Animal Health Modeling & Simulation Society: a new society promoting model-based approaches in veterinary pharmacology.

The Animal Health Modeling & Simulation Society (AHM&S) is a newly founded association (2012) that aims to promote the development, application, and dissemination of modeling and simulation techniques in the field of Veterinary Pharmacology and Toxicology. The association is co-chaired by Pr. Johan Gabrielsson (Europe), Pr. Jim Riviere (USA), and secretary Dr. Jonathan Mochel (Switzerland). This short communication aims at presenting the membership, rationale and objectives of this group.

Population pharmacokinetics of ibandronate in Caucasian and Japanese healthy males and postmenopausal females.

INTRODUCTION: Ibandronate is a potent, nitrogen-containing bisphosphonate that is licensed as a once-monthly oral preparation and is currently in clinical development as a novel intermittent intravenous (i.v.) injection in osteoporosis. Ibandronate pharmacokinetic (PK) data were used to develop a PK model that could ultimately be incorporated into a PK pharmacodynamic (PD) model to assist the ibandronate development program through computer-assisted trial design. This manuscript reports the use of non-linear mixed-effects modeling to characterize the PK of ibandronate, to examine the possible influence of ethnicity on the disposition of ibandronate and to develop an appropriate population PK model for ibandronate. METHODS: A retrospective, cross-study population PK analysis was performed using PK data from five phase I studies with i.v. ibandronate (0.125 - 2.0 mg) conducted in Caucasian and Japanese healthy male volunteers, postmenopausal Caucasian women without osteopenia and postmenopausal Japanese women with osteopenia. The following covariates were investigated to establish their influence on the central volume of distribution (V1) and drug clearance (CL): age, body weight, gender, disease status (healthy versus osteopenic), creatinine clearance (CLCR), and ethnicity (Japanese versus Caucasian). Serum concentrations of ibandronate were quantified by GC-MS or ELISA, and data were modeled using non-linear mixed-effects modeling implemented by the software program NONMEM. RESULTS: The PK of ibandronate was adequately described by a linear 3-compartment model. Disease status, body weight, gender and CLCR significantly influenced ibandronate CL (10 34%) and the latter 3 also influenced V1 (20 29%). Ethnicity was not a determinant for ibandronate PK in the final model. Although gender was the most influential covariate, differences in V1 and CL between the sexes were modest (29 and 34%, respectively) and the overall effects on ibandronate exposure (Cmax and AUC) were not clinically relevant. The final model described the observed PK of ibandronate well, and all PK parameters were estimated with an acceptable degree of precision (SE < 13%). CONCLUSION: The PK of i.v. ibandronate was well described by a linear 3-compartment population PK model that included disease status, body weight, gender and CLCR as covariates, but without greatly affecting ibandronate exposure (Cmax and AUC). Ethnicity did not influence ibandronate PK and was not included in the final model.

Good Practices in Model-Informed Drug Discovery and Development: Practice, Application, and Documentation.

This document was developed to enable greater consistency in the practice, application, and documentation of Model-Informed Drug Discovery and Development (MID3) across the pharmaceutical industry. A collection of "good practice" recommendations are assembled here in order to minimize the heterogeneity in both the quality and content of MID3 implementation and documentation. The three major objectives of this white paper are to: i) inform company decision makers how the strategic integration of MID3 can benefit R&D efficiency; ii) provide MID3 analysts with sufficient material to enhance the planning, rigor, and consistency of the application of MID3; and iii) provide regulatory authorities with substrate to develop MID3 related and/or MID3 enabled guidelines.

Population pharmacokinetics of levodopa in patients with Parkinson's disease treated with tolcapone.

OBJECTIVE: To use pharmacostatistical models to evaluate the overall exposure of patients with Parkinson's disease to levodopa in the presence and absence of tolcapone. METHODS: Four hundred twelve patients with Parkinson's disease with fluctuating and nonfluctuating responses to levodopa participated in three multicentered, parallel, double-blind, placebo-controlled dose-finding studies and received either placebo or tolcapone in addition to levodopa-decarboxylase inhibitor therapy. Sparse blood samples were obtained from 393 patients for levodopa and 3-O-methyldopa assay, and the data were analyzed with use of the NONMEM program. RESULTS: The fraction of levodopa metabolized to 3-O-methyldopa was substantially reduced by the co-administration of tolcapone (by 65%, 74%, and 84% with tolcapone doses of 50, 200, and 400 mg, respectively, in fluctuators, and by 50% and 90% with doses of 200 and 400 mg, respectively, in nonfluctuators). This led to an overall reduction in levodopa clearance (CL) of approximately 15% to 25% in fluctuators and 20% to 30% in nonfluctuators. Because this was partly compensated for by a reduction in levodopa dose in these studies, the total daily exposure of patients to levodopa was only slightly increased (11% to 16%). The peak-trough fluctuations of plasma levodopa (Cmax-Cmin) were reduced in both populations in a dose-dependent fashion. CONCLUSIONS: Tolcapone effectively inhibited the formation of 3-O-methyldopa and resulted in a decrease in levodopa CL. The consequent increase in levodopa bioavailability was mostly offset by reductions in levodopa dose. It is possible that decreased fluctuations in plasma levodopa concentrations rather than increased levodopa exposure may explain the clinical benefits obtained with tolcapone.

Exploratory analysis of population pharmacokinetic data from clinical trials with application to isradipine.

Drug level monitoring during routine clinical visits in the course of phase III trials provides a means to document pharmacokinetic variability in a patient population. Such a pharmacokinetic screen was performed for the new calcium antagonist isradipine. A total of 697 blood samples were collected at any time after the morning dose from 252 patients who had received oral doses of isradipine. Three approaches of data analysis based on exploratory (graphical and statistical) techniques were used to relate plasma level to patient demographic data and laboratory parameters. The pharamacokinetics of isradipine seemed to be influenced by the demographic variables of age (already detected in conventional studies) and weight, as well as by the blood serum levels of inorganic phosphorous, uric acid, alkaline phosphatase, and bilirubin, but only to a small, clinically irrelevant extent. The findings from the three approaches were complementary. They suggest that a pharmacokinetic screening in clinical trials is feasible at reasonable experimental cost and effort and provides useful data on interindividual and intraindividual pharmacokinetic variability in patients.

Feedback control methods for drug dosage optimisation. Concepts, classification and clinical application.

The concept of feedback control methods for drug dosage optimisation is described from the viewpoint of control theory. The control system consists of 5 parts: (a) patient (the controlled process); (b) response (the measured feedback); (c) model (the mathematical description of the process); (d) adaptor (to update the parameters); and (e) controller (to determine optimum dosing strategy). In addition to the conventional distinction between open-loop and closed-loop control systems, a classification is proposed for dosage optimisation techniques which distinguishes between tight-loop and loose-loop methods depending on whether physician's interaction is absent or included as part of the control step. Unlike engineering problems where the process can usually be controlled by fully automated devices, therapeutic situations often require that the physician be included in the decision-making process to determine the 'optimal' dosing strategy. Tight-loop and loose-loop methods can be further divided into adaptive and non-adaptive, depending on the presence of the adaptor. The main application areas of tight-loop feedback control methods are general anaesthesia, control of blood pressure, and insulin delivery devices. Loose-loop feedback methods have been used for oral anticoagulation and in therapeutic drug monitoring. The methodology, advantages and limitations of the different approaches are reviewed. A general feature common to all application areas could be observed: to perform well under routine clinical conditions, which are characterised by large interpatient variability and sometimes also intrapatient changes, control systems should be adaptive. Apart from application in routine drug treatment, feedback control methods represent an important research tool. They can be applied for the investigation of pathophysiological and pharmacodynamic processes. A most promising application is the evaluation of the relationship between an intermediate response (e.g. drug level), which is often used as feedback for dosage adjustment, and the final therapeutic goal.

Relationships between exposure to saquinavir monotherapy and antiviral response in HIV-positive patients.

OBJECTIVE: The aim of this study was to confirm the most appropriate dosage of a new soft gelatin capsule (SGC) formulation of the HIV protease inhibitor saquinavir by investigating the relationships between systemic (plasma) exposure to saquinavir and plasma HIV RNA and CD4+ cell counts using empirical mathematical modelling. DESIGN AND SETTING: A randomised, non-blind, multicentre, dose-ranging 8-week study of monotherapy with 400, 800 or 1200 mg of saquinavir-SGC or 600 mg of the hard gelatin capsule (HGC) formulation, both administered 3 times daily, was carried out in protease inhibitor-naive, HIV-positive adults. Two surrogate markers of response, plasma HIV RNA level and CD4+ cell count, were fitted to 2 measures of systemic drug exposure, the area under the plasma concentration-time curve (AUC) and trough plasma concentration (Cmin), using 6 exposure-response models of progressively increasing complexity. Akaike and Schwarz model selection criteria were applied to determine the most effective pharmacokinetic-pharmacodynamic relationship. RESULTS: A total of 88 patients were randomised; pharmacokinetic and pharmacodynamic data were available for 84 patients. In terms of plasma HIV RNA, pharmacokinetic-pharmacodynamic relationships were best described by a 2-parameter maximum effect (Emax) model, which predicted a typical maximum reduction in viral load of 1.94 log10 copies/ml [coefficient of variation (CV) 12%], with a half-maximal antiviral response occurring at a Cmin of 50 micrograms/L (CV 40%). Saquinavir-SGC 1200 mg administered 3 times daily produced a median AUC to 24 hours (AUC24) of approximately 20,000 micrograms/L.h, corresponding to 85% of the maximum achievable antiviral effect as defined by the model. None of the models yielded a satisfactory fit for CD4+ cell count. CONCLUSION: Empirical mathematical modelling confirmed that, when administered 3 times daily, the optimum dose of saquinavir-SGC is 1200 mg, corresponding to 3600 mg/day.

The use of population pharmacokinetics in drug development.

Currently, there is an increasing focus on the implementation of pharmacokinetic-pharmacodynamic (PK-PD) studies and modelling as essential tools for drug development. Strategies involving specifically the population approach, which are based on relatively recent statistical methodology (e.g. nonlinear mixed effects modelling, NONMEM) have been advocated for investigating pharmacokinetic and pharmacodynamic variability as well as dose-concentration-effect relationships. The present article outlines this approach, and discusses how it can be implemented within the framework of the studies currently performed as part of the clinical phases of new drug development. It also considers study design and performance, based on real-life experiences. Population approaches, if designed carefully and early, as part of the planning of the drug development programme, are expected to play a significant role at every phase of the programme and to contribute to providing information that is valuable for registration purposes. Statistical methodology and software are now widely available. However, practical issues such as integration of the population approach within existing protocols, quality control of the data, timing of laboratory and statistical analyses, as well as resource allocation, remain legitimate concerns to be considered in prospective studies.

An evaluation of the integration of pharmacokinetic and pharmacodynamic principles in clinical drug development. Experience within Hoffmann La Roche.

The integration of pharmacokinetic and pharmacodynamic principles into drug development has been proposed as a way of making it more rational and efficient. The use of these principles in drug development to make scientific and strategic decisions is defined as the 'pharmacokinetic-pharmacodynamic guided approach to drug development'. The objectives of this survey were: (i) to assess the extent the pharmacokinetic-pharmacodynamic guided approach to drug development has been used in a large multinational pharmaceutical company: (ii) to evaluate the impact of pharmacokinetic and/or pharmacodynamic results on clinical drug development; and (iii) to identify factors which prevented the full application of the pharmacokinetic-pharmacodynamic guided approach. This was done by looking at 18 projects in the current development portfolio at Hoffman La Roche and evaluating the use of this approach by interviewing the responsible clinical pharmacologist using a standardised questionnaire. (i) Benefits from using the pharmacokinetic-pharmacodynamic guided approach were reported in every project, independent of development phase and therapeutic area. This approach was more extensively used in the recent projects. The selection of dosages in clinical studies was found to be the most important application of pharmacokinetic-pharmacodynamic results in terms of an impact on drug development. (ii) Time savings, up to several months, could be quantified in 8 projects during the entry-into-man studies and in 6 projects during the phase II or III studies. In 4 projects, 1 clinical study was avoided. (iii) The most important scientific factor preventing the full application of the approach was the lack of knowledge on the predictive value of the pharmacodynamic or surrogate marker for effect (6 projects). The results of the survey have shown that the use of the pharmacokinetic-pharmacodynamic guided approach has contributed to making clinical drug development more rational and more efficient. Opportunities to apply the pharmacokinetic-pharmacodynamic approach should be identified in each project and a project specific strategy for the pharmacokinetic-pharmacodynamic guided approach should be defined during phase 0 of drug development.

A mathematical model of the kinetics of 5-fluorouracil and its catabolites in freshly isolated rat hepatocytes.

A mathematical model for the kinetics of 5-fluorouracil (FUra) catabolism in liver cells is proposed. It is based on published data for the metabolism of FUra by isolated rat hepatocytes. The model relies on biochemical knowledge of the catabolic pathway. The key-steps are: the cellular uptake and the conversion of the unchanged drug to dihydrofluorouracil (FUH2) and subsequently to alpha-fluoro-beta-alanine (FBAL); the cellular fluxes of the 2 catabolites, FUH2 and FBAL. Water is partitioned between the extracellular and intracellular spaces. The first step is described by Michaelis-Menten kinetics and the other processes by first-order kinetics. Satisfactory fitting of the model validates these simplifications and provides values for the parameters describing the process. The model indicates that the kinetics of FUra disappearance are non linear, the Vmax of the first step being between 3.1 and 5.0 microM/min and the Km between 12 and 37 microM; the rate limiting step is the degradation of FUH2 (the major intracellular catabolite) with a rate constant of 0.1 to 0.02 min-1; the FUH2 transmembrane exchange is active; the exchange of the final catabolite FBAL is by diffusion.

A mathematical model of the kinetics of 5-fluorouracil and its metabolites in cancer patients.

A compartmental model of the kinetics of 5-fluorouracil (5-FU) and its catabolites in humans is proposed. This model was developed using data from a previous study in which plasma levels and urinary amounts of unchanged drug and metabolites were quantitated after i.v. bolus injection of 500 mg/m2 5-FU in ten patients. Biliary excretion was also quantified in two subjects. The different processes, biochemical transformations, and urinary and biliary excretion were adequately described by first-order kinetics. The technique of multiresponse modelling was used for global fitting of all data for each patient. Satisfactory agreement was achieved between measured and predicted values. This model enabled accurate evaluation of pharmacokinetic parameters that could not be adequately calculated using a model-free analysis. The total clearance and elimination half-life of 5-FU and its catabolites are reported for all subjects. The estimated mean half-life was 6.9 +/- 3.9 min for unchanged 5-FU and 225 +/- 352, 7.6 +/- 4, and 9.6 +/- 7.7 min, respectively, for the three measured catabolites dihydrofluorouracil (FUH2), alpha-fluoro-beta-ureidopropionic acid (FUPA), and alpha-fluoro-beta-alanine (FBAL). The percentage of anabolic, catabolic, urinary, and biliary elimination in total clearance was also quantitated. Anabolic clearance accounted for 39% +/- 14% of total 5-FU clearance, with substantial variation occurring among patients. Urinary clearance represented 6.5% +/- 3.2%, 0.8% +/- 0.9%, 13.2% +/- 4.7%, and 98.2% +/- 2.5% of total clearance for 5-FU, FUH2, FUPA, and FBAL, respectively. The model was also satisfactorily fitted to the data of a patient deficient in dihydropyrimidine dehydrogenase, an enzyme previously thought to be the rate-limiting step for 5-FU catabolism. In this case, catabolism was highly reduced and urinary excretion of 5-FU increased up to 64% of total drug clearance. This first global model of the kinetics of 5-FU and all of its catabolites in patients given an i.v. bolus infusion of 500 mg/m2 5-FU represents a further step toward detailed comprehensive modeling of the kinetics of this drug.

A time-lag model for pharmacokinetics of drugs subject to enterohepatic circulation.

A two-compartment model with time lag is proposed to describe the pharmacokinetics of drugs subject to enterohepatic circulation. The basic model, including two compartments for body and GI tract, respectively, with elimination occurring from both compartments, was previously proposed. The assumption that the reabsorption of a drug molecule is delayed after its biliary excretion is expressed by the addition of a time lag in the transfer from the first to the second compartment. Computer simulation of the model for intravenous bolus injection and oral intake of the drug was performed through first-order numerical integration. Several qualitative results concerning changes in pharmacokinetics due to modifications in biliary excretion, in reabsorption, or in elimination are identical with predictions using the basic model. However, several qualitative and quantitative results were significantly different. The pharmacokinetics, though remaining linear, are no longer biexponential. Initial decay after intravenous injection was not affected by modifications in reabsorption or elimination from intestine. Predictions based on the time-delay model agree with existing experimental evidence concerning pharmacokinetics of substances undergoing enterohepatic cycling. Delayed recirculation may lead to rebounds in plasma level profiles as well as after intravenous and oral administration. The half-life of the drug is significantly prolonged even when the kinetic processes involved in recirculation remain unchanged.

Simultaneous pharmacokinetic modeling of a drug and two metabolites: application to albendazole in sheep.

Albendazole pharmacokinetic parameters were determined in lambs after iv, oral, and intraruminal single administrations. The parent drug and two metabolites, albendazole sulfoxide and albendazole sulfone, were simultaneously determined in whole blood, plasma, and urine using an HPLC method. The parent drug was only recovered in plasma when injected intravenously. For other routes, only the two metabolites were detectable; they were present in red blood cells and plasma at equal concentrations. The pharmacokinetic parameters were determined by using compartmental models which simultaneously described the two oxidative steps and the urinary excretion of the sulfoxide derivative. Dose-dependent pharmacokinetics was studied in the dose range 0.95-3.8 mg/kg. The results showed that clearance remained constant within the tested dose range since the area under the curve normalized to the dose was similar in the cases of sulfoxide and sulfone metabolites, whatever the route of administration. The drug appeared to be extensively metabolized in the body regardless of the route of administration. Sulfoxidation probably took place in liver, but other tissues seemed to be responsible for the formation of the sulfoxide which has been described as the major anthelmintic derivative of albendazole.

Role of modelling and simulation in Phase I drug development.

Although the use of pharmacokinetic/pharmacodynamic modelling and simulation (M&S) in drug development has increased during the last decade, this has most notably occurred in patient studies using the population approach. The role of M&S in Phase I, although of longer history, does not presently have the same impact on drug development. However, trends such as the increased use of biomarkers and clinical trial simulation as well as adoption of the learn/confirm concept can be expected to increase the importance of modelling in Phase I. To help identify the role of M&S, its main advantages and the obstacles to its rational use, an expert meeting was organised by COST B15 in Brussels, January 10-11, 2000. This article presents the views expressed at that meeting. Although it is clear that M&S occurs in only a minority of Phase I clinical trials, it is used for a large number of different purposes. In particular, M&S is considered valuable in the following situations: censoring because of assay limitation, characterisation of non-linearity, estimating exposure-response relationship, combined analyses, sparse sampling studies, special population studies, integrating PK/PD knowledge for decision making, simulation of Phase II trials, predicting multiple dose profile from single dose, bridging studies and formulation development. One or more of the following characteristics of M&S activities are often present and severely impede its successful integration into clinical drug development: lack of trained personnel, lack of protocol and/or analysis plan, absence of pre-specified objectives, no timelines or budget, low priority, inadequate reporting, no quality assurance of the modelling process and no evaluation of cost-benefit. The early clinical drug development phase is changing and if these implementation aspects can be appropriately addressed, M&S can fulfill an important role in reshaping the early trials by more effective extraction of information from studies, better integration of knowledge across studies and more precise predictions of trial outcome, thereby allowing more informed decision making.

Exploring clinical study design by computer simulation based on pharmacokinetic/pharmacodynamic modelling.

Computer simulations have been successfully applied in various industries (e.g. automobile, aerospace) to make product development more efficient. Just recently, it was suggested to use simulations in support of clinical drug development for predicting clinical outcomes of planned trials. The methodological basis for this approach is provided by pharmacokinetic and pharmacodynamic mathematical models together with Monte Carlo techniques. In the present paper, the basic notions of clinical trial simulation are introduced and illustrated with the example of an oral anticancer drug. It is shown that computer simulation helps to evaluate consequences of design features on safety and efficacy assessment of the drug which are not easily obtained otherwise. An overview of existing simulation resources with respect to training and software is provided.

Pharmacometrics: modelling and simulation tools to improve decision making in clinical drug development.

There is broad recognition within the pharmaceutical industry that the drug development process, especially the clinical part of it, needs considerable improvement to cope with rapid changes in research and health care environments. Modelling and simulation are mathematically founded techniques that have been used extensively and for a long time in other areas than the pharmaceutical industry (e.g. automobile, aerospace) to design and develop products more efficiently. Both modelling and simulation rely on the use of (mathematical and statistical) models which are essentially simplified descriptions of complex systems under investigation. It has been proposed to integrate pharmacokinetic (PK) and pharmacodynamic (PD) principles into drug development to make it more rational and efficient. There is evidence from a survey on 18 development projects that a PK/PD guided approach can contribute to streamline the drug development process. This approach extensively relies on PK/PD models describing the relationships among dose, concentration (and more generally exposure), and responses such as surrogate markers, efficacy measures, adverse events. Well documented empirical and physiologically based PK/PD models are becoming available more and more, and there are ongoing efforts to integrate models for disease progression and patient behavior (e.g. compliance) as well. Other types of models which are becoming increasingly important are population PK/PD models which, in addition to the characterization of PK and PD, involve relationships between covariates (i.e. patient characteristics such as age, body weight) and PK/PD parameters. Population models allow to assess and to quantify potential sources of variability in exposure and response in the target population, even under sparse sampling conditions. As will be shown for an anticancer agent, implications of significant covariate effects can be evaluated by computer simulations using the population PK/PD model. Stochastic simulation is widely used as a tool for evaluation of statistical methodology including for example the evaluation of performance of measures for bioequivalence assessment. Recently, it was suggested to expand the use of simulations in support of clinical drug development for predicting outcomes of planned trials. The methodological basis for this approach is provided by (population) PK/PD models together with random sampling techniques. Models for disease progression and behavioral features like compliance, drop-out rates, adverse event dependent dose reductions, etc. have to be added to population PK/PD models in order to mimic the real situation. It will be shown that computer simulation helps to evaluate consequences of design features on safety and efficacy assessment of the drug, enabling identification of statistically valid and practically realisable study designs. For both modelling and simulation a guidance on 'best practices' is currently worked out by a panel of experts comprising representatives from academia, regulatory bodies and industry, thereby providing a necessary condition that model-based analysis and simulation will further contribute to streamlining pharmaceutical drug development processes.

Pharmacokinetic and pharmacodynamic data and models in clinical trials.

There is current emphasis for extended integration of pharmacokinetics (PK) and pharmacodynamics (PD) into all phases of new drug development, including large-scale clinical trials. In this paper, we focus on study design and data analysis issues for the investigation of pharmacokinetic/pharmacodynamic and blood level/effect relationships in patients. The application of descriptive and model-based regression statistical methodology for including sparse drug systemic concentration data in the analysis of efficacy and safety is illustrated by examples chosen from diverse therapeutic areas. The population approach, based on mixed-effects modelling, is one such methodology, which also provides new tools for analysis of response vs dose and response vs time data. The existence of a variety of statistical techniques for handling complex PK/PD time-varying data should increase the impact of such data analysis on future drug development.

Sparse sampling for assessment of drug exposure in toxicological studies.

In support of animal toxicity testing of new drugs, toxicokinetics is designed to assess the systemic exposure of the animals to the drug across dose levels, genders, and periods of the study. In small rodents, repeated sampling may alter the health of the animals and jeopardize the toxicity evaluation. One conventional way to circumvent this limitation is to collect serial samples from satellite animals maintained as the main study animals but not monitored for toxicity. We evaluated, on a real example, whether the exposure could be assessed in the main animals from sparse samples. The only acceptable designs consisted of one single sample per animal repeated on two or three study days. In the rat 13-week oral toxicity study of a new chemical entity, both serial sampling in the satellite animals and sparse sampling in the main animals were applied. Similar measures of exposure and qualitative conclusions were derived from the two groups of animals. The very sparse design applied to the main group yielded adequate estimation of the animal exposure, even with a very simple non-compartmental approach. The population pharmacokinetics analysis of the sparse data with NONMEM provided additional information about drug disposition and the influence of the covariates.

[Renal clearance technic for individualizing lithium dosage in routine hospital care]. / La méthode de la clairance rénale pour l'individualisation des posologies du lithium en routine hospitalière.

Lithium has a narrow therapeutic index and exhibits a wide pharmacokinetic variability. Individual dosage regimen adjustment is necessary to warrant the efficacy and safety of long-term treatment. We propose the "renal clearance method" for rapid determination of the lithium carbonate daily dose for chronic therapy. After the first intake of drug by a manic-depressive patient, a four-hour trial is performed. It involves two blood samplings and two urine collections, in which lithium and creatine are assayed. Comparison of observed creatinine with a value predicted according to age, morphological characteristics, sex and serum creatinine of the patients allows the interpretation of conflicting results. The estimation of lithium and creatinine clearances of each patient is performed using a computerized or manual method which unfolds a decision procedure. The daily dosage (1.5 to 6 250 mg tablets in two or three daily intakes) is deduced from the according lithium renal clearance (0.4 to over 2 l/h) by means of a nomogram established in previous studies on about 50 patients. The clearance method has been investigated in routine hospital care on a 40 patients sample. The range of satisfactory lithium serum levels during patients monitoring was 0.6-0.9 mmol/l. Accurate dosage regimen forecasting is obtained in 92% of the patients. The percentage observed in a subset of 13 patients with the C24 method, which relies on a unique blood sample 24 hours after the first dose, was much lower (54%). The renal clearance method appears as a robust and reliable technique for individual lithium dosage regimen adjustment in routine care.

Pharmacometrics: opportunity for reducing disease burden in the developing world: the case of Africa.

Pharmacometricians are virtually nonexistent in Africa and the developing world. The unrelenting burden of infectious diseases, which are often treated using medicines with narrow effectiveness and safety dose ranges, and the growing prevalence and recognition of non-communicable diseases represent significant threats for the patients, although affording an opportunity for advancing science. This article outlines the case for pharmacometricians to redirect their expertise to focus on the disease burden affecting the developing world.CPT: Pharmacometrics & Systems Pharmacology (2013) 2, e69; doi:10.1038/psp.2013.45; published online 28 August 2013.