Antimicrobial Agents and Chemotherapy, July 2006, p. 2281-2285, Vol. 50, No. 7
0066-4804/06/$08.00+0 doi:10.1128/AAC.00040-06
Copyright © 2006, American Society for Microbiology. All Rights Reserved.
Shoklo Malaria Research Unit, P.O. Box 46, Mae Sot, Tak 63110, Thailand,1 Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand,2 Centre for Clinical Vaccinology and Tropical Medicine, Churchill Hospital, Old Road, Headington, Oxford, United Kingdom3
Received 10 January 2006/ Returned for modification 24 March 2006/ Accepted 21 April 2006
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Mefloquine was introduced first as a single-dose therapy for falciparum malaria in Thailand in 1984, but initial high cure rates were not sustained (11). In a bid to halt the loss of antimalarial monotherapies to resistance in rapid succession, the strategy of artemisinin-based combination therapy with mefloquine was developed (19) and was adopted in Thailand in 1994.
In cases of malaria, absorption of mefloquine is dose limited and is reduced in the acute phase of illness. Splitting the dose and delaying administration after the first dose of an artemisinin derivative increase mefloquine absorption (12, 14). This is attributed partly to the rapid clinical and parasitological responses to artesunate. Smaller studies with artemisinin and other derivatives have given inconsistent results with respect to the pharmacokinetic-pharmacodynamic interaction with mefloquine in acute malaria (5, 9, 15). To improve oral bioavailability and tolerability, the mefloquine dose of 25 mg/kg of body weight was split into a 15 mg/kg dose followed by a 10 mg/kg dose. This is the dose regimen currently recommended in conjunction with artesunate.
A new fixed combination of mefloquine and artesunate has been developed (Drugs for Neglected Diseases Initiative; http://www.dndi.org). Coformulation of the drugs reduces the pill burden and, more importantly, eliminates the possibility of patients taking only one component of the combination or of providers selling only one drug to reduce costs. As the tolerability of mefloquine is dose related, dividing the total dosage into three rather than two doses might be preferable provided this approach does not impact efficacy adversely.
The aim of this study was to construct a population pharmacokinetic model for mefloquine given once daily in an 8 mg base/kg dose with artesunate and to estimate the key pharmacokinetic parameters. Patients were participants in two community-based clinical trials on the northwestern border of Thailand that compared mefloquine and artesunate with dihydroartemisinin-piperaquine for the treatment of uncomplicated falciparum malaria. The safety and efficacy results of those trials have been reported in full elsewhere (1, 2).
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Randomization and test blinding. After the initial computer-generated randomization (STATA 7 software) to allocate patients to the different treatment arms, 65 subjects in the mefloquine-artesunate-treated group were allocated randomly to blood sampling groups for mefloquine drug levels. The treatment and sampling allocations were both concealed in sealed envelopes.
Mefloquine-artesunate dosing regimen. Mefloquine 250 mg tablets (Mequin Atlantic Laboratories Corp. Ltd.) were administered at a dose of 8 mg/kg of body weight/day (rounded to the nearest quarter-tablet volume) with artesunate 50 mg tablets (Guilin Factory no.1, Guangdong, China) at a dose of 4 mg/kg/day for 3 days.
Sample times. Each patient in the pharmacokinetic study had a capillary blood sample taken pretreatment and was randomized into a group to have five or six samples taken in the following time windows: 3, 7 to 14, 21, and 28 to 63 days (17). Samples (100 to 120 µl) were taken into heparinized capillary tubes. The whole blood was then transferred to a polypropylene tube and frozen immediately at 20°C. Samples were transferred in batches to the main laboratory, where they were stored at 80°C. The concentrations of mefloquine and carboxymefloquine were determined using solid-phase extraction (SPE) combined with liquid chromatography (LC) in a slight modification of a method reported in a published assay (4). A 100-µl volume of internal standard (5 µg/ml) in hydrochloric acid (0.01 mol/liter) was added to an equivalent volume of whole blood in an Eppendorf microtube. The samples were then precipitated with 25 µl zinc sulfate and 275 µl acetonitrile, mixed for 10 s, and left undisturbed for 10 min. The precipitated samples were then centrifuged at 15,000 x g and the supernatants transferred to 5 ml polypropylene tubes already containing 1,150 µl phosphate buffer (pH 3) (0.1 mol/liter). The samples were then loaded onto preconditioned C18-SD SPE columns (3 M Empore). The SPE columns were washed and dried before being eluted into 5 ml polypropylene tubes with 400 µl methanol. The SPE eluates were evaporated to dryness at 65°C under a gentle stream of air. The samples were then reconstituted in 100 µl methanol-hydrochloric acid at 0.01 mol/liter (50:50 [vol/vol]), and 50 µl was injected into the LC system. The LC system used was a LaChrom Elite system consisting of an L2130 LC pump, an L2200 injector, an L2300 column oven set at 25°C, and an L2400 UV detector (Hitachi). The detector was set at 222 nm. Data acquisition was performed using LaChrom Elite software (VWR International). The compounds were analyzed using an Alltima C18 column (Alltech) (5 µm; 150 by 4.6 mm) and a mobile phase containing methanol-phosphate buffer (pH 2.5; 0.1 mol/liter) (60/40 [vol/vol]) at a flow rate of 1.0 ml/min. The lower limit of quantification of the assay was 70 ng/ml. The coefficients of variation (CV) for mefloquine during the analysis (n = 28) were 4.5%, 3.5%, and 3.0% at 300 ng/ml, 800 ng/ml, and 2500 ng/ml, respectively. The CV for carboxymefloquine during the analysis (n = 28) were 8.0%, 6.2%, and 6.8% at 300 ng/ml, 800 ng/ml, and 2500 ng/ml, respectively.
Recurrence of malaria infection during follow-up. For patients who had a reappearance of P. falciparum during the study follow up period, recrudescence was distinguished from reinfection by PCR genotyping as described previously (3).
Pharmacokinetic modeling and statistical methods.
Nonlinear mixed-effects modeling was used to fit population models to the capillary whole-blood concentration profiles of mefloquine and its metabolite. One- and two-compartment models were considered. In each case a one-compartment model with first-order absorption and first-order elimination was selected as the kinetic model. Intersubject variability values in the pharmacokinetic parameters were modeled with log-normal error models, for example, (CL/Fi) = (CL/F)exp(
iCL/F), where apparent clearance (CL/Fi) is the pharmacokinetic parameter for the individual (represented by "i"), CL/F is the population mean, and
iCL/F is the random effect with a mean of 0 and variance
CL/F, the intersubject variability for the parameter. The intrasubject variability was modeled with normal error models. The magnitude of the intersubject variability is expressed as the CV approximated by the square root of the variance estimate, while the intrasubject variability is expressed as the standard deviation of the residual error. The intersubject variability is expressed as an asymmetric 90% prediction interval, for example, for the parameter CL/F equal to exp[log(CL/F) ± 1.645
CL/F].
The variability in pharmacokinetic parameters was investigated by examining the following covariates: weight, level of parasitemia and temperature at enrollment, duration of fever before enrollment in hours, presence or absence of vomiting in the 24 h before enrollment, presence or absence of gametocytes, type of infection (falciparum monoinfection or mixed infection), and hematocrit. Continuous covariates were centered on their median values so that the population estimates would represent those of an average patient. A forward variable-selection procedure was employed to determine the model that best fitted the data. The likelihood ratio test and Akaike information criterion (AIC) were used to compare models with different covariates. A P value of 0.01 was taken as the cutoff for statistical significance. The effect of each covariate on the variance of the random effects was also examined. Paired individual predictions of elimination-rate constants for mefloquine and for the metabolite were compared using the nonparametric rank sign test. Normally distributed data were quantitated by means and 95% confidence intervals and compared using Student's t test or a chi-square test. Non-normally distributed data were quantitated by median and range and compared using the Mann-Whitney U test. Statistical programs used were the NLME procedure (7) of the Splus program (SPLUS 6 for Windows; Mathsoft, Inc.) for pharmacokinetic calculations, SPSS 11.0 for Windows (SPSS Inc.), EpiInfo (version 1.0, 2000; Centers for Disease Control and Prevention), and STATA/SE (version 8, Stata Corp. LP).
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TABLE 1. Baseline characteristics of the patients
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FIG. 1. Scatter plot of capillary whole-blood mefloquine concentrations (in nanograms per milliliter).
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FIG. 2. Predicted population pharmacokinetic profile for mefloquine administered at 8 mg/kg/day with artesunate for 3 days.
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TABLE 2. Population pharmacokinetic parameters for the base model of mefloquine
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TABLE 3. Population pharmacokinetic model with covariates for mefloquinea
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, where ke is the elimination-rate constant and ka is the absorption rate constant. Among the covariates, none of the variables had an effect on metabolite absorption and only increasing weight was associated independently with a lower elimination-rate constant (P = 0.002; likelihood ratio test). The metabolite was eliminated significantly more slowly than mefloquine (z = 5.58 [P < 0.001; sign test]) (Table 4). The metabolite area under the concentration time curve from 0 h to infinity ([AUC0
]) was significantly higher than the mefloquine AUC0
(z = 6.09 [P < 0.001; sign test]) by a factor of 1.7 (median; 90% range, 0.69 to 3.7).
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FIG. 3. Scatter plot of capillary whole-blood concentrations of the carboxylic acid metabolite (in nanograms per milliliter).
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TABLE 4. Population parameters for the base model of mefloquine's carboxylic acid metabolitea
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for mefloquine given as a dose of 8 mg/kg of body weight per day for 3 days was nearly 40% higher than a previous population estimate of AUC0
of 24,343 ng/ml · day in the same population treated with the conventional equivalent dose regimen of mefloquine given as 15 mg/kg and then 10 mg/kg on the second and third days of treatment (14). The terminal elimination half-life was estimated at 10.5 days, within the expected range for patients with malaria. Estimates of apparent volume of distribution and clearance were lower than those described previously for the conventional regimen (estimated values, 1.027 liters/kg/day [standard error, 0.083; 90% prediction interval, 0.600 to 1.759] and 13.99 liters/kg/day [standard error, 0.70; 90% prediction interval, 9.81 to 19.95], respectively), although prediction intervals were similar. As demographic details and levels of disease severity were similar, this is most likely explained by a higher fraction of the drug being absorbed. Analysis of covariates identified relationships between body weight and clearance and between admission temperature and volume of distribution which were statistically significant. A linear relationship between body weight and mefloquine clearance has been described previously (13). The carboxy-metabolite AUC0
was nearly double that for mefloquine itself, and elimination was slower. In previous studies of healthy volunteers the AUC0
of the metabolite was three to five times larger than that of the parent drug, reaching higher plasma concentrations than mefloquine after approximately 2 weeks and then declining at a similar rate. Mefloquine elimination is usually best quantified by biexponential or multiexponential disposition kinetics. It was not possible to fit a two-compartment model to these data, partly because there were insufficient samples taken early in the elimination phase. This is a disadvantage of the sampling schedule, which was tailored to minimize additional visits, with patients attending the clinic daily for 3 days after enrollment and then at weekly intervals to monitor treatment efficacy. Despite this, the long duration of follow up after drug administration means that the one-compartment model should give satisfactory estimates of the main kinetic parameters. Direct comparison of these results with those from previous studies should also take into account that a different formulation of the drug was used. Previous studies have shown that the different products are not bioequivalent (10, 18). Tolerability of this three-dose mefloquine regimen was good. Administration of mefloquine on the first day of treatment has been associated with a higher frequency of vomiting than administration of the first dose after a delay of 24 h (16). The rate of early vomiting was very low in this study. This may be the result of dividing the total dosage into three separately administered doses and giving a lower dose than that used in the conventional regimen each day, since intolerance to mefloquine is usually dose related. Efficacy was extremely good, with a cure rate above 95% after 9 weeks of follow up. These results are encouraging for the new fixed-dose combination, which has been tested recently in phase 3 trials. Mefloquine is already widely available as monotherapy in Southeast Asia but is not used in many African countries; this comparative lack of availability in African countries might delay the emergence of mefloquine resistance in those countries when the drug is deployed only as part of a fixed combination.
The study was partially supported by the INCO-DEV Programme ("Confirming the International Role of Community Research for Development"), European Commission, Proposal No. ICA4-2001-10193. The Shoklo Malaria Research Unit is part of the Wellcome Trust-Mahidol University, Oxford Tropical Medicine Research Programme sponsored by the Wellcome Trust of Great Britain.
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