Pharmacokinetic interactions between antiepileptic drugs. Clinical considerations

Predictive capacity of carbamazepine pharmacokinetic parameters in a Portuguese outpatient population

The individualization of anticonvulsant therapy regimens can contribute to the implementation of appropriate carbamazepine (CBZ) maintenance doses in epileptic patients. An accurate method for the prediction of concentrations based on a determination of parameters and serum concentrations could be of clinical relevance in the management of epilepsy. In this study, we retrospectively evaluated the predictive performance in an adult outpatient population of six different methods, representing six sets of CBZ pharmacokinetic parameters selected according to the literature using a Bayesian computer program (PKS System; Abbott Laboratories, Abbott Park, IL, USA). The study involved 50 patients with two or more available concentrations selected under several inclusion criteria. The patients were taking CBZ (between 200 and 1600 mg/d) in monotherapy or polytherapy regimens and had no hepatic or renal disease. Steady state concentrations were predicted according to the use of prior information and using one and two feedback patient concentrations. Accuracy and precision were assessed by mean prediction error (ME), mean squared prediction error (MSE) and root mean squared prediction error (RMSE). The analysis showed CL = 0.067 L/hour/kg and Vd = 1.19 L/kg as the most accurate and precise set of pharmacokinetic parameters, presenting the highest percentage of clinically acceptable estimates (error < 2 microg/mL). Additionally, predictions based on one measured feedback concentration were found to be more accurate and precise than prior population-based predictions; the use of two previous patient concentrations further improved predictive capacity but failed to show a significant difference when compared with predictions based on one measured feedback concentration. In conclusion, the adoption of the previously mentioned set of parameters as population estimates and the use of at least one feedback concentration through the Bayesian approach seems to be essential for a better CBZ use in clinical practice. Finally, despite the obtained results, we believe that the Portuguese pharmacokinetic parameter determination of antiepileptics should be carried out to improve the rationale and cost-effectiveness of anticonvulsant therapy.

Lamotrigine serum concentration-to-dose ratio: influence of age and concomitant antiepileptic drugs and dosage implications

Using bivariate and multivariate methods, we retrospectively analyzed the influence of patient age and the use of concomitant antiepileptic drugs (AEDs) on the lamotrigine (LTG) concentration-to-dose (C/D) ratio in samples from 164 patients (68 children, 96 adults) with epilepsy receiving LTG alone (n = 28) or in combination with various antiepileptic drugs (n = 136). The LTG C/D ratio increased with age in children receiving LTG alone (r = 0.60, p < 0.01), but decreased with age in adults receiving LTG and inducers (r = -0.42, p < 0.001). In patients receiving LTG and inducers, the ratio was statistically lower in those younger than 9 years of age (0.23 +/- 0.08) and older than 30 years of age (0.32 +/- 0.15) than it was in those between 9 and 30 years of age (0.44 +/- 0.15). The mean LTG C/D ratio was 0.37 +/- 0.15 in patients receiving LTG and inducers (n = 92), 0.84 +/- 0.41 in patients receiving LTG alone (n = 28), 1.09 +/- 0.44 in those receiving LTG with VPA plus inducers (n = 17), and 3.41 +/- 1.18 in those receiving LTG and VPA (n = 27). Differences in the LTG C/D ratio between treatment groups were similar in children and in adults. We reached the following conclusions: The LTG C/D ratio increased with age in children but may decrease with age in adults receiving concomitant enzyme-inducing AEDs; the LTG C/D ratio was 10 times lower in patients receiving LTG and inducers than in those receiving LTG and VPA (in both children and adults), and this difference was higher than the four-fold difference described for LTG half-life and the two-fold differences currently used in LTG dosage.

Clinically significant pharmacokinetic drug interactions between antiepileptic drugs

Pharmacokinetic interactions between antiepileptics represent a major potential complication of epilepsy treatment because drug combinations are common. This review discusses pharmacokinetic drug interactions of clinical significance involving antiepileptics and cytochrome P450 (CYP). Most commonly used antiepileptics are eliminated through hepatic metabolism, catalysed by the enzymes CYP2C9, CYP2C19 and CYP3A4 and uridine diphosphate glucuronosyltransferase (UDGPT). Antiepileptics are associated with a wide range of drug interactions, including hepatic enzyme induction and inhibition. Phenytoin, phenobarbiral, primidone and carbamazepine induce CYP and UDPGT enzymes while valproic acid inhibits them. Avoidance of unnecessary polypharmacy, selection of alternative agents with lower interaction potential and careful dosage adjustments based on serum drug concentration monitoring and clinical observation are the main methods for reducing the risks associated with these interactions.

Felbamate in refractory partial epilepsy

This open-label study was performed to evaluate efficacy and safety of Felbamate (FBM) add-on therapy in drug-refractory partial epilepsy. We evaluated 36 patients (12 males) aged 11-68 years (mean 29.8) in which FBM was titrated gradually from 300 mg/day to a mean total maintenance daily dose of 1936 mg. Patients were monitored according to clinical practice and performed regularly laboratory tests. Mean follow-up of FBM therapy was 10 months (range 2-27). In this study, 5% of patients resulted to be seizure-free, 11% showed a seizure reduction more than 75%, 23% decreased their seizure frequency between 50% and 75% (P = 0.0001). The adverse events which were reported more frequently were: nausea, vomiting, anorexia and weight loss. Even if the patients sample is small FBM proves its efficacy in partial epilepsy, showing a relatively well tolerated profile.

Effect of valproic acid on the pharmacokinetic profile of oxcarbazepine in the rat

The pharmacokinetics of oxcarbazepine (30 mg kg-1, po), administered for 1 week, was studied in rats pre-treated for 2 weeks with valproic acid (100 mg kg-1, po). Oxcarbazepine (OXC) plasma levels were measured over a period of 24 h from dosing, using a sensitive HPLC method. No significant changes were observed in the mean values of OXC pharmacokinetic parameters (Cmax, Tmax, t1/2 and AUC0-infinity) between the control and the pre-treated groups. The findings of this study suggest that OXC metabolism in the rat is apparently not affected by valproic acid, and the lack of effect may be attributed to the different pathways of biotransformation of the two drugs.

Valproate population pharmacokinetics in children

OBJECTIVE

A population analysis of the kinetics of valproic acid (VPA) in children with epilepsy was performed in order to characterize the covariates which influence VPA clearance (CL).

METHODS

A total of 770 steady-state serum concentration samples was analysed. These were collected during VPA therapy from 255 children, aged 0.1-14 years and weighting 4-74 kg. Age, total body weight (TBW), VPA daily dose, sex and comedication with carbamazepine (CBZ) were considered as covariates. Population analysis was made with NONMEM program, assuming a one-compartment model, fixing the VPA absorption rate, bioavailability and distribution volume at values found in the literature. The results of the population pharmacokinetics analysis were validated in a group of 45 epileptic patients.

RESULTS

The final regression model for VPA clearance, that included TBW (kg), daily dose (mg/kg) and CBZ comedication as covariates with a significant influence on this parameter, was as follows: CL (L/h) = 0.012 TBW0.715 DOSE0.306(1.359 CBZ). The coefficient of variation for interpatient variability in CL was 21.4% and the residual variability estimated was 23.9% for a concentration of 65 mg/l. In order to estimate the predictive performance of the selected final model, predictions of the VPA serum concentrations were calculated and compared with VPA measured concentrations in the validation group. This assessment revealed an important improvement in the predictive performance of VPA concentrations in comparison with the basic model that did not include any covariates (root squared mean error: 19.50 vs. 39.73 mg/l).

CONCLUSION

A population pharmacokinetic model is proposed to estimate the individual CL for paediatric patients receiving VPA in terms of patient's dose, weight and concomitant CBZ, in order to establish a priori dosage regimens.

Carbamazepine-10,11-epoxide in therapeutic drug monitoring

Carbamazepine (CBZ) is widely used in the treatment of epilepsy, frequently in combination with other anticonvulsants. Its metabolite, carbamazepine-10,11-epoxide, is pharmacologically active and is increased with concurrent use of valproate and other anticonvulsants. This pharmacokinetic interaction may be particularly important because CBZ, its epoxide, phenytoin, and lamotrigine all act on fast voltage-dependent sodium channels. Over a 2-month period, routine serum requests for CBZ (n=47) (excluding known cases of overdose) were also analyzed for CBZ epoxide, phenytoin, and lamotrigine using a simultaneous high performance liquid chromatographic (HPLC) method. Valproate was measured using fluorescence polarization immunoassay (FPIA). With concurrent phenytoin and lamotrigine administration, there was a relative increase in CBZ epoxide and a significant decrease in the ratio of CBZ to epoxide (from more than 5 to 3). If valproate was also present, the concentration of parent and metabolite increased significantly, causing potential toxicity. Two patients in this latter group had significant clinical toxicity, with parent CBZ concentrations in the reference range; a third patient suffered from poor control of seizures. This study illustrates the importance of awareness of the contribution of active metabolites in therapeutic drug monitoring and raises questions about the role of the routine monitoring of such metabolites.

Modelling of the pharmacodynamic interaction between phenytoin and sodium valproate

Treatment of epilepsy with a combination of antiepileptic drugs remains the therapeutic choice when monotherapy fails. In this study, we apply pharmacokinetic-pharmacodynamic modelling to characterize the interaction between phenytoin (PHT) and sodium valproate (VPA). Male Wistar rats received a 40 mg kg(-1) intravenous dose of PHT over 5 min either alone or in combination with an infusion of VPA resulting in a steady-state concentration of 115.5+/-4.9 microg ml(-1). A control group received only the infusion of VPA. The increase in the threshold for generalized seizure activity (ATGS) was used as measure of the anticonvulsant effect. PHT pharmacokinetics was described by a pharmacokinetic model with Michaelis-Menten elimination. The concentration-time course and plasma protein binding of PHT were not altered by VPA. The pharmacokinetic parameters Vmax and Km were, respectively, 294+/-63 microg min(-1) and 7.8+/-2.4 microg ml(-1) in the absence of VPA and 562+/-40 microg min(-1) and 15.6+/-0.9 microg ml(-1) upon administration in combination with VPA. A delay of the onset of the effect relative to plasma concentrations of PHT was observed. The assessment of PHT concentrations at the effect site was based on the effect-compartment model, yielding mean ke0 values of 0.128 and 0.107 min(-1) in the presence and absence of VPA, respectively. A nonlinear relationship between effect-site concentration and the increase in the TGS was observed. The concentration that causes an increase of 50% in the baseline TGS (EC50%TGS) was used to compare drug potency. A shift of EC50%TGS from 13.27+3.55 to 4.32+/-0.52 microg ml(-1) was observed upon combination with VPA (P<0.01). It is concluded that there is a synergistic pharmacodynamic interaction between PHT and VPA in vivo.

Ticlopidine-induced phenytoin toxicity

OBJECTIVE

To report a probable case of ticlopidine-induced phenytoin toxicity.

CASE SUMMARY

A 72-year-old white man suddenly developed combative behavior, refused to leave his room, stopped eating, and began falling to the floor 6 weeks after being given ticlopidine. The total phenytoin concentration was measured at 43.6 micrograms/mL; the dosage of phenytoin was decreased and the symptoms later resolved. After ticlopidine was discontinued, the patient was rechallenged with the same dose of phenytoin without symptoms of toxicity.

DISCUSSION

Possible mechanisms of the drug interaction are discussed with emphasis on cytochrome P450 metabolism.

CONCLUSIONS

Clinicians should be aware of this potentially serious drug interaction and either avoid the phenytoin-ticlopidine combination, or monitor closely for phenytoin toxicity.

Pharmacodynamic interaction between phenytoin and sodium valproate changes seizure thresholds and pattern

1. In this study we used cortical stimulation to assess the effects of phenytoin (PHT), sodium valproate (VPA), and their interaction on total motor seizure and on the constituent elements of the seizure. 2. PHT (40 mg kg(-1)) was administered as an intravenous bolus infusion to animals receiving either a continuous infusion of VPA or saline. VPA plasma concentration was maintained at levels that produced no detectable anticonvulsant effect. 3. Analysis of ictal components (eyes closure, jerk, gasp, forelimb, clonus, and hindlimb tonus) and their durations revealed both qualitative and quantitative differences in drug effects. 4. The anticonvulsant effect is represented by the increase in the duration of the stimulation required to reach a given seizure threshold. PHT significantly increased the duration of the stimulation and of the motor seizure. This increase was greatly enhanced by VPA. In addition, ictal component analysis revealed that the combination of PHT and VPA causes the reduction of a specific seizure component (JERK). 5. Neither the free fraction of PHT nor the biophase equilibration kinetics changes in the presence of VPA. It is concluded that the synergism may be due to a pharmacodynamic rather than a pharmacokinetic interaction.

Inhibition and induction of cytochrome P450 and the clinical implications

The cytochrome P450s (CYPs) constitute a superfamily of isoforms that play an important role in the oxidative metabolism of drugs. Each CYP isoform possesses a characteristic broad spectrum of catalytic activities of substrates. Whenever 2 or more drugs are administered concurrently, the possibility of drug interactions exists. The ability of a single CYP to metabolise multiple substrates is responsible for a large number of documented drug interactions associated with CYP inhibition. In addition, drug interactions can also occur as a result of the induction of several human CYPs following long term drug treatment. The mechanisms of CYP inhibition can be divided into 3 categories: (a) reversible inhibition; (b) quasi-irreversible inhibition; and (c) irreversible inhibition. In mechanistic terms, reversible interactions arise as a result of competition at the CYP active site and probably involve only the first step of the CYP catalytic cycle. On the other hand, drugs that act during and subsequent to the oxygen transfer step are generally irreversible or quasi-irreversible inhibitors. Irreversible and quasi-irreversible inhibition require at least one cycle of the CYP catalytic process. Because human liver samples and recombinant human CYPs are now readily available, in vitro systems have been used as screening tools to predict the potential for in vivo drug interaction. Although it is easy to determine in vitro metabolic drug interactions, the proper interpretation and extrapolation of in vitro interaction data to in vivo situations require a good understanding of pharmacokinetic principles. From the viewpoint of drug therapy, to avoid potential drug-drug interactions, it is desirable to develop a new drug candidate that is not a potent CYP inhibitor or inducer and the metabolism of which is not readily inhibited by other drugs. In reality, drug interaction by mutual inhibition between drugs is almost inevitable, because CYP-mediated metabolism represents a major route of elimination of many drugs, which can compete for the same CYP enzyme. The clinical significance of a metabolic drug interaction depends on the magnitude of the change in the concentration of active species (parent drug and/or active metabolites) at the site of pharmacological action and the therapeutic index of the drug. The smaller the difference between toxic and effective concentration, the greater the likelihood that a drug interaction will have serious clinical consequences. Thus, careful evaluation of potential drug interactions of a new drug candidate during the early stage of drug development is essential.

Kinetic profile of carbamazepine in an adult Portuguese outpatient population

OBJECTIVE

The aim of our work was to define the kinetic profile of carbamazepine (CBZ), in order to improve on dosing schedules through a Bayesian approach.

METHOD

Carbamazepine dose/steady-state trough concentrations data pairs and associated information were collected retrospectively on a population of adult epileptic patients.

RESULTS

Fifty patients (index population) with two or more available concentrations (total of 174 determinations) met our inclusion criteria. Patients were taking CBZ (200-1800 mg/day) in mono- or polytherapy regimens. The analysis assumed a one-compartmental model with first-order absorption and elimination. Due to the data source (only trough concentrations were measured as part of hospital routine), the volume of distribution was fixed at 1.19 l/kg. The final estimates for CL were: 0.075 +/- 0.027 (mono- and polytherapy), 0.069 +/- 0.020 (monotherapy), and 0.106 +/- 0.037 l/h/kg (polytherapy). In order to validate these results, we assessed their predictive capacity using 18 new patients (validation population), submitted to the same inclusion criteria and using Prediction-Error analysis. The results suggested a different CL value for our population compared to earlier published clearance values. The results also pointed to an increased metabolic rate associated with polytherapy. The prediction capacity of the optimization method derived from a Portuguese population made in an a priori evaluation indicated a low error (-0.04 microg/ml), close to the theoretical zero value.

CONCLUSION

Our results provide specific data on CBZ disposition in a Portuguese population and given the wide variability in the literature values, our data may help improve dosing of CBZ in Portuguese patients.

Clinically relevant drug-drug interactions in oncology

Although anticancer agents are one of the most toxic classes of medication prescribed today, there is relatively little information available about clinically relevant drug-drug interactions. Pharmacokinetic drug interactions have been described, including alterations in absorption, catabolism, and excretion. For example, an increased bioavailability of 6-mercaptopurine has been observed when combined with either allopurinol or methotrexate, leading to increased toxicity in some patients. Induction of etoposide or teniposide clearance by anticonvulsants has also been described, resulting in a lower systemic exposure and risk for lower anticancer activity. Alterations in elimination of methotrexate has been observed with probenecid, presumably through competition for renal secretion. There are also several examples of pharmacodynamic interactions. The combination of 5-fluorouracil plus folinic acid results in more efficient inhibition of thymidylate synthase, a finding which is now utilized routinely in the treatment of colorectal cancer. Improvements in the in vitro and early clinical testing now allow a relatively high degree of prediction of potential clinical drug interactions, prior to observations of untoward drug effects. In conclusion, drug interactions among commonly used anticancer agents have been identified. Their clinical significance can have more impact than many other classes of medications due to the narrow therapeutic index of antineoplastic agents and the potential for lethal side-effects. It is only through prospective, preclinical and early clinical evaluation that the presence of clinically significant drug interactions can be identified and the information used to provide better therapy for this significant health problem.

New drugs for epilepsy

Seizure freedom with no side-effects is the aim of treatment, and new antiepileptic drugs have not lived up to expectations; only a few patients with chronic epilepsy have been rendered seizure-free. These treatments have side-effects but their safety profile may be better than older alternatives, although chronic effects have not yet been established. This article reviews newly marketed antiepileptic drugs. It concentrates on shortcomings of current antiepileptic treatment and on the way drugs are developed. A new approach to treatment is long overdue. The development of rational antiepileptic treatments should be strongly encouraged. More clinically relevant paradigms need to be developed and incorporated into clinical trial programmes as these are presently biased in their designs towards regulatory issues.

Monitoring blood levels of selected drugs. Remember to factor in the many confounding variables

Appropriate use of various pharmacologic agents involves not only awareness of therapeutic indications and side effects but also familiarity with clinical use and timing of blood level monitoring. The effective as well as the toxic level of antiepileptic drugs varies widely among patients, so the patient's response is more important than the serum drug level. These agents may interact with other disease states, other drugs, and even other antiepileptic agents. Because of digoxin's long half-life and the effect of physical exercise on serum concentration, the timing of serum collection is important. The usefulness of measuring amiodarone serum concentrations is controversial, but findings may help identify patients at risk for side effects related to the drug. Procainamide has a very short half-life and concentrations change over a short period, so blood levels of this agent should be measured before administration of a dose. The dose of levothyroxine required to restore a normal thyroid hormone level varies with age, coexistent conditions, and use of other medications. After the appropriate dose is determined, follow-up monitoring yearly is necessary (more often in the elderly). Efficacy and toxicity of theophylline are directly related to serum concentrations, and a reduced target level of 5 to 15 micrograms/mL has recently been suggested. Proper monitoring is important, because metabolic changes and drug interactions can cause either subtherapeutic or toxic levels.