Cardiovascular Research Laboratory, Department of Biomedical
Engineering, Rutgers, The State University of New Jersey,
Piscataway, New Jersey 08855-0909
The role that
the pattern of vessel wall growth plays in determining pressure-lumen
area (P-A) and pressure-compliance curves was examined. A P-A vessel
model was developed that encompasses the complete range of pressure,
including negative values, and accounts for size given the fixed
length, nonlinear elastic wall properties, constant wall area, and
collapse. Data were obtained from excised canine carotid and femoral
arteries, jugular veins, and elastic tubing. The mean error of estimate
was 8 mmHg for all vessels studied and 2 mmHg for blood vessels. The
P-A model was employed to examine two patterns of arterial wall
thickening, outward growth and remodeling (constant wall area), under
the assumption of constant wall properties. The model predicted that only outward wall growth resets compliance such that it increases at a
given arterial pressure, explaining previously contradictory data. In
addition, it was found that outward wall growth increases the lumen
area between normal and high pressures. Remodeling resulted in lumen
narrowing and a decrease in compliance for positive pressures.
vascular pressure-area model; arterial hypertrophy; arterial
remodeling; hypertension
 |
INTRODUCTION |
ARTERIAL WALL HYPERTROPHY is a process associated with
systemic hypertension. The pressure-area (P-A) curve of the vessel reflects this alteration and is important in determining the
hemodynamic response. In early hypertension, vascular wall thickening
appears to be an adaptive mechanism that responds to increases in the vessel wall tension (21). A recent study (17) examined the growth
patterns of arteries during hypertension. For example, it has been
found that the vessel wall grows such that the wall thickness increases
and the lumen area narrows. The classic observation is that the wall
thickness-to-diameter ratio is increased, perhaps in accordance with
Laplace's law such that wall stress is maintained (12). In this case,
the growth may occur either through hypertrophy, where the cells
increase their size, or through hyperplasia by cell division and
through deposits to the connective tissue matrix (28). Alternatively,
vascular remodeling may occur where it is defined that the wall
cross-sectional area remains constant while wall thickening takes place
(17). To have complete remodeling, the vessel diameter must decrease
with increases in wall thickness. In this situation, there is no growth
but rearrangement of wall material. Thus a constant wall
cross-sectional area defines whether wall thickening is due to
remodeling. Studies have shown that small arteries remodel during
hypertension. If growth is present, it is typically due to hyperplasia
(17).
Because wall thickness increases with hypertension, it is generally
believed that vascular compliance and lumen area decrease. Recent data
on large arteries apparently contradict this notion (1, 16), where it
has been found that both lumen area and compliance increase in
hypertensive subjects. It is difficult to explain this discrepancy
because the wall properties of hypertensive vessels tend to increase in
stiffness and smooth muscle activation (5), leading to the opposite
conclusion. It is hypothesized here that the pattern of wall thickening
may explain this observation and, in general, that vessel structure has
a major influence on the distension properties of arteries.
In this paper, the effect of vascular growth pattern on the
relationship between pressure, lumen area, and compliance is examined by means of a mathematical model. The model is developed in this paper
and is useful in providing the P-A curve of vessels for application to
hemodynamic studies. The model is also validated with data obtained
from excised artery, vein, and elastic vessel experiments. The data are
used to establish the normal values of vessel wall properties and
geometry that are expressed as the parameters of the model. In this
manner, the arterial function can be analyzed with respect to its
structure (23). Then, with these parameters as the control values, two
patterns of wall thickening are studied: remodeling and outward wall
thickening. This is accomplished by varying only the size parameters of
the model to reflect these patterns of growth and computing the P-A
curve of the hypertrophied vessel while wall properties are maintained.
Glossary
| a |
Constant of proportionality termed elastance scale modulus
|
| a' |
Constant of proportionality termed wall elastic scale modulus
|
| a1 |
Linear elastance constant
|
| a2 |
Quadratic elastance constant
|
| a'1 |
Linear wall elasticity constant
|
| a'2 |
Quadratic wall elasticity constant
|
| b |
Exponential rate constant termed elastance rate modulus
|
| b' |
Exponential rate constant termed wall elastic rate modulus
|
| c |
Hyperbolic rate constant for stretch equation
|
| h |
Vessel wall thickness
|
| hb |
Vessel wall thickness at MCP
|
| hbc |
Control value of vessel wall thickness for normal nonhypertrophied
artery at MCP
|
| n |
Constant defining degree of curvature of pressure-area hyperbola
|
| r |
Vessel lumen radius
|
| rb |
Vessel lumen radius at MCP
|
| rbc |
Control value of vessel lumen radius for normal nonhypertrophied artery
at MCP
|
| rm |
Midwall vessel lumen radius
|
| rmb |
Midwall vessel lumen radius at MCP
|
| r0 |
Vessel lumen radius when wall tangential stress is zero; i.e., when
Pt = 0
|
| A |
Lumen cross-sectional area
|
| Ab |
Lumen cross-sectional area at MCP
|
| A0 |
Lumen cross-sectional area when Pt = 0
|
| Aw |
Vessel wall cross-sectional area
|
| Ca |
Area compliance of vessel segment
|
| CV |
Volume compliance of vessel segment
|
| Cmax |
Maximum compliance
|
| E |
Wall elastic modulus (elasticity)
|
| Ec |
Area elastance of vessel segment
|
| EI |
Constant of proportionality termed flexural rigidity
|
 |
Flexural rigidity normalized by lumen radius cubed
|
| L |
Vessel segment length
|
| MCP |
Maximum compliance point
|
| P-A |
Transmural pressure-area relationship
|
| Pb |
Buckling pressure (transmural pressure at MCP)
|
| Pc |
Pressure due to vessel bending (collapse)
|
| Ps |
Pressure due to vessel mean wall stress
|
| Pt |
Transmural pressure; pressure across the vessel wall
|
| V |
Lumen volume of vessel segment
|
 |
Ratio defined as
hbc/rbc
|
 |
Vessel wall tangential extension ratio
|
m |
Vessel wall tangential extension ratio at midwall
|
s |
Wall extension ratio for stretch only
|
sm |
Wall extension ratio at midwall for stretch only
|
 |
Mean vessel wall tangential stress
|
 |
BACKGROUND |
The volume compliance of a vessel is one of the three primary physical
parameters of a vascular dynamic system, the others being flow
inertance and fluid resistance. Compliance is defined as the derivative
of volume (or cross-sectional area) of a vessel with respect to the
fluid pressure across the vessel wall (i.e., transmural pressure), or
mathematically
|
(1)
|
This equation assumes a uniform pressure and area with length, such
that V = AL. A typical P-A curve for a
blood vessel is nonlinear (Fig.
1A).
As a result of this, compliance must be evaluated as a function of
transmural pressure or lumen area (Fig.
1B) (19). Thus it is appropriate to
employ a constant arterial compliance only when the change in pressure
is small. Constant compliance is often assumed in models of the
systemic arterial system (30). The relief of this approximation has
been shown to be useful when transmural pressure varies significantly,
such as during the generation of Korotkoff sounds (6). The P-A curve
approximates a sigmoidal relationship involving two regions of physical
behavior. The upper positive-pressure region is due to vessel wall
stretch while the vessel lumen is circular. This behavior is the result
of nonlinear wall elasticity that can be modeled by an exponential
stress-strain relationship (13, 15) of the form
|
(2)
|
|
(3)
|
is defined by the fractional change in lumen radius from its initial
value. Wall stress due to distension is assumed to be zero when
r0 = r. Wall stress becomes compressive
below this radius and transmural pressure is negative.

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Fig. 1.
A: pressure-area (P-A) relationship
for a canine carotid artery from physical data and model prediction
(lumped model; Eq. 9). Curve takes
on a sigmoidal shape, indicating 2 different regions of mechanical
behavior. B: corresponding
compliance-pressure curve from data and model results in
A computed with Eq. 1.
|
|
Low to negative transmural pressures applied uniformly over a uniform
segment of vessel eventually result in collapse or distortion of the
originally circular profile (13, 20, 22). This occurs due to buckling
of the vessel wall. Negative transmural pressure is then supported by
vessel wall bending. Thus the P-A relationship follows that of a
pressure-loaded elastic cantilever beam and yields a one-branch
hyperbolic relationship, as follows (13, 25)
|
(4)
|
The P-A relationship described by Eq. 4 is a result of the change in the cross-sectional
shape of the vessel lumen, not to wall stretch as in
Eqs. 2 and 3. The details of this shape have been
analyzed previously by others (11, 18, 20). Generally, though, it is
not necessary to know the shape for most hemodynamic studies except
when the lumen area approaches zero.
Previous mathematical representations of the steady-state arterial P-A
relationship involved assumptions that are not justifiable (8). Several
of these assumptions are that 1) the
pressure range is positive only, 2)
the volume is zero at zero pressure, 3) the compliance is zero at zero
pressure, 4) the shape of the P-A
curve is a simple exponential (not sigmoidal) or is linear (constant
compliance), 5) the model parameters
are often not unique, and 6) the model parameters
cannot be related to measurable vessel mechanics and wall properties.
Furthermore, previous models were designed to serve a limited range of
P-A data, thus not permitting extrapolation. These models were also not
versatile enough in representing both vascular data from different
vessel types and elastic tube data. Last, the models were often
empirical formulas that could not be related directly to vessel
mechanics. For example, Sipkema and Westerhof (26) assumed a
trigonometric tangent function. This function, although a good fit in
the collapse region, is in error for high pressure extremes, predicting
zero-compliance values. Another example is a finite-order polynomial
such as that used by Beyar et al. (3). Applying a polynomial to fit a
transcendental curve, such as the P-A curve, will cause extrapolation
error. The present model overcomes all of the above drawbacks without
making any of the previously stated assumptions. To attest to the
versatility of the model, it will be applied to three types of vessel:
artery, vein, and latex elastic tubing.
 |
BLOOD VESSEL P-A MODEL |
Basic Derivation (Lumped Model)
The vessel model was derived by formulating a unique mathematical
description of nonlinear vessel distension and collapse (10).
Specifically, Eqs. 2 and 3 were transformed from a
stress-to-extension ratio relationship into a corresponding P-A
relationship. This was accomplished by converting
into pressure through a modified Laplace
equation for a thin-walled cylinder (13)
|
(5)
|
The
radial extension ratio was converted to area strain by substituting
r = (A/
)1/2
into Eq. 3.
To combine the equations for vessel distension and collapse regions,
the extension ratio was redefined in terms of
A/Ab
instead of
A/A0.
It was chosen to reference strain to the onset of buckling because this
point is easily identified on the P-A curve. Also, buckling can be
easily located on a graph of compliance-area or compliance-pressure as
the MCP by definition. Thus the lumen area at which buckling occurs
arises at a transmural pressure of
Pb. Although the
Pb can be predicted theoretically
from the buckling criteria of von Mises (27), it was chosen instead to
locate Pb directly from vessel
data. Thus the distension equation was solved for the
Pb by substituting
A = Ab to yield
|
(6)
|
Because
the buckling area is normally less than the zero-pressure area,
Eq. 6 reveals that the
Pb is negative in value. The distension pressure equation can then be modified by substituting Ab for A0 and adding
Pb as follows
|
(7a)
|
and
|
(7b)
|
Thus
for Eq. 7 to be true requires that
Ab be substituted
for A0. The
inequality denotes the transition between buckling and wall stretch.
Once buckling occurs, the perimeter of the vessel remains unchanged.
Equation 7a can be modified to
incorporate this concept by limiting the vessel perimeter to one
corresponding with that of Ab for values of
A < Ab. This can be accomplished by
introducing a hyperbolic relationship into Eq. 7a as follows
|
(8a)
|
where
the extension ratio is
|
(8b)
|
Normally,
the value of c is not critical but was
chosen as c > 20 such that
s is forced to zero quickly
when A < Ab. In this case,
wall stretch has no effect below the buckling area and pressure depends
only on the buckling stresses. The modified forms of
Eqs. 4 and 8 were then combined into the entire
P-A relationship
|
(9)
|
where
was substituted for
EI/r3.
At any given lumen area, the terms of Eq. 9 represent the summation of pressures due to vessel
wall stretch, bending (collapse), and buckling
(Ps + Pc + Pb = Pt), respectively. This is shown
in Fig. 2, where the pressure due to
stretch and the pressure due to buckling and collapse are separated.
The total pressure is also shown as the summation for what would be
similar to a linear elastic vessel. Note, also, that the pressure due
to distension was zero below the buckling pressure but that the
pressure due to collapse was permitted to have a value into the range
of distension. During this range of pressure, the vessel was allowed to
bend and stretch simultaneously (20). Bending stresses stabilize at
high pressures where the vessel lumen becomes circular in shape.

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Fig. 2.
Model collapse and distension pressures.
Pt, transmural pressure-lumen area
curve for a hypothetical elastic vessel;
Ps, pressure-lumen area curve due
to wall stretch alone; Pc,
pressure-lumen area curve due to change in cross-sectional geometry and
collapse; Pb, buckling pressure
(transmural pressure at maximum compliance point);
P0, zero pressure;
Ab, lumen
cross-sectional area at maximum compliance point;
A0, lumen
cross-sectional area at zero transmural pressure. All curves were
computed from their corresponding terms in model (Eq. 9).
P0-A0
point is lumen area at which pressure is zero.
Pb-Ab
is point of onset of buckling.
|
|
The compliance equation can be derived by taking the inverse of the
derivative of Eq. 9 as stated
previously. The equation for the
Ec is
|
(10)
|
Approximate form. It was found useful to
approximate the exponential stretch relationship in
Eq. 9 of the model. The first two
terms of a Taylor series were employed, consisting of the first and
second power of the extension ratio. In this case, the model equation
becomes
|
(11)
|
It
was found that the advantage of this formulation is that it can
represent both linear elastic vessels and blood vessels equally well.
For example, if the vessel is linear elastic, then the value of
a2 would be zero.
Although the exponential relationship can be forced to behave in a
nearly linear manner by reducing the value of
b, it cannot fit a linear elastic
vessel as well as Eq. 11. There was
found to be no statistical disadvantage in using Eq. 11 compared with Eq. 9
for nonlinear elastic blood vessels. Moreover, the number of parameters
is the same so that nonlinear regression algorithms were found to
perform identically for both models.
Geometric P-A Model
The model parameters in Eq. 9 or
11 can be derived from geometric and
wall property vessel data, a first-principle formula, or a statistical
fit of the model to vessel P-A data. These parameters indirectly
reflect vessel size and wall properties. An alternative model was
derived to relate vessel wall thickness, radius, and wall properties
directly to the P-A model. Moreover, because the walls of arteries and
veins are mostly water, they are nearly incompressible. It was assumed,
then, that the wall cross-sectional area is approximately conserved.
This assumption was also applied to elastic tubing.
To begin, an equation for wall thickness and radius was derived by
equating the wall cross-sectional area at the MCP with the wall
cross-sectional area at any other point, relying on conservation of
wall cross-sectional area. A second-order polynomial with respect to
wall thickness resulted and was solved for wall thickness, obtaining
the following equation
|
(12)
|
The
lumen radius was derived from the lumen area by assuming a circular
cross-sectional shape. This assumption holds for pressures at and above
the buckling pressure. For pressures less than
Pb,
r = rb and
h = hb because the
midwall perimeter is constant. At the MCP, the cross-sectional shape
may deviate from circular, depending on the vessel. For example, the
shape may be more accurately described as elliptical; thus
rb is estimated
from the equivalent area of a circle when
A = Ab. When the
vessel collapses, the use of a single value for the radius is
meaningless, whereas the use of lumen area still applies.
The mean circumferential wall stress due to stretch was defined by
Eq. 2 modified as
|
(13)
|
where
|
(14)
|
and
where the extension ratio is
|
(15)
|
The
constant rmb is
the midwall radius at the MCP when h = hb and
r = rb. A prime
denotes wall elastic material property as opposed to unprimed
parameters that were used earlier to indicate an elastance property. As
in the lumped model, it is useful to limit the extension ratio to
positive values. The extension ratio then becomes
|
(16)
|
Similarly,
a series approximation for exponential wall stress can be employed as
before. In this case, the mean wall tangential stress becomes
|
(17)
|
The
stress-strain Eq. 13 or
17 can be differentiated to obtain the
incremental elastic modulus of the wall material. Because the value of
b' is positive for blood
vessels, the elastic modulus increases with vessel distension; that is,
wall stiffness increases. The pressure due to wall stretch was derived
through a modified form of the Laplace equation for a thick-walled
cylinder
|
(18)
|
The region of collapse was modeled predominantly by
Eq. 4 where geometric constants and
wall elasticity are substituted for the flexural rigidity (13)
|
(19)
|
Note
that the flexural or bending properties were referenced to the MCP
(Ab,
Pb, and
Cmax), where
hb,
rmb, and
E are assumed to be constant during
collapse because there is little wall stretch. Then, as before, the sum
of Ps,
Pc, and
Pb derived in this section is the
Pt; that is
|
(20)
|
 |
VESSEL EXPERIMENTS |
Data Collection
P-A data were collected for a total of six vessels: Penrose drainage
latex tubing (0.25 in. ID; Davol), Kent latex tubing (0.1875 in. ID),
Tygon latex tubing (0.135 in. ID), canine femoral artery, canine
carotid artery, and canine jugular vein. Six trials were performed for
each vessel. Note that the vessels of interest are medium sized because
these vessels have some influence on systemic pressure-compliance and
pressure-volume relationships. Alternatively, small peripheral arteries
exert their influence on the peripheral flow resistance property (not
studied here). The experimental method that follows describes the
apparatus that was used to measure the lumen volume and area. The
vessel diameter was not measured because the lumen cross-sectional
shape is permitted to alter shape during collapse. Thus a simple
circular cross section was not assumed for the diameter to be useful.
It was chosen to measure lumen area in response to pressure.
Alternatively, a controlled fluid volume can be directly injected into
the vessel via an infusion pump. The apparatus also allows the study of
P-A dynamics by replacing the manual pressure pump with a pulsatile
pressure source (9). Dynamics were not studied in this paper. All
measurements were performed slowly so as to obtain static P-A data.
The method employed was to use a fluid-filled chamber to contain the
vessel (7). Before the vessel was placed in the chamber, its resting
wall thickness, length, and diameter were measured by means of a
micrometer. The vessel was placed into the chamber and held at each end
by a rigid cannula in such a way as to restore its in vivo length (Fig.
3). The chamber was filled with
physiological saline at 25°C that was not degassed, allowing a
small amount of air at the top. The chamber was then sealed by placing
an airtight cover on top. The volume of the vessel was measured with
the use of the gas law. That is, because PV equals a constant, pressure is inversely related to the volume of air in the chamber. Thus because
the air volume of the chamber can change only due to the vessel volume,
the pressure in the chamber must respond in accordance with the gas
law. The chamber pressure was then measured by means of a pressure
transducer (Motorola MPX50). An external fluid-filled syringe (0.25 ml)
was also connected to the chamber to provide a calibrated source of
volume change. Chamber pressure change was then calibrated in terms of
a syringe volume change of 0.25 ml. To simplify the measurements and
maintain linearity, the volume of air in the chamber was chosen such
that the total volume change of the vessel resulted in a chamber
pressure deviation of, at most, 5 mmHg. In this way, the chamber
pressure changes were slight so as to not alter the external vessel
pressure significantly. For the precision of the pressure transducer
chosen, it was possible to measure volume to within ±2% of the
full volume range for the given vessel under study, relying on the
syringe as the source of volume calibration. This level of accuracy
could be improved by decreasing the volume of air in the chamber at the
sacrifice of having larger changes in external pressure and increased
nonlinearity of the measurement.

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Fig. 3.
Apparatus employed to measure P-A curves for all vessels studied. A
valve permits separate control of internal
(Pi) and external
(Pe) vessel pressures.
Physiological saline surrounds and fills vessel. A pressure transducer
is used to monitor air pressure change and is recalibrated to measure
vessel volume.
|
|
Once the chamber pressure was calibrated to measure vessel volume, the
transmural pressure of the vessel was altered by varying its internal
pressure. This was performed by means of the cannulas that were used to
extend and hold the vessel in the chamber. One cannula was
plugged while the opposite one was connected to a pressure pump and
manometer. Before the cannula was plugged, the vessel was filled with
saline.
Vessel volume was measured as a function of transmural pressure over
the range of
100 to 150 mmHg. In each case, the vessel was
cycled up and down over the entire range of pressures until a stable
P-A curve was obtained. The data provided were for three cycles of
increasing and decreasing transmural pressure after the stabilizing
cycles. The vessel volume was converted to area by dividing by the
vessel length, assuming that the lumen area is approximately uniform
over the vessel length. Six measurements of lumen area were obtained at
fixed changes in transmural pressure. The minimum number of pressure
measurements was 20, at approximately equal intervals of pressure and
equal sample interval of 30 s. The data shown in all figures are the
mean lumen area for each level of pressure. Error bars are not shown
for any of the data because the standard deviations were found to be
<2% of the mean values for all vessels studied. It should be noted
that the sampling procedure described here was found to be important in
attaining such a high degree of reproducibility of the data so that
time-dependent effects, such as hysteresis, are minimized. Also, the
level of smooth muscle activity was not determined. But, due to
the high reproducibility of our data, it can be assumed to be in a
constant state during the course of the measurements.
Model Evaluation
The set of constants was determined for the models of
Eqs. 9 and 17 for each specific vessel by means
of nonlinear regression to the P-A data with a Marquardt-Levenberg
algorithm (24). Convergence was established when the mean squared error
of the residuals changes <0.01% between iterations. Presumably, a
minimum in error is achieved for the parameter values that correspond
to this point. The initial parameter values employed were within the
expected range of values (20%), and the parameters were found to
converge to consistent values. This was investigated by varying the
initial values of each parameter before regression. In our experience,
it was necessary to employ at least 20 points uniformly distributed
over the full range of pressure. It is likely that higher standard
deviations than those obtained in these experiments may require more
data points to obtain convergence. The statistics and plotting were carried out through the use of the graphic software SigmaPlot (Jandel
Scientific) on an Apple Macintosh IIvx computer. The parameters found
from the nonlinear regression were inserted into the model and were
used to compute the transmural pressure corresponding to each measured
value of lumen area. The model-derived pressures were then compared
with the actual P-A data by evaluating the mean error of estimate. In
all cases, the compliance curves were computed from the derivative of
area with respect to pressure. Derivatives were computed numerically
with the forward difference method.
Arterial Hypertrophy Model
Studies were performed with the geometric model to investigate the
alterations in the P-A curve during vascular hypertrophy for two
different patterns of growth. The P-A curve of the canine carotid
artery, a medium-sized artery, was selected to represent the control
conditions (normal vessel).
In each hypertrophy modeled, the wall material properties were assumed
to be unchanged. In terms of the model, this means that the parameters
a' and
b' were held constant in
Eq. 13 at the values obtained for the
normal carotid artery. This also assumes that smooth muscle activation
remains constant. Some evidence for an invariant wall material
property can be found from an animal study on hypertension (4).
Hence only geometric effects were being analyzed in this study.
In the first case studied, vascular hypertrophy was created by adding
wall tissue in the outward direction only. Total tissue volume and wall
thickness were increased above the normal vessel size, and the vessel
is assumed to hypertrophy by growth. This was accomplished by
increasing the value of
hb in the model.
The second kind of hypertrophy modeled was remodeling. In this case, wall thickness was increased while the wall cross-sectional area or
volume per unit length was maintained constant. Given a fixed Aw and the
prescribed hb, it
was necessary to find the decrease in lumen area due to increased wall
thickness from
|
(21)
|
where
|
(22)
|
The wall thickness of the carotid and femoral arteries has been
observed to increase in a range of up to 100% above normal and by an
average of 23% in hypertensive humans (14). In the late stages of the
disease, a doubling of wall thickness can be found. Thus the wall
thickness was varied in the model from normal to +100% above the
control value in increments of 25%. A family of P-A curves and their
corresponding compliance curves were generated for each value of wall
thickness and for both patterns of hypertrophy.
 |
RESULTS |
Both models were found to apply well to each vessel type studied here.
A worst-case (Tygon tube) mean error of estimate in pressure of <10.7
mmHg and a standard deviation of 13.5 mmHg between the lumped model of
Eq. 9 and the data were found, and a
mean error of estimate of <7.9 mmHg and standard deviation of 10.1 mmHg for the geometric model of Eq. 20
were found. But because this vessel is the least compliant, it was
measured over a range of 600 mmHg. Taken in this context, the error
represents only 1.8% of the range studied. For all vessels studied,
the mean error of estimate overall was 3.8 mmHg or 2.5% of the full
range measured. Errors were less for blood vessels (see Tables 2 and
3).
Figures 1 and
4-6
show the P-A data for each vessel as well as for the corresponding
model results. As can be seen, the two curves on each plot are almost
identical over most of the pressure range. Figure 1 shows the results
for the canine carotid artery and the corresponding compliance curve
plotted as a function of pressure. Figure 4 shows the same curves for
the latex elastic vessel. As can be seen, the model performs well for
either vascular or elastic vessels. There was virtually no difference
between the full geometric model and the lumped model. This was
expected because the form of the equations is identical, with the
exception that the geometric parameters are expressed in terms of
vessel size and wall material properties.

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Fig. 4.
A: latex vessel P-A data and
corresponding geometric model-derived relationships.
B: compliance-pressure curve for model
and data in A.
|
|

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Fig. 5.
Blood vessel P-A data and corresponding geometric model-derived
relationships for a canine femoral artery
(A) and canine jugular vein
(B).
|
|
Table 1 provides the measured
characteristics of each vessel studied. Table
2 provides, for the lumped model, the
modeling parameters and constants, and a measure of the quality of the model fit to the data (the mean absolute estimate error). Table 3 provides the results for the
parameters and constants of the geometric model and the mean absolute
error for each vessel studied.
The regions of collapse and distension each require the parameters
E,
a', and
b' that determine the
stress-strain curve of the vessel wall material. The constant
E represents the wall elastic modulus
during collapse. It was assumed that the value of wall elasticity is
relatively constant during collapse because the perimeter of the vessel
is not stretched. During wall stretch, though, the value of
E becomes a function of stretch and
must be determined from the slope of the stress-strain curve. Most studies of wall elasticity measure this value at the operating range of
blood pressure. So that the results of the model developed here can be
compared with others, the elastic modulus was evaluated at the point on
the stress-strain curve that corresponds with a blood pressure of 100 mmHg. These values were obtained for each vessel and are presented in
Table 3. Because the 100-mmHg value for the vein was found to be higher
than that for the arteries, its value was redetermined at 10 mmHg,
closer to venous pressure. It was then found to be 0.47 × 106 dyn/cm2, lower than the arterial
wall elasticity.
The effects of hypertrophy on the P-A curve can be seen in Fig.
7. A crossover point is observable, i.e., a
point of intersection of the P-A hypertrophy curve with its
nonhypertrophied P-A curve. The pressure range from negative to low
values, as seen in Fig. 7B, displays a
leftward shift in the P-A curve. That is, at any given pressure, the
lumen area decreases with an increase in hypertrophy. The high-pressure
region behaves in just the reverse way: at any given pressure, the
lumen area increases with hypertrophy. Thus there was a rightward shift
in the P-A curve in this region.

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Fig. 7.
Results of arterial hypertrophy model for a canine carotid artery.
A: full range of P-A relationships.
B: stretch region magnified to show a
crossover point. Wall thickness was increased with growth of wall cross
section. Five degrees of hypertrophy (change in wall thickness) are
shown: 0 (normal), 25 (×1.25), 50 (×1.50), 75 (×1.75), and 100% (×2).
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Figure 8 shows the corresponding compliance
curves of the modeled results of Fig. 7. This family of curves shows
three interesting features. For pressures higher than ~15 mmHg, the
compliance curve shifts up at any given pressure. Thus compliance
increases with hypertrophy. The final behavior observed was a decrease
in compliance at any given pressure for the collapse region, seen on
the plot as a downward shift in the compliance curve.
Pure arterial wall remodeling resulted in a lumen area that was found
to decrease for any increase in wall thickness (Fig. 9). The compliance curves that correspond
to remodeling demonstrate the greatest reductions in the low and
negative range of pressures (Fig. 10). In
particular, it is interesting to note that
Cmax alters to a much greater
extent than for hypertrophy with growth. Alternatively, the changes in
compliance are small in the normal and hypertensive ranges of blood
pressure compared with growth.

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Fig. 9.
P-A curves for a canine carotid artery as found from model for
remodeling. Wall thickness was increased, but wall cross-sectional area
was constant. Five degrees of remodeling (change in wall thickness) are
shown: 0% (normal), 25 (×1.25), 50 (×1.50), 75 (×1.75), and 100% (×2).
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Parameter Sensitivity
Because wall material property values were not available for the growth
model, it was necessary to examine the effect of their variation. The
sensitivity to each parameter was examined as well. Parameter
sensitivity was determined only for the values that were computed to
best fit the femoral artery data. A fractional change, <1% of each
parameter value, was applied to compute the corresponding change in
transmural pressure. Sensitivity was then reported as the fractional
change in transmural pressure normalized by the fractional change in
the parameter (Fig. 11).

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Fig. 11.
Sensitivity of transmural pressure to variation in each model parameter
during vessel collapse (A) and
vessel distension (B). Sensitivity
was computed as fractional change in transmural pressure normalized by
fractional change in the given parameter.
n, Constant defining degree of
curvature of hyperbolic P-A relationship;
E, wall elastic modulus (elasticity);
a', constant of proportionality
termed wall elastic scale modulus;
b', exponential rate constant
termed wall elastic rate modulus;
hb, vessel wall
thickness at maximum compliance point.
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The parameter sensitivity results were different in the distension and
collapse ranges. For example, the parameters
n and E have effects during collapse but no
effects during distension. This was expected because the model
equations require that these parameters control the collapse pressure
term Pc. Similarly, the parameters
a' and
b' were found to alter only the
distension range of pressure. Thus the extreme distension and collapse
regions of the P-A curve may be modeled separately, if desired. This
approach fails, though, near the buckling pressure and area where all
parameters are necessary. For blood vessels, the complete model was
necessary for the range ± 15 mmHg. The other parameters common to
the distension and collapse terms were found to be effective in their
corresponding ranges.
To further examine the effect of the wall material parameters
a' and
b' on the hypertrophy
predictions, the positive range of pressure was computed for a
±10% change in each parameter. This computation was performed for
the condition of outward wall growth (Fig.
12). The wall thickness was doubled in
comparison with the control values. It was found that increasing either
a' or
b' reduces the lumen area at a
given positive pressure. Decreasing a' or
b' resulted in the opposite
response.

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Fig. 12.
Control P-A curves computed from model with carotid artery parameters.
For each hypertrophy curve, wall material parameters
a'
(A) and
b'
(B) were varied ±10% around
control values. Hypertrophy curves were computed for a doubling of wall
thickness in an outward growth pattern.
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DISCUSSION |
Vessel Model
The vessel P-A model was provided here in two forms: a lumped P-A model
and a geometric P-A model. Depending on the application or study, the
lumped P-A model may be employed, for example, if it is necessary only
to model data. If dimensional or wall vascular properties are of
interest, then the geometric model is more appropriate. It was shown
here that either form of the P-A model can model blood vessel and latex
tube data equally well over the full range of blood pressures including
vessel collapse. For all vessels studied, the mean absolute error
between the model and the data was <11 mmHg. In the case of blood
vessels, this error was <3.5 mmHg for both models. Thus the
performance of both models was indistinguishable in terms of error. The
only functional difference between the models accounts for wall
thickness changes with lumen area. But because the distension
relationship for both models incorporates an exponential, the presence
of the wall thickness variable can be accounted for by altering the
exponential parameter.
The models fit the vascular vessel P-A data somewhat better than those
for the elastic vessels. This is because the blood vessels more closely
approximate the exponential stress-strain behavior expressed during
distension. That is, the wall elastic properties are nonlinear, giving
rise to an exponential P-A curve for positive pressures. By contrast,
latex vessels possess a more linear elastic material property. It was
found that the series approximation form of the exponential
stress-to-stretch ratio is superior in representing the elastic vessels
(results not provided here). When performing a fit, the strain-squared
term is typically forced to become small. This leaves the linear term
present, resulting in better accuracy. The exponential form was
retained here because it always provided the lowest error for blood
vessels, which is the main focus. The Penrose tubing P-A relationship
differs in this respect, though, by more closely matching the model
than the other elastic tubes. This could be explained by its natural tendency to partially collapse at zero pressure.
Although the parameters a' and
b' were used in this study to
specify the shape of the stress-strain curve, researchers (5) have
employed the incremental wall elastic modulus as a measure of wall
stiffness. This is found from the slope of the stress-strain curve.
Because the stress curve is nonlinear, the elastic modulus is not a
constant and varies with blood pressure. Thus most studies refer the
elastic modulus to a specific pressure or lumen area, most commonly,
the normal blood pressure range. So that a comparison can be made, the
elastic modulus was evaluated from the slope of the model-generated
stress-strain curve at a point corresponding to 100 mmHg. These values
corresponded well with those reported for the dog in other studies
(13).
Hypertrophy
The P-A model was developed to study the vascular hypertrophy that
occurs with hypertension, as well as for other hemodynamic applications. It has been suggested earlier that the vascular wall
thickens to reduce wall stress and protect the vascular tissue from
elevated luminal pressures. In fact, in any type of hypertension, wall
thickening of the medial layer is always observed (21). Other
researchers suggested that continual hypertrophy leads to lumen narrowing because of wall thickening. This increases blood flow
resistance and further increases blood pressure, i.e., the structural
theory of hypertension (12). Differing theories consider vascular
hypertrophy as either the cause of hypertension or the secondary
response to it.
The pattern of wall thickening for vascular hypertrophy is of interest
to researchers. In particular, the question arises, What is the effect
of wall hypertrophy on lumen size and vessel compliance over the
complete range of pressures? Heagerty et al. (17) found that peripheral
arteries, small arteries, and arterioles typically remodel with
hypertension. Thus wall thickness increases and the wall
thickness-to-diameter ratio increases, whereas the wall cross-sectional
area is found to remain nearly constant. This constraint was applied to
the P-A model and was used to find lumen pressure and compliance versus
blood pressure (Figs. 9 and 10). The model results show a decrease in
lumen diameter of 9.5% for a wall thickening of 25% compared with
control values at a transmural pressure of 100 mmHg. This is consistent
with the observations of Heagerty et al., who found that lumen diameter
decreases 13% for a 17% increase in wall thickness. Although
experimental results are available for unpressurized
vessels (21), the model indicates that the lumen area should decrease
with remodeling for all levels of pressure. Functionally, this may be
expected because the reduced lumen size will increase flow resistance
and protect the distal vascular bed from the elevated pressures.
After remodeling occurs, compliance either decreases, stays constant,
or increases depending on the severity of hypertrophy and the elevation
of blood pressure. The effect of remodeling and wall thickening on
compliance was minimal in the normal- to high-pressure range. Thus the
compliance change in remodeled arteries for high pressure is primarily
due to pressure dependency and/or wall material changes and not
to the wall thickness alteration.
The other pattern of vascular hypertrophy modeled was outward wall
growth due to wall thickening. But, unlike that for remodeling, the
wall area increases. The lumen-narrowing response of this pattern of
hypertrophy was similar to that of remodeling for low pressures but
caused an increase in lumen size for normal to high pressures (Fig. 7).
This, at first, was seemingly a contradiction. But, recently, Hayoz et
al. (16) provided supporting data. When examining the lumen size in
normotensive and hypertensive subjects at the same pressure, these
researchers reported a 1% increase in the radial arterial diameter.
This corresponds with the model prediction of a +1.6% change in lumen
diameter for the +25% wall-thickening curve at a transmural pressure
of 100 mmHg. The growth pattern is thus dependent on the anatomic
location of the vessel. These researchers performed their studies on
medium to large arteries. Because these vessels primarily serve as
conduits for blood flow, it may be beneficial for them to hypertrophy
such that wall stresses are reduced yet flow resistance is maintained
or slightly diminished.
Although the effect of geometry and wall growth of the vessel is
emphasized here, it should be clear that wall material properties are
not excluded from the changes that occur in the wall of a hypertrophied
vessel. For example, it was shown that lumen area would also increase
for a reduction in wall stiffness (Fig. 12). But wall stiffness is
generally observed to increase in hypertensive and elderly patients.
Despite this, the model predicts that a 10% increase in wall stiffness
can still lead to an increasing lumen area at high pressure in
hypertrophied vessels. Because a decrease in wall stiffness is not
likely in disease conditions, it may be that wall thickening is a more
probable explanation for the observed effects.
It should be noted, though, that hypertrophy with growth leads to a
lumen area decrease for low positive pressures (Fig. 7). Thus it would
seem that lumen narrowing with hypertrophy is consistent throughout the
systemic arterial tree when vessels from experimental animals at low
positive pressure are examined. The discrepancy of lumen size increase
arises only when hypertrophied vessels are compared with
nonhypertrophied vessels at high pressures.
Two regions of behavior were seen with hypertrophy, i.e., regions of
increasing and decreasing lumen area with wall thickness. This appears
as a crossover point in Fig. 7. For small muscular arteries and
arterioles, only a reduced lumen area with hypertrophy has been
reported. These arteries might display both regions of behavior but
because of their low wall thickness or high wall thickness-to-lumen
radius ratio, the crossover point might be at a much higher pressure
than is physiological, making its existence for these vessels unlikely.
The opposite can be said for medium to large muscular arteries because
of their thick walls and smaller wall thickness-to-lumen radius ratios.
These arteries show an increase in lumen area with hypertrophy at high
pressures (4) and a decrease at lower pressures. The crossover point of
the P-A curve is typically not reported by others. This might be
because the pressure range that is usually investigated is often
incomplete. Furthermore, observations of the full P-A curve would be
necessary before and after hypertrophy takes place. Such complete
experimental studies are lacking in the literature.
Weizsacker et al. (29), though, did report the presence of
crossover in longitudinal force-length curves for differing pressures
in nonhypertrophied vessels.
Last, the arterial compliance changes due to hypertrophy with growth
were modeled (Fig. 8). The change in compliance due to this type of
growth pattern was inverse to that of remodeling and shows a much
larger increase in compliance over the normal-to-hypertensive pressure
range. Hayoz et al. (16) also observed this from human radial artery
data. This group described the compliance curve changes as an upward
"resetting" of compliance by 25% for the hypertensive patients.
This corresponded well with the compliance curve for the 25% increase
in wall thickness of the model. Thus normal large arteries and those
that have hypertrophied are found to have nearly equal compliance when
the compliance is determined at the subject's resting pressure. This
pattern of growth may be important for large arteries such that the
pulse pressure is maintained or not excessively increased (2).
There would appear to be a discrepancy between the lumen area and
compliance change due to hypertrophy with growth compared with that of
remodeling. It is generally assumed that a vessel's compliance should
decrease with increased wall thickness, as in remodeling. The results
shown here demonstrate that the pattern of wall thickening is important
to determine this outcome. Thus the opposite response of compliance for
hypertrophy can be explained as follows. If the wall growth is outward
while lumen area is maintained, the vessel wall stress must be reduced
according to Laplace's law. Reduced wall stress, in turn, reduces wall
stiffness, making the vessel more compliant and also able to increase
lumen size more readily. In the case of remodeling, the same situation is true with the exception that there is some inward wall growth. This
decreases the lumen area more rapidly than the wall stress and
stiffness.
A simple test was performed to examine the above concepts. Consider,
for example, the case where hypertrophy occurs while the wall material
elastic modulus is a constant. That is, assume that the vessel wall
consists of a linear elastic material. This situation is nearly true
for the latex vessels that were studied here. Thus, by employing a
linear elastic wall material and analyzing an outward wall growth, as
for the blood vessel, it was found that lumen area and compliance
decrease at high pressures compared with the nonhypertrophied wall.
This was opposite to what was found for the outward hypertrophied
artery. Hence the fact that wall stiffness and wall stress decrease due
to wall thickening permits the artery to achieve increased lumen area
and compliance. The nonlinear elastic wall property is crucial for this
outcome.
The modeling case of hypertrophy with outward wall growth was
intriguing because it does explain why lumen area and compliance are
increased. It was interesting to reexamine these results in the event
that elastic stiffness increases. It was then found that the lumen area
and compliance were returned toward control values. Thus it appears
that the outward wall-thickening result may only be observed with the
provision that wall stiffness is not increased much above normal
levels. Unfortunately, in vivo studies have not been performed as yet
to investigate this possibility. The alternative explanation that wall
stiffness decreases during hypertrophy is not typically observed in
hypertension.
It should be clear that the model presented here, although
corresponding closely to our data and those reported by others (1, 14,
16, 17), focuses on the effect of wall growth pattern. In
an actual disease process, it may be expected that other parameters can
change as well. For example, it was assumed that the wall material
properties are invariant after hypertrophy. The geometric parameter
Ab and the
collapse parameters were invariant as well. Finally, the roles of
residual wall stress and longitudinal tether were not considered. These
parameters may likely change with a pathology and need to be fully
evaluated in future experimental studies. The fact that other
parameters may vary in hypertension may be a limitation of this
modeling approach.
In addition to being able to model normal passive, physiologically
active, and pathological effects on the P-A curve, the model can also
be easily modified to account for the effects of tether (29). These are
the effects due to longitudinal stress on a vessel resulting from an
application of an axial force. This can be achieved by merely changing
hb and
Ab. For increased
longitudinal stress,
hb and
Ab are decreased.
In this study, longitudinal stress was assumed to be constant at in
vivo levels.
The role of residual wall stress was not studied explicitly in this
paper. Residual stress can be defined as the existence of a stress
distribution across the vessel wall even when transmural pressure is
zero. This stress distribution results in a bending stress that would
cause the vessel to open if it were cut longitudinally. The model
measures this bending stress by means of the
Pc term. Hence residual stress is
implicit in the value of Pc where
it is negative. At zero transmural pressure, this term was balanced by
the contribution of wall stress due to the stretch term
Ps. In the example of Fig. 2,
Pc was shown as a decomposition of
the total transmural pressure. It can be seen that
Pc is nonzero even at zero
transmural pressure. Hence the presence of residual stress must
indirectly result in a collapse pressure, although its transmural distribution cannot be resolved by this model. Because the parameters in this term were not varied with hypertrophy, it may be assumed that
residual stress is invariant in the model predictions.
Because the P-A data curves were obtained from averages of the
periodically cycled lumen volume and pressure, the viscous dynamic
effects were removed. This is thus a static model of a P-A curve of a
vessel. Because hypertrophy, though, is a chronic, long-term process,
the results and discussion provided in this regard are not affected by
viscosity.
In conclusion, the present study overcomes the problem of modeling the
P-A curve of vessels for the complete range of pressure by combining
two regions of behavior, collapse and distension, into a single model
of a vascular segment. This was found to be critical for low blood
pressure levels where the two regions overlap, allowing for more
realistic applications involving the pressure and flow dynamics in
blood vessels. Moreover, the model allows the variation in vessel size
that earlier empirical models could not, thus permitting the study of
vascular hypertrophy performed here. The model was validated here in
comparison with different types of blood vessels and elastic tubing,
where model errors were found to be commensurate with the level of
experimental error.
Two patterns of arterial wall thickening were studied with the vessel
model. The first pattern was hypertrophy with outward wall growth. This
pattern of growth was found to produce increased arterial compliance
and lumen size for hypertensive pressure. In addition, it was found
that outward hypertrophy led to increased lumen size only for normal to
high blood pressure. Otherwise, at low pressures, lumen narrowing was
found to occur. The second pattern was wall thickening with remodeling
(no wall growth). This produced the widely observed decrease in
compliance as well as in lumen area. It was concluded that the wall
growth pattern is an important determinant of vascular compliance and
lumen size change with wall thickness.
This work was supported in part by a grant from the American Heart
Association, New Jersey Affiliate.
Address reprint requests to G. Drzewiecki.
Received 30 January 1996; accepted in final form 16 June 1997.