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Am J Physiol Heart Circ Physiol 274: H1590-H1597, 1998;
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Vol. 274, Issue 5, H1590-H1597, May 1998

Step baroreflex response in awake patients undergoing carotid surgery: time- and frequency-domain analysis

Giora Landesberg1, Dan Adam3, Yacov Berlatzky2, and Solange Akselrod4

1 Departments of Anesthesiology and Critical Care Medicine and 2 Vascular Surgery and Transplantation, Hebrew University-Hadassah Hospital, Jerusalem 91120; 3 Department of Biomedical Engineering, The Technion-Institute of Technology, Haifa 32000; and 4 Department of Medical Physics, Tel-Aviv University, Tel-Aviv 69978, Israel

    ABSTRACT
Top
Abstract
Introduction
Methods
Results
Discussion
References

Step baroreceptor stimulation can provide an insight into the baroreflex control mechanism, yet this has never been done in humans. During carotid surgery under regional anesthesia, a step increase in baroreceptor stimulation occurs at carotid declamping immediately after removal of the intra-arterial atheromatous plaque. In 10 patients, the R-R interval and systolic and diastolic blood pressures (BP) were continuously recorded, and signals obtained within the time window from 10 min before until 10 min after carotid declamping were analyzed. Mean ± SD time signals, power spectra, and transfer and coherence functions before and after declamping were calculated. Immediately after carotid declamping, both heart rate (HR) and BP declined in an exponential-like manner lasting 10.3 ± 5.9 min, and their power spectra increased in the entire frequency range. Transfer function magnitude and coherence functions between BP and HR increased predominantly in the midfrequency region (~0.1 Hz), with no change in phase function. Thus, in carotid endarterectomy patients, step increase in baroreceptor gain elicits a prolonged decline in HR and BP. Frequency analyses support the notion that the baroreflex control mechanism generates the midfrequency HR and BP variability, although other frequency regions are also affected.

carotid baroreceptors; baroreflex control mechanism

    INTRODUCTION
Top
Abstract
Introduction
Methods
Results
Discussion
References

SYSTEM ANALYSIS of the human baroreflex control mechanism (BCM) is extremely difficult for several reasons. The BCM is a closed loop in the autonomic nervous system. It is strongly affected by various inputs from the central nervous system and is relatively inaccessible to direct and selective stimulation to its various elements, such as the baroreceptors. The heart rate (HR) and blood pressure (BP), often viewed as output signals of the baroreflex loop, are also state variables and inputs in this loop, making analysis of the system based on these parameters alone even more complex.

In humans, baroreflex "sensitivity" or gain is often estimated as the maximal HR response to an incremental change in systolic BP induced by intravenous injection of vasoactive drugs (e.g., phenylephrine and nitroglycerin) (25). An alternative method utilizes the ratio of HR to BP power spectra in the midfrequency (0.07-0.14 Hz), which is considered to represent the activity of the BCM (3, 31). With these two methods, it has been shown that patients with long-standing cardiovascular diseases, i.e., hypertension, coronary artery disease, congestive heart failure and diabetes mellitus, exhibit reduced baroreflex sensitivity (15, 24, 28). Yet these measurements provide only a narrow insight into the broad dynamic behavior of the BCM in both health and disease.

Carotid endarterectomy surgery is frequently accompanied by hemodynamic instability, believed to result from surgical stimulation of the carotid baroreceptors (6, 27). We have previously shown (21) in patients undergoing carotid endarterectomy under regional (cervical block) anesthesia that HR and BP decline immediately after carotid artery declamping and stabilize at a lower level. The most plausible explanation for this phenomenon is a step increase in baroreceptor stimulation secondary to the sudden distension and increased pulsatility of the carotid artery after surgical removal of the stiff intra-arterial plaque. In the present study, we further investigated the HR and BP changes occurring during carotid artery declamping by means of time- and frequency-domain analyses to shed more light on the BCM in patients undergoing carotid endarterectomy.

    METHODS
Top
Abstract
Introduction
Methods
Results
Discussion
References

Patients, anesthesia, and surgery. Ten of fifteen consecutive patients (7 men and 3 women) were included in this study. Excluded only were patients with abnormal heart rhythm (atrial fibrillation, multiple extrasystolic beats, or artificial pacemaker; 2 patients) and those in whom a carotid shunt was used intraoperatively because of the appearance of transient neurological disturbance after carotid clamping (3 patients). The mean age was 67 ± 9 yr. Six patients suffered from chronic ischemic heart disease (60%), seven had hypertension (70%), and three had diabetes mellitus (30%). Most patients were on oral cardiovascular medications: nitrates (2 of 10), calcium channel blockers (5 of 10), and beta -adrenergic blockers (2 of 10). The study was approved by the institutional ethics committee for human experimentation, and all patients gave their informed consent.

Cervical block anesthesia was performed with a total of 25 ml of 0.5% bupivacaine injected in the vicinity of cervical nerve roots C2, C3, and C4. Surgery was carried out with the patients fully awake and responsive. None of the patients suffered from Horner's syndrome, hemodynamic or respiratory disturbances, or other complications as a result of the cervical block anesthesia. The patients were monitored clinically throughout the procedure for any sign or symptom of neurological deficit as well as by computerized electroencephalogram (Cerebro-Trac 2500 SRD, Israel). None of the 10 patients exhibited any neurological disturbance during or after the procedure.

The common carotid in the operated side, its bifurcation, and the internal and external carotid arteries were dissected and separated from the internal jugular vein and the vagus nerve, and after administration of heparin (100 IU/kg iv), the common, internal, and external carotid arteries were clamped. During carotid clamping, the patient was carefully monitored for changes in neurological status, with alteration in mental, verbal, or physical response necessitating the immediate placement of a carotid shunt. The atheromatous plaque was carefully excised from inside the artery via a longitudinal arteriotomy incision across the bifurcation, leaving a clean and smooth surface in the tunica media of the artery. The arteriotomy was then sutured, the artery was flushed several times to ensure that no air or particulate matter remained in its lumen, and the external and common carotid artery clamps were removed first to avoid any possible embolization to the brain. A few seconds later the internal carotid artery was also declamped, and blood flow was restored to the brain. No vasoactive or cardioactive drugs were used during the clamping and declamping of the carotid artery unless the HR or systolic BP fell below 45 beats/min and 100 mmHg, respectively.

Data analysis. The R-R interval (RRI) was obtained from lead II or lead V5 of the electrocardiogram (ECG). The arterial BP waveform was obtained from an intra-arterial (radial artery) catheter (20 gauge) and transmitted through a fluid-filled tube connected to a transducer zeroed at the level of the heart. Correct damping of this arterial-line system was frequently checked using the fast-flush test (17) to avoid over- or underdamping before recording the data. Both ECG and arterial BP signals were recorded from the patient's monitor with a PC computer using an analog-to-digital converter (AT-CODAS Dataq Instruments, Keithley), a resolution of 12 bits, and a sampling rate of 250 samples/s for each signal. RRI and the systolic and diastolic data points were detected with the aid of a "peak-and-trough" identification utility. The peak-and-trough points were then visually validated, and errors were manually corrected within the AT-CODAS software to improve data quality. The data were imported to MATLAB 4.2c software (Math Works) for further signal processing.

The exact time of carotid artery declamping was recorded and used as the common time (t = 0) for all patients. A 20-min time window from 10 min before until 10 min after declamping was linearly interpolated at a rate of 16 Hz for each signal (RRI and systolic and diastolic BP). The means ± SD of RRI and systolic and diastolic BP signals for all 10 patients in the 20-min perideclamping time window were calculated. RRI and BP frequency-domain analyses included power spectra and coherence and transfer functions both before and immediately after carotid declamping. Frequency-domain data from 8 of the 10 patients were averaged and included in the statistical analysis. Two patients were excluded: one in whom the afferent baroreceptor nerves were probably injured during surgery, since no change in mean HR or BP trend or in their variability occurred after carotid declamping, and one in whom a very rapid decline (within <4 min) in HR and BP occurred after carotid declamping, requiring prompt pharmacological intervention, which interfered with the primary HR and BP response.

We used Welch's averaged periodogram algorithm for computing the power spectrum, cross-spectrum, and coherence and transfer functions (40). Epochs of 512-s duration of interpolated RRI and systolic and diastolic BP signals from both before and after carotid artery declamping were divided into nine overlapping segments of 128 s each. The segments were detrended (a linear trend was subtracted), Hanning windowed, and fast Fourier transformed, using common MATLAB routines. The periodograms were averaged to produce the spectrum estimate. The frequency resolution obtained was 0.0078 Hz. For the purpose of statistical comparison between the pre- and postdeclamping power spectra, each patient's power spectral density (PSD) functions were normalized to his or her own predeclamping total power. The frequency ( f ) range (0-0.45 Hz) was divided into three regions, low ( f < 0.07 Hz), mid (0.07 <=  f <=  0.14 Hz), and high (0.14 < f <=  0.45 Hz), and the normalized regional power (area under power spectrum curve in each frequency region) was calculated. Paired t-test analysis was used for statistical comparisons between the pre- and postdeclamping power spectra for each of the frequency regions. Coherence and transfer functions were similarly calculated by using Welch's algorithm of averaging the results obtained from the nine overlapping segments. Repeated-measures ANOVA (Duncan's multiple range test) was used to compare between the post- and predeclamping transfer and coherence functions (SPSS for Windows 5.01).

    RESULTS
Top
Abstract
Introduction
Methods
Results
Discussion
References

Time-domain results. Carotid artery declamping was associated with an exponential-like decline in both HR and BP in 9 of the 10 patients. In only one patient were HR and BP not affected and remained unchanged after carotid declamping. Figure 1 displays HR (RRI) and systolic BP response to carotid artery declamping in a representative patient. The mean ± SD RRI and systolic and diastolic BP trends for all 10 patients from 10 min before up to 10 min after carotid declamping are presented in Fig. 2. A slow decline in both HR and BP is evident after declamping. The time elapsed from carotid artery declamping to stabilization of HR and BP at lower levels was 10.3 ± 5.9 min. If an exponential decline is assumed, the mean ± SD time constant of HR and BP decline was 6.5 ± 3.7 min, the time constant defined as the time at which HR and BP achieved 1 - (1/e) of their measured plateau value.


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Fig. 1.   R-R interval (RRI) and systolic blood pressure (BP) trends during carotid endarterectomy in a typical patient from study.


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Fig. 2.   Mean ± SD RRI and systolic and diastolic BP trends during carotid artery declamping of 10 patients; t = 0 is exact time of carotid declamping in all patients.

Frequency-domain results. Figure 3 presents mean (and mean + SD) normalized pre- and postdeclamping PSD of eight patients. Mean PSD was higher after declamping compared with that before declamping over the entire frequency range (0 < f < 0.5 Hz) in both RRI and BP signals. Table 1 shows that there was a statistically significant increase in total power after declamping in all three frequency regions (low, mid, and high) in both HR- and BP-related signals, except for the low and midfrequencies in the diastolic BP.


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Fig. 3.   Pre- and postdeclamping normalized power spectra of RRI, systolic and diastolic BP, and pulse pressure. In each panel, bottom 2 curves represent mean (bottom solid curve) and mean + SD (bottom dashed curve) normalized predeclamping spectra, and top 2 curves correspond to postdeclamping mean (top solid curve) and mean + SD (top dashed curve) spectra.

                              
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Table 1.   Comparison between pre- and postdeclamping normalized power spectra in different frequency regions

The mean systolic and diastolic BP to RRI coherence and transfer functions averaged for eight patients before and after carotid artery declamping are presented in Fig 4. Figure 5 demonstrates the mean and 25th and 75th percentiles of the difference between post- and predeclamping transfer functions. The postdeclamping transfer function magnitudes were significantly greater than the predeclamping ones for both the systolic and the diastolic BP vs. the RRI transfer functions (repeated-measures ANOVA, P < 0.0001). Figures 4 and 5 both demonstrate that BP affects RRI over a wide frequency range, peaking in the 0.05- to 0.15-Hz region. This peak significantly increased after carotid declamping. The phase lag between RRI and systolic BP at that frequency region was between -100 and -50°, whereas the phase lag of RRI from diastolic BP was between -180 and -120°. There were no differences between the pre- and postdeclamping phase transfer functions. The coherence functions of both systolic and diastolic BP vs. RRI signals also increased significantly after declamping (P = 0.01 and P = 0.05, respectively), peaking in the frequency region of 0.05-0.2 Hz.


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Fig. 4.   Mean pre- (nonbold line) and postdeclamping (bold line) transfer functions (A) of baroreflex control mechanism (BCM), assuming systolic (or diastolic) BP (SBP and DBP, respectively) and RRI as input and output of system, respectively. Mean coherence functions between systolic (and diastolic) BP and RRI are presented in B.


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Fig. 5.   Difference between post- and predeclamping transfer function. Median and 25th and 75th percentile functions are presented to show that transfer function increased significantly after carotid declamping and that increase was most significant in midfrequency region.

    DISCUSSION
Top
Abstract
Introduction
Methods
Results
Discussion
References

Time- and frequency-domain analysis of a system's step response is a recognized method of studying its dynamic behavior. In the present study, we utilized the unique conditions of carotid endarterectomy to investigate the step baroreflex response occurring after carotid declamping.

Two main findings emerge from our data. First, HR and BP decline after carotid artery declamping in an exponential-like manner within 5-15 min (time constant: 6.5 ± 3.7 min) until both stabilize at the lower level. Second, carotid artery declamping causes an increase in HR and BP power spectra in their transfer function magnitude and coherence function between the two signals. The power spectra and transfer functions increase over a wide range of frequencies and not exclusively at the midfrequency region (0.07-0.14 Hz) commonly attributed to baroreflex activity (Figs. 3 and 4, Table 1). However, the peak increase in transfer function magnitude occurred in the midfrequency region, and no difference was observed between the pre- and postdeclamping phase transfer functions (Fig. 4).

Most previous studies used intravenous injection of vasoactive drugs to trigger the BCM (18, 37). This approach is bound with major limitations. The vasoactive drugs do not affect the baroreceptors directly but instead alter BP by stimulating the peripheral vascular bed and therefore directly and indirectly interfere with other elements of the BCM. Additionally, this method induces only a short-term disturbance in BP followed by only a brief shift in HR, a manipulation far from being a true step input to the baroreceptors. Direct stimulation of the carotid baroreceptors by a pneumatic neck chamber causes a maximal change in HR within 2-4 s following a step increase or decrease in neck pressure (4, 9, 21); yet, with this method also, the step change in neck pressure can be maintained in humans for only a brief period of time (<5 s; Ref. 8) for obvious reasons. Step increase in carotid pressure in conscious healthy dogs with a surgically isolated carotid sinus caused a decline in HR and BP within 10-20 s, with complete stabilization after 40-60 s (39). True step baroreflex response has never been studied in humans, and no previous study has ever shown a prolonged baroreflex response as consistently observed in our elderly patients undergoing carotid endarterectomy.

Figure 6 gives a schematic representation of the main elements of the BCM, most of which are fast acting under normal conditions. The sinoatrial (SA) node responds to carotid stimulation within 0.5-0.6 s, and the time to peak HR change is 2-4 s (2). The latency between carotid stimulation and the resultant diastolic BP decline is ~2.5 s, and the time to peak BP response is 15-20 s (6, 16). Baroreceptor response time (<100 ms; Ref. 14), baroreceptor afferent nerve conduction time (~5 ms), and vagal and sympathetic conduction time to the SA node (~55 ms) and the peripheral vascular bed (<1 s), respectively, are all very fast (38). Nevertheless, at least three different sites in the baroreflex loop may contain longer-acting components. First, a step increase in BP causes an immediate rise in baroreceptor nerve activity, which then declines exponentially over the next 6-10 min by ~80% and resets at a new lower level, even though the high BP is maintained (5). This is known as the baroreceptors' acute adaptation mechanism (4, 26, 36). Although this mechanism alone does not explain our current observations, it does prove the existence of slow-reacting components in the BCM. Second, besides the SA node and arterial vascular bed, the BCM affects also the venous vascular bed and its capacitance (10, 12). Baroreflex sensitivity is strongly affected by cardiac preload, and reduction in central venous pressure significantly improves the baroreflex response in both humans and dogs (29, 32). Little is known, however, about the time response of the venous vascular bed to baroreflex stimulation. Previous studies on a dog model with isolated carotid sinus and full control over arterial and venous pressures and flows with roller pumps have shown that venous capacity and the unstressed venous volume rise exponentially over a period of 3-6 min in response to a step increase in carotid sinus pressure (33-35). Slowly dilating venous vessels may therefore be the mechanism responsible for the prolonged baroreflex response observed in patients undergoing carotid endarterectomy. Third, very little is known about the transfer function and dynamic response of the human vasomotor center because of its complexity and inaccessibility to direct stimulation and output measurements. It is only known that the latency period of the vasomotor center under normal conditions is ~0.2-0.4 s (8). Using an analytical model of the BCM (19, 20), we have shown that a proportional and integrator (PI) controller included in the vasomotor center model can mimic the HR and BP time-domain behavior after carotid declamping. Moreover, an increase in the integrator gain in the PI controller may explain the reduced baroreflex sensitivity occurring with age and in cardiovascular diseases (19). The low-pass filter effects of the PI controller may also explain the reduced HR and BP variability in the mid- and high frequency regions seen in elderly people with cardiovascular diseases.


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Fig. 6.   Schematic representation of BCM with its known main elements and possible locations for proposed slowly responding components (baroreceptors: adaptation mechanism, slow venous baroreflex response, and proportional and integrator controller in vasomotor center). SA, sinoatrial.

No previous study investigated the HR and BP frequency response to a direct step input to the carotid baroreceptors in humans. The neck chamber technique provides a too short-term (~5 s) pulse of carotid stimulation (1, 30), insufficient to collect adequate data for frequency-domain analysis. As anticipated in our elderly patients undergoing carotid endarterectomy, baseline (predeclamping) HR and BP power spectra were markedly depressed in the mid- and high frequency before carotid declamping. Carotid declamping "normalized" their HR rate and BP variability as seen from the significant increase in both HR and (systolic and diastolic) BP power spectra over the entire frequency range (0-0.5 Hz). The transfer function, assuming BP as an input and HR as an output, showed a maximal increase in magnitude in the midfrequency region (~0.1 Hz), with an additional, though less significant, increase in the high-frequency region (Fig. 4). The coherence function between BP and HR signals, which was very low before carotid declamping, increased after declamping and reached above the 50% level considered significant (13) in the 0.05- to 0.2-Hz region. These findings support the concept that the midfrequency (0.07-0.14 Hz) region in HR and BP variability is generated by the BCM (7, 23), although other frequency regions were also affected, as predicted on theoretical grounds by a control model of the baroreflex loop (19, 20). Because only the amplitude and not the phase transfer function was augmented after declamping, one may assume a nearly pure increase in gain of the BCM after carotid declamping.

Study limitations. We utilized the standard clinical setting of carotid surgery to study the BCM in elderly patients with chronic cardiovascular diseases. Although this is the strength, it is also the main limitation of the study, restricted by the given clinical and ethical boundaries. First, the step input was applied to only one carotid artery while the other (carotid and aortic arch) baroreceptors remained intact and capable of responding to the hemodynamic disturbance caused by the carotid declamping. It is therefore possible that the mixed and multifrequency picture obtained from the spectral analyses after carotid declamping was in part the result of secondary reactions of the other baroreceptors to the hemodynamic changes rather than reflecting a pure step baroreflex response. Second, carotid artery declamping is performed late in the surgery after the artery is dissected from its surrounding sheath, clamped, incised, and then sutured back. It is therefore possible that some damage to the baroreceptor nerves may have occurred in some of the patients during the procedure. Nevertheless, our data show that, despite the possible local damage to the baroreceptors, there was a remarkable step increase in baroreceptor gain after declamping as denoted by the immediate and significant decline in both HR and BP and by the marked increase in their variability. It is not inconceivable that the step baroreflex response could have been even more pronounced were the baroreceptor nerves not damaged.

In conclusion, our data obtained from elderly patients with cardiovascular diseases undergoing carotid endarterectomy show that the BCM may include slow-acting components which allow the cardiovascular system to gradually adjust to abrupt changes in baroreceptor stimulation and that the BCM is probably the generator of the midfrequency peak in HR and BP variability, although its effect is not limited to that region and may significantly influence other frequency regions as well.

    FOOTNOTES

Address for reprint requests: G. Landesberg, Dept. of Anesthesiology and Critical Care Medicine, Hadassah University Hospital, Jerusalem, Israel 91120.

Received 11 July 1997; accepted in final form 5 January 1998.

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Top
Abstract
Introduction
Methods
Results
Discussion
References

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AJP Heart Circ Physiol 274(5):H1590-H1597
0363-6135/98 $5.00 Copyright © 1998 the American Physiological Society



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