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Am J Physiol Heart Circ Physiol 282: H244-H255, 2002;
0363-6135/02 $5.00
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Vol. 282, Issue 1, H244-H255, January 2002

Comparative analysis of aortic impedance and wave reflection in ferrets and dogs

R. Burattini1,2 and K. B. Campbell2

1 Department of Electronics and Automatics, University of Ancona, 60131 Ancona, Italy; and 2 Department of Veterinary and Comparative Anatomy, Pharmacology and Physiology, Washington State University, Pullman, Washington 99164-6520


    ABSTRACT
TOP
ABSTRACT
INTRODUCTION
GLOSSARY
METHODS
RESULTS
DISCUSSION
REFERENCES

Our modified version of the T-tube arterial model (consisting of two parallel, loss-free transmission paths terminating in lumped loads of complex and frequency-dependent nature) was applied to experimental measurements of ascending aortic pressure and of ascending and descending aortic flows taken from dogs and ferrets. Our aim was to provide quantitative evaluation of the aortic pressure and flow pulse wave components as they relate to the distribution of arterial properties and relate to wave travel and reflection in mammalians of consistently different size and shape. Estimated effective lengths (distances to effective reflection sites) of the head-end (dh) and body-end (db) transmission paths were ~12 and 30 cm, respectively, in the dog and 6.5 and 13 cm, respectively, in the ferret. These lengths and distributions of estimated arterial properties were consistent with the difference in the body size and with the more central location of the heart in the ferret's body than it is in the dog's body. In both animal species the ascending aortic pressure and flow waves could be interpreted in terms of forward and reflected components arising from the two distinct effective reflection sites, although the higher dh/db ratio in the ferret determined the presence of one broad, indistinct minimum in the modulus of ascending aortic impedance in the frequency range from 0 to 10 Hz, rather than two distinct minima as observed in the dog.

arterial pulse wave propagation; arterial effective reflection sites; arterial compliance; T-tube arterial model


    INTRODUCTION
TOP
ABSTRACT
INTRODUCTION
GLOSSARY
METHODS
RESULTS
DISCUSSION
REFERENCES

ARTERIAL WAVE REFLECTION is generally recognized as an important phenomenon affecting pressure and flow pulse contour from the ejecting ventricle (14, 16, 18-22, 27, 29). Differences in aortic pressure waveforms and input impedance characteristics among various animal species have been attributed to differences in wave reflection as they relate to animal size and shape (1, 17, 18). Specifically, the size of the animal determines transmission path length. Because there is little variation in wave velocity among animals, size (through its effect on transmission path length) also determines the time of arrival of reflected waves at the aortic root. An essential aspect of arterial wave reflection, as seen from the aortic root, is whether reflected waves appear to arise from one or two functionally discrete reflecting sites. This issue has long been a matter of discussion (3, 6, 7, 9, 12, 15, 18, 24). The presence of two arterial effective reflecting sites (one being the result of all arterial terminations in the upper part of the body, and the other the result of all terminations in the lower part of the body) was first suggested and conceptually explained in terms of an asymmetric T-tube model by McDonald (16, 18) and has been used by O'Rourke and co-workers (1, 17-21) as a conceptual basis for explaining arterial impedance patterns and pressure and flow wave shapes in a variety of animals and in humans. Recently, it has been shown that a modified T-tube formulation with loss-free transmission paths terminating in lumped loads of complex and frequency-dependent nature is necessary for identifying the parameters of physiological interest, for interpreting wave travel and reflection along the descending thoracic aorta and, eventually, for discriminating between proximal and distal mechanical properties of descending aortic circulation (3-6, 9, 11, 25). However, these reported applications of modified T-tube model were performed on dogs. To ascertain the applicability of this model within the mammalian kingdom, a comparative study in dogs and ferrets is performed in the present study.

The ferret has a decidedly different body size and shape than the dog. The typical 1.6-kg male ferret is a long slender animal with short legs, whereas a typical 25-kg dog is much bulkier and longer limbed. Additionally, the ferret differs from the dog in having a heart more centrally placed along the long axis of the body. Thus our T-tube model-based comparison of arterial hemodynamics in dogs and ferrets was expected to provide quantitative evaluation of the aortic pressure and flow pulse wave components as they relate to distribution of arterial properties and wave travel and reflection in mammalians of consistently different size and shape.


    GLOSSARY
TOP
ABSTRACT
INTRODUCTION
GLOSSARY
METHODS
RESULTS
DISCUSSION
REFERENCES


AV-M   Aortic valve to mandible distance
AV-T   Aortic valve to base of tail distance
ci   Compliance per unit length of head-end (i = h) and body-end (i = b) transmission tube
cidi   Head-end (i = h) and body-end (i = b) tube compliance
CLi   Head-end (i = h) and body-end (i = b) terminal load compliance obtained from viscoelastic windkessel representation
Ct   Total T-tube model compliance
Ci   Overall head-end (i = h) and body-end (i = b) compliance
di   Length of head-end (i = h) and body-end (i = b) transmission tube
HR   Heart rate
li   Inertance per unit length of head-end (i = h) and body-end (i = b) transmission tube
lidi   Head-end (i = h) and body-end (i = b) tube inertance
n   Integer number that, in accordance with Fourier analysis of pressure and flow waves, varies from 0 to 15-20
 P   Mean pressure in the ascending aorta
 Q   Mean flow in the ascending aorta
 Qb/Q   Ratio of descending to ascending aortic mean flow
Rdi   Viscous resistance of viscoelastic windkessel model assumed to represent head-end (i = h) and body-end (i = b) terminal load
Rp   Total peripheral resistance
Rpi   Zero-frequency impedance of head-end (i = h) and body-end (i = b) terminal load
T   Heart period
Ts   Left ventricular ejection period
W   Body weight
Zci   Characteristic impedance of head-end (i = h) and body-end (i = b) transmission tube
Zi(jnomega )   Head-end (i = h) and body-end (i = b) input impedance
ZLi(jnomega )   Head-end (i = h) and body-end (i = b) terminal load impedance
 Gamma Li(jnomega )   Head-end (i = h) and body-end (i = b) terminal load reflection coefficient
v   Descending aortic pulse wave velocity
 tau i   One-way wave transit time across the head-end (i = h) and body-end (i = b) transmission tube
 tau zi,tau pi   Time constants of head-end (i = h) and body-end (i = b) terminal load
 omega    Heart pulsation


    METHODS
TOP
ABSTRACT
INTRODUCTION
GLOSSARY
METHODS
RESULTS
DISCUSSION
REFERENCES

Experimental preparation. The investigation conforms to the Guide for the Care and Use of the Laboratory Animals (National Institutes of Health Publication No. 85-23, Revised 1985).

Six adult male ferrets were anesthetized with an intramuscular injection of ketamine and rompun (20 and 4 mg/kg, respectively). A tracheotomy was performed and positive-pressure ventilation instituted using a Bird Mark 10 respirator and a nonrebreathing inhalation anesthetic system. A surgical level of anesthesia was maintained using supplemental methoxyflurane, and the chest was opened with a midsternotomy.

In ferrets 1-5, flow probes (Transonic Systems; Ithaca, NY) were placed snugly around the ascending aorta and the descending thoracic aorta between the branching of the left subclavian artery and the first intercostal arteries. Ascending aortic pressure was measured with catheter-tipped pressure transducers (Millar; Houston, TX) inserted through the left ventricular (LV) apex and positioned beyond the aortic valve at the location of the ascending aorta flow probe. In ferret 5, an additional simultaneous measurement of pulsatile pressure was taken in proximity of trifurcation by way of a catheter-tipped transducer inserted in the left femoral artery. In ferret 5, the distance between sites of pressure measurements was taken at the end of the experiment after euthanasia (by administrating an overdose of barbiturate anesthesia) but while the aorta remained longitudinally tethered to the position it held in vivo. The distance between the proximal measurement site and the terminal aortic region at the level of renal arteries was also taken. In ferret 6, measurements of flow and pressure were taken from the high descending thoracic aorta 2 cm below the left subclavian artery.

Pressure and flow measurements were taken with the respirator turned off. Digital data were collected online using a Hewlett-Packard 1000 computing system. Ten contiguous beats of pressure and flow were aligned and normalized to mean period (i.e., mean number of samples per cycle), with the aid of a computerized procedure. The ensemble averages were then taken to reduce noise (8). The resulting mean cycles of terminal aortic pressure and flow were submitted to the analysis procedure.

In ferrets 1-5, our asymmetric T-tube model of the arterial system was fitted to the full cycle of ascending and descending aorta flow waveforms to estimate arterial parameters and to evaluate the impact of wave reflection in the morphology of ascending aortic and head-end and body-end directed pressure pulses. In ferret 6, the body-end arm of our T-tube model was fitted to descending aortic flow to estimate parameters of descending aortic circulation and to infer wave travel, and reflection in this portion of the circulation supplied by the ascending aorta.

Results from these ferrets were compared with the results obtained from fitting our asymmetric T-tube model of the arterial system to the ascending and descending aorta flow waveforms obtained from five dogs as described in detail in a previous report (5).

T-tube arterial model. Our T-tube model of systemic arterial circulation consists of two uniform, loss-free elastic transmission tubes connected in parallel and terminating in first-order, low-pass filter loads (Fig. 1). Each of the two arms of the T-tube model is characterized by the following parameters: the tube inertance (li) and tube compliance (ci) per unit length; the tube length (di); the tube characteristic impedance (Zci); the one-way wave transit time across the tube (tau i); the peripheral resistance (Ri); and the time constants at the numerator and denominator, respectively, tau zi and tau pi, of the terminal load impedance [ZLi(jnomega )]. This terminal load impedance was given the following expression (5, 6)
Z<SUB>Li</SUB>(jn&ohgr;)=R<SUB>pi</SUB> <FR><NU>1<IT>+jn&ohgr;</IT>&tgr;<SUB>z<IT>i</IT></SUB></NU><DE>1<IT>+jn&ohgr;</IT>&tgr;<SUB>p<IT>i</IT></SUB></DE></FR> (1)
where i equals h or b depending on whether the reference is to the head-end or body-end circulations, respectively.


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Fig. 1.   Modified asymmetric T-tube model of systemic arterial circulation consisting of two uniform and loss-free, elastic transmission-tubes (transmission lines in the electrical analogy) connected in parallel and terminating in first-order low-pass filter loads. Parameters Zci and tau i (i = h and b), represent tube characteristic impedance and one-way wave transit time across the head-end (subscript h) and the body-end (subscript b) transmission tubes. Tube lengths dh and db represent the distances to two effective reflection sites respectively located in the head-end and body-end portions of the arterial circulation supplied by the ascending aorta. ZLh and ZLb are terminal load impedances the electrical analog of which incorporates the peripheral resistance (Rpi, i = h and b) of the head-end and body-end portions of the arterial system, the overall static compliance (CLi) and the viscous losses (Rdi) of wall motion (10). AV-M and AV-T denote aortic valve to mandible distance and aortic valve to base of tail distance along the body's long axis, respectively.

The constraint
&tgr;<SUB>p<IT>i</IT></SUB><IT>=R<SUB>pi</SUB> </IT><FR><NU>&tgr;<SUB>z<IT>i</IT></SUB></NU><DE><IT>Z<SUB>ci</SUB></IT></DE></FR> (2)
was added to formalize the assumption that, with increasing frequency, ZLi(jnomega ) approximates the tube-characteristic impedance Zci = <RAD><RCD><IT>l<SUB>i</SUB></IT>/c<SUB><IT>i</IT></SUB></RCD></RAD>. A consequence of this constraint is that no reflections occur at higher frequencies.

Designating the reflection coefficient at the junction between tube and terminal load [Gamma Li(jnomega )]
&Ggr;<SUB>L<IT>i</IT></SUB>(<IT>jn&ohgr;</IT>)<IT>=</IT><FR><NU><IT>Z</IT><SUB>L<IT>i</IT></SUB>(<IT>jn&ohgr;</IT>)<IT>−Z<SUB>ci</SUB></IT></NU><DE><IT>Z</IT><SUB>L<IT>i</IT></SUB>(<IT>jn&ohgr;</IT>)<IT>+Z<SUB>ci</SUB></IT></DE></FR> (3)
the ascending aortic input impedance is determined by the parallel of the head-end (i = h) and the body-end (i = b) input impedances, Zi(jnomega ), which are of the form (23)
Z<SUB>i</SUB>(jn&ohgr;)=Z<SUB>ci</SUB> <FR><NU>1+&Ggr;<SUB>L<IT>i</IT></SUB>(<IT>jn&ohgr;</IT>)<IT>·</IT>exp(−<IT>j</IT>2<IT>n&ohgr;&tgr;<SUB>i</SUB></IT>)</NU><DE>1<IT>−&Ggr;</IT><SUB>L<IT>i</IT></SUB>(<IT>jn&ohgr;</IT>)<IT>·</IT>exp(−<IT>j</IT>2<IT>n&ohgr;&tgr;<SUB>i</SUB></IT>)</DE></FR> (4)
According to Eqs. 1-4, the model parameters to be estimated from input pressure and flow measurements (see next paragraph) are Zci, tau i, tau zi, and Rpi (i = h and b). The tau pi time constants are computed from tau zi, Zci, and Rpi making use of Eq. 2. Values of head-end and body-end tube compliance, cidi, and tube inertance, lidi, are given by the following equations
c<SUB>i</SUB>d<SUB>i</SUB>=&tgr;<SUB>i</SUB>/Z<SUB>ci</SUB> (5)

l<SUB>i</SUB>d<SUB>i</SUB>=&tgr;<SUB>i</SUB>Z<SUB>ci</SUB> (6)
Assuming a viscoelastic windkessel (3, 5, 10) as terminal load configuration (Fig. 1), terminal load compliances, CLi, and resistances, Rdi, with i = h and b, are obtained from resolving the following system of equations (3, 5, 10)
&tgr;<SUB>z<IT>i</IT></SUB><IT>=R<SUB>di</SUB>C</IT><SUB>L<IT>i</IT></SUB> (7)

&tgr;<SUB>p<IT>i</IT></SUB><IT>=</IT>(<IT>R<SUB>pi</SUB>+R<SUB>di</SUB></IT>)<IT>C</IT><SUB>L<IT>i</IT></SUB> (8)

Data fit and parameter estimation. In ferrets 1-5, the parameters tau i, Zci, and tau zi (i = h and b) were estimated by minimizing (with a modified Levenberg-Marquardt algorithm, Minpack, Argonne National Laboratory; Argonne, IL) a cost function defined as the sum of the squared differences between measured ascending and descending aortic flows and the corresponding flows predicted by the model using measured ascending aortic pressure as model input (5). Total peripheral resistance of systemic arterial circulation (Rp) was calculated from the ratio of the mean ascending aortic pressure (P) to mean ascending aortic flow (Q). Head-end and body-end Rpi resistances were computed as Rpi = RpQ/Qi, where Qi is head-end directed (i = h) or body-end directed (i = b) mean flow.

In the sixth ferret, the parameters, tau b, Zcb, and tau zb were estimated by minimizing the sum of squared differences between measured descending aortic flow and flow predicted by the body-end arm of our T-tube model using measured descending aortic pressure as model input (6). Total peripheral resistance of descending aortic circulation (Rpb) was calculated from the ratio of mean descending aortic pressure to mean descending aortic flow, and tau pb was calculated from tau zb, Zcb, and Rpb making use of Eq. 2.

An estimate of the pulse wave velocity (v) along the body-end transmission path was determined in ferret 5 by dividing the distance between proximal and distal pressure transducers and the foot-to-foot time delay between the measured pressure waves. The product between estimated tau b and v yielded a db estimate of tube length.

T-tube model parameter estimates in the dog were taken from our previous report (5). Approximate asymptotic standard errors of parameter estimates were calculated from the residual sum of squares and the parameter estimation variance-covariance matrix (2).


    RESULTS
TOP
ABSTRACT
INTRODUCTION
GLOSSARY
METHODS
RESULTS
DISCUSSION
REFERENCES

In Table 1 are reported the averages (±SE) of body weight (W), heart rate (HR), left ventricular ejection period (Ts), aortic valve to mandible distance (AV-M), aortic valve to base of tail distance (AV-T), P, Q, the ratio of descending to ascending aortic mean flow (Qb/Q), and Rp from ferrets 1-5 and from the five dogs used in our previously reported study (5).

                              
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Table 1.   Measured data

Comparison of body morphometry yielded a ratio between AV-M and AV-T, which was 0.71 ± 0.01 in the ferret and 0.54 ± 0.02 in the dog.

In ferret 6 (1.6 kg), the analysis was focused on the descending aortic circulation as seen from a measurement site located 2 cm below the left subclavian artery. Measured mean pressure and flow were 55 mmHg and 1.0 cm3/s, respectively, and heart rate was 2.7 Hz.

Data fit and parameter estimates. Features of the ascending aortic pressure wave shape varied among ferrets, and two extremes are displayed in Fig. 2. Three ferrets possessed wave-form features similar to that shown in Fig. 2A, i.e., the systolic peak of the ascending aortic pressure occurred during early systole, and a prominent diastolic wave was seen during early diastole. In two ferrets, the systolic peak occurred during late systole just before the incisura giving the rather different looking waveform shown in Fig. 2B.


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Fig. 2.   Extremes of measured pressure in the ascending aorta of ferrets under basal states. A: systolic peak of the ascending aortic pressure occurs during early systole and a prominent diastolic wave is seen during early diastole (ferret 3). B: systolic peak occurs during late systole, just before the incisura, and diastolic decay is almost exponential (ferret 5).

Measured flow wave shapes and model-generated flow waveforms are displayed in Fig. 3, A and B. Clearly, the difference between ascending and descending aortic flow waveforms as well as all details of the waveforms are reproduced with a high degree of fidelity by our T-tube model. These good reproductions in the ferret with our T-tube model are similar to the good reproductions obtained earlier in our previous works using the data from the dog under normal conditions (5). Average estimated (Zci, tau i, tau zi, i = h and b) and calculated (all the others) parameters of T-tube model in ferrets 1-5 are given in Table 2. Parameter estimation errors, as a percentage of related parameter estimates, averaged 5.4 ± 0.5% for Zch, 1.9 ± 0.2% for Zcb, 13.4 ± 4% for tau h, 1.5 ± 0.2% for tau b, 8.7 ± 1.3% for tau zh, and 2.5 ± 0.1% for tau zb. Estimated and calculated T-tube model parameters obtained in our earlier study in five dogs are also given in Table 2. Note the consistent difference between model-estimated arterial parameters of the ferret and the dog in accord with the difference in the size of these two animals. This is true for both the tube parameters (shorter transmission times, larger tube inertances, smaller tube compliances, and larger tube characteristic impedances in the ferret) and the load parameters (lower load compliances and higher load peripheral resistances in the ferret).


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Fig. 3.   Fits between experimental (solid line) and model predicted (dashed line) ascending aortic flows and between experimental (dotted line) and model predicted (dash-dot line) descending aortic flows. Data are from ferret 3 (A) and ferret 5 (B).


                              
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Table 2.   Estimated and calculated parameters of our T-tube model

Aortic impedance patterns. Aortic input impedance frequency spectra were calculated from Fourier analysis of ascending aortic pressure and flow waves. A representative example of this calculation in one ferret is given for 10 harmonics represented by the solid circles in Fig. 4. Also in Fig. 4 are the input impedance patterns predicted by the model for the ascending aorta and for the head-end and body-end transmission paths of the T-tube. As expected from the close fit obtained by the model to the flow waveforms (Fig. 3), the model-generated impedance spectra closely approximated the impedance magnitude and phase obtained from the Fourier analysis of pressure and flow. In both experimentally calculated and model-generated impedance, only one broad, indistinct minimum can be identified in the modulus of ascending aortic impedance in the frequency range from 0 to 10 Hz. From the T-tube model prediction, it is seen that this minimum in the overall system impedance modulus is correlated to the first minimum in the impedance modulus of both head-end and body-end transmission paths. Note especially in this example from the ferret that, although the first minimum in impedance modulus occurs at approximately the same frequency for the head-end and body-end circulations, the zero crossings of the phase spectra for these two paths occur at quite different frequencies. The ability of the body-end arm of our T-tube model to approximate the experimental input impedance data of descending aortic circulation was tested in ferret 6 where pressure and flow data were taken from the high descending aorta. The model-generated impedance spectrum closely approximated impedance magnitude and phase obtained from Fourier analysis (Fig. 5). This result improves the reliability of our T-tube model predictions of head-end and body-end impedance patterns. The average features of experimental and model-predicted impedance patterns in the ferret are evident in Fig. 6, showing the impedance calculation from the Fourier analysis and from the T-tube predictions using average parameters of Table 2.


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Fig. 4.   Modulus and phase angle of ascending aortic input impedance in one ferret, calculated from Fourier analysis of ascending aortic pressure and flow waves (solid circles), are compared with the input impedance patterns predicted by our T-tube model for the ascending aorta (solid line) and for the head-end (dashed line) and body-end (dash-dot line) portions of the arterial system. Dotted horizontal line in the phase graph is zero line.



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Fig. 5.   Modulus and phase angle of the input impedance of descending aortic circulation in ferret 6, calculated from Fourier analysis of descending aortic pressure and flow waves (solid circles), are compared with the impedance patterns predicted by the body-end arm of our T-tube model (dash-dot line). Dotted horizontal line in the phase graph is zero line.



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Fig. 6.   Average (±SE) ascending aortic impedance data computed over ferrets 1 to 5 (solid circles with SE bars) are compared with predictions for the ascending aorta (solid line) and for the head-end (dashed line) and body-end (dash-dot line) portions of the arterial system as provided by our modified T-tube model filled with average parameters of Table 2. Dotted horizontal line in the phase graph is zero line.

The average impedance calculation from Fourier analysis and prediction from the T-tube filled with average parameters of Table 2 for the dog are displayed in Fig. 7. These impedance patterns are similar to those reported by O'Rourke and Taylor (21) for moderately large (23-25 kg) dogs. In contrast to the ferret, two distinct minima are observed in both the Fourier calculated modulus of ascending aortic impedance and in the model prediction in the range from 0 to 10 Hz. The first minimum corresponds to the first minimum of body-end impedance modulus, whereas the second minimum corresponds to the first minimum of head-end impedance modulus. The phase angle of the overall impedance shows a low frequency distortion that causes a zero crossing in the proximity of the zero crossing of the head-end input impedance. The contribution of head-end and body-end circulations to the overall impedance in the dog is different from that in the ferret.


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Fig. 7.   Average (±SE) ascending aortic impedance data computed over five dogs (solid circles with SE bars) are compared with predictions for the ascending aorta (solid line) and for the head-end (dashed line) and body-end (dash-dot line) portions of the arterial system as provided by our modified T-tube model filled with average parameters of Table 2. Dotted horizontal line in the phase graph is zero line.

Differences in the head-end and the body-end transmission path lengths in the two differently-sized species is the cause of the differences observed in the aortic impedance patterns. If we assume the arterial pulse wave velocity to be almost identical in the two species (18, 28), the ratio tau h/tau b between the one-way transmission times estimated in the ferret (0.51 ± 0.05) and in the dog (0.39 ± 0.04) yields the information on the relative distances to the effective reflection sites (effective lengths) in the two species.

Measurements of the pulse-wave velocity made in our previous study in dogs yielded a T-tube model-based estimation of ~30.3 ± 1.4 cm for the length db of the body-end transmission path (effective length of the descending aortic circulation), the average estimate of tau b being 68.5 ± 4.6 ms (Table 2). From the product of db by the ratio of tau h/tau b, a head-end effective length of 11.6 ± 1.2 cm is inferred. Comparison of the average estimates of tau h and tau b in the dog with those estimated in the ferret yields in the latter species an estimate of 13 cm for the body-end transmission path and an estimate of 6.5 cm for the head-end transmission path.

To make an independent test of this inference, we made an estimate of head-end and body-end effective lengths in our ferret 5, making use of the measurement of pressure taken from the femoral artery 24 cm below the location of the ascending aortic pressure measurement and in proximity to trifurcation. From dividing this distance between transducers by the pressure foot-to-foot time delay, we estimated a pulse-wave velocity of 480 cm/s. The product of this velocity times the estimate of tau b (0.028 s) yielded a body-end effective length of 13.5 cm. This approximated the measured length of ~15 cm between the proximal pressure measurement site and the renal artery branching site. Assuming the pulse-wave velocity of 480 cm/s to also be applicable to the head-end circulation, with the estimate of tau h being 0.013 s, we obtained a head-end effective length of 6.3 cm.

Forward and reflected waves. With confidence that our T-tube model accurately represented the overall pressure-flow relationships in the aorta, we proceeded to use the model to evaluate forward and backward propagated components of the arterial pressure wave. This evaluation for the two kinds of aortic pressure wave shapes observed in these ferrets (Fig. 2) is displayed in Figs. 8 and 9. Note the timing of the foot of the reflected wave (solid line) in each panel relative to the foot of the composite (dotted line) and forward (dashed line) waves. Also note the relative role of the amplitude of the reflected waves from the head-end and body-end circulations as contributors to the reflected wave and the composite wave in the ascending aorta; this body-end reflection makes a major contribution to the composite wave at the time of the incisura and immediately after. Thus the presence of a prominent diastolic oscillation in the ascending aortic pressure of Fig. 2A appears correlated to the peak of the body-end reflected wave (Fig. 8). On the other hand, the absence of a prominent diastolic oscillation in the ascending aortic pressure of Fig. 2B (and its almost exponential decay) is explained by the fact that the peak of body-end reflected wave boosts the late systolic pressure and the incisura (Fig. 9).


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Fig. 8.   Measured ascending aortic pressure minus mean pressure in ferret 3 (dotted line) is compared with forward (dashed line) and backward (solid line) pressure wave components predicted by or T-tube model in the ascending aorta just upstream of the junction with head-end and body-end directed transmission paths (A) and at the input (just downstream the junction) of the body-end (B) and the head-end (C) directed transmission paths.



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Fig. 9.   Measured ascending aortic pressure minus mean pressure in ferret 5 (dotted line) is compared with forward (dashed line) and backward (solid line) pressure wave components predicted by our T-tube model in the ascending aorta just upstream of the junction with head-end and body-end directed transmission paths (A), and at the input (just downstream the junction) of the body-end (B) and the head-end (C) directed transmission paths.

Timing and amplitude of forward, reflected, and composite waves at the distal end of the tubes (i.e., the effective reflection sites) are shown in Fig. 10 (to be correlated with Fig. 2A and Fig. 8) and Fig. 11 (to be correlated with Fig. 2B and Fig. 9). Note the apparent change in the shape of the composite wave at the termination of the body-end tube due to transmission and reflection effects. Note also, that, in contrast to proximal locations: 1) the foot of the forward and backward waves occurs at approximately the same point in time at the reflection site, and 2) the peak of the reflected wave occurs earlier during systole (Figs. 10 and 11) with the result that the reflected wave contributes to an increase in the pressure pulse over that at the proximal location (Figs. 8 and 9). Our measurement of arterial pressure in the femoral artery just beyond the aortic trifurcation has been added to Fig. 11A. This measured pressure (dash-dot line) is to be compared with the model predicted, composite pressure wave (dot) at the termination of the body-end tube. It is seen that factors responsible for the transformation in wave shape that distinguishes pressure waves measured in ascending aorta and femoral artery are well represented at the termination of the body-end transmission tube.


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Fig. 10.   Pressure pulse (dotted line) predicted by our T-tube model at the termination of the body-end (A) and head-end (B) transmission paths in ferret 3 is displayed with forward (dashed line) and backward (solid line) pressure wave components.



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Fig. 11.   Pressure pulse (dotted line) predicted by our T-tube model at the distal end of the body-end (A) and head-end (B) transmission paths in ferret 5 is displayed with forward (dashed line) and backward (solid line) pressure wave components. Femoral artery pressure pulse (dash-dot line) measured in proximity of trifurcation (about 24 cm below the ascending aortic pressure measurement site) is displayed in A.

The wave reflection and transmission phenomena observed in the ferret may be compared with the same phenomena observed in the dog (Figs. 12 and 13). In general, most phenomena are represented equally in the dog and the ferret with the following important exceptions: 1) the reflected wave from the body-end circulation is delayed to a greater amount in the dog due to the significantly longer transmission path and, as a consequence, the peak of this reflected wave contributes more to proximal aortic pressure during diastole, and 2) the reflected wave from the head-end circulation is of relative greater magnitude and its peak contributes more substantially to ascending aortic pressure during systole.


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Fig. 12.   Measured ascending aortic pressure minus mean pressure in one dog (dotted line) is displayed with forward (dashed line) and backward (solid line) pressure wave components predicted by our T-tube model in the ascending aorta just upstream of the junction with head-end and body-end directed transmission paths (A) and at the input (just downstream the junction) of the body-end (B) and the head-end (C) directed transmission paths.



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Fig. 13.   Pressure pulse (dotted line) predicted by our T-tube model at the termination of the body-end (A) and head-end (B) transmission paths in the dog is displayed with forward (dashed line) and backward (solid line) pressure wave components. Pressure pulse measured in the terminal aorta (dash dot line), just below the renal arteries origin, is displayed in A.


    DISCUSSION
TOP
ABSTRACT
INTRODUCTION
GLOSSARY
METHODS
RESULTS
DISCUSSION
REFERENCES

It is generally agreed that differences among animals in the contour of the aortic pressure wave must be due to differences among animals in vascular properties and so must be explicable in terms of modulus and phase of the vascular input impedance (18, 22). This is the reason why Fourier analysis has been extensively applied to determine impedance patterns in a wide variety of mammals and in various physiological conditions. Inferring physiological meaning from vascular impedance in terms of wave reflection, however, requires the formulation of distributed, (or partially distributed) parameter models that incorporate hypotheses to be experimentally tested in a trial-and-error approach (3, 15-18, 24-29). According to the literature, two important questions need to be addressed in the process of a reliable interpretation of arterial wave reflection as seen from the heart. The first question is whether the reflections arise from one or two functionally discrete reflection sites. The second question is whether the reflections are seen to arise from 1) a purely resistive load constituted by the peripheral resistance vessels, or 2) a terminal load of complex nature incorporating the reactive and the resistive properties of the lumped, downstream vascular beds.

It appears from the literature that the most acceptable answer to the first question is that impedance patterns and wave reflections are due to two functionally discrete, effective reflecting sites, although it has been shown that in some circumstances these two sites may appear as one to the heart (1, 3-6, 9, 11, 15, 16-21, 25). The second question finds an answer in that, just as the random branching of the arterial system together with arterial compliance serves to uncouple the heart from the peripheral resistances (26), these same factors also act to uncouple the terminal end of the T-tube transmission paths from the most distant resistant vessels. Such uncoupling gives the terminal load of the transmission paths a complex, low-pass filter appearance. Indeed, others and we (3-6, 9, 11, 25) have shown in previous works that replacing the terminal resistance loads of the original T-tube model with the complex and frequency-dependent loads described by Eq. 1 yields a decisive improvement that allows accurate description of pressure-flow data and identification of parameters of physiological interest.

The present study was designed to test whether the model was able to discriminate between differences in body shape. These differences in body size with concomitant differences in arterial system size appear reflected clearly by the differences in model-estimated arterial parameters given in Table 2. The ferret heart is located more centrally in the body than is the heart of the dog. For instance, when we measured the ratio of (AV-M)/(AV-T), we found 0.71 ± 0.01 in the ferret, whereas it was 0.54 ± 0.02 in the dog. When we computed the ratio of tau h/tau b as an equivalent parameter of T-tube arterial morphometry, we found values of ~0.51 and 0.39 for the ferret and the dog, respectively. Thus model-predicted, head-end and body-end transmission paths supplied by the ascending aorta are consistent with externally measured long-axis body morphometry parameters with respect to the heart location.

According to the results of our present and previous studies (3, 5, 6), the effective lengths of the head-end (dh) and body-end (db) transmission paths are ~12 and 30 cm, respectively, in the dog and 6.5 and 13 cm, respectively, in the ferret. Comparison of db estimates with measurements of the distance between the ascending aorta and the abdominal aortic site where major branching occurs in dogs located the body-end effective reflection site at level of the renal arteries origin. Measurements of the distance between the ascending aorta and the renal arteries branching site in the ferret (14-15 cm) was close enough to the db estimate of ~13 cm to conclude that also in the ferret, under normal conditions, the body-end effective reflection site is seen at the level of the abdominal aortic region where major branching occurs. This conclusion also fits with the experimental finding of a major reflection site at level of renal arteries origin in humans reported by Latham et al. (14).

In contrast to the descending aortic circulation, with the presence of the aorta as the dominant vessel, several equivalent-sized vessels directed to the forelimbs and the head characterize the head-end portion of the circulation so that no discrete anatomic landmarks can be identified at present among this group of vessels, which can be associated with the effective lengths dh = 12 cm in the dog and dh = 6.5 cm in the ferret.

Average estimates for dh and db for the dog, taken from the literature and reported by Nichols and O'Rourke (see Ref. 18, their Fig. 11.27) are 20 and 38 cm, respectively. These distances, calculated by using the quarter wavelength formula, appear significantly overestimated with respect to those obtained from our modified T-tube model. The reason of this overestimation and the shortcomings of the quarter wavelengths formula and of the model from which it is derived were extensively discussed in our previous works (3, 5-7).

One of the major goals of arterial models is to represent compliance with respect to its role in arterial function. Most attempts to quantify arterial compliance have been based on the windkessel model (3, 10, 13, 27, 30). This approach assumes that the windkessel compliance represents the sum of all compliances throughout the arterial system, so that evaluation of the distributed and heterogeneous changes that may occur in compliance is not possible. In contrast to these models, our modified T-tube model allows discrimination between proximal and distal compliant properties of the arterial system. This aspect was investigated in previous studies in the dog (5, 25). Here the question arises as to how the estimates of proximal and distal compliance in the ferret correlate with those from the dog to understand the impact of the difference in body size.

Total T-tube model compliance (Ct) averaged 15.0 ± 1.4 10-6 g-1 · cm4 · s2 in our five ferrets and 415 ± 43 10-6 g-1 · cm4 · s2 in our five dogs (Table 2). To test the consistency between these compliance estimates with respect to the animal size, we assumed compliance equal to C = CoW1.23, with Co being a constant and W the body weight, in accordance with the finding by Westerhof and Elzinga (28) from a comparative analysis of normalized input impedance in mammals of different size. With this approach, the ratio between total compliance in the dog and total compliance in the ferret equals the ratio between respective body weights to the power 1.23. Application of this ratio to our preparations averaged 32.8 ± 3.7 and resulted consistent with the ratio of 28.5 ± 3.5 between T-tube model-based estimates of total compliance from our dogs and ferrets.

A further test of the reliability of T-tube model estimates of compliance was to compare head-end and body-end compliance estimates in the ferret and in the dog as they relate to long-axis body morphometry. The ratio Ch/Cb between total compliance of the head-end circulation (Ch = chdh + CLh) and total compliance of the body-end circulation (Cb = cbdb + CLb) was 0.70 ± 0.10 in the ferret and 0.51 ± 0.06 in the dog. Thus the model-predicted Ch/Cb ratio is consistent with externally measured long-axis body morphometry ratio of AV-M/AV-T discussed above.

Differences in body morphometry in the ferret and in the dog yield differences in the features of ascending aortic impedance patterns that are clearly visible in the modulus (Figs. 6 and 7). In the ferret, only one broad minimum is seen in the modulus of ascending aortic impedance in the frequency range from 0 to 10 Hz, whereas, in this frequency range, two minima are distinguishable in the ascending aortic impedance modulus of the dog. Coincidentally, impedance data reported for humans show a broad minimum in the low-frequency range, rather than two distinct minima as seen in large dogs (18). Thus the ascending aortic impedance modulus in the ferret resembles the ascending aortic impedance of adult humans and differs from the corresponding impedance pattern in the dog in much the same manner as does the human. The similarity of ascending aortic impedance patterns in humans and ferrets is likely due to the fact that these two species have a heart that is more centrally located along the long axis of the body than is the case with the dog. Indeed, using estimates from the quarter wavelength formula, Nichols and O'Rourke (18) reported head-end and body-end effective lengths to reflection sites in the human as 29 and 41 cm, respectively, for a ratio of 0.71, and in the dog as 20 and 38 cm, respectively, for a ratio of 0.53. These numbers indicate that the heart in humans is more centrally located than in dogs just as we found in the present study that in ferrets the heart is more centrally located than in dogs. It is likely that in humans the low-frequency minimum in the ascending aortic impedance modulus is a result of nearly coincident first minima in the input impedances of the head-end and body-end sections of modified T-tube model as shown for the ferret in Figs. 4 and 6.

Our modified T-tube model allows interpretation of the morphology of measured aortic pulse waves, as seen at the heart, in terms of timing and shape of reflected wave components arising from two functionally discrete reflecting sites, respectively, located in the body-end and head-end portions of the circulation supplied by the ascending aorta. According to the model, it may happen that the body-end reflected wave peaks during early diastole and results in a prominent diastolic oscillation in measured ascending aortic pressure as seen in Figs. 8 and 12. It is also possible that the body-end reflected wave peaks at the level of incisura and boosts early diastolic pressure in such a way that its decay appears smooth and almost exponential (Fig. 9). The relatively longer body-end transmission path in the dog determines a more evident contribution of the body-end reflected wave in diastole (Fig. 12). In contrast to body-end reflection, the head-end reflected wave travels across a relatively short pathway so that it gets to the ascending aorta earlier than the body-end reflected wave, thus affecting systolic more than diastolic pressure (Figs. 8, 9, and 12). Our comparative analysis, however, showed a lower impact of head-end wave reflection on ascending aortic pressure in the ferret than in the dog (compare Figs. 8 and 9 with Fig. 12). This suggests a better matching between terminal load and transmission path in the ferret. In the ascending aorta, the head-end and body-end reflected waves compose such that the positive contribution of the head-end reflected wave to systolic pressure is attenuated by the negative contribution of the body-end reflected wave. The result is that systolic pressure is not elevated to the extent that would occur if the timing of the arrival of these reflected waves was more coincident (Figs. 8, 9 and 12). Furthermore, the positive peak of the reflected wave from the body-end tube boosts aortic pressure during diastole. Diastolic pressure boost is desirable because it aids coronary perfusion, whereas the concomitant reduction of the pulse pressure helps the pumping function of the heart (18-20).

This favorable correspondence between cardiac performance and timing of body-end reflected wave is preserved in different mammals, irrespective of body size, because the duration of LV ejection changes in an appropriate fashion with body size and related timing of wave reflection as seen at the heart. The relationship between average body-end transmission time (tau b), and average LV ejection period (Ts) in our ferrets and dogs, having similar mean aortic pressure level (Table 1), is displayed in Fig. 14.


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Fig. 14.   Plot of average (±SE) body-end transmission time (tau b), over five ferrets and five dogs vs. average (±SE) duration (Ts) of LV ejection.

Variability of LV ejection period among individual animals of a species (SE bars in Fig. 14) may explain differences in the morphology of measured aortic pressure waves as seen in Fig. 2. The pressure wave displayed in Fig. 2A is characterized by an ejection period that is almost 30 ms shorter than that characterizing the pressure wave of Fig. 2B. As a consequence, in the case of Fig. 2A the body-end reflected wave returns by the end of systole and its peak, occurring beyond the incisura, contributes to diastolic pressure bump (Fig. 8). In the case of Fig. 2B, the peak of the body-end reflected wave is reached in correspondence of the incisura and causes a late augmented aortic pressure peak in systole (Fig. 9).

In conclusion, whereas our T-tube arterial model (Fig. 1) is a reduced representation of aortic circulation, it captures essential features of hydraulic input impedance. This enables our model to be used to describe physiologically important features of the arterial system, to predict pressure and flow events at the aortic entrance and at various locations along the transmission path, and to interpret the composition of aortic pressure and flow waves in terms of forward and reflected components. Furthermore, we demonstrate here that the asymmetric T-tube model is sufficiently versatile and general in its representation of mammalian arterial systems that it is able to discriminate between substantial differences in body size and location of the heart along the body's axis of mammals of different size and shape.


    ACKNOWLEDGEMENTS

This work was supported in part by the Italian Ministero dell'Università e della Ricerca Scientifica e Tecnologica.


    FOOTNOTES

Address for reprint requests and other correspondence: R. Burattini, Dept. of Electronics and Automatics, Univ. of Ancona, Via Brecce Bianche, 60131 Ancona, Italy (E-mail: r.burattini{at}popcsi.unian.it).

The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

Received 11 May 2001; accepted in final form 17 September 2001.


    REFERENCES
TOP
ABSTRACT
INTRODUCTION
GLOSSARY
METHODS
RESULTS
DISCUSSION
REFERENCES

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