Oral olanzapine disposition in adolescents with schizophrenia or bipolar I disorder: a population pharmacokinetic model

Population pharmacokinetics of olanzapine in pediatric patients with psychiatric disorders

OBJECTIVE

To develop and validate a population pharmacokinetic (PPK) model of oral olanzapine in pediatric Chinese patients in order to individualize therapy in this population.

METHODS

A total of 897 serum concentrations from 269 pediatric patients taking oral olanzapine (ages 8-17 years) were collected. Demographic parameters, biological characteristics and concomitant medications were investigated as covariates. The data were analyzed using a nonlinear mixed-effects modeling approach. Bootstrapping (1000 runs), normalized prediction distribution error (NPDE), and external validation of 62 patients were employed. Simulations were performed to explore the individualized dosing regimens in various situations.

RESULTS

The one-compartment model with first-order absorption and elimination had an apparent clearance (CL/F) of 10.38 L/h, a distribution volume (V/F) of 9.41 L/kg and an absorption rate constant (Ka) fixed at 0.3 h-1. The equation was CL∕F (L∕h) = 10.38 × (body weight∕60)0.25 ×1.33 (if male) × 0.71 (if co-occurrence of infection) × 0.51 (if co-therapy with fluvoxamine) × 1.27 (if co-therapy with sertraline) × 1.43 (if co-therapy with valproate). The final model had satisfactory stability, robustness, and predictive ability. The results from a simulation suggested the oral olanzapine doses required for male and female pediatric patients weighing between 40 and 60 kg without co-medication were 10-15 mg/day and 7.5-10 mg/day, respectively, and dosage adjustments should be based on sex and body weight; and co-administrated with valproate, sertraline, or fluvoxamine.

CONCLUSION

This model may help individualize optimum dosing of oral olanzapine for pediatric patients.

Clinical pharmacokinetics of antipsychotics in pediatric populations: a scoping review focusing on dosing regimen

INTRODUCTION

Achieving optimal clinical responses and minimizing side effects through precision dosing of antipsychotics in children and adolescents with psychiatric disorders remains a challenge. Identifying patient characteristics (covariates) that affect pharmacokinetics can inform more effective dosing strategies and ultimately improve patient outcomes. This review aims to provide greater insight into the impact of covariates on the clinical pharmacokinetics of antipsychotics in pediatric populations.

AREAS COVERED

A comprehensive literature search was conducted, and the main findings regarding the effects of the covariates on the pharmacokinetics of antipsychotics in children and adolescents are presented.

EXPERT OPINION

Our study highlights significant covariates, including age, sex, weight, CYP2D6 phenotype, co-medication, and smoking habits, which affect the pharmacokinetics of antipsychotics. However, the findings were generally limited by the small sample sizes of naturalistic, open-label, observational studies, and the homogeneous subgroups. Dosing based on weight and preemptive genotyping could prove beneficial for optimizing the dosing regimen in pediatric populations. Future research is needed to refine dosing recommendations and establish therapeutic reference ranges critical for precision dosing and Therapeutic Drug Monitoring (TDM). The integration of individual patient characteristics with TDM can further optimize the efficacy and safety of antipsychotics for each patient.

A Retrospective Analysis of Steady-State Olanzapine Concentrations in Chinese Patients Using Therapeutic Drug Monitoring: Effects of Valproate and Other Factors

BACKGROUND

The objective of this study was to investigate the serum concentrations of olanzapine in relation to age, sex, and other factors in Chinese patients aged between 10 and 90 years.

METHODS

Data for 884 olanzapine patients, deposited between 2016 and 2017, were retrieved from the therapeutic drug monitoring database of the Affiliated Brain Hospital of Guangzhou Medical University. The effects of covariates on serum olanzapine concentration, dose-normalized concentration (C/D ratio), and normalized concentration (C/D/weight) were investigated.

RESULTS

Generally, male patients had lower olanzapine concentration, C/D ratio, and C/D/weight than female patients (P < 0.001). Smoking and drinking reduced olanzapine concentration, C/D ratio, and C/D/weight (P < 0.001). Coadministration with valproate decreased olanzapine concentration, C/D ratio, and C/D/weight by about 16%, 30%, and 40%, respectively (P < 0.001). Patients younger than 60 years had higher olanzapine concentrations (P < 0.05) but lower C/D ratios and C/D/weight (P < 0.001) than patients older than 60 years. Age was correlated with olanzapine concentration (r = -0.082, P < 0.05), C/D ratio (r = 0.196, P < 0.001), and C/D/weight (r = 0.169, P < 0.001). Sample timing after dose and diagnostic factors also contributed to the olanzapine concentrations. Multiple linear regression analysis revealed significant influences of dosage, age, sex, valproate comedication, smoking, postdose interval, and schizophrenia (vs bipolar affective disorders) on serum olanzapine concentrations.

CONCLUSIONS

The metabolism of olanzapine may be altered by several factors. Patients characterized with a combination of factors may benefit from therapeutic drug monitoring for the adjustment of olanzapine dose to minimize adverse reactions.

Population Pharmacokinetics of Olanzapine and Samidorphan When Administered in Combination in Healthy Subjects and Patients With Schizophrenia

A combination of olanzapine and samidorphan was recently approved by the US Food and Drug Administration for the treatment of patients with schizophrenia or bipolar I disorder. Population pharmacokinetic models for olanzapine and samidorphan were developed using data from 11 clinical studies in healthy subjects or patients with schizophrenia. A 2‐compartment disposition model with first‐order absorption and elimination and a lag time for absorption adequately described concentration‐time profiles of both olanzapine and samidorphan. Age, sex, race, smoking status, and body weight were identified as covariates that impacted the pharmacokinetics of olanzapine. A moderate effect of body weight on samidorphan pharmacokinetics was identified by the model but was not considered clinically meaningful. The effects of food, hepatic or renal impairment, and coadministration with rifampin on the pharmacokinetics of olanzapine and samidorphan, as estimated by the population pharmacokinetic analysis, were consistent with findings from dedicated clinical studies designed to evaluate these specific covariates of interest. Food intake did not have a clinically relevant effect on the pharmacokinetics of olanzapine or samidorphan. Consistent with the known metabolic pathways for olanzapine (primarily via uridine 5′‐diphospho‐glucuronosyltransferase–mediated direct glucuronidation and cytochrome P450 [CYP]‐mediated oxidation) and for samidorphan (predominantly mediated by CYP3A4), coadministration of olanzapine and samidorphan with rifampin, a strong inducer of CYP3A4 and an inducer of uridine 5′‐diphospho‐glucuronosyltransferase enzymes, significantly decreased the systemic exposure of both olanzapine and samidorphan. Severe renal impairment or moderate hepatic impairment resulted in a modest increase in olanzapine and samidorphan exposure.

The Impact of Smoking, Sex, Infection, and Comedication Administration on Oral Olanzapine: A Population Pharmacokinetic Model in Chinese Psychiatric Patients

BACKGROUND AND OBJECTIVE: Prior olanzapine population pharmacokinetic (PPK) models have focused on the effects of sex and smoking on olanzapine clearance. This PPK model in Chinese adult psychiatric patients also investigated the influence of comedications and co-occurrence of infections on olanzapine clearance, and explored how to personalize oral olanzapine dosage in the clinical setting.

METHODS

A total of 1546 serum concentrations from 354 patients were collected in this study. A one-compartment model with first-order absorption was employed to develop the PPK model using a nonlinear mixed-effects modeling approach. Covariates included demographic parameters, co-occurrence of infection and concomitant medications (including dangguilonghui tablets, a Chinese herbal medicine for constipation). Bootstrap validation (1000 runs) and external validation of 50 patients were employed to evaluate the final model. Simulations were performed to explore the personalization of olanzapine dosing after stratification by sex, smoking, and comedication with valproate.

RESULTS

Typical estimates for the absorption rate constant (K_a), apparent clearance (CL/F), and apparent distribution volume (V/F) were 0.30 h^-1, 12.88 L/h, and 754.41 L, respectively. Olanzapine clearance was increased by the following variables: 1.23-fold by male sex, 1.23-fold by smoking, 1.23-fold by comedication with valproate, 1.16-fold by sertraline, and 2.01-fold by dangguilonghui tablets. Olanzapine clearance was decreased by the following variables: 0.75-fold by co-occurrence of infection, 0.70-fold by fluvoxamine, and 0.78-fold by perphenazine. The model evaluation indicated that the final model's performance was good, stable, and precise.

CONCLUSION

This study contributes to the personalization of oral olanzapine dosing, but further studies should be performed to verify the effects of infection and comedications, including valproate and dangguilonghui.

Population pharmacokinetics of olanzapine in children

AIMS

The aim of this study was to evaluate the population pharmacokinetics (PopPK) of olanzapine in children and devise a model-informed paediatric dosing scheme.

METHODS

The PopPK of olanzapine was characterized using opportunistically collected plasma samples from children receiving olanzapine per standard of care for any indication. A nonlinear mixed effect modelling approach was employed for model development using the software NONMEM (v7.4). Simulations from the developed PopPK model were used to devise a paediatric dosing scheme that targeted comparable plasma exposures to adolescents and adults.

RESULTS

Forty-five participants contributed 83 plasma samples towards the analysis. The median (range) postnatal age and body weight of participants were 3.8 years (0.2-19.2) and 14.1 kg (4.2-111.7), respectively. The analysis was restricted to pharmacokinetic (PK) samples collected following enteral administration (oral and feeding tube). A one-compartment model with linear elimination provided an appropriate fit to the data. The final model included the covariates body weight and postmenstrual age (PMA) on apparent olanzapine clearance (CL/F). Typical CL/F and apparent volume of distribution (scaled to 70 kg) were 16.8 L/h (21% RSE) and 663 L (13% RSE), respectively. Developed dosing schemes used weight-normalized doses for children ≤6 months postnatal age or <15 kg and fixed doses for children ≥15 kg.

CONCLUSION

We developed a paediatric PopPK model for enterally-administered olanzapine. To our knowledge, this analysis is the first study to characterize the PK of olanzapine in participants ranging from infants to adolescents. Body weight and PMA were identified as influential covariates for characterizing developmental changes in olanzapine apparent clearance.

Pharmacokinetics and Bioequivalence of 2 Olanzapine Orally Disintegrating Tablet Products in Healthy Chinese Subjects Under Fed and Fasting Conditions

To assess the bioequivalence of two 5-mg olanzapine orally disintegrating tablet (ODT) products, 2 randomized, open-label, single-dose, 2-way crossover studies were carried out under fasting or fed conditions. Blood samples were collected at scheduled times according to the study protocol. Statistical analysis of area under the concentration-time curve from time 0 to 168 hours (AUC_0-t ), area under the curve from time zero to infinity (AUC_0-∞ ), and peak plasma concentration (C_max ) was conducted. Two formulations were considered bioequivalent if the 90% confidence intervals (CIs) of the geometric mean ratios for AUC_0-t, AUC_0-∞ , and C_max were within the range of 0.80-1.25. Adverse events were recorded and evaluated throughout the studies. A total of 48 subjects with 24 in each study completed the 2 studies. In fasted subjects, the 90%CIs for the test product versus the reference product were 97.28%-105.13% for AUC_0-t , 97.57%-105.54% for AUC_0-∞ , and 90.94%-103.97% for C_max . In fed subjects, the 90%CIs for AUC_0-t , AUC_0-∞ and C_max were 99.73%-122.63%, 99.56%-121.75%, and 99.46%-120.46%, respectively. No serious adverse events were reported in the studies. The reference and the test product of 5-mg olanzapine ODT show comparable pharmacokinetic profiles under both fed and fasted conditions and were considered bioequivalent.

Understanding variability in the pharmacokinetics of atypical antipsychotics - focus on clozapine, olanzapine and aripiprazole population models

Antipsychotic medicines are widely used for the management of psychotic symptoms regardless of the underlying diagnosis. Most atypical antipsychotics undergo extensive metabolism prior to excretion. Various factors may influence their pharmacokinetics, particularly elimination, leading to highly variable drug concentrations between individual patients following the same dosing regimen. Population pharmacokinetic approach, based on nonlinear mixed effects modeling, is a useful tool to identify covariates explaining pharmacokinetic variability, as well as to characterize and distinguish unexplained residual and between-subject (interindividual) variability. In addition, this approach allows the use of both sparsely and intensively sampled data. In this paper, we reviewed the pharmacokinetic characteristics of clozapine, olanzapine and aripiprazole, focusing on a population modeling approach. In particular, models based on a nonlinear mixed effects approach performed by NONMEM^® software in order to identify and quantify sources of pharmacokinetic variability are presented. Population models were identified through systematic searches of PubMed and sixteen studies were selected. Some of the factors identified that significantly contribute to variability in elimination among clozapine, olanzapine, and aripiprazole are demographic characteristics, body weight, genetic polymorphism, smoking and in some cases drug interactions. Scientific research based on pharmacometric modeling is useful to further characterize sources of variability and their combined effect.

Psychopharmacologic Treatment of Schizophrenia in Adolescents and Children

An increasing number of antipsychotic medications have demonstrated efficacy in randomized placebo-controlled trials in the treatment of children and adolescents with schizophrenia. This review summarizes and synthesizes relevant antipsychotic medication studies, with particular emphasis on second-generation agents, and discusses other clinical considerations that may influence medication selection. With the exception of clozapine demonstrating superior efficacy in the improvement of psychotic symptoms in treatment-resistant patients, many antipsychotic agents have been shown to be similarly efficacious, including first-generation medications. Consideration of the side-effect profile, which can differ substantially from medication to medication, is essential when choosing treatment options.

A Population Pharmacokinetic and Pharmacodynamic Analysis of RP5063 Phase 2 Study Data in Patients with Schizophrenia or Schizoaffective Disorder

Background and Objective

RP5063 is a novel multimodal dopamine (D)–serotonin (5-HT) stabilizer possessing partial agonist activity for D_2/3/4 and 5-HT_1A/2A, antagonist activity for 5-HT_2B/2C/7, and moderate affinity for the serotonin transporter. Phase 2 trial data analysis of RP5063 involving patients with schizophrenia and schizoaffective disorder defined: (1) the pharmacokinetic profile; and (2) the pharmacokinetic/pharmacodynamic relationships.

Methods

Pharmacokinetic sample data (175 patients on RP5063; 28 doses/patient) were analyzed, utilized one- and two-compartment models, and evaluated the impact of covariates. Pharmacodynamic analysis involved development of an E_max model.

Results

The pharmacokinetic analysis identified a one-compartment model incorporating body mass index influence on volume as the optimum construct, with fixed-effect parameters: (1) oral clearance (Cl/F), 5.11 ± 0.11 L/h; (2) volume of distribution (V_c/F), 328.00 ± 31.40 L; (3) absorption constant (ka) 0.42 ± 0.17 h⁻¹; (4) lag time (t lag) of 0.41 ± 0.02 h; and (5) a calculated half-life of 44.5 h. Pharmacokinetics were linear related to dose. An E_max model for total Positive and Negative Syndrome Scale (PANSS) scores as the response factor against cumulative area under the curve (AUC) provided fixed-effect estimates: (1) E_o = 87.3 ± 0.71 (PANSS Units; pu); (2) E_max = − 31.60 ± 4.05 (pu); and (3) AUC₅₀ = 89.60 ± 30.10 (µg·h/mL). The predicted PANSS improvement reflected a clinical dose range of 5–30 mg.

Conclusions

Pharmacokinetics of RP5063 behaved predictably and consistently. Pharmacodynamics were characterized using an E_max model, reflecting total PANSS score as a function of cumulative AUC, that showed high predictability and low variability when correlated with actual observations.

Electronic supplementary material

The online version of this article (10.1007/s13318-018-0472-z) contains supplementary material, which is available to authorized users.

A Focused Review on the Treatment of Pediatric Patients with Atypical Antipsychotics

OBJECTIVES

The use of atypical antipsychotic medications in pediatric patients has become more prevalent in recent years. The purpose of this review is to provide a clinically relevant update of recent selected key publications regarding the use of atypical antipsychotics in this population.

METHODS

Studies reviewed included randomized, double-blind, placebo-controlled medication trials conducted within the past 5 years. A PubMed search was conducted for each of the 11 second-generation antipsychotic medications currently approved by the Food and Drug Administration for use in the United States: clozapine, risperidone, olanzapine, quetiapine, aripiprazole, ziprasidone, paliperidone, asenapine, iloperidone, lurasidone, and cariprazine. Trials published in English with subjects 18 years of age and younger were included in this review. Additional studies, chosen for their significance to clinical practice, were also included at the discretion of the authors.

RESULTS

This review demonstrates that more empiric data are available regarding both the acute efficacy and, to a lesser extent, the longer-term efficacy and tolerability for several of the considered antipsychotic medications. The clinical conditions for which these medications have been studied include schizophrenia, bipolar disorder, Tourette's disorder, and autism spectrum disorder. They have also been used as an adjunctive treatment for disruptive behavior disorders with aggression, which have not responded to treatment with stimulants.

CONCLUSION

Evidence regarding the efficacy and tolerability of antipsychotic medications for mental health disorders in children and adolescents has expanded exponentially in recent years. However, more information is needed so that evidence-based comparisons between medications can be made. In the future, data enabling the selection of medications based upon individual patient characteristics could potentially lead to greater efficacy and efficiency in treating what are frequently debilitating medical conditions. Maladaptive aggression in children, often treated with antipsychotics, is one such area in which there is a dearth of actual information available to the clinician. It is to be hoped that additional, longer-term studies of these medications will further inform evidence-based practice in clinical settings.

Development of a population pharmacokinetic model of olanzapine for Chinese health volunteers and patients with schizophrenia

OBJECTIVE

Olanzapine is an atypical antipsychotic drug commonly used for the treatment of schizophrenia. However, there are still many complications associated with the use of olanzapine, and researchers continually strive to improve the handling of data from regular therapeutic drug monitoring (TDM). The objective of this study is to optimise the individualised treatment of olanzapine by establishing a population pharmacokinetics (PopPK) model in Chinese patients with schizophrenia.

METHODS

This study integrates an extensive collection of concentration data from healthy volunteers after a single dose and a less extensive collection of samples from patients undergoing TDM. A PopPK model was developed using non-linear mixed-effects modelling. Potential covariates, including the olanzapine manufacturer and patient gender and age, were assessed during model development. A total of 616 plasma concentration levels from 22 healthy male individuals in China and 458 concentration levels from 112 male and 122 female patients with schizophrenia undergoing TDM at 12 hospitals in China were included in the analysis. The concentration profile could be best described using a two-compartment model with first-order absorption and elimination.

RESULTS

The absorption rate (Ka) of olanzapine ranged from 2.85 h-1 to 5.39 h-1 for the different formulations. The typical absorption time delay was 0.877 hour. Body weight had a considerable effect on the apparent volume of the centre compartment and showed a power relationship.

CONCLUSIONS

A PopPK model of olanzapine in Chinese patients with schizophrenia was developed in this study. After determining the PK parameters of olanzapine, the results suggested that body weight exhibited a considerable impact effect on VC/F. The impact of subjects and formulations requires further study. The PopPK model established in this study is likely to provide some information for the individualised therapy of olanzapine.

TRIAL REGISTRATION NUMBER

ChiCTR-TRC-10000934; Results.

Prediction of olanzapine exposure in individual patients using physiologically based pharmacokinetic modelling and simulation

AIM

The aim of the present study was to predict olanzapine (OLZ) exposure in individual patients using physiologically based pharmacokinetic modelling and simulation (PBPK M&S).

METHODS

A 'bottom-up' PBPK model for OLZ was constructed in Simcyp® (V14.1) and validated against pharmacokinetic studies and data from therapeutic drug monitoring (TDM). The physiological, demographic and genetic attributes of the 'healthy volunteer population' file in Simcyp® were then individualized to create 'virtual twins' of 14 patients. The predicted systemic exposure of OLZ in virtual twins was compared with measured concentration in corresponding patients. Predicted exposures were used to calculate a hypothetical decrease in exposure variability after OLZ dose adjustment.

RESULTS

The pharmacokinetic parameters of OLZ from single-dose studies were accurately predicted in healthy Caucasians [mean-fold errors (MFEs) ranged from 0.68 to 1.14], healthy Chinese (MFEs 0.82 to 1.18) and geriatric Caucasians (MFEs 0.55 to 1.30). Cumulative frequency plots of trough OLZ concentration were comparable between the virtual population and patients in a TDM database. After creating virtual twins in Simcyp®, the R2 values for predicted vs. observed trough OLZ concentrations were 0.833 for the full cohort of 14 patients and 0.884 for the 7 patients who had additional cytochrome P450 2C8 genotyping. The variability in OLZ exposure following hypothetical dose adjustment guided by PBPK M&S was twofold lower compared with a fixed-dose regimen - coefficient of variation values were 0.18 and 0.37, respectively.

CONCLUSIONS

Olanzapine exposure in individual patients was predicted using PBPK M&S. Repurposing of available PBPK M&S platforms is an option for model-informed precision dosing and requires further study to examine clinical potential.

Population pharmacokinetics analysis of olanzapine for Chinese psychotic patients based on clinical therapeutic drug monitoring data with assistance of meta-analysis

PURPOSE

The aim of this study was to build an eligible population pharmacokinetic (PK) model for olanzapine in Chinese psychotic patients based on therapeutic drug monitoring (TDM) data, with assistance of meta-analysis, to facilitate individualized therapy.

METHODS

Population PK analysis for olanzapine was performed using NONMEM software (version 7.3.0). TDM data were collected from Guangzhou Brain Hospital (China). Because of the limitations of TDM data, model-based meta-analysis was performed to construct a structural model to assist the modeling of TDM data as prior estimates. After analyzing related covariates, a simulation was performed to predict concentrations for different types of patients under common dose regimens.

RESULTS

A two-compartment model with first-order absorption and elimination was developed for olanzapine oral tablets, based on 23 articles with 390 data points. The model was then applied to the TDM data. Gender and smoking habits were found to be significant covariates that influence the clearance of olanzapine. To achieve a blood concentration of 20 ng/mL (the lower boundary of the recommended therapeutic range), simulation results indicated that the dose regimen of olanzapine should be 5 mg BID (twice a day), ≥ 5 mg QD (every day) plus 10 mg QN (every night), or >10 mg BID for female nonsmokers, male nonsmokers and male smokers, respectively.

CONCLUSION

The population PK model, built using meta-analysis, could facilitate the modeling of TDM data collected from Chinese psychotic patients. The factors that significantly influence olanzapine disposition were determined and the final model could be used for individualized treatment.

Therapeutic drug levels of second generation antipsychotics in youth: a systematic review

OBJECTIVE

In children and adolescents, the prevalence rate of mental illness is claimed to be as high as 10-20%. Effective pharmacological treatments are available for use in children, adolescents, and adults; however, most of what is known about the effects of these treatments has been confirmed in clinical studies involving adults only. Second generation antipsychotic drugs (SGAs) are the most common class of antipsychotic medication used in pediatric populations, and these drugs are increasingly being used for disorders other than psychosis. Many SGAs are routinely used in pediatric care, and the vast majority of use in this population is off label. Children, adolescents, and adults differ in age, weight, height, and metabolism, which may lead to pharmacokinetic differences in how drugs ultimately affect target tissues. The aim of this review is to summarize and evaluate the literature that investigated blood plasma levels of SGAs in youth.

METHODS

Plasma levels were assessed in relation to their administered dose, indication, and therapeutic range (if known). Studies were limited to those evaluating oral administration only. A systematic electronic database search for peer-reviewed articles published between 2000 and 2013 was conducted. Twenty-one articles were included in the review. Additional articles for discussion were also included throughout the article.

RESULTS

The only SGA that may require routine therapeutic drug monitoring (TDM) in youth given the current body of research is clozapine. Highly variable results were seen in studies of aripiprazole, olanzapine, and risperidone, indicating that more research is needed on plasma levels with these drugs. Quetiapine maintained a similar profile to that found in adults, with no dosage adjustments or indications of TDM.

CONCLUSION

TDM may be indicated in any circumstance in which cytochrome P450 inhibitors or inducers are coprescribed. Further research is required for establishing a sounder safety profile for SGA use in the pediatric population.

Safety and pharmacokinetics of atypical antipsychotics in children and adolescents

Pediatric behavioral and affective disorders often require antipsychotic therapy, in combination with psychotherapeutic interventions, for their treatment and stabilization. Although pharmacotherapy can include either typical or atypical antipsychotics, the latter are generally preferred because of their apparently lower risk of adverse effects. Recent controlled trials have demonstrated the efficacy of some of these agents (including aripiprazole, clozapine, olanzapine, paliperidone, quetiapine, risperidone, ziprasidone) in adolescent schizophrenia and children or adolescent bipolar mania, or to treat severe aggression and self-injury in the context of autism in children and adolescents. Although few studies have systematically monitored their short- and, more importantly, long-term safety, current evidence indicates that sedation, hyperprolactinemia, and metabolic abnormalities such as excess weight gain, diabetes, and related cardiovascular effects were clinically relevant adverse effects in young patients, with the individual agents differing in their propensity to induce these effects. When prescribing antipsychotics for children and adolescents, physicians should therefore be aware of the specific adverse effect profiles and patients should be closely monitored for the short- and long-term development of adverse events. In pediatric patients, the starting dose, titration plan, and maintenance dose of antipsychotics must be based on their pharmacokinetics and metabolism, as in adults. Because there are significant individual differences in drug and active metabolite(s) pharmacokinetics and metabolism, which may be further affected by a number of confounding factors (including demographic variables, phenotype and drug interactions), therapeutic drug monitoring may be a valid tool for individualizing dosage, but its interpretation should also take account of changes in pharmacodynamic sensitivity with the development during childhood and adolescence.

Comparison of long-term (at least 24 weeks) weight gain and metabolic changes between adolescents and adults treated with olanzapine

OBJECTIVE

The purpose of these analyses was to compare the weight and other metabolic changes between adolescents and adults during long-term (at least 24 weeks) olanzapine treatment.

METHOD

The adult database included 86 studies with 12,425 patients with schizophrenia, schizoaffective disorder, depression, borderline personality disorder, or bipolar I disorder; the adolescent database comprised six studies with 489 patients with schizophrenia, schizoaffective disorder, borderline personality disorder, bipolar I disorder, or prodromal psychosis. Patients who had at least 24 weeks of olanzapine exposure (N=4,280 from adult database and N=179 from adolescent database) were analyzed in this study. Weight data were collected for all patients, fasting glucose and lipids data were collected in some patients. For weight gain, data in 34.5% adults (4,280/12,425) and 36.6% adolescents (179/489) were analyzed while for glucose and lipids, data in 8.4% (1,038/12,425) adults and 24.9% adolescents (122/489) were analyzed. Adult patients were treated with oral (5-20 mg/day) or depot formulations (doses equivalent to oral doses of 5-20 mg/day) of olanzapine and adolescent patients were treated with oral olanzapine (2.5-20 mg/day). The incidences of potentially clinically significant categorical changes in weight and metabolic parameters were calculated with a 95% confidence interval (CI). Nonoverlapping 95% CIs were considered as indicating a statistically significant difference. Weight, lipid, and glucose change comparisons are summarized.

RESULTS

The mean age for adolescents and adults was 15.8 and 38.8, respectively. The percentage of the male population was similar for both adults (58.5%) and adolescents (62.8%). The median duration of the follow-up period was 201 days for adolescent database and 280 days for adult database. The mean weight gain from baseline to endpoint in adolescents was 11.24 kg when compared with 4.81 kg in adults. The 95% CI for adolescents (10.1, 12.4) and adults (4.57, 5.04) are not overlapping, which indicates that the difference between adolescents and adults is statistically significant. The percentage of olanzapine-treated adolescents with ≥ 7% mean weight gain was 89.4% compared with 55.4% in adults (Number need to harm [NNH]=3). Mean changes from baseline to endpoint were also greater for adolescents than for adults in fasting total cholesterol (5.49 mg/dL vs. 2.06 mg/dL), LDL (5.41 mg/dL vs. 0.49 mg/dL), and triglycerides (20.49 mg/dL vs. 16.72 mg/dL), but overlapping 95% CIs were observed for all lipid parameters. Mean changes from baseline to endpoint in fasting glucose values were similar between adolescents and adults (3.13 mg/dL vs. 3.95 mg/dL). However, the incidence of treatment-emergent significant glucose changes was greater in adults. Among olanzapine-treated adults and adolescents, 8.9% and 0.9% experienced a shift from normal to high and 12.5% and 3.3% experienced a shift from normal/impaired glucose tolerance (IGT) to high fasting glucose, respectively. The incidence of IGT to high elevations in glucose was greater in adolescents, but overlapping 95% CI was observed.

CONCLUSIONS

The types of metabolic changes during the long-term olanzapine treatment in adolescents were similar to those observed in adults. However, the magnitude of changes in weight and lipid parameters was greater in adolescents. Patients should receive regular monitoring of weight, fasting blood glucose, and lipid profile at the beginning of, and periodically during, treatment with olanzapine.

Plasma olanzapine in relation to prescribed dose and other factors: data from a therapeutic drug monitoring service, 1999-2009

Olanzapine therapeutic drug monitoring (TDM) is the measurement of plasma olanzapine to assess adherence and guide dosage. We have audited data from an olanzapine TDM service, 1999-2009. Multiple linear regression analysis was conducted to investigate the contribution of dose, age, sex, body weight, and smoking status to the plasma olanzapine concentration. There were 5856 samples from 3207 patients. The prescribed olanzapine dosage was 2.5 to 95 mg/d. No olanzapine was detected in 6% of samples. For olanzapine dosages of 2.5 to 20 mg/d, only 35% of results were within a suggested target range of 20 to 39 ng/mL. At doses above 20 mg/d, 30% to 59% of results were 60 ng/mL or greater depending on dose band. In patients aged 17 years or younger (92 samples), median plasma olanzapine was higher than that in adult patients at almost all olanzapine doses. Multiple linear regression analysis of results from 627 adults from whom complete data were available showed that dose, smoking status, sex, age, and body weight together explained 24% the variance in plasma olanzapine. Degree of adherence, timing of sample postdose, drug-drug interactions, and pharmacogenetic factors also may have contributed to the observed variance. However, it is clear that female nonsmokers had higher plasma olanzapine concentrations for a given dose than male smokers. Olanzapine TDM is useful in assessing adherence and may have a role in limiting olanzapine dosage to minimize the risk of long-term toxicity.

Olanzapine: in adolescents with schizophrenia or bipolar I disorder

Olanzapine is an atypical antipsychotic that, in addition to its use in adults, is now indicated for the treatment of schizophrenia, and manic or mixed episodes associated with bipolar I disorder in adolescents aged 13-17 years. In a randomized, double-blind, multicentre, 6-week trial in adolescents aged 13-17 years with schizophrenia, the least squares mean reduction from baseline to 6 weeks in the Brief Psychiatric Rating Scale for Children (BPRS-C) total score (primary endpoint) was significantly greater with olanzapine than with placebo. In a randomized, double-blind, multicentre, 3-week trial in adolescents, aged 13-17 years, with manic or mixed episodes associated with bipolar I disorder, the mean reduction from baseline to 3 weeks in the Adolescent Structured Young Mania Rating Scale (YMRS) total score (primary endpoint) was significantly greater with olanzapine than with placebo. In extensions of each of the pivotal placebo-controlled trials in schizophrenia and bipolar mania, open-label treatment with olanzapine for up to 26 weeks produced significant reductions from baseline to endpoint in BPRS-C and YMRS total scores, respectively. Oral olanzapine was generally well tolerated in adolescents with schizophrenia or bipolar mania. Sedation and weight gain were the most common adverse events in placebo-controlled trials. Extrapyramidal symptoms were reported by 10% of olanzapine recipients compared with 6% of placebo recipients. Olanzapine-treated adolescents were likely to experience greater increases in bodyweight, sedation, blood lipids, serum prolactin and liver transaminase levels than olanzapine-treated adults. Therefore, careful consideration of risk-benefit is recommended before using olanzapine in adolescents.