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(Hypertension. 2008;51:112.)
© 2008 American Heart Association, Inc.
Original Articles |
From the Cardiovascular Division, Kings College London School of Medicine, St Thomas Hospital, London, United Kingdom.
Correspondence to Philip Chowienczyk, Department of Clinical Pharmacology, St Thomas Hospital, Lambeth Palace Rd, London SE1 7EH, United Kingdom. E-mail phil.chowienczyk{at}kcl.ac.uk
| Abstract |
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Key Words: aorta augmentation index central blood pressure pulse pressure pulse wave analysis
| Introduction |
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Augmentation of central arterial pressure and peripheral amplification have been regarded as largely unrelated phenomena, with the former being determined by characteristics of wave propagation in the aorta and by reflections from the head and lower body and the latter by reflections from the upper limb. However, cAI is closely related to the peripheral AI (pAI), a measurement taken direct from the late systolic shoulder (pSBP2) of the peripheral arterial waveform (Figure 1), which, in turn, may approximate cSBP.7 This implies a direct relationship between amplification and augmentation. The purpose of this study was to investigate how closely pSBP2 equates to cSBP and to define the relationship between AI and cSBP. We first investigated the relationship between pSBP2 and cSBP estimated noninvasively using a transfer function. We then examined the relationship of pSBP2 to cSBP measured invasively at the time of cardiac catheterization. The relationship between central and peripheral pressure is critically dependent on heart rate and tone of muscular arteries.8–10 We, therefore, made measurements during atrial pacing and during administration of nitroglycerin (NTG) to determine whether relationships observed at baseline held during these interventions.
| Methods |
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Study 1: Noninvasive Assessment of Central Blood Pressure (n=391)
Applanation tonometry of the radial artery was performed with subjects seated and after resting for
15 minutes using the SphygmoCor system (Atcor). Blood pressure was measured according to British Hypertension Society guidelines using a validated oscillometric device (Omron 705, Omron). The inbuilt software in the SphygmoCor system was used to obtain measurements (pSBP2, pAI, cSBP, and cAI, defined as in Figure 1) using a transfer function to estimate aortic pressure from radial pressure. Mean values of these measurements were obtained from 3 consecutive recordings. Waveforms for which a late systolic shoulder in the radial waveform could not be identified and, hence, for which SBP2 could not be obtained by the inbuilt software were excluded from the analysis.
Study 2: Comparison of Peripheral and Aortic Pressure Waveforms (n=12)
In this study peripheral pressure waveforms were acquired from the digital artery using a servocontrolled finger pressure cuff (Finometer, Finapres Medical Systems). We have shown previously that digital artery waveforms obtained in this way are similar to radial artery waveforms acquired using the SphygmoCor system.11 A Finometer was used in preference to the SphygmoCor system, because it allowed continuous recordings of peripheral pressure facilitating simultaneous comparison of digital pressure with aortic pressure. The left arm and hand were placed in a neutral position, and the Finopress transducer was attached to the left index finger with the finger
10 cm below the level of the heart. Following standard preparations for angioplasty, vascular access to the right femoral artery and right femoral vein was established with hemostatic sheaths. In 10 subjects, a Millar SPC-454D (Millar Instruments) high-fidelity pressure-tipped catheter was passed through the femoral arterial sheath over a guide wire and, using fluoroscopic guidance, the tip of the catheter was positioned in the proximal aortic root. The combined frequency response of the catheter and amplifier was flat to >100 Hz. In the remaining subjects (n=2), a standard fluid filled catheter was used. The subject was systemically heparinized with a weight-adjusted dose of unfractionated heparin to reduce the risk of thrombus formation within the catheter. A bipolar temporary pacing electrode was passed via the right femoral venous sheath and positioned under fluoroscopic guidance at a stable site in the right atrium ensuring consistent atrial capture. After
10 minutes resting supine when the subject was hemodynamically stable, baseline measurements of aortic root pressure and digital pressure were obtained over a 3- to 4-minute period. Right atrial pacing was then initiated at a rate of 20 bpm above the resting heart rate. Pacing was maintained for
60 seconds at the faster rate before simultaneous aortic catheter and digital artery pressure recordings were made. Pacing was then discontinued for the remainder of the study. After the return of heart rate and blood pressure to baseline and further baseline recordings, subjects then underwent a cumulative dose infusion of NTG (10 and 100 µg/min; each dose for 5 minutes) with recording of aortic and digital artery pressures over the last 1 minute of the infusion period.
Digital and Radial Artery Pressure Calibration and Waveform Analysis
In study 1, radial artery pressure waveforms were calibrated from brachial artery measurements of blood pressure. Aortic waveforms were calibrated using the SphygmoCor software assuming peripheral diastolic and mean arterial pressures to be equal to aortic diastolic and mean pressures, respectively. Equality of peripheral and central diastolic and mean pressure has been demonstrated previously when peripheral pressure is measured invasively.5 In the invasive study, absolute measurements of aortic pressure were available, and peripheral digital artery pressure was calibrated from invasively acquired mean and diastolic pressure. Pressure waveforms were sampled at 1000 Hz and stored on disk for offline analysis using in-house software developed in MatLab (Matlab, Mathworks USA, version 7). Waveforms were filtered using a fifth-order Butterworth low-pass filter with cutoff frequency of 22.5 Hz. The points P1 on the aortic pressure waveform and pSBP2 on the digital waveform were determined by first identifying local minima and maxima of the first derivative of the pressure signal (to identify consecutive changes in the gradient of the waveform) and then defined by the intersection of tangents to the curve at these points. This algorithm was applied to an ensemble average of
10 waveforms and, in addition, to individual waveforms with a mean value of SBP2 calculated from values for individual waveforms (n
10). Values of SBP2 identified by the algorithm were marked on the waveform and were verified by inspection of the waveform.
Statistics
Subject characteristics are expressed as means (SDs). Except where stated, results are expressed as means±SEs. Bivariate comparisons were made using Pearsons correlation coefficient. Agreement between measures was assessed by Bland-Altman plots and quantified by the mean value and SD of the difference between the 2 measures. Changes in hemodynamic measures after NTG and pacing were assessed using ANOVA for repeated measures. All of the tests were 2 tailed, and P<0.05 was considered significant.
| Results |
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Study 2: Comparison of Peripheral and Aortic Pressure Waveforms (n=12)
Both pacing and NTG produced marked alterations in waveform morphology (Figure 4 and Table 3). NTG had no significant effect on diastolic pressure but reduced both peripheral and central systolic and pulse pressures, with a greater effect on central pressures than on peripheral pressures. The higher dose of NTG (100 µg/min) reduced pSBP and pPP by 13±5.0 and 11±4.3 mm Hg, respectively (each P<0.05) and reduced cSBP and cPP by 23±3.3 and 21±2.3 mm Hg, respectively (each P<0.001 and P<0.01 for comparison of central versus peripheral measures, respectively). NTG (100 µg/min) also reduced pAI and cAI by 20±3.0% and 30±6.7%, respectively (each P<0.001). Pacing was associated with a small increase in diastolic pressure and no significant change in pSBP or cSBP but a reduction in the pPP of 6.0±2.8 mm Hg (P<0.05) and a greater reduction in the cPP of 11±2.1 mm Hg (P<0.01 compared with baseline and P<0.05 compared with change in pPP). Pacing also reduced pAI and cAI (by 11±1.6% and 12±4.4%, respectively; each P<0.05 compared with baseline). For both interventions cAI changed in parallel with pAI (Figure 5).
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Using the intersecting tangent algorithm applied to an ensemble average of
10 consecutive cardiac cycles, SBP2 was identified in all but 6 of 48 waveforms. Applying the algorithm to individual cardiac cycles with pSBP2 calculated as an average from values obtained from each cardiac cycle gave virtually identical results and was successful in all but 3 of 48 waveforms. Subsequent inspection of these waveforms (which were all from the same subject) revealed the traces to be of poor quality with baseline drift and high-frequency noise. Despite the alterations in waveform morphology induced by pacing and NTG and the differential effects of these interventions on pSBP and cSBP, pSBP2 closely approximated true cSBP (R=0.96; P<0.0001; Figure 6). The mean (SD) difference between pSBP2 and cSBP was –1.8 (4.0) mm Hg at baseline and –1.7 (4.8) mm Hg under all conditions (baseline, pacing, and after NTG), whereas the difference (under all conditions) between pSBP and cSBP was 25 (24) mm Hg.
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| Discussion |
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To confirm the relationship between pSBP2 and cSBP, we made direct measurements of aortic pressure at rest and during administration of NTG and pacing, interventions known to modify waveform morphology and/or the relationship between peripheral and central blood pressure. NTG reduces AI and has a greater effect on central than on peripheral blood pressure.10 Heart rate is negatively associated with AI, and increases in heart rate produced by pacing reduce AI.8 The present results confirm those of previous studies with NTG reducing both cAI and pAI and producing a greater reduction of central than of peripheral blood pressure. Pacing at 20 beats above baseline also reduced cAI and pAI and had a differential effect on central and peripheral systolic pulse pressure. Despite the changes in waveform morphology and differential effects on central and peripheral pressures produced by NTG and pacing, pSBP2 closely approximated cSBP at baseline, during NTG, and during pacing. These results confirm those of the noninvasive study. Taken together, results of the 2 studies suggest that the relationship between pSBP2 and cSBP holds true across a wide range of subjects and during interventions that modify waveform morphology and influence central/peripheral blood pressure. The results are consistent with those obtained by Pauca et al7 in hypertensive and elderly subjects. Further invasive studies to confirm the relationship between pSBP2 and cSBP would be useful, especially in children and young adults who were not represented in our sample and during interventions that increase arterial stiffness or wave reflections.
Our study suggests that a transfer function is not necessarily required to estimate cSBP because this can be estimated directly from a peripheral pressure waveform. The accuracy of the transfer function approach for estimating central blood pressure has been questioned.13,14 However, it is now accepted that inaccuracies in the use of the transfer function relate mainly to the calibration of peripheral blood pressure rather than to the accuracy of the transfer function, per se.15 When peripheral pressure waveforms are calibrated from invasive recordings, the transfer function has been extensively validated.3,16 Indeed, the equality of pSBP2 and transfer function estimates of cSBP in this study further supports the validity of the transfer function. Estimation of central pressure direct from the peripheral pulse will be subject to exactly the same calibration error as in the transfer function–derived values. It has the advantage of simplicity and potentially avoids bias that may arise when the transfer function is applied to subjects with characteristics that may differ from the group in which it has been derived. A disadvantage of the use of pSBP2 is that it is sometimes difficult to detect. However, our results suggest that this may be because of ensemble averaging of the waveforms, which removes fine detail. Application of the intersecting tangent algorithm that we used for individual cardiac cycles with subsequent averaging of pSBP2 was successful in all of the waveforms of reasonable quality.
Because SBP2 equates to central pressure and, together with diastolic pressure, determines pAI, there is a simple relationship among pAI, cPPs, and cPPs: equation
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Thus, pAI defines the ratio of cPP:pPP. Because AI depends only on the shape of the arterial waveform, this relationship will be independent of the calibration of the arterial waveform. This is of critical importance given that errors induced by peripheral calibration are the main source of error when estimating central pressure from peripheral pressure.15 pAI may be regarded as the amount by which central pressure is reduced relative to peripheral pressure independent of the accuracy of blood pressure measurement and technique used to calibrate the peripheral blood pressure waveform.
The present study also addresses the relationship between pAI and cAI. We have observed previously that cAI, estimated by means of a transfer function, and pAI are strongly correlated and change in parallel in response to alterations in vasomotor tone.17 Results of this study confirm these findings and extend them showing that cAI measured directly from the aortic waveform changes in parallel with pAI. Central augmentation and peripheral amplification have been regarded previously as independent phenomena with central augmentation dependent on the tone of muscular arteries and pressure wave reflection within the systemic circulation. The present study shows that central augmentation is closely related to peripheral augmentation and, hence, to the ratio of cPP:pPP. However, it is unlikely that the relationship between central augmentation and peripheral amplification results from a relation between propagation characteristics of the upper limb and those of the systemic circulation. Propagation characteristics of the upper limb are thought to remain constant for a given frequency content (this being the basis of the transfer function approach for estimation of central from peripheral pressure). Furthermore, in the present study we observed parallel changes in augmentation and peripheral amplification after pacing, an intervention unlikely to alter upper limb propagation by a mechanism other than a shift in frequency of the arterial pressure wave. It is more likely that the close relationship between augmentation and peripheral amplification is explained by both measures being influenced by a shift in the frequency spectrum of the central arterial pressure wave consequent on either a change in heart rate (as induced by pacing in the present study) or alterations in the tone of muscular arteries that determine systemic impedance, pressure wave reflection, and the frequency content of the arterial waveform. The relationship between augmentation and cSBP explains why both measures are related to cardiovascular outcome6,18 and that adverse outcome associated with high augmentation can be explained by high central pressures.
Twin studies have shown that AI has much higher heritability than simple blood pressure traits and that a combination of genetic and environmental factors account for the majority of the variance in AI.19 The present study suggests that these same factors will have a direct influence on the relationship between peripheral and central blood pressure. Given the emerging evidence on the importance of central blood pressure in determining cardiovascular outcome,6 it may be that such genetic determinants of AI are as important or more important than those of peripheral systolic blood pressure on "blood pressure–related" cardiovascular outcome. Similarly, environmental factors associated with increased AI will effectively increase cSBP above pSBP. Most but not all studies suggest increased pressure augmentation in subjects with diabetes,20–23 and this could explain why subjects with diabetes benefit from the reduction of blood pressure to lower levels than in nondiabetic subjects.
The efficacy of antihypertensive drugs to lower cSBP will be determined by effects on both AI and peripheral blood pressure, and effects on cSBP can be predicted from the relationships established in the present study. AI is determined by arteries proximal to resistance vessels, rather than by resistance vessels traditionally thought to be the target of antihypertensive drugs.3 Drugs or drug combinations that have a dual action on muscular arteries and resistance vessels will, thus, have multiplicative effects on cSBP. Nitrates are known to reduce AI and cSBP to a greater extent than peripheral blood pressure.10 Drugs that stimulate endothelium-dependent NO release also reduce AI without effect on peripheral blood pressure24–26 and can, therefore, be expected to lower cSBP.
Perspectives
pSBP is amplified above central aortic systolic pressure, but the late systolic shoulder or point of systolic augmentation in the peripheral pulse closely approximates cSBP. pAI approximates the ratio of cPP:pPP. There is a close relationship between cAI and pAIs, so central pressure augmentation and amplification of pPP are closely related. This explains the prognostic impact of AI in terms of central blood pressure, identifies conditions associated with increased augmentation as benefiting from more aggressive blood pressure reduction, and suggests that interventions to lower AI and peripheral vascular resistance will have multiplicative effects on central blood pressure.
| Acknowledgments |
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This work was supported by a British Heart Foundation Fellowship to S.M. (FS/04/059).
Disclosures
P.C. was a shareholder in Micro Medical Ltd until March 2005. The remaining authors report no conflicts.
Received June 8, 2007; first decision July 12, 2007; accepted October 18, 2007.
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