Department of Anaesthesia and Intensive Care, Royal Adelaide
Hospital, University of Adelaide, North Terrace, Adelaide, SA 5005, Australia
The lung, myocardial and systemic kinetics of the enantiomers of
verapamil, and their myocardial effects, were measured after administration of 10 mg of racemic verapamil during 2 min to
chronically instrumented sheep; the data were used to develop a
physiological model of the process. Verapamil was characterized by
relatively slow transit through the lungs and heart. The lung kinetic
values were membrane limited, whereas the tissue/blood equilibrium
half-life for the heart was approximately 8 min. There was little
difference between the kinetic values of the enantiomers, with the
exception of their extent of deep distribution into the lung. The time
course of the increase in myocardial blood flow caused by verapamil was best related to the time course of the arterial verapamil
concentrations, whereas the time course of increases in the interval
between P and R waves of the electrocardiogram and decreases in the
maximum rate of rise of left ventricular pressure were best related to the time course of its myocardial concentrations. Thus, the observed hysteresis for these effects compared with arterial blood was largely
caused by the time required for the myocardial equilibration. The model
predicted that the myocardial concentrations of verapamil were
relatively insensitive to the duration of injection of a given bolus
dose, but that rapid injection caused transient, high arterial
concentrations. It also predicted that the bolus dose of verapamil
should be modified over a 2-fold range to account for physiologically
plausible variations in base-line cardiac output and myocardial blood
flow.
 |
Introduction |
Verapamil
is a calcium-channel antagonist that can reduce the strength and rate
of contraction of cardiac muscle (Cohen et al., 1987
; Satoh
et al., 1979
; Raschack, 1976
) and the tone of vascular
smooth muscle (Nawrath and Raschack, 1987
; Golenhofen and Lammel,
1972
). It has been used clinically to treat hypertension, myocardial
ischemia and tachyarrhythmias, the latter often by intravenous bolus
administration or short infusion. Early studies of this type of
administration showed a delay between the concentration of verapamil in
venous blood and its effects on A-V conduction in some circumstances
(McAllister and Kirsten, 1982
) but not others (McAllister et
al., 1977
). Attempts to account for this delay (hysteresis) by
measuring the myocardial concentrations of verapamil have had mixed
success. In dogs, verapamil concentrations in direct myocardial
biopsies were linearly related to myocardial effects, but with some
suggestion of hysteresis (Keefe and Kates, 1982
). In humans, the direct
effects of verapamil on the heart showed hysteresis when compared with
the myocardial concentrations determined by a mass balance method
(Powell et al., 1990
).
Several developments have contributed to the understanding of these
earlier studies, and suggest the following hypotheses. First, like many
other drugs (Huang et al., 1993
; Upton et al., 1996
), it can be hypothesized that the myocardial effects of verapamil are directly related to its concentration in the myocardium. Second, it
is now clear that the enantiomers of verapamil can differ in their
kinetics and dynamics (Eichelbaum et al., 1984
), and that these differences can be species specific (Laethem et al.,
1995
). It could be hypothesized that this alone could account for the hysteresis observed in some studies in which only racemic verapamil was
assayed. Third, it could be hypothesized that recent insights into the
kinetics of bolus administration (Upton, 1996
), when applied to
verapamil, would provide greater insight into the relationship between
verapamil dose and duration of injection and the amount of verapamil
entering the heart. Important processes in bolus kinetics are the
mixing of drug with venous blood and cardiac output (Upton and Huang,
1993
), the kinetics of the first-pass passage of the drug through the
lungs (Roerig et al., 1989
) and the kinetics and dynamics of
the drug in its target organ, in this case the heart (Upton, 1996
;
Huang et al., 1993
). Indeed, descriptions of initial bolus
kinetics that do not include these processes but consider bolus
administration as the addition of a drug to a central compartment often
perform poorly, with very unreliable estimates of the central volume
(Keefe and Kates, 1982
).
In this paper, we examine these hypotheses by measuring the
enantiomer-specific lung, heart and systemic kinetics of verapamil, and
its myocardial dynamics, in a conscious chronically instrumented sheep
preparation. We identify the determinants of the myocardial concentrations and effects of verapamil and propose a physiologically based pharmacokinetic-pharmacodynamic model of the process [analogous to our previous work with propofol (Upton and Ludbrook, 1997
; Ludbrook
and Upton, 1997
)]. Simulations with the model are used to provide
important insights into the dose requirements of verapamil.
 |
Methods |
The study protocol was approved by the institutional Animal
Ethics Review Committee. Seven adult merino ewes weighing approximately 50 kg were prepared with chronic intravascular catheters and Doppler flow probes to allow drug administration, cardiovascular function monitoring and the measurement of blood flows.
Animal Preparation
The method for preparing the sheep has been described in detail
elsewhere (Huang et al., 1992
). Sheep were prepared under anesthesia with ultrasonic Doppler flow probes on the left main coronary artery (for measurement of an index of left myocardial blood
flow) and the trunk of the pulmonary artery (for measurement of cardiac
output). The calibration of these flow measurements also has been
described previously (Huang et al., 1992
). Intravascular catheters were placed via the right carotid artery or
jugular vein in the ascending aorta (for arterial blood sampling and
placement of a left ventricular manometer catheter), inferior vena cava (for drug administration), the coronary sinus (after ligation of the
hemiazygous vein for sampling myocardial effluent blood) and in the
pulmonary artery (for blood sampling). All the surgical procedures were
performed by sterile technique. After they recovered from anesthesia,
the sheep were placed in mobile metabolic crates and their catheters
were flushed continuously with heparinized (5 IU/ml) 0.9% saline at a
rate of 3 ml/hr, with a gas-powered system (Runciman et al.,
1984
). All animals had free access to food and water.
Hemodynamic Measurements
On an experimental day, the following hemodynamic measurements
were made by methods reported previously (Huang et al.,
1992
). Myocardial blood flow and cardiac output were derived from the output of the Doppler flow probes. An index of myocardial contractility was derived from the LV dP/dtmax
recorded by use of an acutely placed micromanometer catheter in the
left ventricle. Mean arterial blood pressure was measured with a
pressure transducer on one of the arterial catheters. These
hemodynamic parameters were recorded with an analog-to-digital
card (Metrabyte DAS 16-G2) and a personal computer (486 based IBM
compatible). A quadrapolar electrocardiogram was recorded from
electrodes placed on each leg of the sheep and on a high-frequency
response chart recorder (Devices 4 channel). This electrocardiogram was
later analyzed to determine the heart rate and PR interval to give an
index of the rate of A-V conduction.
Study Design and Pharmacokinetic Measurements
Studies were conducted in seven sheep prepared as described
above. After the placement and the calibration of the hemodynamic measurement devices, sheep were allowed to "settle down" for
approximately 30 min before base-line measurements of the hemodynamic
parameters were recorded. The sheep were administered 10-mg doses of
verapamil hydrochloride (Isoptin 5 mg/2 ml, Knoll AG, Germany) diluted
with 0.9% saline (total volume, 20 ml) as a 2-min i.v. infusion into the right atrium. During the experiments, the sheep were partially supported in a comfortable sling inside their metabolic crates to
prevent them from lying down during the study, which would influence
the hemodynamic measurements. After the start of the verapamil
infusion, the hemodynamic parameters were recorded continuously for the
next 30 min, and pulmonary artery, arterial and coronary sinus blood
samples (1 ml) were taken at 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 6,
7, 8, 9, 10, 12.5, 15, 17.5, 20, 22.5, 25, 27.5 and 30 min by methods
reported previously by our laboratory (Huang et al., 1991
).
Verapamil Assay
Verapamil was assayed by an high-performance liquid
chromatography method based on enantiomer separation with an Chiral-AGP column (100 × 4.0 mm, ChromTech AB, Hagersten, Sweden), as
described in the application notes for this column [ChromTech
Application note no. 11 (1993), ChromTech AB, Hagersten, Sweden]. The
whole-blood samples were collected into 10-ml glass tubes that
contained 0.25 µg of (+)-mepivacaine as an internal standard and 25 µl of heparin (1000 IU/ml) as an anticoagulant. They were processed
by extraction into diethyl ether under basic conditions, followed by
acidic extraction into 200 µl of 0.005 N phosphoric acid. This acid
phase (50 µl) was injected into the high-performance liquid
chromatography which used a buffer containing 90% 0.01 N
Na2HPO4 (pH 7.15) and 10%
acetonitrile. Detection was by ultraviolet absorbance at 214 nm. A
runtime of approximately 15 min separated the enantiomers of verapamil,
and the limit of sensitivity was approximately 0.02 µg/ml. To
determine whole-blood verapamil concentrations, five-point standard
curves (range, 0.05-0.5 µg/ml) were prepared in drug-free whole
blood taken from the animal immediately before the study. The mean
R2 values of the standard curves were
0.9992 (S.D. 0.0008) and 0.9996 (S.D. 0.0002) for the (+)- and
(
)-enantiomers, respectively.
Kinetic and Dynamic Analysis
In general terms, lung kinetic values were deduced from the
pulmonary artery-arterial verapamil gradient and cardiac output, whereas heart kinetic values were deduced from the arterial-coronary sinus verapamil gradient and myocardial blood flow. Systemic kinetic values were deduced from the time course of the arterial verapamil concentrations. The dynamic effects of verapamil on myocardial contractility (LV dP/dtmax),
myocardial blood flow and A-V conduction (PR interval) were compared
with the concentrations of verapamil in arterial or coronary sinus
blood. The complex relationships between these kinetic and dynamic
processes were synthesized by physiological modeling as described
below.
Modeling methods.
The general modeling method was the hybrid
modeling of kinetics and/or dynamics in separate regions
(e.g., lung, heart) with empirical forcing functions to
represent inputs into the region and curve-fitting of the output to
determine model parameters (Upton, 1996
). Curve-fitting was by a least
squares method based on the maximization of MSC, which is essentially
the Akaike Information Criterion scaled to compensate for data sets of
different magnitudes (Wagner, 1993
). In this context, values of about 5 are consistent with an extremely good fit of the data, whereas values
of about 1 are consistent with a poor fit. No weighting was considered necessary because there was no evidence that the data were
heteroscedastic. Models were constructed as a series of differential
equations with the Scientist for Windows software package (Version 2, Micromath Scientific Software, Salt Lake City, Utah). Models were
fitted to mean data for the seven sheep.
Lung models of each enantiomer. The measured pulmonary
artery verapamil concentrations (Cpa) and
cardiac output (Qco) data were fitted to
forcing functions (exponential and polynomial functions, respectively)
and these were used as the input functions for the models. The measured
arterial concentrations (Cart) were used to
estimate the parameters of the following models by curve-fitting for
each enantiomer.
| 1. |
A single flow-limited compartment with the mass balance
equation modified for effluent rather than tissue drug concentrations, where Vlung is the apparent volume of the
compartment representing the lung.
|
(1)
|
2. A single flow-limited compartment with first-order lung
extraction (ERlung):
|
(2)
|
3. A membrane-limited model where "PS" is used to
represent membrane permeability in keeping with standard principles of capillary exchange (Intaglietta and Johnson, 1978 ) and
Cd is the verapamil concentration in
the deep compartment of the lung with a volume given by
Vdeep.
|
(3)
|
Heart models of each enantiomer. The process used
was similar to that described above for the lung, but the arterial
concentrations of verapamil and myocardial blood flow data were fitted
to forcing functions and used as the inputs, and the coronary sinus
concentrations were used as the output for parameter estimation. The
structural models examined for each enantiomer were those described
above for the lung, but to define the model in terms of parameters more relevant to the heart than the lungs, the flow-limited compartment with
extraction was expressed alternatively as small first-order loss from
the compartment:
|
(4)
|
Cart is the arterial verapamil
concentration, Ccs is the coronary sinus
verapamil concentration, Qh is myocardial
blood flow, Vh is the apparent volume of
the heart and kout is the rate constant of
drug loss. The model was expressed in this form for comparison with the
reported loss of some drugs from the surface of the heart into
surrounding fluids (Huang and Upton, 1993 ).
|
Systemic kinetics model. The systemic kinetics of
each enantiomer of verapamil was modeled as two-tissue pools,
representing well perfused tissues (other than the heart and lung) and
poorly perfused tissues, respectively. These were connected in a
recirculatory manner with the lung and heart models as shown in figure
1. A vascular mixing compartment was
included with parameters based on previous work (Upton, 1996
), which
improves the description of bolus kinetics. The fraction of cardiac
output (less myocardial blood flow) to each tissue pool was set at 80%
and 20%, respectively. It was necessary to set a value for this
fraction term to prevent the values of the tissue pool volumes from
being underdetermined in the fitting process. A first-order clearance
process from the well perfused compartment nominally represented
hepatic clearance. To determine the values of the parameters of these
tissue pools in the combined model (which included previously estimated
model parameters for the lungs and heart), they were curve-fitted
simultaneously to the arterial and pulmonary concentration data for
each enantiomer.

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Fig. 1.
The overall structure of the model. The model is
composed of six compartments representing a venous mixing, lung, deep
lung, heart and two tissue pools connected in a recirculatory manner through which the cardiac output (Qco)
flows. The kinetics of the (+)- and ( )-enantiomers of verapamil were
treated separately in each compartment. The effects of verapamil on
myocardial blood flow (Qh), myocardial
contractility (LV dP/dtmax)
and A-V conduction (PR interval) were treated as the sum of the effect
of both enantiomers using the potency ratios shown in table 4.
|
|
Pharmacokinetic-pharmacodynamic analysis for each
enantiomer. Semiparametric first-order effect compartment
analysis was used to determine the first-order rate constant
(keo) relating the time course of the
arterial or coronary sinus blood concentrations of each enantiomer and
the time course of three drug effects (LV dP/dtmax, PR interval and
myocardial blood flow) by methods reported previously (Upton et
al., 1996
). The arterial or coronary sinus concentrations
(Cbld) were fitted to forcing functions,
and the effect compartment concentration
(Ceff) was given by the following equation:
|
(5)
|
Linear, log-linear, Emax and sigmoid
Emax dynamic models relating
Ceff to the observed effect (E)
were compared in each case based on the following equations:
|
(6)
|
|
(7)
|
|
(8)
|
where Emax is the maximum drug
effect, and EC50 is the concentration at which
half the maximum effect occurs, base line is the base-line level of
effect, and the + or
term is used if the drug increases or
decreases the effect relative to the base line, respectively. The
fitted effect compartment rate constants were converted to half-lives
for further analysis. If a drug effect preceded a drug concentration,
the hypothetical delay was estimated by fitting the concentrations to
the effects by the inverse of the dynamic function. For example, the
inverse of equation 7 is as follows:
|
(9)
|
Combined kinetic-dynamic model for both enantiomers.
Although data on the relationships between the concentrations of each
enantiomer of verapamil and their combined effect on the heart from the
previous sections are useful for choosing the concentration site best
related to a drug effect, conclusions drawn from these data can be
misleading if potency resides predominantly in one enantiomer, as for
verapamil (Satoh et al., 1980
). The combined kinetic-dynamic
model was therefore structured as follows: After the administration of
racemic verapamil, the kinetics of each enantiomer was handled
separately in each organ of the model as described above. The measured
drug effects were assumed to be the sum of the effect caused by the
concentration of each enantiomer at the effect site of relevance, with
the difference in potency accounted for by differences in the
EC50 of each enantiomer. The following equations
are an example, and have been used to relate the LV
dP/dtmax changes
(dpdt) to the coronary sinus concentrations of each
enantiomer [Ccsm for the (
)-enantiomer,
Ccsp for the (+)-enantiomer].
Emax is the maximum drug effect,
EC50 m and EC50p are the
concentrations at which half the maximum effect is achieved for the
(
)- and (+)-enantiomers, respectively, and P is the
potency ratio (
)/(+).
|
|
|
(10)
|
This equation requires the estimation of only three parameters
(Emax, EC50m and base
line) from the concentration and effect data. The literature was
examined to determine the known potency ratios (
/+) of the
enantiomers of verapamil for their effects on myocardial blood flow,
myocardial contractility (e.g., LV
dP/dtmax) and A-V conduction
(e.g., PR interval). The potency ratio for changes in
myocardial blood flow has been reported to be between 1.5 and 3 (Satoh
et al., 1979
, 1980
); we used a value of 2. A potency ratio
of 10:1 was used for LV
dP/dtmax, based on data in
experimental dogs (Satoh et al., 1980
; Chiba et
al., 1978
; Kaumann and Serur, 1975
). For PR interval, potency
ratios of 3 to 10:1 have been reported (Kaumann and Serur, 1975
; Glorr
and Urthaler, 1983
; Chiba et al., 1978
); to be conservative,
we used a value of 4:1.
Given the small differences in the time courses of the enantiomers, the
model would be expected to be relatively insensitive to the values of
these potency ratios. This was examined by use of a range of potency
values for effects of contractility in the combined model.
Implications of the Model
Two simulations were performed to illustrate some of the uses of
the final kinetic-dynamic model. First, the model was used to analyze
the effect of altering the duration of injection (from 10 to 480 sec)
of a fixed dose of verapamil on the time course of its arterial and
coronary sinus concentrations (and therefore effects of PR interval and
contractility). Second, it was used to analyze the dose requirements
for verapamil to achieve approximately the same time course of effect
for a variety of physiological states. For this, the model was used to
predict the time course of the effect of verapamil (10 mg) on changes
in PR interval for 60 min under normal conditions of cardiac output
(Qco) and myocardial blood flow
(Qh). A curve-fitting routine was then used
to determine the dose and duration of injection of verapamil best able
to duplicate the same time course of effect over a range of values of
Qco and Qh.
 |
Results |
Blood concentration differences between the enantiomers of
verapamil.
The time courses of the concentrations of each
enantiomer of verapamil in pulmonary artery, arterial and coronary
sinus blood were superficially similar and are shown in figure
2. However, 95% confidence limit
analysis of the ratios of the (+) over the (
) concentrations showed
that concentration of the (+) was 10 to 20% greater than that of the
(
) for each site at some stage during the 30-min study period (fig.
3), which suggests that an enantiomer-specific analysis was necessary. The times of the peak arterial, pulmonary artery and coronary sinus concentrations were 2, 2 and 4.5 min, respectively, and did not differ between enantiomers.

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Fig. 2.
The means and standard errors of the concentrations
of (+)-verapamil (top) and ( )-verapamil (bottom) observed in
pulmonary artery (open squares), aortic (filled circles) and coronary
sinus (open triangles) blood after administration of 10 mg of the
racemate during 2 min starting from time zero.
|
|

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Fig. 3.
The time course of the mean and 95% confidence
limits of the ratio of the (+) over the ( ) concentrations of
verapamil in blood from the arterial, coronary sinus and pulmonary
artery sampling sites. If there were no differences in the kinetics of
the enantiomers, this ratio would be 1. In fact, the 95% confidence
limits of the data do not include 1 for some time points, which
suggests enantiomeric differences in kinetics.
|
|
Lung kinetics of verapamil.
The parameters and "goodness of
fit" of the various models are shown in table
1. The flow-limited model was a poor fit
of the data, principally because less verapamil left the lungs than entered during the experimental period. This could be addressed by
adding a first-order extraction term of 22 to 26%, but a better fit
was achieved by sequestering this "missing drug" in a relatively large "deep distribution" compartment in the membrane-limited model. This provided an excellent fit of the data (fig.
4) and good estimates of parameters. The
ratio of permeability (PS, approximately 2 l/min) over flow (cardiac
output, approximately 5.6 l/min) of approximately 0.3 places this model
in the category that is both flow and membrane limited (Piiper and
Scheid, 1981
). The volume of this deep compartment differed between
enantiomers.
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|
TABLE 1
Lung kinetic models
The parameters of the flow-limited (flow), flow-limited with extraction
(flow + ER) and membrane-limited (membrane) lung kinetic models
for each enantiomer. Goodness of fit is given by the
R2 value and the MSC (see the text). A higher MSC
indicates a better fit. The data are shown as the mean and upper and
lower 95% confidence limits. An asterisk indicates that the value for
the (+)-enantiomer was statistically different from that for the
( )-enantiomer by comparison of the mean with the 95% confidence
limits.
|
|

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Fig. 4.
The line of best fit (solid line) of the
membrane-limited model of lung kinetics for the (+)-enantiomer to the
observed arterial (+)-verapamil concentrations (mean, open circles;
95% confidence limits, dotted lines).
|
|
Myocardial kinetics of verapamil.
All three models were good
descriptions of the data, with general agreement that the volume of the
heart was about 1.1 l (table 2). A
subtle improvement was gained by including the first-order loss, which
was relatively small. However, this loss was not consistent with
distribution into a deep compartment of the membrane-limited model,
which gave a slightly worse fit and under-determined parameters (table
2). The first-order loss model provided a good fit of the data (fig.
5) and was used for the subsequent
systemic modeling, this loss may be caused by diffusion of
verapamil from the surface of the heart into pericardial fluid, which
has been reported for other drugs (Huang and Upton, 1993
). The
differences in myocardial kinetics between the enantiomers were
insignificant (table 2).
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TABLE 2
Myocardial kinetic models
The parameters of the flow-limited (flow), flow-limited with
first-order loss (flow + loss) and membrane-limited (membrane) myocardial kinetic models for each enantiomer. Goodness of fit is given
by the R2 value and the MSC (see the text). A higher
MSC indicates a better fit. The data are shown as the mean and upper
and lower 95% confidence limits. There were no statistically
significant differences between the means for each enantiomer by
comparison of the means and 95% confidence limits.
|
|

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Fig. 5.
The line of best fit (solid line) of the single
flow compartment with small first-order loss model of myocardial
kinetics for the ( )-enantiomer to the observed coronary sinus
( )-verapamil concentrations (mean, open circles; 95% confidence
limits, dotted lines).
|
|
Systemic kinetics of verapamil.
For the (+)-enantiomer, the
volumes (mean ± S.D.) of tissue pool 1, tissue pool 2 and the
total clearance where 10.09 ± 2.28 l, 51 ± 66 l
and 2.82 ± 0.87 l/min, respectively. For the (
)-enantiomer, these values were 9.87 ± 2.49 l, 38 ± 15 l and
2.70 ± 0.77 l/min. With the exception of the volume of tissue
pool 2 for the (+)-enantiomer, these were precise estimates, and the
MSC was relatively good (2.92 for the (+) and 3.01 for the (
)) for
each enantiomer.
Pharmacodynamic effects of verapamil.
Verapamil had profound
effects on the heart (fig. 6). LV
dP/dtmax decreased to 45% of
base line at 3 min, whereas myocardial blood flow and PR interval
increased to 213% and 141% of base line, respectively. Its
hemodynamic effects were less pronounced. Cardiac output was increased
transiently to a maximum of 122%, but was only statistically increased
for a period from 0.5 to 2 min, whereas blood pressure was decreased
transiently to a minimum of 90% of base line for a similar period.
Heart rate was increased significantly from 1 to 6 min, with a peak
increase of 131% of base line at 3.5 min.

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Fig. 6.
The time courses of myocardial blood flow
(Qh), the maximum rate of change of left
ventricular pressure (LV
dP/dtmax) and PR interval
after the intravenous administration of 10 mg of racemic verapamil for
2 min (mean, open circles; 95% confidence limits, dotted lines). The
solid line is the best fit of effect delay models relating the effect
to the arterial ( )-verapamil concentrations (Qh) and the coronary sinus ( )-verapamil
concentrations (LV dP/dtmax and PR interval) as given in table 3. The dashed line is the best fit
of the combined dynamic models for both enantiomers without the small
effect delay for these sites (table 4).
|
|
Pharmacokinetic-pharmacodynamic relationships.
The effect
delay half-lives for various concentrations and effects are shown in
table 3. The changes in
Qh were well related to the time course of
the arterial concentrations of each enantiomer, whereas the changes in
PR interval were well related to the time courses of their coronary
sinus concentrations. The LV
dP/dtmax data were problematical
in that the analysis showed they were slightly delayed relative to the
arterial concentrations, but preceded the coronary sinus concentrations
by a smaller amount (table 3), although the coronary sinus
concentrations were substantially delayed relative to the arterial.
This may have been because the time course of LV
dP/dtmax did not have a well
defined minimum value, and was at its minimum for a period of 2 to 3 min. Hysteresis analysis was conducted by quantitating the area under
the curve of the ascending and descending limbs of concentration-effect plots (Huang et al., 1993
). This showed that hysteresis was
considerably smaller for the coronary sinus concentrations than for the
arterial, so in subsequent analysis the changes in LV
dP/dtmax were assumed to be a
function of the coronary sinus (and therefore myocardial) concentrations.
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TABLE 3
Effect delay half-lives
The effect delay half-lives
( ) of myocardial
blood flow (Qh), the maximum rate of rise of left
ventricular pressure (LV dP/dtmax) and A-V
conduction (PR interval) relative to arterial and coronary sinus blood.
The data are shown as the mean and upper and lower 95% confidence
limits. A negative effect half-life indicates that the effect preceded
the concentration indicated. An asterisk indicates that the value for
the (+)-enantiomer was statistically different from that for the
( )-enantiomer by comparison of the mean with the 95% confidence
limits.
|
|
Combined kinetic-dynamic model.
An
Emax model was the most appropriate dynamic
model for the combined effects of each enantiomer on
Qh, LV
dP/dtmax and PR interval, giving
the highest value of the MSC with precise estimation of parameters
(table 4). The fits of the best models to
the effect data are shown in figure 6.
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TABLE 4
Combined effect model parameters
The parameters of the best dynamic models for changes in myocardial
blood flow (Qh), the maximum rate of rise of left
ventricular pressure (LV dP/dtmax) and A-V
conduction (PR interval) relative to arterial (Qh)
and coronary sinus blood (LV dP/dtmax and PR interval) for both the (+)- and ( )-enantiomers based on the potency ratios shown. An example of the equations of the dynamic models is
shown in the text. The data are shown as the mean and upper and lower
95% confidence limits.
|
|
Potency ratios of 5:1, 8:1, 10:1 and 12:1 for the effect of (
):(+)
verapamil on LV dP/dtmax in the
combined kinetic-dynamic model gave MSC values of 5.21, 5.27, 5.28 and
5.17, respectively, with all ratios showing good fits of the observed
data. Thus, the predictions of the model are relatively insensitive to
the value of this ratio, and the values were chosen from the literature as described previously.
Implications of the model.
The effect of altering the duration
of administration of the same dose is shown in figure
7. The peak coronary sinus concentrations were delayed behind the end of injection by nearly 3 min for a 10-sec
injection, but only 1 min for a 480-sec injection. For durations
between 10- and 240-sec injections, the peak concentrations were within
95% of each other, whereas the value was 90% for the 480 sec
injection. More rapid injections were associated with high transient
arterial concentrations (fig. 7).

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Fig. 7.
The effect of duration of injection of racemic
verapamil on the time course of the concentrations of the
( )-enantiomer in arterial blood and the heart.
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The results of the simulation of the effect of flow changes on dose
requirements is shown in figure 8. Note
that changes in cardiac output and myocardial blood resulted in up to a
2-fold difference in dose requirements and a 3-fold difference in the optimal duration of injection.

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Fig. 8.
Model predictions of the dose and duration of
injection of verapamil required to achieve an approximately equivalent
increase in PR interval (during 60 min) for different physiological
states. The model was used to predict the time course of the effect of verapamil (10 mg) on slowing A-V conduction (increases in PR interval) for 60 min under normal conditions of cardiac output
(Qco) and myocardial blood flow
(Qh). A curve-fitting routine was then used to determine the simultaneous dose and duration of injection of verapamil best able to duplicate the same time course of effect over a
range of values of Qco (3, 6 and 9 l/min)
and Qh (50, 100 and 200 ml/min)
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Discussion |
Keefe and Kates (1982)
have previously modeled the myocardial
disposition of verapamil in dogs, and Powell et al. (1990)
have examined the myocardial uptake of verapamil in humans. However, the present data apparently are the first in which myocardial uptake
has been examined in an enantiomer-selective manner.
A comparison of the kinetics of (
)- and(+)-verapamil.
By
nature, 10 mg of racemic verapamil contains 5 mg of each enantiomer.
Therefore, in the absence of enantiomer-specific kinetics, the time
courses of the concentrations of each enantiomer will be the same.
Figure 1 shows that in broad terms this was the case. Modeling,
however, revealed differences in the extent of deep distribution of the
enantiomers into the lungs (table 1). This may have been sufficient to
account for the observed differences in the time courses of each
enantiomer (fig. 3).
Although the gross similarity in the kinetics of the enantiomers in
this study simplifies the interpretation of the present data,
other studies clearly show that it is impossible to generalize about
the importance of stereochemistry for verapamil, because there are
substantial species differences. Eichelbaum et al. (1984)
reported that there were significant differences in the protein binding
and the total systemic plasma clearance of (
)- and (+)-verapamil in
humans. The difference in clearance presumably was caused by hepatic
clearance, because oral administration resulted in significantly higher
concentrations of (+)-verapamil. Recently, Laethem et al. (1995)
examined the kinetics of the enantiomers of verapamil in rabbits
and dogs. Like the sheep data presented here, there were no great
differences in kinetics in the rabbit, whereas enantiomeric differences
in the dog were caused by differences in protein binding and metabolism
which may resemble more closely the situation in humans.
There appears to be more consistent data regarding the differences in
the dynamic effects of (
)- and (+)-verapamil, with most studies
showing that each enantiomer has similar qualitative effects, but with
the (
)-enantiomer showing greater potency.
The kinetic role of the lung.
The lung plays an important role
in bolus kinetics (Chiou, 1979
; Jones and Nicholas, 1981
; Roerig
et al., 1989
), whereby it can act as a "capacitor" for a
drug between the injection site and its target organ. The greater the
storage capacity of the lung, the greater the ability of the lung to
damp the rapidly changing pulmonary artery blood concentrations caused
by bolus injection (Upton and Huang, 1993
). This appears to be the case for verapamil, for which a membrane-limited model with significant distribution volumes was found. This is compatible with the significant uptake (50%) of verapamil reported for the human lung (Roerig et
al., 1989
).
Heart kinetics.
The apparent volume of the heart for both
(
)- and (+)-verapamil was approximately 1.1 l. Given that the
mass of the heart tissue drained by the coronary sinus in sheep has
been measured as 216 ± 37 g (Huang, 1991
), this apparent
volume equates to a heart/blood partition coefficient of approximately
5.1, which is similar to the value of 6.2 reported in dogs (Keefe and
Kates, 1982
) and 7.05 in humans (Padrini et al., 1985
).
The apparent volume of verapamil in the heart is relatively large
compared with the base-line myocardial blood flow (0.094 l/min) and
equates to a mean transit time of approximately 12 min, and an arterial
blood/myocardial equilibrium half-life (Runciman and Upton, 1994
) of
approximately 8 min. The consequences of this delay between the
arterial concentrations of verapamil and its concentrations in the
heart would be most significant after bolus administration of less than
1-min duration, and should be accounted for when titrating verapamil to
an observable myocardial effect (e.g., ECG changes) as the
peak myocardial concentration (and therefore effect) will occur some 3 min after the injection. For slower injections and short infusions
(e.g., 8-min duration), this delay in peak effect was
reduced to approximately 1 min after the end of the injection.
Kinetic-dynamic relationships.
The importance of the
myocardial concentration of verapamil in determining the
magnitude of its effects on myocardial contractility and conduction has
been shown in vitro (Chiba et al., 1978
;
Raschack, 1976
) and in vivo (Gloor and Urthaler,
1983
), and it has been shown that it is the concentration of
the unionized form that is important in determining effects (Cohen
et al., 1987
). These data support the results of the present
study and the use of the myocardial concentrations as the determinant
of myocardial effects in the model. The fact that the changes in
myocardial blood flow were better related to the time course of the
arterial concentrations is intriguing. This suggests that flow changes
are dictated by the concentration of verapamil in the arteries and
arterioles of the heart, which rapidly equilibrate with arterial blood,
rather than in the tissue of the heart which equilibrate more slowly.
The half-life of the delay or hysteresis between verapamil blood
concentrations and effects have been reported to range from approximately 2 min (Schwartz et al., 1989
) to 49 min
(Colburn et al., 1986
). However, when arm venous blood
samples are used (Schwartz et al., 1989
), the delay in
arm/blood equilibrium fortuitously may be similar to that of
myocardial/arterial blood equilibrium, giving rise to negligible delay.
Unfortunately, this approach may fail when altered physiological
conditions cause changes in myocardial but not arm blood flow, and
vice versa. The present data suggest that the effect delay
for verapamil (for contractility and A-V conduction) is consistent with
the delay caused by myocardial/arterial blood equilibrium.
Dose implications.
The predictions of the model provide
insight into the determinants of the myocardial uptake of
verapamil, but still must be confirmed experimentally. They
suggest, however, that the myocardial concentrations of verapamil are
relatively insensitive to the duration of injection of a given dose
because of the "damping" of the injected peak in the relatively
high distribution volumes of the lungs and heart. The common clinical
practice of infusion of a given dose of verapamil for 5 min is
confirmed by these data. For this duration of injection, the peak
myocardial concentrations could be expected to occur between 1 and 2 min after the end of the infusion. Thus, when titrating verapamil
against a clinical indicator, this is predicted to be the minimum
interval between doses required so that another dose is not injected
before the maximum effect of the previous dose has been manifested.
Injections of the same dose more rapidly than during 5 min do little to
hasten the entry of verapamil into the heart but are associated
with high transient arterial concentrations, which may have adverse
effects of their own (Ludbrook and Upton, 1997
) and allow less
time for homeostatic control mechanisms to compensate for changes in
the circulatory state. Conversely, infusion of the same dose during
periods longer than 5 min will cause reductions in peak myocardial
concentrations because of greater elimination and redistribution of
verapamil before the peak myocardial concentration.
Of more importance with respect to dose requirements of verapamil is
the cardiac output and myocardial blood flow of an individual. The
model predicts that variability in the myocardial effects of verapamil
between and within individuals could be improved by adjusting the dose
for the anticipated cardiac output and myocardial blood flow of the
individual. This is consistent with previous reports of cardiac output
dependent kinetics for other drugs (Christensen et al.,
1982
; Henthorn et al., 1992
; Krejcie et al.,
1994
; Watt et al., 1996
), but awaits experimental
confirmation for verapamil in humans and other species.
Mr Peter G. Langston is thanked for assistance in the surgical
preparation of the sheep.
Accepted for publication November 24, 1997.
Received for publication June 23, 1997.