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Antimicrobial Agents and Chemotherapy, March 2000, p. 697-704, Vol. 44, No. 3
0066-4804/00/$04.00+0
Copyright © 2000, American Society for Microbiology. All rights reserved.
Pharmacokinetics and Pharmacodynamics
of Lumefantrine (Benflumetol) in Acute Falciparum Malaria
F.
Ezzet,1
M.
van Vugt,2,3
F.
Nosten,2,4,5,6
S.
Looareesuwan,4,5 and
N. J.
White4,5,6,*
Novartis Pharma AG, Basel,
Switzerland1; Shoklo Malaria Research
Unit, Mae Sot, Tak Province,2 and
Hospital for Tropical Diseases4 and
Department of Clinical Tropical Medicine, Faculty of Tropical
Medicine, Mahidol University,5 Bangkok,
Thailand; Division of Infectious Diseases, Tropical Medicine,
and AIDS, Academic Medical Centre, University of Amsterdam, Amsterdam,
The Netherlands3; and Centre for
Tropical Medicine, Nuffield Department of Clinical Medicine, John
Radcliffe Hospital, Headington, Oxford, United
Kingdom6
Received 3 November 1998/Returned for modification 11 August
1999/Accepted 1 December 1999
 |
ABSTRACT |
The objective of this study was to conduct a prospective population
pharmacokinetic and pharmacodynamic evaluation of lumefantrine during
blinded comparisons of artemether-lumefantrine treatment regimens in
uncomplicated multidrug-resistant falciparum malaria. Three combination
regimens containing an average adult lumefantrine dose of 1,920 mg over
3 days (four doses) (regimen A) or 2,780 mg over 3 or 5 days (six
doses) (regimen B or C, respectively) were given to 266 Thai patients.
Detailed observations were obtained for 51 hospitalized adults, and
sparse data were collected for 215 patients of all ages in a community
setting. The population absorption half-life of lumefantrine was
4.5 h. The model-based median (5th and 95th percentiles) peak
plasma lumefantrine concentrations were 6.2 (0.25 and 14.8) µg/ml
after regimen A, 9.0 (1.1 and 19.8) µg/ml after regimen B, and 8 (1.4 and 17.4) µg/ml after regimen C. During acute malaria, there was
marked variability in the fraction of drug absorbed by patients
(coefficient of variation, 150%). The fraction increased considerably
and variability fell with clinical recovery, largely because food
intake was resumed; taking a normal meal close to drug administration
increased oral bioavailability by 108% (90% confidence interval, 64 to 164) (P, 0.0001). The higher-dose regimens (B and C)
gave 60 and 100% higher areas under the concentration-time curves
(AUC), respectively, and thus longer durations for which plasma
lumefantrine concentrations exceeded the putative in vivo MIC of 280 µg/ml (median for regimen B, 252 h; that for regimen C, 298 h; that for regimen A, 204 h [P, 0.0001]) and higher
cure rates. Lumefantrine oral bioavailability is very dependent on food
and is consequently poor in acute malaria but improves markedly with
recovery. The high cure rates with the two six-dose regimens resulted
from increased AUC and increased time at which lumefantrine
concentrations were above the in vivo MIC.
 |
INTRODUCTION |
The combination of the artemisinin
derivative artemether and lumefantrine (previously called benflumetol)
in a 1:6 ratio is a new, effective, and well-tolerated antimalarial
therapy (12). Trials, first in China (where the drugs were
discovered) and subsequently in Asia and Africa, have shown that this
combination is active even against multidrug-resistant falciparum
malaria and is associated with no serious toxicity. Lumefantrine was
synthesized originally by the Academy of Military Medical
Sciences in Beijing, China. It is a racemic fluorene derivative with
the chemical name
2-dibutylamino-1-[2,7-dichloro-9-(4-chlorobenzylidene)-9H-fluoren-4-yl]-ethanol. It
conforms structurally, physicochemically, and in mode of action to the
aryl amino alcohol group of antimalarial agents including quinine,
mefloquine, and halofantrine. Preliminary studies of the
pharmacokinetic properties of lumefantrine are reminiscent of those of
halofantrine (7), with variable oral bioavailability (augmented considerably by fats), a large apparent volume of
distribution, and a terminal elimination half-life for malaria
estimated initially at approximately 4 to 5 days (3). A
four-dose regimen of artemether-lumefantrine has proved highly
effective in studies conducted in Africa, India, and China, but
in Thailand, which harbors the most drug-resistant Plasmodium
falciparum in the world, cure rates were inferior to those seen
with the 3-day artesunate-mefloquine combination (12). Previous studies had suggested that the area under the plasma lumefantrine concentration-time curve was the principal determinant of
cure, and it was predicted that an increase in dose should improve efficacy (3). These earlier studies also suggested an increase in oral bioavailability with time but were confined to only
four dose schedules.
Blind dose optimization trials to test these predictions were therefore
conducted; patients with acute uncomplicated multidrug-resistant falciparum malaria were randomized to receive one of two six-dose regimens of artemether-lumefantrine or the conventional four-dose regimen (14). This study combined a conventional inpatient
pharmacokinetic study of adults with a population-based community study
of patients of all ages and in whom recently validated capillary blood
sampling was used (13). The objective of the pharmacokinetic
investigation was to characterize the factors which affect blood
lumefantrine concentrations and thus the therapeutic response. The
higher-dose regimens were designed to provide more sustained blood
lumefantrine levels and thereby improve cure rates in patients
receiving six-dose schedules.
 |
MATERIALS AND METHODS |
This study took place between September 1996 and February 1997 in two locations: the Hospital for Tropical Diseases in Bangkok, Thailand, and the malaria research facility at Mae La, a camp for
displaced persons of the Karen ethnic minority located on the western
border of Thailand. Patients were recruited for the study if they had
acute symptomatic uncomplicated falciparum malaria, were more than 2 years old (in Bangkok, only adults were recruited), and had received no
artemisinin derivatives within the previous 7 days. Pregnant women and
patients with signs of severe malaria were excluded. All patients or
their attendant guardians or relatives gave fully informed consent. The
clinical results of this study will be published elsewhere. This study
was approved by the Ethical and Scientific Committees of the Faculty of
Tropical Medicine, Mahidol University, and the Karen Refugee Committee.
Procedures.
Patients were enrolled after a thin or thick
blood smear showed asexual forms of P. falciparum. On
enrollment, a full clinical examination was performed and a blood
sample was taken for hematocrit and quantitative parasite count
determinations. Artemether-lumefantrine was dispensed as a fixed-dose
combination tablet as described previously (12). Each tablet
contained 20 mg of artemether and 120 mg of lumefantrine. The minimum
dosage for patients weighing less than 15 kg was one tablet per dose;
for adults weighing more than 35 kg, four tablets per dose were given.
This study was a double-blind comparison of three dose regimens, A, B,
and C. Regimen A was a four-dose regimen given at 0, 8, 24, and 48 h, regimen B was a six-dose regimen given over 3 days at 0, 8, 24, 36, 48, and 60 h, and regimen C was another six-dose regimen given
over 5 days at 0, 8, 24, 48, 72, and 96 h. The exact time for each
dose was recorded on the case report form. Drug administration was
observed in all cases. If the first dose was vomited during the first
hour after intake, the whole dose was repeated. All patients received
either active drug or placebo such that the tablet numbers were the
same and neither the patient nor the investigators were aware of the
randomization. Hospitalized patients (Bangkok) received the drugs at
times that were documented precisely; therefore, the approximate
intervals between drug administration and food intake were known.
Community-based patients (Mae La) were asked about meals, so the time
interval and the caloric content estimates were less precise. Meal
times were not altered prospectively for this study. Patients were seen daily for recording of temperature, subjective adverse effects, and a
neurologic examination. All patients were seen daily for 5 days and
were then seen on days 7, 14, 21, 28, 35, 42, 49, 56, and 63.
Recrudescent infections were documented as infections which recurred
within the period of observation. In order to distinguish
recrudescent
from newly acquired infections, the parasite genotypes
of the admission
and recrudescent isolates were compared using
a validated PCR method as
described previously (
1). Recrudescence
was defined as a
pair of identical
genotypes.
Pharmacokinetics.
In Bangkok, samples of venous blood (7 ml)
were obtained. Blood was withdrawn by venipuncture into heparinized
tubes and centrifuged without delay at 1,000 × g for
15 min. The plasma was transferred immediately into polypropylene tubes
and stored at
70°C until shipment to Basel. In order to
characterize the lumefantrine concentration profile accurately for the
different regimens while maintaining the blind aspect of the study,
each treatment was dispensed with a predefined printed plasma sampling
schedule as follows: regimen A
baseline and 4, 8, 24, 28, 32, 44, 48, 60, 72, 80, 120, 168, and 240 h; regimen B
baseline and 8, 24, 36, 44, 48, 60, 64, 72, 96, 108, 120, 168, and 240 h; and regimen C
baseline and 8, 24, 32, 48, 52, 64, 72, 80, 96, 108, 120, 168, and
240 h. Deviations from the above sampling times of ±1 h were
allowed. Persons taking the blood samples were not involved in patient management.
At Mae La, only five items of data were collected; up to four capillary
blood samples were taken from all patients on days
4, 5, 6, 7, and 8 for the evaluation of lumefantrine concentrations.
Additionally, from a
subset of 26 patients, 91 pairs of capillary
and venous blood samples
were collected to test for differences
in concentration due to the
method of blood sampling (
13). Venous
blood samples of 4 ml
each were withdrawn by venipuncture into
heparinized tubes and
centrifuged without delay at 1,000 ×
g for
15 min. The
plasma was transferred immediately into polypropylene
tubes and stored
at

70°C until
shipment.
Plasma lumefantrine assay.
Lumefantrine in plasma was
measured by a high-pressure liquid chromatography method with UV
detection (19). The following minor modifications in the
procedure were made: the extracts were centrifuged prior to injection,
and the UV wavelength was fixed at 335 nm instead of 215 nm. For
plasma, interassay coefficients of variation (CV) for prepared plasma
samples at lumefantrine concentrations of 57, 83, 138, 220, 608, 1,223, 2,000, and 2,340 ng/ml were 21.1, 10.3, 3.2, 7.2, 4.8, 4.6, 4, and
3.7%, respectively. The lower limit of quantification was therefore
set to 57 ng/ml of blood sample. For capillary measurements, interassay
CV at concentrations of 35, 195, 578, and 1,185 ng/ml were 19, 16, 10, and 9%, respectively. The lower limit of quantification was therefore set to 35 ng/ml.
Pharmacokinetic modeling.
As sampling schedules differed
and, in the community study, only sparse data were available, a
population approach to pharmacokinetic modeling was taken. This
approach helped to characterize the pharmacokinetics for patients who
were only sparsely sampled and, more importantly, to explore
pharmacokinetic relationships with the therapeutic response.
Pharmacokinetic modeling was carried out using NLME, a nonlinear
mixed-effect algorithm, part of the statistical package S-plus
(Mathsoft, version 3.4 for Unix supplement; Data Analysis Products
Division, Mathsoft, Seattle, Wash.). This function uses the same
estimation methodology (FOCE) as the widely used NONMEM system
(Mathsoft) and also provides individual parameter estimates similar
to
the so-called post hoc estimates (
3,
6; Mathsoft).
Characterization
of the pharmacokinetics of lumefantrine was carried
out as follows.
A two-compartment model (
4) was fitted to
the venous concentration
data provided from patients at the Bangkok
hospital. The model
was refitted and modified by adding the less
frequently sampled
capillary concentration data provided from patients
at the Mae
La clinic. Pooling of capillary and venous blood sample data
was
considered appropriate, as there is no significant difference
between capillary lumefantrine and venous lumefantrine concentrations
(
13).
The effects of the demographic and clinical characteristics and the
measures of disease status (e.g., parasite count at baseline)
on the
pharmacokinetic parameters of the fitted model were then
explored. A
lag time of 2 h between oral administration and the
onset of
absorption was assumed in the estimation of the rate
of absorption of
lumefantrine (
3). This estimate of lag time
was obtained
from previous studies of acute malaria which provided
more frequent
concentration data during the absorption phase (
3).
The
sampling schedule was biased toward the characterization of
area under
the curve (AUC) rather than absorption rate. Plasma
concentrations were
modeled as
Cj(
t) =
Cpred,j(
t) +
j(
t),
where
Cj(
t) and
Cpred,j(
t) are the measured and
predicted
concentrations for the
jth patient at
time
t, respectively. The intrapatient variability
in plasma
drug concentrations, including measurement and assay
error
j(
t), was assumed to come from a normal
distribution
(with a mean of 0 and a variance of

2). The interpatient variability in the
pharmacokinetic parameters
was modeled as a proportionality term. For
instance, clearance
(CL) for the
jth patient was
defined as CL
j = CL × exp(
j,CL).
CL, as a fixed effect, is the
population median estimate, and
exp(
j,CL) is
the deviation from the population of CL
for the
jth patient. Random effects
j,CL were assumed to come from
a normal
distribution (with a mean of 0 and a variance of
CL2). The interpatient CV in CL is thus approximated
by the estimate
of
CL. Patient characteristics, e.g.,
body weight (BWT), as a
fixed effect, were incorporated in the model
for CL as CL
j = [CL +

(BWT)] × exp(
j,CL), where

is the coefficient
of
BWT. Observed BWT and the other continuous covariates were
centered by
their median values so that the population estimates
would represent
those of an average patient. The interpatient
variability (

) values
for the different parameters were assumed
to be independent of each
other.
Since volume of distribution of the central compartment (
V)
and the bioavailability fraction (
F) cannot be estimated
simultaneously,
F1 (fraction of the first dose
absorbed) was fixed at one to allow
estimation of the relative volume
(
V/
f). The
F values of the subsequent
doses
(
F2, ... ,
Fn), where
n = 8, could then be estimated relative
to
F1 in order to estimate changes in
bioavailability over time,
assuming a constant
V.
F1,
F2,
F3, and
F5 are
common for all dose
regimens.
F4 and
F6 are specific for regimen B, and
F7 and
F8 are specific
for regimen C. Under this parameter specification,
the estimated
interpatient variability in
F1 is the combined
variabilities
in
F1 and in
V. The
terminal slope,

, and the rate constant for
transfer from the
peripheral compartment to the central compartment,
K21, did not vary significantly between
patients; therefore, their
variance terms,

2 and
K212, respectively, were set at
zero.
The statistical significance of subject demographics and disease status
(i.e., parasite density) were first examined by plotting
the

values
of each pharmacokinetic parameter against each covariate.
If a pattern
was suspected, then the covariate was included in
the pharmacokinetic
model and tested formally using the likelihood
ratio test. A new model
was preferred over another if the change
in

2 log likelihood was
greater than

;
2, where

(=0.05) is the
significance level and

is the number
of additional parameters in
the new model. Models with different
covariance structures, e.g.,
having different numbers of random
effects, were compared using
Akaike's information criterion. A
model having a smaller value for
Akaike's information criterion
was considered better. Distribution
assumptions were examined
for validity using normality tests and
graphic methods. Model
goodness of fit was assessed using analysis of
residuals.
Data on food intake from 51 patients at the Bangkok hospital were
analyzed to assess the influence of food on the pharmacokinetics
of
lumefantrine. The type of food intake was recorded prospectively
as
either none, liquids only (zero fat), light meal (500 calories,
10 g of fat), or normal meal (estimate of 1,000 calories, 20 g
of
fat). The exact time of food intake was not recorded, but information
was available on the size and content and whether the meal or
drink was
taken before dosing. Using the estimated
F1 to
F8, a
linear mixed-effect model was fitted using
the procedure MIXED
of the SAS statistical package (SAS Institute Inc.,
Cary, N.C.).
The vector for
F1 to
F8 was used as the response variable, the
type
of food was used as the main fixed effect, and patient identification
number was used as a random
effect.
EKG correlates.
For the 51 adult patients in Bangkok, EKG
recordings were taken prior to treatment and at 3, 4, 5, 8, and 29 days
after treatment. Standard EKG intervals were recorded automatically at
a paper speed of 50 mm/s, with manual checking of machine estimates
(14a). The Q-T interval was corrected (QTc) using Bazett's
formula: QTc = QT/RR0.5. Repeated QTc measures as the
response variables were evaluated using a linear mixed-effect model.
The effects of age, gender, BWT, initial parasite count, baseline QTc,
heart rate, day of EKG recording, and log lumefantrine concentration
were considered fixed, while patient effect was considered random.
Three models (I, II, and III) were compared. They all included the
variables QTc at baseline, heart rate, age, and center. However, in
addition, model I included the variable day of EKG recording, model II
included the variable plasma lumefantrine concentration, and model III included both variables. Variables on the continuous scale were centered by their median values before analysis. A total of 238 observations were available for evaluation. QTc data on day 4 were also
evaluated using a fixed-effect model (without patient effect) with
model-based estimated lumefantrine concentration or log AUC (from
baseline until the zero time of the EKG recording) as the main
independent variable. This procedure was done to take into account any
possible cumulative effect of changes in plasma drug concentrations and
pharmacodynamic effect or any asynchrony between them. These data are
included in a larger series examining possible cardiac effects of
lumefantrine to be reported elsewhere (van Vugt et al., Am. J. Trop. Med. Hyg., in press).
 |
RESULTS |
Clinical response.
In total, 266 patients were recruited for
the pharmacokinetic studies (51 adults in Bangkok and 215 patients of
all ages in Mae La). There were 15 children ranging in age from 6 to 12 years. Full clinical and laboratory details and the therapeutic
response are presented in detail elsewhere (14). All
patients made an uncomplicated recovery from their malaria infection.
Treatment with artemether-lumefantrine was very well tolerated, and
there were no serious drug-attributable adverse effects. The median (25th to 75th percentile) parasite clearance times were the same in
each of the three treatment groups: 44 h (26 to 53 h). The median fever clearance times were 37 (27 to 55) h in Bangkok and 21 (20 to 43) h in Mae La (P, <0.001) but were not significantly different among the three treatment groups. Thus, the acute responses to treatment were very similar in the three treatment groups. Overall
cure rates, adjusted for reinfection by PCR parasite genotyping and
assessed at 28 days, were 83% in the four-dose regimen and 97 and 99%
in the two high-dose regimens (P, <0.01).
Dosing.
Dosing in Bangkok was done according to a fixed
schedule, i.e., ideally at 0, 8, 24, 36, 48, 60, 72, and 96 h from
the start of treatment, but this schedule was adapted to avoid
disrupting nursing schedules. Median clock times were 14, 19, 14, 04, 14, 04, 14, and 14 h, respectively. Median dosing times from the
start of treatment in Mae La were 0, 8, 20, 27, 44, 51, 68, and 92 h. Median clock times were 13, 21, 09, 16, 09, 16, 09, and 09 h, respectively. Exact actual dosing times were noted.
Pharmacokinetics.
Approximately 14 venous samples per patient
were obtained from 51 patients in Bangkok (16, 18, and 17 in regimens
A, B, and C, respectively), giving a total of 655 samples (excluding
baseline samples). At Mae La, approximately four capillary samples per patient were obtained from 215 patients (74, 72, and 69 in regimens A,
B, and C, respectively), giving a total of 793 samples. The capillary
samples were collected at approximately 69 h (n = 212), 93 h (n = 209), 116 h
(n = 104), 140 h (n = 91), and
165 h (n = 170) and at other unscheduled times
(n = 7). The final pharmacokinetic model selected is
shown in Table 1; this is a
two-compartment open model with first-order absorption and with
elimination from the central compartment. Figure
1 shows two plots of the model-based median population profile for the three dose regimens at Bangkok and
Mae La. To demonstrate goodness of fit, Fig.
2 shows a plot of the model (median)
profile for regimen B at Bangkok, superimposed on a box plot (minimum,
lower quartile, median, upper quartile, and maximum) of the observed
lumefantrine concentrations. Residual plots (not provided) indicated
that there was no bias in estimation and that patient-specific profiles
were characterized adequately (data not shown).
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TABLE 1.
Lumefantrine parameter estimates of the pharmacokinetic
model derived from 266 Thai patients with acute falciparum malaria
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FIG. 1.
Model-based median population profile of plasma
lumefantrine concentrations for regimens A (four doses of four tablets)
(solid line), B (six doses of four tablets, 60 h) (dotted line),
and C (six doses of four tablets, 96 h) (dashed line). Four
tablets equalled 80 mg of artemether and 480 mg of lumefantrine. (a)
Bangkok (16, 18, and 17 patients for regimens A, B, and C,
respectively). (b) Mae La (74, 72, and 69 patients for regimens A, B,
and C, respectively).
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FIG. 2.
Model-based median population profile of plasma
lumefantrine concentrations for regimen B (six doses of four tablets,
60 h), superimposed on a box plot (minimum, lower quartile,
median, upper quartile, and maximum) of the observed plasma drug
concentrations derived from frequent sampling (dense data) in 18 patients to illustrate goodness of fit.
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The population absorption half-life of lumefantrine was 4.5 h
(90% confidence interval [CI], 3.5 to 4.9). Peak plasma lumefantrine
concentrations varied considerably. The model-based median (lower
and
upper 5th percentiles) maximum plasma drug concentrations
for the three
dose regimens were 6.2 µg/ml (0.25 and 14.8) for
regimen A, 9.0 µg/ml (1.1 and 19.8) for regimen B, and 8.0 µg/ml
(1.4 and 17.4)
for regimen C. The corresponding median (lower
and upper 5th
percentiles) times to maximum plasma drug concentrations
were estimated
to be 50 h (29 and 66), 54 h (41 and 66), and 53
h (26 and 114) following the first dose. The estimated distribution
(

)
half-life was 6.1 h (90% CI, 5.2 to 7.4), and the terminal
(

)
elimination half-life was 3.2 days (90% CI, 2.6 to 4.1). The
interpatient variability in first-order absorption rate constant
(
Ka,), CL, and
F values in the acute
phase of the disease was
high. The variability in
F declined
with subsequent doses, such
that the CV for
F1
was 150% while those for
F6,
F7,
and
F8 were
about 50%. Compared to
F1,
F2 (8 h) and
F4, (36 h) fell by 50%.
Apparent
bioavailability increased at other doses, rising by 50%
for
F3 (24 h) and by 154% for
F5 (48 h).
F6 (60 h),
F7 (72 h),
and
F8 (96 h)
were found to differ between the two centers.
F6 was similar to
F1 in Bangkok, but it was 68%
higher in Mae La.
Compared to
F1,
F7
and
F8 were 110% higher in Mae La and 200%
higher in Bangkok. Because the
F values for each patient
changed
considerably over time, accurate individual and thus population
estimates of oral CL and
V could not be
obtained.
Using patient estimates derived from the study in Bangkok, where more
detailed sampling was undertaken, we found that increasing
baseline
parasite counts were associated with progressive decreases
in
F1,
F2,
F3, and
F4 but not in
F5 to
F8 (Fig.
3). For
example,
a parasite count of 26,000/µl was associated with an
F1 20% lower
than a count of 13,000/µl, the
median count in this group. The
decreases in
F2,
F3, and
F4 were 15, 10, and
10%, respectively.
A similar effect on
F1 was
observed for baseline body temperature
(Fig.
4). Based on estimates from all patients,
age, BWT, and
gender had no effects on any of the main pharmacokinetic
parameters
(
Ka, CL, or
F1
to
F8); for example, Fig.
5 plots the interpatient
deviation in
estimated CL against age.

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FIG. 3.
Relationship between the interpatient deviation ( ) in
F1 and the log parasite count on admission.
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AUC.
Based on the population estimated pharmacokinetic model
and patient-specific deviations from it, AUC0-
was
calculated for each individual dose and for all doses combined. The
correlation estimates indicated that AUC varied substantially within
each patient for the initial doses (1, 2, and 3) but that this
variation decreased with subsequent doses. The correlations
(r) were 0.13 between doses 2 and 3 and 0.56 between doses 3 and 5 and rose to 0.87 for doses 7 and 8. Thus, the substantial
intrapatient variability in the fraction of the drug absorbed in the
acute phase of the disease declined with recovery. Median AUC (lower and upper 5th percentiles) for regimens A, B, and C were estimated to
be 356 (215 and 973), 561 (231 and 1,668), and 712 (393 and 1,560)
ng/ml/h, respectively. These values correspond to approximately 60 and
100% higher bioavailabilities with regimens B and C, respectively, than with regimen A.
Effect of food intake on the pharmacokinetics of lumefantrine.
The estimated mean increase in oral bioavailability as a result of
taking a light meal close to the time of drug intake (i.e., within
1 h before or after) was 48% (P, 0.007) (90% CI, 16 to 84); for a normal meal, this value was 108% (P, 0.0001)
(90% CI, 64 to 164) compared with taking liquids alone. A normal meal
was associated with a 42% (90% CI, 17 to 72) increase in
bioavailability compared with a light meal (P, 0.003). After
24 to 48 h of treatment, the majority of patients were eating
normally; two-thirds of the meals were of the normal type. Thus, most
patients contributed data to all four food effect possibilities. The
estimated increase in oral bioavailability of the first dose in
patients who took a normal meal (n = 13) compared to
patients who took liquids only (n = 24) was 336%
(P, 0.0001) (90% CI, 156 to 640).
Time until plasma lumefantrine concentrations fell below 280 ng/ml.
In an earlier dose range study, in which lower doses of
artemether-lumefantrine were used, a plasma lumefantrine concentration of 280 ng/ml 7 days from the start of treatment was found to provide a
useful cutoff value for determining the risk of therapeutic failure
(i.e. recrudescence) (3). In that study, 75% of patients with day 7 lumefantrine levels higher than this threshold were cured,
compared to only 51% of patients with lower lumefantrine levels.
Further modeling of predicted parasite CL profiles (F. Ezzet and
N. J. White, unpublished observations) also suggests that this
total plasma lumefantrine concentration may be close to the in vivo
MIC. Thus, the longer the time before plasma lumefantrine concentrations fall below this value, the less likely the chance of
recrudescence. In this study, the median times required for plasma
lumefantrine concentrations to fall below 280 ng/ml were estimated to
be 204, 252, and 298 h for regimens A, B, and C, respectively
(P, 0.0001). Figure 6 plots
baseline (log) parasite count against time (hours) for which the plasma
lumefantrine concentration exceeded 280 ng/ml. Twelve out of the 15 cases of recrudescence occurred in patients with the highest baseline
parasite counts and shortest times to fall below the cutoff point.

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FIG. 6.
Relationship between the log parasite count on admission
and the time to fall below a plasma lumefantrine concentration of 280 ng/ml. Horizontal line, median log parasite count; vertical line,
median time to reach 280 ng/ml. The closed circles represent patients
whose infections subsequently recrudesced, and the open squares
represent patients who were treated successfully.
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EKG findings (effects on QTc).
QTc was estimated to have
median (standard deviation) values of 418 (30) ms at baseline, 410 (31)
ms at 52 h, 417 (26) ms at 76 h, 413 (23) ms at 100 h,
408 (22) ms at 163 h, and 412 (20) ms at 667 h after the
start of treatment. A series of mixed-effect models were fitted to the
data as described above. Baseline QTc, heart rate, BWT, and day of
electrocardiogram were all found to have a statistically significant
effect on QTc, but plasma lumefantrine concentrations did not,
indicating that plasma lumefantrine concentrations do not correlate
with QTc. The results of the fit of model 1 are shown in Table
2 (model 2 proved inferior [P,
0.0003]), and model 3 was not significantly different from model
1 [P, 0.065]). The variables age, gender, and dose regimen
were also found not to be significant contributors. QTc at baseline and
heart rate correlated positively with QTc, indicating inadequate rate
correction with Bazett's formula, while BWT correlated negatively. The
estimates derived from this model gave the multiplication factor for
every unit increase, e.g., 0.63-ms increase in QTc for an increase in heart rate of one beat per minute. The model gave an estimated increase
in QTc of about 10 ms on day 4. The QTc data on day 4 (49 patient
observations) were examined to test for differences in QTc as a result
of differences in plasma lumefantrine concentrations. Plasma
lumefantrine concentrations and the lumefantrine AUC were found to have
no effect on QTc (P, 0.9), while the effects of QTc at
baseline, heart rate, and BWT were found to be similar to those in the
best-fit model. Since measured plasma drug concentrations were not
available for every QTc value recorded, predicted lumefantrine concentrations were obtained. Figure 7
provides a scatter plot of QTc against the predictions. Taken together,
these data all indicate that lumefantrine does not prolong QTc. Further
data on the relationship between QTc and plasma lumefantrine
concentrations in a larger series are presented elsewhere (van Vugt et
al., Am. J. Trop. Med. Hyg., in press).

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|
FIG. 7.
Relationship between the EKG QTc and the estimated
plasma lumefantrine concentrations on days 3 to 29. Horizontal line,
median QTc.
|
|
Adverse experiences.
Potential adverse drug effects for 51 patients (Bangkok) were examined. Since regimens A, B, and C were of
different durations, namely, 48, 60, and 96 h, respectively,
potential adverse drug effects that started between days 2 and 4, 2 and
5, and 2 and 6, respectively, were considered for analysis.
Artemether-lumefantrine was remarkably well tolerated. Only 13 potential adverse drug effects in total were reported by these
patients; all were mild, and only 6 involved the nervous (headache,
dizziness) or gastrointestinal (nausea, abdominal discomfort) system.
These complaints are common in malaria irrespective of treatment and
could not be related to plasma drug concentrations.
 |
DISCUSSION |
The fixed combination of artemisinin and lumefantrine achieves its
antimalarial effect through the sequential large initial reduction in
parasite biomass by artemether and the subsequent removal of all of the
remaining viable parasites by the intrinsically less active but more
slowly eliminated lumefantrine (17, 18). Artemether probably
achieves fractional parasite biomass reduction of up to 104
per cycle, so treatment regimens involving 5 days of artemether cover
three asexual cycles and leave relatively few viable parasites for
lumefantrine to remove (17). The combination also provides mutual protection of the two antimalarial drugs from the development of
resistance, as parasites are never exposed to artemether alone and
relatively few are exposed to lumefantrine unprotected by the
artemisinin derivative (18). In clinical practice, the
combination is well tolerated and rapidly and reliably effective.
However, overall cure depends on the presence of sufficient
lumefantrine to remove the residual parasite biomass left by
artemether, and this in turn depends on adequate oral bioavailability.
The oral bioavailability of lumefantrine varies considerably between
individual doses and between patients and is reduced significantly in
the acute phase of malaria. This large intrapatient variability in the
fraction of drug absorbed between doses confounds estimation of
conventional pharmacokinetic parameters such as CL and apparent
V. The reduction in oral bioavailability may result either
from disease-induced changes in the intestinal absorption of this
poorly water-soluble drug (8) or from the lack of
concomitant food intake and therefore the absence of fats, which have
been shown to augment oral bioavailability significantly. Lumefantrine is a highly lipophilic substance; oral bioavailability increases substantially if the drug is administered after a meal rich in fat. In
an earlier volunteer trial, this increase was estimated to be
approximately 16-fold (M. Bindschedler, P. Degen, Z. L. Lu, et
al., Abstr. XIV Int. Congress Trop. Med. Malaria, Nagasaki, Japan,
1996). Therefore, the differences in overall availability between
patients and between doses could be explained largely by differences in
food intake and the type of food taken. Patients with acute malaria are
reluctant to eat and often vomit. The more severe the infection, the
less likely it is that the patient will eat, and the longer will be the
period of fasting. This situation compromises the efficacy of poorly
absorbed drugs, although the administration of other poorly
bioavailable compounds, such as halofantrine, together with fats has
been feasible in clinical practice (11). Indeed, in phase
III studies of atovaquone-proguanil (atovaquone is another poorly
bioavailable, highly lipophilic compound), the drug was always taken
with food or milk (5). Whether this would be an effective
approach for the administration of lumefantrine is not known, although
these data suggest that it would. As patients recover from malaria,
splanchnic blood flow and gut motility return to normal and they begin
to eat normally (8). This both improves lumefantrine
absorption and reduces the variability in oral bioavailability between
doses. Differences in the bioavailability of the final two doses
observed between Bangkok and Mae La samples can be attributed to the
timing of meals; in Bangkok, the drugs were administered shortly after
the midday meal, whereas in Mae La, the drugs were given several hours after the small morning meal.
The consistent therapeutic response to the artemether component of the
antimalarial combination (16, 17) ensures speedy clinical
recovery and thus rapid improvement in lumefantrine absorption. As a
consequence of the poor initial oral bioavailability in acute malaria,
the absorption profiles following the later treatment administrations
become disproportionately important in determining the terminal
elimination profile and thus antiparasitic effect. Previous studies
have shown that the AUC is the principal determinant of antimalarial
activity (3). The importance of the improved absorption in
the recovery period is illustrated by the difference in lumefantrine
AUCs between the 3-day and 5-day regimens. Whereas a 50% increase in
dose given over 3 days gave a corresponding 50% increase in AUC, when
this same higher dose was given over 5 days, the increase in AUC was
nearly 100%. Thus, 5-day treatment regimens with this combination
provide more reliable lumefantrine bioavailability, as at least 3 days
of the treatment course are given with the patient in a recovered
clinical state.
In a previous study (3), a plasma lumefantrine concentration
of 280 ng/ml 7 days from the start of treatment was found to provide a
useful cutoff value for determining the risk of therapeutic failure.
Modeling of parasite clearance kinetics also suggests that this value
lies close to the average in vivo MIC (Ezzet and White, unpublished
observations). The higher-dose regimens in this study increased the
duration for which plasma drug levels remained above this value by
approximately 25% for the 3-day regimen and 50% for the 5-day
regimen. In this trial, the risk of therapeutic failure was related to
baseline parasite count and a rapid fall in lumefantrine concentrations
to below 280 ng/ml. The excellent clinical results obtained with the
higher-dose regimens in clinical trials compared with the lower-dose
3-day regimen probably do result from the increased lumefantrine AUCs
or time for which the MIC is exceeded. However, the increased dose of
artemether given may also contribute. There are few data on oral
artemether dose-response relationships (10, 17), and it
remains possible that 1.3 mg/kg per dose does not give a maximum
parasiticidal effect. However, there is extensive evidence that 5-day
regimens with artemisinin or its derivatives alone give considerably
higher overall cure rates than 3-day regimens. The reasons are that
three asexual life cycles rather than two are affected and parasite biomass is reduced by an additional 10,000-fold. These data argue in
favor of the administration of 5-day regimens to patients with little
or no background immunity both to maximize the benefit from the
artemether component and to provide as wide a margin of safety in
ensuring that plasma lumefantrine levels exceed the MIC for as long as possible.
Artemether-lumefantrine was very well tolerated in this and previous
studies. Indeed, there were no adverse effects that could be ascribed
unequivocally to the drug. The cardiotoxic potential for the aryl amino
alcohol class of antimalarial agents is well known. Marked ventricular
repolarization delay manifested by prolongation of the EKG QTc is
associated with quinidine and halofantrine, a drug which shares a
highly variable and fat-dependent oral bioavailability with
lumefantrine (9). EKG studies in malaria commonly reveal temporal changes in QTc which are variously ascribed to drug or disease
effects (15). These and other data suggest that the rate
correction provided by Bazett's formula does not eliminate the effect
of heart rate completely (R. N. Price and N. J. White, unpublished observations). Empirically, a power constant of between 0.4 and 0.45 instead of 0.5 provides a better correction. However, the
inclusion of heart rate as a covariate in the analysis of the
Bazett-based QTc in a mixed-effects model, as was done here, would
compensate for the inadequacy of the correction. The data in this study
and those of a larger series clearly show that lumefantrine has little
or no effect on ventricular repolarization (14a). Therefore,
there is no a priori reason to withhold this drug from patients with a
long QTc or any other cardiac abnormalities.
In areas of malaria endemicity, background immunity acts in synergy
with antimalarial chemotherapy, and treatment responses (in terms of
cure rates) are always better than those achieved in nonimmune subjects
or in young children (17). The excellent clinical results
obtained with the higher-dose 3-day regimen in this study suggest that
this would be a satisfactory regimen for most areas of endemicity, as
the population studied on the western border of Thailand has relatively
little background immunity compared to the majority of the populations
of the malarious tropics. This is an area of relatively low and
unstable transmission (previously termed an area of hypoendemicity),
and patients have on average one falciparum malaria infection every 2 years. Elsewhere in the tropics, infection rates may range up to two
infectious bites every day, and at high levels of transmission, 3-day
regimens should offer a considerable margin of safety. The overall
plasma lumefantrine concentration profile might be improved further by coadministration of the drug with fats, although this procedure is
unlikely to prove practical in most rural areas of the tropics.
 |
ACKNOWLEDGMENTS |
We are very grateful to all members of the staff of the Bangkok
Hospital for Tropical Diseases and the Shoklo Malaria Research Unit, in
particular, Lucy Phaipun. All antimalarial drugs were provided by
Novartis Pharma AG Limited.
This study was supported by Novartis Pharma AG and was part of the
Wellcome-Mahidol University Oxford Tropical Medicine Research Programme
funded by the Wellcome Trust of Great Britain.
 |
FOOTNOTES |
*
Corresponding author. Mailing address: Faculty of
Tropical Medicine, Mahidol University, 420/6 Rajvithi Rd., Bangkok
10400, Thailand. Phone: 66 2 246 0832. Fax: 66 2 246 7795. E-mail: fnnjw{at}diamond.mahidol.ac.th.
 |
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