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Antimicrobial Agents and Chemotherapy, April 2000, p. 821-826, Vol. 44, No. 4
0066-4804/00/$04.00+0
Copyright © 2000, American Society for Microbiology. All rights reserved.
Single-Dose Pharmacokinetics of Amprenavir, a Human
Immunodeficiency Virus Type 1 Protease Inhibitor, in Subjects with
Normal or Impaired Hepatic Function
Laurence
Veronese,1,*
Jacques
Rautaureau,2
Brian M.
Sadler,3
Catherine
Gillotin,1
Jean-Pierre
Petite,4
Bernard
Pillegand,5
Michel
Delvaux,6
Claude
Masliah,7
Sandrine
Fosse,1
Yu
Lou,3 and
Daniel S.
Stein3
Laboratoire Glaxo Wellcome, 78163 Marly-le-Roi,1 Hôpital Avicenne,
93000 Bobigny,2 Hôpital Broussais,
75015 Paris,4 Hôpital Dupuytren,
87042 Limoges,5 Hôpital de
Rangueil, 31400 Toulouse,6 and
Hôtel-Dieu, 44035 Nantes,7
France, and Glaxo Wellcome, Inc., Research Triangle Park, North
Carolina3
Received 9 April 1999/Returned for modification 23 October
1999/Accepted 27 December 1999
 |
ABSTRACT |
Amprenavir (141W94) is extensively metabolized by P450 cytochromes,
specifically, CYP3A4. Because hepatic insufficiency reduces P450-mediated metabolism, the concentrations in plasma of drugs metabolized through this pathway are often increased in subjects with
liver disease. Following administration of a single, oral dose of 600 mg of amprenavir, pharmacokinetic parameters were determined for 10 subjects with severe cirrhosis, 10 subjects with moderate cirrhosis,
and 10 healthy volunteers. Model-independent methods for determining
the area under the plasma concentration-time curve (AUC) from time zero
to infinity (AUC0-
) showed an increase in amprenavir
AUC0-
of 2.5-fold in the group with moderate cirrhosis
and 4.5-fold in the group with severe cirrhosis compared with that in
the control group of healthy volunteers (P < 0.05).
AUC0-
was linearly related to the severity of liver
disease, as assessed by the Child-Pugh score. Of the laboratory data
used to calculate the Child-Pugh score, only the mean total bilirubin
concentration showed a significant relationship with
AUC0-
. The relationship between the total bilirubin concentration and the AUC0-
of amprenavir was well characterized by a simple Emax model,
suggesting that the total bilirubin concentration may be a useful
parameter for predicting the amprenavir AUC in subjects with hepatic
insufficiency. Finally, the sera of cirrhotic subjects showed
significant decreases in the levels of
1-acid
glycoprotein, the primary plasma binding protein for amprenavir. On the
basis of the results of this study, for an exposure equivalent to a
clinical dose of 1,200 mg twice daily in subjects without cirrhosis,
subjects with Child-Pugh scores of 5 to 8 should receive a twice-daily
450-mg dose of amprenavir, and subjects with Child-Pugh scores of 9 to
15 should receive a twice-daily 300-mg dose of amprenavir.
 |
INTRODUCTION |
Amprenavir (141W94) is a novel
anti-human immunodeficiency virus (anti-HIV) agent recently approved
for treatment of HIV infection. The mechanism of antiviral activity of
amprenavir is inhibition of viral aspartic protease, with a
Ki of 0.6 nM (7). Amprenavir is a
potent inhibitor of HIV type 1 (HIV-1) replication in vitro, with 50%
inhibitory concentrations of 0.084 and 0.080 mM for virus in human MT-4
cells and peripheral blood lymphocytes, respectively (15).
Clinical studies have evaluated single doses of amprenavir over a range
of 150 to 1,200 mg in HIV-1-infected adults and have shown that in the
range evaluated, plasma amprenavir concentrations increased linearly
with dose but the increases were slightly greater than dose
proportional (13). Following administration of a single, oral dose of 1,200 mg of amprenavir, the mean plasma amprenavir concentration 12 h after drug administration was fourfold greater than the in vitro 50% inhibitory concentration for HIV in peripheral blood lymphocytes (13). The dose approved for treatment of
HIV-1 infection in adults is 1,200 mg twice daily.
Liver dysfunction resulting from coinfection with hepatitis B or
hepatitis C virus may be a complication of HIV infection (F. Moretti,
R. Novati, G. Morsica, and A. Poli, Abstr. 12th Int. Conf. AIDS, p.
1124-1125, 1998). Like the rest of the currently licensed HIV-1
protease inhibitors used as antiviral drugs for HIV-1-infected
subjects, amprenavir is extensively metabolized in the liver by
cytochrome P450 enzymes, specifically, through the CYP3A4 pathway
(7; J. Woolley, S. Studenberg, C. Boehlert, G. Bowers, A. Sinhabaru, and P. Adams, Abstr. 37th Intersci. Conf. Antimicrob. Agents Chemother., abstr. A-60, p. 12, 1997). Drug metabolism by cytochrome P450 enzymes has important clinical
consequences because of the possibility of reduced drug metabolism and
subsequent increased plasma drug concentrations in subjects with liver
dysfunction (3). In addition, the potential for protease
inhibitors to induce or inhibit specific P450 isozymes has clinical
significance due to the possibility of drug-drug interactions in a
patient population likely to require multiple concomitant medications. In vitro studies have shown that amprenavir inhibits CYP3A4
(Ki = 0.06 mM) at clinically achievable
concentrations and CYP2C19 (Ki = 47 mM) at much
higher levels of exposure but does not inhibit CYP1A2, CYP2C9, CYP2D6,
or 2 CYP2E1 (Woolley et al., 37th ICAAC).
Like other HIV-1 protease inhibitors, amprenavir is bound to albumin
and to
1-acid glycoprotein (AAG), both of which are synthesized in the liver. In vitro studies with the protease inhibitors indinavir, saquinavir, and ritonavir, as well as with investigational protease inhibitors A77003, A-80987, KN1-272, and CGP 61755, have shown
that addition of AAG decreases in vitro drug activity (4, 5, 8,
10). In vivo, the situation is more complex as AAG is an
acute-phase protein whose levels are changed in certain disease states
(9; K. Stellrecht, G. L. Drusano, D. S. Stein, and J. A. Bilello, 3rd Conf. Retroviruses and Opportunistic
Infections, abstract, p. 84, 1996). In addition, amprenavir and
other protease inhibitors are hepatically cleared.
In order to investigate the effect of hepatic impairment on amprenavir
pharmacokinetics, we undertook a phase I clinical trial (Glaxo Wellcome
study PROB-1008) designed to compare the pharmacokinetics of amprenavir
in healthy volunteers to that in subjects with moderate or severe
cirrhosis. Because amprenavir is extensively metabolized in the liver
and is approximately 90% bound to AAG, amprenavir pharmacokinetics
might be significantly altered in subjects with liver disease, in whom
both P450 enzyme activities and AAG concentrations might be reduced.
For safety, the dose of amprenavir administered in this study was 600 mg, or one-half the 1,200-mg dose under clinical evaluation in phase
III trials. The primary goal of this trial was to evaluate the
differences in pharmacokinetics of amprenavir among the three groups of
subjects and thereby to determine whether a dose reduction is necessary
for subjects with cirrhosis.
 |
MATERIALS AND METHODS |
Study design.
This study was an open-label,
single-period, single-dose, parallel-group, phase I study conducted at
seven study centers in France during the period from March through
November 1997. The study was designed to include 30 subjects, both male
and female, divided equally among three groups. The three groups were
composed of 10 subjects with severe cirrhosis, 10 subjects with
moderate cirrhosis, and 10 healthy volunteers who were chosen as
controls to match the subjects with moderate cirrhosis for gender,
smoking status, weight, and age. Subjects with cirrhosis (moderate or severe) were enrolled at five study centers: Hôpital Avicenne, Bobigny; Hôpital Broussais, Paris; Hôpital Dupuytren,
Limoges; Hôpital de Rangueil, Toulouse; and Hôtel-Dieu,
Nantes. Healthy volunteers were enrolled at Therapharm Recherche in
Boulogne and at ASTER in Paris. In accordance with French law, the
study was registered with the French Ministry of Health and was
approved by the authorized Ethics Review Board prior to initiation.
Subjects provided written informed consent prior to enrollment in the study.
The study period consisted of a screening assessment, performed within
2 weeks prior to dosing, and a dosing period, during which subjects
received study drug and were monitored clinically in the unit or
hospital for 24 h (control subjects) or 96 h (cirrhotic subjects). Subjects were admitted to the unit or hospital the evening
before the dosing day and remained there until the final study
assessments were completed. Subjects fasted after midnight and received
study medication at 8 a.m. the next morning; standard meals were
served at 2, 6, and 12 h after dosing. Subjects were discharged
after the final procedures were completed at 24 or 96 h, and
no additional follow-up assessments were performed.
Subjects.
Ten subjects were enrolled in each of the three
groups: healthy volunteers, subjects with moderate cirrhosis, and
subjects with severe cirrhosis. All subjects were required to meet the following criteria for enrollment: agreed to consume no more than 4 units of alcohol per day until the end of the study (1 unit = 1/2
pint of beer, 1 glass of wine, or 1 measure of spirits); were capable
of giving informed consent; and was affiliated with the French Social
Security System for health care coverage. Healthy male and female
volunteers were eligible for the study if they met the following
criteria: were 18 to 65 years of age; had body weight (±10 kg), age
(±5 years), gender, and smoking habits matched to those of subjects
with moderate cirrhosis; and had good general health and were free from
significant disease as determined by physical examination, medical
history, and screening assessments. Healthy volunteers were ineligible
if they were considered unfit by the investigator or if any of the
following criteria were met: history of drug allergy or other allergy
that contraindicated participation; blood donation within the previous
month; current use of medication; current daily consumption of more
than 4 units of alcohol; participation in an investigational drug study
within the previous 3 months; positive antibody screen for HIV,
hepatitis B virus, or hepatitis C virus; pregnant; breast-feeding
female; or female of childbearing potential not using effective contraception.
Male and female subjects with moderate or severe cirrhosis were
eligible for the study if they met the following criteria:
were 18 to
65 years of age and were free of clinically significant
organic or
psychiatric disease that might affect amprenavir pharmacokinetics,
other than the expected consequences of cirrhosis. Subjects with
moderate cirrhosis were required to have biopsy-proven cirrhosis
or a
history of prior severe liver disease, as defined by this
protocol. For
subjects with moderate cirrhosis, the following
laboratory values were
required: albumin concentration,

28 g/liter;
prothrombin activity,

55% of normal; and bilirubin concentration,

60 µmol/liter.
Subjects with severe cirrhosis were required to
have one of the
following: a history of ascites, a history of
hepatic encephalopathy,
or esophageal varices (stage,

II). In
addition, subjects with severe
cirrhosis were required to have
at least one of the following
laboratory values: albumin concentration,
<28 g/liter; prothrombin
activity, <55% of normal; and bilirubin
concentration, >60
µmol/liter. Cirrhotic subjects were ineligible
if any of the
following criteria were met: clinically unstable
in the judgment of the
investigator; participation in a clinical
trial within the
previous 3 months or blood donation within the
previous 2 months;
evidence of current active hepatitis; gastrointestinal
malabsorption
that might affect drug absorption; pregnant; breast-feeding
female;
female of childbearing potential not using effective contraception;
evidence of drug abuse; currently active encephalopathy; creatinine
clearance, <40 ml/min (
6); or current use of an antacid
drug
or a drug that acts on intestinal motility (the drug had to be
stopped on the day prior to amprenavir administration) or a drug
known
to be a P450 enzyme inducer or inhibitor (inducers had to
be stopped 2 weeks prior to amprenavir administration, and inhibitors
had to be
stopped 1 week prior to amprenavir administration).
Use of concomitant
medications known to be metabolized by CYP3A4
was prohibited during the
study.
Drug supply and administration.
Drug was supplied by
Laboratoire Glaxo Wellcome Evreux. Individual 600-mg doses were
provided in plastic bottles containing four soft gelatin capsules of
150 mg of amprenavir free base. On the morning of the dosing day,
subjects ingested the four capsules with 200 ml of water.
Clinical procedures.
At the screening assessment the
following procedures were performed: medical history and full physical
examination; 12-lead electrocardiogram (ECG); blood collection for
clinical chemistry (including AAG) and hematology (complete blood count
and differential); urinalysis; urine screen for illicit drugs; screens
for hepatitis B virus, hepatitis C virus, and HIV; thyroid function
tests; and urine pregnancy test, if appropriate. Procedures and
assessments performed at 30 min predosing, at 24 h postdosing, and
at 96 h postdosing (cirrhotic subjects only) included clinical
chemistry, hematology, ECG, and vital signs. Female subjects of
childbearing potential were given a urine pregnancy test on the evening
prior to dosing. Adverse events were monitored throughout the dosing period by means of subject interviews and physical examination at the
end of the study period.
Sample collection.
Blood samples taken predosing and during
the first 24 h postdosing were drawn through an intravenous
cannula; other samples were taken by venipuncture. For amprenavir
assays, 3-ml blood samples were drawn into EDTA-containing tubes; the
plasma was separated by centrifugation and was stored at
20°C until
analysis. For hematology and clinical chemistry, 2-ml blood samples
were drawn into EDTA-containing tubes and lithium heparin-containing tubes, respectively. For thyroid function tests, 3-ml blood samples were drawn into EDTA-containing tubes. For determination of amprenavir levels, plasma samples were collected from all subjects at 0.5 h
predosing (baseline) and at 0.25, 0.5, 0.75, 1, 1.5, 2, 2.5, 3, 4, 5, 6, 8, 10, 12, 15, and 24 h postdosing. An additional five plasma
samples were collected from subjects with cirrhosis, at 34, 48, 58, 72, and 96 h postdosing.
Plasma assay conditions.
Amprenavir concentrations were
determined by liquid chromatography-mass spectrometry in the Department
of Bioanalysis, Glaxo Wellcome, Research Triangle Park, N.C. Aliquots
of 200 µl of acetonitrile containing 0.5 ng of internal standard per
µl were dispensed into a clean 96-well plate. Aliquots (100 µl) of
plasma samples and appropriate standards or controls were added to the
wells, and the plate was mixed by vortexing. Following centrifugation
at 2,500 rpm for 2 min, the supernatants were transferred to a separate 96-well plate containing 100 µl of 0.1% formic acid. Samples were mixed by vortexing and were injected (10 to 40 µl) at 4-min intervals onto a Waters Symmetry C18 analytical column (Waters Inc.,
Milford, Mass.). For the first 2 min the samples were eluted to the
mass spectrometer in mobile phase B (55% acetonitrile and 45% water; vol/vol) at a flow rate of 0.35 ml/min. After 2 min the pumps were
switched to mobile phase A (55% acetonitrile and 45% water with 0.1%
formic acid; vol/vol) at the same flow rate. An API-300 triple
quadruple mass spectrometer (PE Sciex, Toronto, Ontario, Canada)
operated in the positive-ion multiple-reaction-monitoring mode was used
to detect amprenavir and the internal standard by atmospheric pressure
chemical ionization tandem mass spectrometry.
Stock solutions of amprenavir for calibration and quality control
standards were prepared by dissolving amprenavir in 100%
methanol to
yield a stock solution of 1 mg/ml. Calibration standards
and quality
controls were prepared by dilution of the amprenavir
stock solution.
The final concentrations of calibration standards
ranged from 10 to
5,000 ng/ml for calibration standards; quality
control concentrations
were 35, 800, and 4,000 ng of amprenavir
per ml. The calibration curve
was linear from 10 to 5,000 ng/ml.
Accuracy (expressed as percent bias)
ranged from

5.9 to 2.9%
for validation controls. Intra-assay
precision, expressed as percent
coefficient of variation (CV), ranged
from 1.0 to 5.7%, and interassay
precision ranged from negligible to
4.6%.
Data analyses.
Pharmacokinetic calculations for
determination of plasma amprenavir concentrations were performed for
each subject by using WinNonlin (version 1.5; Scientific Consulting,
Inc., Cary, N.C.). Model-independent methods were used to estimate the
maximum concentration of amprenavir (Cmax), the
time associated with Cmax
(Tmax), the area under the concentration-time
curve (AUC) from time zero to time t
(AUC0-t), the half-life
(t1/2), the apparent total clearance (CL/F), and
the apparent volume of distribution during the elimination phase
(VZ/F). The apparent terminal elimination rate
constant (
Z) was estimated by log-linear regression of the terminal portions of the concentration-versus-time curves. For consistency with previously reported data, the
AUC0-t was calculated by using the linear
trapezoidal rule. AUC from time zero to infinity
(AUC0-
) was determined by extrapolation from
AUC0-t with the addition of
Clast/
Z, where
Clast is the last measured concentration in plasma.
Analysis of variance (ANOVA) was used to compare pharmacokinetic
parameters between the control group of healthy volunteers
and each of
the groups with liver disease. Prior to analysis the
values for
AUC
0-t, AUC
0-
,
Cmax,
t1/2,
CL/F, and
VZ/F were log
e
transformed. Covariates selected
to account for matching between groups
included gender, age, weight,
and smoking status. Geometric
least-squares means were used to
calculate the ratios of
pharmacokinetic parameters in each liver
disease group to those in the
control group, along with 90% confidence
intervals (CIs). Differences
in pharmacokinetic parameters between
two groups were considered
statistically significant if the 90%
CI did not include 1. The
Wilcoxon rank sum test was used for
comparison of the
Tmax values between the control group and each
liver disease group, and estimates of the median differences between
groups were determined, along with 90%
CIs.
The Student
t test was used for comparison of AAG scores in
each group. Because the normal range for AAG levels varied among
the
different laboratories used in the study, the following formula
(
14) was used to calculate a normalized AAG score for each
subject:
[Value

(
H + L)/2]/(
H
L), where
Value is the mean of the screening
and predosing AAG score,
H is the upper limit of the normal range,
and
L
is the lower limit of the normal
range.
On the basis of laboratory evaluations and the medical histories of the
subjects, liver disease in cirrhotic subjects was
classified according
to the Child-Pugh grading system (
11);
subjects in the
control group (without liver disease) were assigned
a Child-Pugh score
of zero. Linear and nonlinear regression methods
were used to assess
the relationship between pharmacokinetic parameters
and the Child-Pugh
score. The relationship between log-transformed
AUC
0-
and Child-Pugh score was explored by an ANOVA
model that included
gender, Child-Pugh score, and the interaction
between Child-Pugh score
and gender, if significant. The relationship
between log-transformed
AUC
0-
and each of the various
laboratory values that
contributed to the Child-Pugh score was
examined by an ANOVA model
which included gender and the log-transformed
mean baseline values for
albumin, prothrombin, and total
bilirubin.
In order to evaluate the particular relationship between the
AUC
0-
and the mean total bilirubin concentrations
(for
screening and predosing values), a simple
Emax
model (equation
1) and a sigmoid
Emax model
(equation 2) were fit to the data
by a nonlinear curve-fitting
approach.
|
(1)
|
|
(2)
|
where AUC
max is the AUC
0-
corresponding to the theoretical maximal effect of the mean bilirubin
concentration;
BIL
50 is the mean bilirubin concentration at
which 50% effect
of AUC
max occurs;

is an exponential
parameter (shape parameter
of the model); and BIL is the mean of the
predosing and screening
bilirubin values. Fitting was performed by the
Gauss-Newton method
by using WinNonlin (version 1.5; Scientific
Consulting, Inc.).
Analyses were conducted unweighted and weighted as
1/
y, 1/
y2,
1/
ypredicted, and
1/
y2predicted. Various
goodness-of-fit measures were examined, including
the CV of the
estimated parameters, the planar 95% CI of the estimate,
the Akaike
Information Criterion (
1), the coefficient of determination
(
r2), and various plots of weighted residual.
Model weighting was
compared by different empirical methods, and the
effects on model
fit were
evaluated.
 |
RESULTS |
Subject enrollment and baseline characteristics.
Thirty
subjects were enrolled in the study and completed the study. One of the
subjects in the group with moderate cirrhosis was enrolled twice. After
initial enrollment he was discontinued when it was discovered that he
was taking disulfiram, a concomitant medication whose use was
prohibited in this study. Treatment with disulfiram was interrupted for
2 weeks, and the subject was enrolled again and completed the study.
Data from the subject's first enrollment are not included in the
pharmacokinetic analysis.
Of the 30 evaluable subjects, 29 subjects were white and 1 subject was
black. The 10 healthy subjects included 7 males and
3 females aged 41 to 60 years, the 10 subjects with moderate cirrhosis
included 7 males
and 3 females aged 37 to 64 years, and the 10
subjects with severe
cirrhosis included 6 males and 4 females
aged 33 to 64 years. Median
heights and weights were 174.0 cm
and 78.0 kg, 167.5 cm and 79.5 kg,
and 170.0 cm and 58.5 kg for
healthy subjects, subjects with moderate
cirrhosis, and subjects
with severe cirrhosis, respectively. The
difference in weight
between the group with severe cirrhosis and either
of the other
two groups is significant (
P < 0.05).
Three healthy subjects and
two subjects from each of the cirrhosis
groups had never used
tobacco. Seven healthy subjects, seven subjects
with moderate
cirrhosis, and four subjects with severe cirrhosis were
current
smokers. One subject with moderate cirrhosis and four subjects
with severe cirrhosis were former smokers. The median Child-Pugh
score
was 5.0 (range, 5 to 6) for the group with moderate cirrhosis
and 9.0 (range, 5 to 12) for the group with severe cirrhosis.
No subjects with
a Child-Pugh score higher than 12 were enrolled
in the
study.
Safety assessments.
Five subjects reported a total of five
adverse events, of which three were considered possibly drug related:
one episode of rhinitis that occurred 10 h postdosing resolved
after 4 days and was experienced by a 43-year-old female in the group
with moderate cirrhosis; one episode of moderate epigastric pain that
occurred 10 h postdosing resolved after 16 h and was
experienced by a 32-year-old female in the group with severe cirrhosis;
and one episode of thrombocytopenia (platelet count,
146,000/mm3) was experienced at 96 h postdosing, was
resolved at the end of the study but was clinically insignificant, and
was experienced by a 59-year-old male with severe cirrhosis. The
remaining two adverse events reported in the study were considered not
drug related and consisted of one episode of diarrhea, experienced by a
subject in the group with severe cirrhosis, and one episode of
palpitations, experienced by a subject in the group with moderate cirrhosis. No adverse events were reported by the healthy subjects.
One healthy subject with a normal ECG both at screening and at
predosing experienced clinically significant nonspecific ST-T
changes
in the ECG at 24 h. This event was not considered an adverse
event
and was unresolved at the end of the study. A second subject,
in the
group with moderate cirrhosis, had a normal ECG at the
screening
assessment but showed sinus bradycardia at the predosing
ECG and at the
24-h-postdosing ECG. The ECG for this subject was
normal at 96 h
postdosing.
Laboratory abnormalities reported for the subjects with cirrhosis were
consistent with abnormalities expected for that population.
No new or
unexpected adverse events were reported for any subjects
in the study.
No serious adverse events were
reported.
Pharmacokinetic analysis.
Median plasma amprenavir profiles
for each group are shown in Fig. 1. For
all subjects, plasma amprenavir concentrations reached a peak within
0.25 to 3 h postdosing and declined in a biphasic pattern with a
t1/2 value of approximately 5 to 8 h.
Although blood samples for pharmacokinetic analysis continued to be
obtained through 96 h for cirrhotic subjects, median
concentrations of amprenavir were below the lower limit of
quantification (10 ng/ml) at 34 and 48 h postdosing for subjects
with moderate and severe cirrhosis, respectively. Median concentrations
of amprenavir were detectable at 24 h postdosing (end of study) in
the control group.
The pharmacokinetic parameters for the three groups are summarized in
Table
1. As indicated by the higher AUC
values and
lower CL/F values for both groups of cirrhotic subjects
compared
to healthy subjects, the clearance of amprenavir was decreased
in subjects with cirrhosis.
The pharmacokinetic parameters for subjects with severe or moderate
cirrhosis were compared to the pharmacokinetic parameters
for healthy
subjects (Table
1). There were statistically significant
differences
for AUC
0-
, AUC
0-t, and
CL/F for
subjects with moderate cirrhosis compared to those for
healthy
volunteers and for
Cmax, AUC
0-
,
AUC
0-t,
CL/F, and
VZ/F
for subjects with severe cirrhosis compared to
those for healthy
volunteers. A comparison of amprenavir AUC
0-
values
among the three groups is shown in Fig.
2.

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|
FIG. 2.
Relationship between amprenavir AUC0-
and Child-Pugh score. No subjects with a Child-Pugh score of >12 were
enrolled; therefore, extrapolation of results to subjects with higher
Child-Pugh scores should be made with caution.
|
|
The ANOVA model revealed that gender and the interaction of gender
· group were significant for AUC
0-
,
AUC
0-t,
and CL/F. Relative to male subjects,
female subjects had higher
AUC
0-
and
AUC
0-t values, and the difference
was more
pronounced for the group with moderate cirrhosis than
for the group
with severe cirrhosis (data not shown). However,
these differences
resulted from the fact that the three female
subjects in each group
happened to have higher Child-Pugh scores
than the male subjects. With
the addition of Child-Pugh score
to the model (see below), neither the
gender nor the gender ·
group interaction terms were
significant. No other covariates
(weight, age, or smoking status) were
significant influences on
the pharmacokinetic parameters in the ANOVA
model. The geometric
least-squares mean ratio results presented in
Table
1 for comparisons
between each cirrhotic group versus healthy
subjects were based
on the model after adjustment for selection
bias.
There was a significant relationship between AUC
0-
and
Child-Pugh score, as shown in Fig.
2, with AUC
0-
increasing with increasing Child-Pugh score. Several models for
the
relationship between AUC
0-
and Child-Pugh score
were
evaluated. Log transformation of AUC
0-
and the
use of
curvilinear models resulted in marginally better statistical
fits to
the data than use of the linear regression analysis shown
in Fig.
2
did, but the log transformation and curvilinear models
predicted very
narrow dosage-adjustment intervals for every 1
to 2 increments of the
Child-Pugh score. Such fine resolution
has little clinical relevance
because of the composite nature
and inherent variability in the
Child-Pugh score. Additionally,
body weight adjustments to AUC did not
improve the fit; body weight
is highly variable in subjects with
ascites and does not predict
lean body mass or the volume of
distribution of highly lipophilic
drugs like
amprenavir.
On the basis of linear regression analysis, values of
AUC
0-
were predicted for every possible Child-Pugh
score,
and the ratio of the AUC
0-
for healthy subjects
to
the AUC
0-
estimated for each Child-Pugh score was
used to estimate a dose of amprenavir which would be equivalent
to the
1,200-mg dose proposed for subjects without liver disease.
Results of
these calculations are shown in Table
2.
Since none
of the enrolled subjects had a Child-Pugh score over 12, extrapolation
of results to subjects with Child-Pugh scores over 12 should be
made with caution, and higher concentrations of amprenavir
may
be observed in these subjects.
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TABLE 2.
Estimated amprenavir AUC0- for each
Child-Pugh score and the proposed dosage required to achieve
equivalence with the recommended 1,200-mg dosea
|
|
Once a relationship with AUC
0-
and Child-Pugh score had
been established, an ANOVA model was used to determine
whether there
was a correlation with AUC
0-
and any
of the individual
laboratory parameters which are components of
the Child-Pugh score. Of
the relevant laboratory parameters examined
(albumin, prothrombin, and
bilirubin concentrations), only total
bilirubin concentrations were
significantly correlated with AUC
0-
(
P = 0.01). The simple
Emax model best described
the relationship
between AUC
0-
and bilirubin
concentration on the
basis of the Akaike Information Criterion and on
the basis of
the fact that the 95% CI for the value of

in the
sigmoid
Emax model included 1. The final
equation is plotted in Fig.
3, in
which
the amprenavir AUC
0-
is plotted versus the
mean
baseline total bilirubin concentration. The percent CV of
the two
parameters AUC
max and BIL
50 was less than 30%,
and the
coefficient of determination (
r2) was
0.65 (
P < 0.0001).
Mean ± standard deviation AAG scores for subjects with moderate
cirrhosis (

0.39 ± 0.20) and for those with severe cirrhosis
(

0.62 ± 0.32) were significantly less than those for healthy
subjects (

0.18 ± 0.14) (
P < 0.05). When
compared with healthy
subjects, the mean AAG score was decreased by
twofold for subjects
with moderate cirrhosis and by fourfold for
subjects with severe
cirrhosis.
 |
DISCUSSION |
This study was designed to assess the impact of liver disease on
amprenavir pharmacokinetics. Thirty subjects completed the study,
including 10 subjects with moderate cirrhosis and 10 subjects with
severe cirrhosis. No new or unexpected adverse events were attributed
to amprenavir, and the majority of laboratory abnormalities that
occurred in subjects with moderate or severe cirrhosis were consistent
with those associated with serious liver disease. The pharmacokinetic
profile was altered for subjects with cirrhosis, with higher
AUC0-
values and two- to fourfold lower CL/F values for
cirrhotic subjects relative to those for healthy subjects. Although
serum AAG concentrations were reduced in cirrhotic subjects, there was
no apparent increase in total clearance of amprenavir. Because
amprenavir is extensively metabolized by CYP3A4, the findings are
consistent with a significant reduction in CYP3A4 activity, porto-caval
shunting, or both.
A linear relationship was observed between AUC0-
and
the Child-Pugh score. Because there is also a linear relationship between the amprenavir dose administered and AUC0-
(13), we were able to construct a table that estimates the
dose of amprenavir for subjects with a given Child-Pugh score required to obtain AUC levels comparable to those obtained with a 1,200-mg dose
administered to a subject without liver disease. Mean baseline total
bilirubin concentrations were significantly correlated with AUC values,
suggesting that it may be possible to use bilirubin concentration to
predict the initial dose of amprenavir appropriate for a patient with
liver disease. This relationship suggests that there may be common
transport mechanisms (e.g., p-glycoprotein) or metabolic pathways that
involve both amprenavir and bilirubin.
As would be expected, the total clearance of amprenavir was reduced in
subjects with hepatic impairment, consistent with a decrease in unbound
(intrinsic) clearance from a loss of hepatic CYP3A4. Consistent with
another clinical study of subjects with liver disease (Stellrecht et
al., 3rd Conf. Retroviruses and Opportunistic Infections), there was
also a decrease in the serum AAG concentrations. By itself, the
decrease in AAG would result in a decrease in the total drug
concentration in plasma and therefore an apparent increase in the total
clearance. However, the opposite trend was observed. The percentage of
unbound drug would vary inversely with the AAG concentration, although
the absolute free drug concentrations would not be affected in the
absence of a change in intrinsic clearance (12). These data
therefore indicate that the decrease in intrinsic clearance outweighs
the decrease in AAG concentrations with regard to its effect on the
apparent clearance of total drug.
In summary, results from this study indicate that the dosing should be
reduced in subjects with liver disease to obtain plasma amprenavir
levels comparable to those achieved in healthy subjects given a
1,200-mg oral dose twice daily. For subjects with moderate cirrhosis
and Child-Pugh scores of 5 to 8, the equivalent dose of amprenavir is
estimated to be 450 mg twice daily. For subjects with severe cirrhosis
and Child-Pugh scores of 9 to 15, the equivalent dose of amprenavir is
estimated to be 300 mg twice daily.
 |
ACKNOWLEDGMENTS |
We gratefully acknowledge Cindy Rawls for performing the
bioanalytical work and Barbara Rutledge and Belinda Ha for manuscript and writing assistance. We also gratefully acknowledge the subjects who
participated in the study.
 |
FOOTNOTES |
*
Corresponding author. Mailing address: Department of
Clinical Pharmacology, Laboratoire Glaxo Wellcome, 78163 Marly-le-Roi, France. E-mail: lv48262{at}glaxowellcome.co.uk.
 |
REFERENCES |
| 1.
|
Akaike, H.
1978.
A Bayesian analysis of the minimum AIC procedure.
Ann. Inst. Statist. Math.
30:9-14[CrossRef].
|
| 2.
|
Barry, M.,
S. Gibbons,
D. Back, and F. Mulcahy.
1997.
Protease inhibitors in subjects with HIV disease: clinically important pharmacokinetic considerations.
Clin. Pharmacokinet.
32:194-209[Medline].
|
| 3.
|
Benet, L. Z.,
D. L. Kroetz, and L. B. Sheiner.
1996.
Pharmacokinetics. The dynamics of dual absorption, distribution and elimination, p. 15.
In
J. G. Hardman, L. E. Linbird, P. B. Mobinoff, R. W. Ruddon, and A. G. Gilman (ed.), The pharmacological basis of therapeutics. McGraw-Hill Book Co., New York, N.Y.
|
| 4.
|
Bilello, J. A.,
P. A. Bilello,
M. Prichard,
T. Robins, and G. L. Drusano.
1995.
Reduction of the in vitro activity of A77003, an inhibitor of human immunodeficiency virus protease, by human serum 1 acid glycoprotein.
J. Infect. Dis.
171:546-551[Medline].
|
| 5.
|
Bilello, J. A.,
P. A. Bilello,
K. Stellrecht,
J. Leonard,
D. W. Norbeck,
D. J. Kempf,
T. Robins, and G. L. Drusano.
1996.
Human serum 1 acid glycoprotein reduces uptake, intracellular concentration, and antiviral activity of A-80987, an inhibitor of the human immunodeficiency virus type 1 protease.
Antimicrob. Agents Chemother.
40:1491-1497[Abstract].
|
| 6.
|
Cockcroft, D. W., and M. H. Gault.
1976.
Prediction of creatinine clearance from serum creatinine.
Nephron
16:31-41[Medline].
|
| 7.
|
Decker, C. J.,
L. M. Laitinen,
G. W. Bridson,
S. A. Raybuck,
R. D. Tung, and P. R. Chaturvedi.
1998.
Metabolism of amprenavir in liver microsomes: role of CYP3A4 inhibition for drug interactions.
J. Pharm. Sci.
87:803-807[CrossRef][Medline].
|
| 8.
|
Kageyama, S.,
B. D. Anderson,
B. L. Hoesterey,
H. Hayashi,
Y. Kiso,
K. P. Flora, and H. Mitsuya.
1994.
Protein binding of human immunodeficiency virus protease inhibitor KN1-272 and alteration of its in vitro antiretroviral activity in the presence of high concentrations of proteins.
Antimicrob. Agents Chemother.
38:1107-1111[Abstract/Free Full Text].
|
| 9.
|
Kremer, J. M. H.,
J. Wilting, and L. H. M. Janssen.
1988.
Drug binding to human alpha-1 glycoprotein in health and disease.
Pharmacol. Rev.
40:1-47[Medline].
|
| 10.
|
Lazdins, J. K.,
J. Mestan,
G. Goutte,
M. R. Walker,
G. Bold,
G. Capraro, and T. Klimkait.
1997.
In vitro effect of 1 acid glycoprotein on the anti-human immunodeficiency virus (HIV) activity of the protease inhibitor CGP 61755: a comparative study with other relevant HIV protease inhibitors.
J. Infect. Dis.
175:1063-1070[Medline].
|
| 11.
|
Pugh, R. N. H.,
I. M. Murray-Lyon,
J. L. Dawson,
M. C. Pietroni, and R. Williams.
1973.
Transection of the oesophagus for bleeding oesophageal varices.
Br. J. Surg.
60:646-649[Medline].
|
| 12.
|
Rolan, P. E.
1994.
Plasma protein binding displacement interactions why are they still regarded as clinically important.
Br. J. Clin. Pharmacol.
37:125-128[Medline].
|
| 13.
|
Sadler, B. M.,
C. D. Hanson,
G. C. Chittick,
W. T. Symonds, and N. S. Roskell.
1999.
Safety and pharmacokinetics of amprenavir (141W94), an human immunodeficiency virus (HIV) type 1 protease inhibitor, following oral administration of single doses to HIV-infected adults.
Antimicrob. Agents Chemother.
43:1686-1692[Abstract/Free Full Text].
|
| 14.
|
Smith, A., and S. V. Givens.
1993.
Dealing with and defining abnormalities in laboratory data.
Drug Infect. J.
27:771-778.
|
| 15.
|
St. Clair, M. H.,
J. Millard,
J. Rooney,
M. Tisdale,
N. Parry,
B. M. Sadler,
M. R. Blum, and G. Painter.
1996.
In vitro antiviral activity of 141W94 (VX-478) in combination with other antiretroviral agents.
Antivir. Res.
29:53-56[CrossRef][Medline].
|
Antimicrobial Agents and Chemotherapy, April 2000, p. 821-826, Vol. 44, No. 4
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Copyright © 2000, American Society for Microbiology. All rights reserved.
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