- Open Access
World Antimalarial Resistance Network (WARN) IV: Clinical pharmacology
© Barnes et al; licensee BioMed Central Ltd. 2007
Received: 31 March 2007
Accepted: 6 September 2007
Published: 6 September 2007
A World Antimalarial Resistance Network (WARN) database has the potential to improve the treatment of malaria, through informing current drug selection and use and providing a prompt warning of when treatment policies need changing. This manuscript outlines the contribution and structure of the clinical pharmacology component of this database. The determinants of treatment response are multi-factorial, but clearly providing adequate blood concentrations is pivotal to curing malaria. The ability of available antimalarial pharmacokinetic data to inform optimal dosing is constrained by the small number of patients studied, with even fewer (if any) studies conducted in the most vulnerable populations. There are even less data relating blood concentration data to the therapeutic response (pharmacodynamics). By pooling all available pharmacokinetic data, while paying careful attention to the analytical methodologies used, the limitations of small (and thus underpowered) individual studies may be overcome and factors that contribute to inter-individual variability in pharmacokinetic parameters defined. Key variables for pharmacokinetic studies are defined in terms of patient (or study subject) characteristics, the formulation and route of administration of the antimalarial studied, the sampling and assay methodology, and the approach taken to data analysis. Better defining these information needs and criteria of acceptability of pharmacokinetic-pharmacodynamic (PK-PD) studies should contribute to improving the quantity, relevance and quality of these studies. A better understanding of the pharmacokinetic properties of antimalarials and a more clear definition of what constitutes "therapeutic drug levels" would allow more precise use of the term "antimalarial resistance", as it would indicate when treatment failure is not caused by intrinsic parasite resistance but is instead the result of inadequate drug levels. The clinical pharmacology component of the WARN database can play a pivotal role in monitoring accurately for true antimalarial drug resistance and promptly correcting sub-optimal dosage regimens to prevent these contributing to the emergence and spread of antimalarial resistance.
The overall objective of the Worldwide Antimalarial Resistance Network (WARN) database is to improve the treatment of malaria, by informing drug selection and use and providing a prompt warning of when treatment policies need changing . This database should include data on the clinical pharmacology of antimalarial drugs in addition to their therapeutic efficacy, and the molecular and in vitro markers of resistance. The clinical pharmacology component of the database is essential to ensure optimal dosing with currently available and newly introduced antimalarial drugs through defining the correlation between drug concentration and clinical and parasitological response. This requires three key questions to be answered: firstly, what is the profile of "therapeutic" drug concentrations that needs to be sustained to eradicate the plasmodial biomass? Secondly, are these drug concentrations over time being achieved in the majority of all target groups, including infants, pregnant women, and those with prevalent co-morbid diseases (especially HIV/AIDS, malnutrition) or are there important sub-groups being under (or over) dosed? For example inadequate drug levels have been repeatedly found in pregnant women and young children [2–8]. Despite the antimalarial drug concentrations often being approximately half of those considered therapeutic, there has not yet been any dosage regimen adjustment made to ensure that these vulnerable populations are adequately dosed. Third, if current dosing is found to be sub-optimal, can the regimen be adjusted safely to ensure therapeutic dosing?
The determinants of therapeutic response are multi-factorial. The ability of available antimalarial pharmacokinetic data to inform optimal dosing is constrained by the small number of patients studied, with even fewer (if any) studies conducted in the most vulnerable populations. The variability in biological matrix (plasma, venous whole blood, venous capillary blood), analytical methodology used and the marked inter-individual pharmacokinetic variation of some antimalarials (e.g. artemisinins) create further challenges, in particular the need for effective quality control of laboratory assays of drug concentrations in biological samples, particularly blood – the site of action of antimalarials. In the past, some attempts at standardization were made without much success. Now that a global database on the clinical pharmacology of antimalarials is being planned, it is the appropriate time to consolidate effort in this field. Individual pharmacokinetic studies are almost invariably underpowered in characterising the factors that influence antimalarial pharmacokinetic parameters. By pooling all available pharmacokinetic data, while paying careful attention to the methodology used, the limitation of small (and thus underpowered) individual studies may be overcome and the factors that contribute to inter-individual variability in pharmacokinetic parameters defined. Similarly if there were important drug-concentration related toxicities, which could well have been missed due to the paucity of the available data, these could be best recognized through this database.
A better understanding of the pharmacokinetic properties of antimalarials and a more clear definition of therapeutic drug levels would allow more appropriate use of the term "antimalarial resistance", as it would indicate when treatment failure is not caused by parasite resistance but is the result of inadequate drug levels, through sub-optimal dosing, poor adherence, poor quality of the antimalarial, poor absorption or poor metabolism to the active metabolite (for example with amodiaquine [9, 10]). The clinical pharmacology component of the WARN plays a pivotal role in accurately monitoring for true antimalarial drug resistance and promptly correcting sub-optimal dosage regimens to prevent these contributing to the spread of antimalarial resistance.
target populations in whom a substantial proportion fail to achieve therapeutic drug concentrations
target populations in which pharmacokinetic data on key antimalarials are lacking or are inadequate
when or where the recommended dose results in a substantial number of treatment failures, despite achieving drug concentrations that were previously defined as "therapeutic", and whether this problem can be safely addressed by increasing the dose, or whether a change in policy is required.
Geographic variations which might have genetic or environmental origins.
In addition to the potential of the database to support optimization of dosage regimens, it creates the opportunity to simplify regimens based on age or weight/height, and even to explore the potential of using pharmacokinetic measures to assess adherence. Importantly, by better defining these information needs and criteria of acceptability of pharmacokinetic-pharmacodynamic studies, the database should contribute to improving the quantity, relevance and quality of subsequent studies.
Access to unpublished data
There are considerable obstacles that need to be overcome to achieve the ambitious objectives of the clinical pharmacology component of the WARN database. These include the paucity of published pharmacokinetic studies. These have generally been small detailed studies conducted in too few patients to inform rational optimal dosing regimens. Some pharmacokinetic data (particularly the studies conducted during drug development) are not in the public domain. These data are held by the manufacturer, both commercial pharmaceutical companies and increasingly by non-governmental organizations and Public-Private Partnerships, such as the Medicines for Malaria Venture (MMV) and the Drugs for Neglected Diseases Initiative (DNDi). It is in the interest of public health that such data, and other unpublished pharmacokinetic data, is rapidly included in the WARN Clinical Pharmacology Database where it may be freely accessed. This requires that obstacles to such groups contributing their data to the database are identified, and true partnership between stakeholders established to resolve how these obstacles can be overcome. Given the limited PK data currently available, it is considered advantageous that all available pharmacokinetic data, despite their limitations, be included in the WARN Clinical Pharmacology Database and that the subsequent analysis be used to determine which results are consistent, both in terms of pharmacokinetic parameters and factors that influence these.
Most pharmacokinetic studies are conducted in healthy volunteers and adult patients, with the most vulnerable populations (infants, pregnant women, those with HIV/AIDS co-morbidity, malnourished patients) systematically excluded from these studies. Researchers and funders need to be encouraged to address these gaps urgently, given the substantial impact that under-dosing of these vulnerable groups would have on malaria morbidity and mortality and on the selection and spread of antimalarial resistance. Similarly, standard dosage regimens may be associated with toxic drug levels being achieved in other vulnerable populations.
Quality assurance and quality control
The assay methodology is a key determinant of the accuracy of the results. In most cases Mass Spectrometric and High Performance Liquid Chromatographic assays are more likely to give reliable results than the Bioassay or simple chemical or chromatographic methods, although early Mass Spectrometric assays may have been compromised by ion suppression . Validity can be further assessed by considering the reported recovery, coefficients of variation (for quality control samples), back-calculated concentrations for calibration standards, regression model, stability, lower limits of quantification, sample handling, volume of sample, biological matrix, anticoagulant, duplicate assay, inter- and intra-assay variability, and data handling. These factors could be used to rate the quality of the pharmacokinetic data on a scale of 0 (poor) to 3 (excellent), rather than including each individual variable in the database. This could be done through the development of an algorithm for rating validity for each assay. Alternatively, a statistical approach to pooled data can be taken to determine whether the laboratory identity is an independent predictor of pharmacokinetic parameters, once other known PK determinants are adjusted for.
Structure and content of the WARN Clinical Pharmacology Database
The WARN Clinical Pharmacology Database will have two components: one summarizing all available pharmacokinetic (pharmacodynamic) data and the second containing individual patient data on the pharmacokinetics (and where available pharmacodynamics) of antimalarial drugs. The available summary pharmacokinetic data will be collated into an open access database as rapidly as possible, to inform the finalising of the structure of the individual-patient database and identify gaps in the data (e.g. vulnerable target populations for whom no pharmacokinetic data are currently available).
The most valuable, longer term contribution of the Clinical Pharmacology component of a global antimalarial drug resistance database is likely to be individual patient data, as this should overcome the problem of small underpowered individual pharmacokinetic studies and ultimately is essential for making progress toward defining in vivo therapeutic ranges and modelling resistance, both of which are needed to optimize useful therapeutic life of the few available antimalarial drugs. Linking individual patient pharmacokinetic data with the demographics of those studied will allow us to define the determinants of these pharmacokinetic parameters.
Primary parameters to be included in WARN Pharmacokinetic Database
Malaria status 
Sampling times (to include sampling on day of recurrence of parasitemia)
Day 7 concentration (median, IQR, range)
Sample Matrix (e.g. Venous blood, capillary blood, filter paper spot, breast milk, placenta, urine, saliva)
AUC (median, IQR, range)
Route of administration
Assay Validity 
Special Risk Group 
Sample storage (temperature and duration)
Secondary parameters to be included in WARN Pharmacokinetic Database, if available.
Directly Observed Therapy (DOT) 
Method for separating free drug
Primary parameters: Absorption rate constant (Ka); Elimination Rate constant (Ke), Volume of distribution; Clearance rate.
Batch number & Expiry Date
Secondary parameters: Cmax, tmax, elimination half-life;
Method of Administration 
Total vs free drug
Baseline parasite density
Haematocrit, Bilirubin, Creatinine, Albumin (alpha1 glycoprotein, lipoprotein)
A thorough understanding of what factors influence antimalarial drug exposure would be facilitated by the inclusion of all pharmacokinetic studies in the database. The effect of disease would be assessed by comparison of pharmacokinetics in normal healthy volunteers with malaria patients. The effect of disease severity would be explored by comparing parasitaemic patients with asymptomatic, uncomplicated, moderately severe and severe malaria – with careful definition of these classifications. The pharmacokinetics of antimalarials administered as intermittent preventive therapy to pregnant women, infants and children, needs to be determined specifically as they may differ substantially both from those in normal healthy volunteers and in non-pregnant adult patients with malaria. As vast quantities of antimalarials, particularly chloroquine, are administered to patients infected with non-falciparum malaria parasites, particularly Plasmodium vivax, pharmacokinetic studies in these populations are essential for optimizing antimalarial drug use.
Given marked variability in the quality of antimalarials available , it is essential to specify the details regarding the antimalarial drug used in each pharmacokinetic study including manufacturer, source, expiry date (and ideally batch number and reference method used to ensure tablet content). It would be desirable also to include testing of the actual content of antimalarial drug in several tablets (or ampoules etc.) with standardized methodology. Similarly the exact method of drug administration needs to be documented, noting which of the doses were supervised, how tablets were administered to young children (as these are often crushed in sugar solution, jam or banana which may alter bioavailability) and, if relevant (e.g. lumefantrine), the quantity of fat administered together with the antimalarial dose. The route and time(s) of administration and actual dose administered, including when doses are repeated following vomiting, need to be specified. Patients in pharmacokinetic studies who require repeated dosing (usually following vomiting) should continue to have drug concentrations measured throughout the follow up period, provided the time and dose of repeated administration is recorded accurately. Current policies to exclude these patients from further studies preclude evidence-based guidelines for the management of these patients, even though vomiting is commonly reported among children with malaria. The weight of the patient is required to specify the mg per kg dose administered, and can identify those patients that are likely to be malnourished or obese; this assessment can be made more accurate by inclusion of height in the database as this would allow for the calculation of Body Mass Indices (BMIs).
Age and weight influence pharmacokinetics, so characterization of these effects is necessary for the development of simplified yet effective dosage regimens by age category. In areas of moderate and high intensity malaria transmission, age is an important surrogate indicator of the probability of acquired partial immunity, which needs to be included when assessing the pharmacokinetic-pharmacodynamic relationship. Similarly, pregnancy status (and trimester) needs to be included as immunity is reduced during pregnancy, and physiological changes during pregnancy are likely to alter the pharmacokinetics of most antimalarials. A recent history of vomiting or diarrhoea prior to oral treatment may be associated with lower bioavailability . Recording of co-morbid diseases, particularly HIV/AIDS and malnutrition, would identify whether any alteration in treatment dosage or policy is indicated for patients with these conditions.
Pharmacokinetic studies with commonly used concomitant medication (particularly antiretroviral treatments, anti-emetics, antihistamines) will identify clinically significant drug interactions, while administration of, for example, antipyretics or antibiotics with antimalarial activity needs to be documented for reliable interpretation of the therapeutic response. Variations in antimalarial pharmacokinetics by region or ethnic group might point to potential pharmacogenetic differences in drug metabolism indicating when pharmacogenomic studies would be useful. Useful supporting laboratory data include measures of haematocrit, bilirubin, creatinine and albumin. Other proteins such as the main binding protein for basic drugs alpha acid glycoprotein are relevant for quinine and chloroquine, while artemisinins also bind to lipoproteins [14–16].
Measuring drug concentrations over time
The selection of sample matrix (e.g. venous blood, capillary blood, plasma, breast milk, placenta, urine) will depend on the drug and the study context and objectives. Capillary blood of fixed volume collected into calibrated capillary tubes and dried on to filter paper is the most feasible sample for use in field studies, and such assays have been validated for chloroquine, quinine, halofantrine, piperaquine, amodiaquine, sulphadoxine/pyrimethamine, atovaquone, mefloquine and proguanil [7, 17–23]. The accuracy of these assays depends on the filter paper used (and its pre-treatment, when needed) and relies on careful training to ensure, for example, an accurate volume of sample, avoiding diluting the sample with interstitial tissue fluids by excessive squeezing of the patient's finger, and preventing contamination by touching the filter paper after touching the study drug. A simple field guide providing simple SOPs is needed to optimize sample collection and storage. Where protein binding is substantial, it is ideal to measure both total and free drug, although this is not possible for whole blood spots dried onto filter paper. Furthermore, the concentration of free drug for drugs with substantial protein binding (i.e. >99%) is very low and will thus in many cases be limited by assay sensitivity. There are currently no validated assays for capillary blood spots on filter paper for pyronaridine, lumefantrine or the artemisinin derivatives.
The selection of sampling times depends on the pharmacokinetic properties, particularly the elimination half-life, of each antimalarial drug, the context of the study and the therapeutic objective of treatment. Although time to reach therapeutic concentrations is of critical importance in treating severe malaria, for the treatment of uncomplicated malaria, an adequate clinical and parasitological response requires the persistence of levels that exceed the minimum inhibitory concentration (a concentration resulting in a parasite multiplication rate of <1/cycle) for at least four 48-hour asexual blood cycles in non-immune patients. The day 7 drug concentration has been shown to be the most important single concentration, in terms of correlation with the area under the concentration time curve and or association with treatment response, for lumefantrine, piperaquine, quinine, mefloquine and sulphadoxine-pyrimethamine [7, 17, 24–27]. As day 7 is a routine visit in therapeutic efficacy studies , measuring drug concentrations at least at this time point is recommended for all medium- to long acting drugs (i.e. drugs with half-lives greater than 12 hrs). This requires drug assays that are sensitive enough to quantify antimalarial drug levels accurately at least until this time point. Treatments with shorter elimination half-lives require more frequent earlier sampling. Further pharmacokinetic studies are needed to define optimal sampling times for the treatment of P. vivax (and other non-falciparum species).
The respective roles of conventional and population pharmacokinetic approaches need to be considered when selecting timing of sample collection. Intensive sampling is needed initially for each antimalarial and in each important target population. Subsequently, population pharmacokinetics can be used to minimize the number of times blood needs to be collected from an individual patient, thereby allowing more patients to be included in the study. Population pharmacokinetic analysis is complex and time consuming, taking between six and 12 months per drug. Extensive capacity building (particularly training in statistical modelling) is needed for population pharmacokinetic modelling to be more widely used, particularly in malaria endemic countries. Occasionally, the population pharmacokinetic approach will not succeed in modelling the pharmacokinetics of a particular antimalarial. Standardization in reporting will also be needed. Given the skew distribution of most pharmacokinetic parameters, these should preferably be reported as medians, inter-quartile ranges and ranges. Although summary measures are most often reported, the extremes of the range are more important in exploring the pharmacokinetic determinants of treatment failure and toxicity. This creates need for accurate characterization of the variability in of pharmacokinetic parameters.
Defining in vivo therapeutic levels requires analysing associations between drug levels and the risk of recurrent parasitaemia, recrudescence and re-infection . For those antimalarials where the parasite mutations associated with resistance have been defined, this analysis should be stratified by genotype . It is useful to determine the drug level at the time of failure, even when this was not a routine pharmacokinetic sampling time, although clinical signs and symptoms at this time need to be recorded as illness itself may affect pharmacokinetic parameters, such as the volume of distribution. Comparison of the pharmacokinetic parameters at the time of late clinical and late parasitological failure can be used to measure this effect. Population pharmacokinetics may be helpful to predict what the antimalarial drug level was likely to have been when parasitaemia became patent.
The association between drug exposure and the rate of reduction in parasite density (Parasite reduction ratios (PRRs), Parasite Clearance Times (PCTs), Time to clearance of 50% and 90% of parasites (PC50, PC90) are expected to be the earliest measures for detecting sub-optimal exposure to artemisinins and decreasing artemisinin efficacy as these drugs uniquely affect ring stage clearance. Monitoring the association between drug levels and post-treatment fever is useful both as a determinant of some pharmacokinetic parameters and as a secondary efficacy endpoint; however, the use of antipyretics complicate the interpretation of this association.
To define the upper limit of the therapeutic range, all adverse events need to be recorded and related to drug exposure. Particular attention should be paid to gastro-intestinal disturbances following oral treatment as this could reduce drug bioavailability. Recording of time to vomiting and the effect of this on drug levels, including when dosing is repeated following vomiting, is essential to inform how patients who vomit after oral treatment should be managed.
Lastly, a better understanding of how the pharmacokinetic profiles of various artemisinin-based combinations influence gametocyte carriage and the selection of resistant re-infections, would help to predict the therapeutic life of an antimalarial. This could help inform the selection of treatment policies, and help drug developers prioritize development of new antimalarials that have the best chance of remaining effective for longest.
The public health benefits of recent dramatic increases in spending on antimalarials create a particular urgency for ensuring that patients with malaria receive the best treatment in the correct dose. The investment in a global clinical pharmacology database would create a valuable resource that would make a substantial contribution to improving the treatment of malaria, which is currently compromised by increasing antimalarial resistance and the lack of pharmacokinetic data or sub-optimal dosing in vulnerable populations, particularly pregnant women and young children. The success of the database depends on willingness to share all available pharmacokinetic data and prompt, intelligent and unbiased analysis and interpretation of the determinants of pharmacokinetic parameters and the association of these with therapeutic response.
Appendix 1: Tools to facilitate participation in Clinical Pharmacology Database
○ Field guide for pharmacokinetic sample collection and storage.
○ Core protocols for pharmacokinetic studies.
○ Pharmacopoeia of validated antimalarial drug assays.
○ Regional repositories able to supply laboratories with reference pure antimalarial compounds, their metabolites and appropriate internal standards, and analytical grade reagents.
○ Designated reference analytical laboratories to ensure quality control in pharmacokinetic assays (including sending blinded samples to regional laboratories regularly) and to assay samples from study sites without access to reliable analytical laboratories.
○ Guidelines on the statistical methods recommended for pharmacokinetic analyses.
○ Minimum reporting recommendations for publishing antimalarial pharmacokinetic studies
The authors acknowledge the following participants in the 2006 meeting on the Worldwide Antimalarial Resistance Network Database convened by Carol Sibley, and funded by the Bill and Melinda Gates Foundation, for creating a supportive environment in which to conceptualize the Clinical Pharmacology component of this database. In particular, the discussions with Ric Price, Grant Dorsey, Miriam Laufer, Harparkash Kaur, Saroj Mishra, Theonest Mutabingwa, and Pascal Ringwald helped to formulate the ideas proposed in this manuscript.
- Sibley CH, Barnes KI, Plowe CV: The rationale and plan for creating a World Antimalarial Resistance Network. Malar J. 2007, 6 (1): 118-10.1186/1475-2875-6-118.View ArticlePubMedPubMed CentralGoogle Scholar
- McGready R, Stepniewska K, Lindegardh N, Ashley EA, La Y, Singhasivanon P, White NJ, Nosten F: The pharmacokinetics of artemether and lumefantrine in pregnant women with uncomplicated falciparum malaria. Eur J Clin Pharmacol. 2006, 62: 1021-1031. 10.1007/s00228-006-0199-7.View ArticlePubMedGoogle Scholar
- Fakeye TO, Fehintola FA, Ademowo OG, Walker O: Therapeutic monitoring of chloroquine in pregnant women with malaria. West Afr J Med. 2002, 21: 286-287.PubMedGoogle Scholar
- Na Bangchang K, Davis TM, Looareesuwan S, White NJ, Bunnag D, Karbwang J: Mefloquine pharmacokinetics in pregnant women with acute falciparum malaria. Trans R Soc Trop Med Hyg. 1994, 88: 321-323. 10.1016/0035-9203(94)90101-5.View ArticlePubMedGoogle Scholar
- McGready R, Stepniewska K, Edstein MD, Cho T, Gilveray G, Looareesuwan S, White NJ, Nosten F: The pharmacokinetics of atovaquone and proguanil in pregnant women with acute falciparum malaria. Eur J Clin Pharmacol. 2003, 59: 545-552. 10.1007/s00228-003-0652-9.View ArticlePubMedGoogle Scholar
- McGready R, Stepniewska K, Ward SA, Cho T, Gilveray G, Looareesuwan S, White NJ, Nosten F: Pharmacokinetics of dihydroartemisinin following oral artesunate treatment of pregnant women with acute uncomplicated falciparum malaria. Eur J Clin Pharmacol. 2006, 62: 367-371. 10.1007/s00228-006-0118-y.View ArticlePubMedGoogle Scholar
- Barnes KI, Little F, Smith PJ, Evans A, Watkins WM, White NJ: Sulfadoxine-pyrimethamine pharmacokinetics in malaria: paediatric dosing implications. Clin Pharmacol Ther. 2006, 80: 582-596. 10.1016/j.clpt.2006.08.016.View ArticlePubMedGoogle Scholar
- Ringwald P, Same Okobo A, Keundjian A, Kedy Mangamba D, Basco LK: Chemoresistance of P. falciparum in urban areas of Yaounde, Cameroon. Part 1: Surveillance of in vitro and in vivo resistance Plasmodium falciparum to chloroquine from 1994 to 1999 in Yaounde, Cameroon. Trop Med Int Health. 2000, 5: 612-629. 10.1046/j.1365-3156.2000.00613.x.View ArticlePubMedGoogle Scholar
- Hombhanje FW, Hwaihwanje I, Tsukahara T, Saruwatari J, Nakagawa M, Osawa H, Paniu MM, Takahashi N, Lum JK, Aumora B, Masta A, Sapuri M, Kobayakawa T, Kaneko A, Ishizaki T: The disposition of oral amodiaquine in Papua New Guinean children with falciparum malaria. Br J Clin Pharmacol. 2005, 59: 298-301. 10.1111/j.1365-2125.2004.02257.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Gerstner U, Prajakwong S, Wiedermann G, Sirichaisinthop J, Wernsdorfer G, Wernsdorfer WH: Comparison of the in-vitro activity of amodiaquine and its main metabolite, mono-desethyl amodiaquine in Plasmodium falciparum. Wien Klin Wochenschr. 2003, 115 (Suppl 3): 33-38.PubMedGoogle Scholar
- Wang S, Cyronak M, Yang E: Does a stable isotopically labelled internal standard always correct analyte response? A matrix effect study on a LC/MS/MS method for the determination of carvedilol enantiomers in human plasma. J Pharm Biomed Anal. 2007, 43: 701-707. 10.1016/j.jpba.2006.08.010.View ArticlePubMedGoogle Scholar
- Green MD, Nettey H, Villalva Rojas O, Pamanivong C, Khounsaknalath L, Grande Ortiz M, Newton PN, Fernandez FM, Vongsack L, Manolin O: Use of refractometry and colorimetry as field methods to rapidly assess antimalarial drug quality. J Pharm Biomed Anal. 2007, 43: 105-110. 10.1016/j.jpba.2006.06.047.View ArticlePubMedGoogle Scholar
- Ter Kuile FO, Luxemburger C, Nosten F, Thwai KL, Chongsuphajaisiddhi T, White NJ: Predictors of mefloquine treatment failure: a prospective study of 1590 patients with uncomplicated falciparum malaria. Trans R Soc Trop Med Hyg. 1995, 89: 660-664. 10.1016/0035-9203(95)90435-2.View ArticlePubMedGoogle Scholar
- Birley HD, Davidson RN, Raynes JG, Chidioni PL, McAdam KP: Alpha-1 acid glycoprotein inhibits the effects of quinine on the growth of Plasmodium falciparum in vitro. Trans R Soc Trop Med Hyg. 1992, 86: 377-10.1016/0035-9203(92)90227-4.View ArticlePubMedGoogle Scholar
- Gbotosho GO, Ogundahunsi OA, Happi CT, Kyle DE, Gerena L, Milhous W, Sowunmi A, Oduola AM, Salako LA: The Effects of alpha-1-acid glycoprotein on the reversal of chloroquine resistance in Plasmodium falciparum. Ann Trop Med Parasitol. 2006, 100: 571-578. 10.1179/136485906X118486.View ArticlePubMedGoogle Scholar
- Colussi D, Parisot C, Legay F, Lefevre G: Binding of artemether and lumefantrine to plasma proteins and erythrocytes. Eur J Pharm Sci. 1999, 9 (1): 9-16. 10.1016/S0928-0987(99)00037-8.View ArticlePubMedGoogle Scholar
- Smithuis F, Kyaw MK, Phe O, Aye KZ, Htet L, Barends M, Lindegardh N, Singtoroj T, Ashley E, Lwin S, Stepniewska K, White NJ: Efficacy and effectiveness of dihydroartemisinin-piperaquine versus artesunate-mefloquine in falciparum malaria: an open-label randomised comparison. Lancet. 2006, 367: 2075-2085. 10.1016/S0140-6736(06)68931-9.View ArticlePubMedGoogle Scholar
- Gitau EN, Muchohi SN, Ogutu BR, Githiga IM, Kokwaro GO: Selective and sensitive liquid chromatographic assay of amodiaquine and desethylamodiaquine in whole blood spotted on filter paper. J Chromatogr B Analyt Technol Biomed Life Sci. 2004, 799: 173-177. 10.1016/j.jchromb.2003.10.006.View ArticlePubMedGoogle Scholar
- Lindegardh N, Funding L, Bergqvist Y: Automated solid-phase extraction method for the determination of atovaquone in capillary blood applied onto sampling paper by rapid high-performance liquid chromatography. J Chromatogr B. 2001, 758: 137-144. 10.1016/S0378-4347(01)00160-8.View ArticleGoogle Scholar
- Okonkwo CA, Coker HA, Agomo PU, Ogunbanwo JA, Mafe AG, Agomo CO, Afolabi BM: Effect of chlorphemiramine on the pharmacokinetics of and response to chloroquine of Nigerian children with falciparum malaria. Trans R Soc Trop Med Hyg. 1999, 93: 306-311. 10.1016/S0035-9203(99)90033-0.View ArticlePubMedGoogle Scholar
- Kaneko A, Berggvist Y, Taleo G, Kobayakawa T, Ishizaki T, Bjorkman A: Proguanil disposition and toxicity in malaria patients from Vanuatu with high frequencies of CYP2C19 mutations. Pharmacogenetics. 1999, 9: 317-326. 10.1097/00008571-199910000-00005.View ArticlePubMedGoogle Scholar
- Mberu EK, Muhia DK, Watkins WM: Measurement of halofantrine and its major metabolite desbutylhalofantrine in plasma and blood by high-performance liquid chromatography: a new methodology. J Chromatogr. 1992, 581: 156-160. 10.1016/0378-4347(92)80461-X.View ArticlePubMedGoogle Scholar
- Hellgren U, Villen T, Ericsson O: High performance liquid chromatographic determination of quinine in plasma, whole blood and samples dried on filter paper. J Chromatogr. 1990, 528: 221-227. 10.1016/S0378-4347(00)82379-8.View ArticlePubMedGoogle Scholar
- Slutsker LM, Khoromana CO, Payne D, Allen CR, Wirima JJ, Heymann DL, Patchen L, Steketee RW: Mefloquine therapy for Plasmodium falciparum malaria in children under 5 years of age in Malawi: in vivo/in vitro efficacy and correlation of drug concentration with parasitological outcome. Bull World Health Organ. 1990, 68: 53-59.PubMedPubMed CentralGoogle Scholar
- Denis MB, Tsuyuoka R, Lim P, Lindegardh N, Yi P, Top SN, Socheat D, Fandeur T, Annerberg A, Christophel EM, Ringwald P: Efficacy of artemether-luemfantrine for the treatment of uncomplicated falciparum malaria in northwest Cambodia. Trop Med Int Health. 2006, 11: 1800-1807. 10.1111/j.1365-3156.2006.01739.x.View ArticlePubMedGoogle Scholar
- White NJ, van Vugt M, Ezzet F: Clinical Pharmacokinetics and Pharmacodynamics of artemether-lumefantrine. Clin Pharmacokinet. 1999, 37: 105-125. 10.2165/00003088-199937020-00002.View ArticlePubMedGoogle Scholar
- Pukrittayakamee S, Wanwimolruk s, Stepniewska K, Jantra A, Huyakorn S, Looareesuwan S, White NJ: Quinine pharmacokinetic-pharmacodynamic relationships in uncomplicated falciparum malaria. Antimicrob Agents Chemother. 2003, 47: 3458-3463. 10.1128/AAC.47.11.3458-3463.2003.View ArticlePubMedPubMed CentralGoogle Scholar
- World Health Organization: Assessment and monitoring of antimalarial drug efficacy for the treatment of uncomplicated falciparum malaria. Document No. WHO/HTM/RBM200350 Geneva. 2003, World Health Organization Geneva, Switzerland: WHO/HTM/RBMGoogle Scholar
- Price RN, Dorsey G, Ashley EA, Barnes KI, Baird JK, d'Alessandro U, Guerin PJ, Laufer MK, Naidoo I, Nosten F, Olliaro P, Plowe CV, Ringwald P, Sibley CH, Stepniewska K, White NJ: World Antimalarial Resistance Network (WARN) I: Clinical efficacy of antimalarial therapy. Malar J. 2007, 6 (1): 119-10.1186/1475-2875-6-119.View ArticlePubMedPubMed CentralGoogle Scholar
- Plowe CV, Roper C, Barnwell JW, Happi CT, Joshi HH, Mbacham W, Meshnick SR, Mugittu K, Naidoo I, Price RN, Shafer RW, Sibley CH, Sutherland CJ, Zimmerman PA, Rosenthal PJ: World Antimalarial Resistance Network (WARN) III: Molecular markers for drug resistant malaria. Malar J. 2007, 6 (1): 121-10.1186/1475-2875-6-121.View ArticlePubMedPubMed CentralGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.