in humans. Hypertension. 2003; 42: 915–918.[Abstract/Free Full Text]
  21. Haesler E, Lyon X, Pruvot E, Kappenberger L, Hayoz D. Confounding effects of heart rate on pulse wave velocity in paced patients with a low degree of atherosclerosis. J Hypertens. 2004; 22: 1317–1322.[CrossRef][Medline] [Order article via Infotrieve]
  22. Albaladejo P, Laurent P, Pannier B, Achimastos A, Safar M, Benetos A. Influence of sex on the relation between heart rate and aortic stiffness. J Hypertens. 2003; 21: 555–562.[CrossRef][Medline] [Order article via Infotrieve]
  23. Bergel DH. The dynamic elastic properties of the arterial wall. J Physiol (Lond). 1961; 156: 458–469.[Free Full Text]
  24. Callaghan FJ, Babbs CF, Bourland JD, Geddes LA. The relationship between arterial pulse-wave velocity and pulse frequency at different pressures. J Med Eng Technol. 1984; 8: 15–18.[Medline] [Order article via Infotrieve]
  25. Li JK, Melbin J, Riffle RA, Noordergraaf A. Pulse wave propagation. Circ Res. 1981; 49: 442–452.[Abstract/Free Full Text]
  26. Sa Cunha R, Pannier B, Benetos A, Siché J-P, London GM, Mallion JM, Safar ME. Association between high heart rate and high arterial rigidity in normotensive and hypertensive subjects. J Hypertens. 1997; 15: 1423–1430.[CrossRef][Medline] [Order article via Infotrieve]
  27. McGrath BP, Liang YL, Kotsopoulos D, Cameron JD. Impact of physical and physiological factors on arterial function. Clin Exp Pharmacol Physiol. 2001; 28: 1104–1107.[CrossRef][Medline] [Order article via Infotrieve]



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