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Background This was a Japanese subpopulation analysis of MONARCH 2, a double-blind, randomized, placebo-controlled, phase 3 study of abemaciclib plus fulvestrant in patients with hormone receptor-positive, human epidermal growth factor receptor 2-negative advanced breast cancer (ABC). Methods Eligible women had progressed on (neo)adjuvant endocrine therapy (ET), ≤ 12 months from end of adjuvant ET, or on first-line ET for ABC, and had not received chemotherapy for ABC. Patients were randomized 2:1 to receive abemaciclib or placebo plus fulvestrant. The primary endpoint was progression-free survival (PFS). Secondary endpoints included overall survival (OS), pharmacokinetics (PK), health-related quality of life (HRQoL), and safety. Results In Japan, 95 patients were randomized (abemaciclib, n = 64; placebo, n = 31). At final PFS analysis (February 14, 2017), median PFS was 21.2 and 14.3 months, respectively, in the abemaciclib and placebo groups (hazard ratio: 0.672; 95% confidence interval: 0.380–1.189). Abemaciclib had a higher objective response rate (37.5%) than placebo (12.9%). PK and safety profiles for Japanese patients were consistent with those of the overall population, without clinically meaningful differences across most HRQoL dimensions evaluated. The most frequent adverse events in the abemaciclib versus placebo groups were diarrhea (95.2 versus 25.8%), neutropenia (79.4 versus 0%), and leukopenia (66.7 versus 0%). At a second data cutoff (June 20, 2019), median OS was not reached with abemaciclib and 47.3 months with placebo (hazard ratio: 0.755; 95% confidence interval: 0.390–1.463). Conclusions Results of the Japanese subpopulation were consistent with the improved clinical outcomes and manageable safety profile observed in the overall population. Clinical trial registration NCT02107703; U.S. National Library of Medicine: https://clinicaltrials.gov/ct2/show/NCT02107703.

Abemaciclib is an oral anticancer drug that inhibits cyclin dependent kinases 4 and 6 and is metabolized by cytochrome P450 3A in the intestines and liver to active metabolites. The objectives were (1) to develop a mechanistic model to characterize the pharmacokinetics (PK) of the active moieties and investigate the effect of patient factors and (2) apply the model to dat from two phase III breast cancer trials of abemaciclib in combination with endocrine therapy. To develop the model, data from seven phase I studies and two phase II studies including 421 patients with cancer and 65 healthy individuals were pooled for nonlinear mixed effects modeling. The PK was similar between patients and healthy subjects, and the effects of diarrhea, formulation, race, and patient covariates on exposure were negligible. Application of the model confirmed its predictive performance and that abemaciclib PK did not change when coadministered with endocrine therapy.

Background This was a Japanese subpopulation analysis of MONARCH 3, a randomized, double-blind, placebo-controlled phase 3 study of abemaciclib plus nonsteroidal aromatase inhibitors (NSAIs) for initial therapy for advanced breast cancer (ABC). Methods Eligibility included postmenopausal women with hormone receptor-positive, human epidermal growth factor receptor 2-negative ABC who had no prior systemic therapy in the advanced disease setting. Patients (N = 493) were randomized 2:1 to receive abemaciclib or placebo (150 mg) plus either 1 mg anastrozole or 2.5 mg letrozole (physician’s choice). The primary endpoint was progression-free survival (PFS). Secondary endpoints included objective response rate (ORR), pharmacokinetics (PK), safety, and health-related quality of life (HRQoL). Results In Japan, 53 patients were randomized (abemaciclib, n = 38; placebo, n = 15). At final PFS analysis (November 3, 2017), median PFS was 29.1 and 14.9 months in the abemaciclib and placebo groups, respectively (hazard ratio 0.537; 95% confidence interval 0.224–1.289). ORR in measurable disease was 62.1 and 50.0% in the abemaciclib and placebo groups, respectively. The Japanese PK profile was comparable to that of the overall population. Consistent with prior studies, the most frequent adverse events reported were diarrhea (abemaciclib: any grade, 94.7%; grade ≥ 3, 10.5%; placebo: any grade, 46.7%; grade ≥ 3, 0%) and neutropenia (abemaciclib: any grade, 68.4%; grade ≥ 3, 21.1%; placebo: any grade, 0%). HRQoL outcomes were generally similar between treatments except for the diarrhea score, which favored placebo. Conclusions Consistent with findings in the overall population, abemaciclib plus NSAI was an effective initial treatment in the Japanese subpopulation, with a manageable safety profile. Clinical trial registration NCT02246621; U.S. National Library of Medicine: https://clinicaltrials.gov/ct2/show/NCT02246621.

Immunogenicity is a major challenge in drug development and patient care. Currently, most efforts are dedicated to the elimination of the unwanted immune responses through T‐cell epitope prediction and protein engineering. However, because it is unlikely that this approach will lead to complete eradication of immunogenicity, we propose that quantitative systems pharmacology models should be developed to predict and manage immunogenicity. The potential impact of such a mechanistic model‐based approach is precedented by applications of physiologically‐based pharmacokinetics.

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT • Integrating individual data from multiple sources in one simultaneous population analysis (sometimes called a mega-model) can address novel research questions and add power for covariate detection without requiring new clinical studies. However, the development of this type of model can be challenging and time consuming. • Nevirapine is a non-nucleoside reverse transcriptase inhibitor commonly used for treatment of human immunodeficiency virus infection in resource-limited settings. WHAT THIS STUDY ADDS • This study outlines a strategy for integration of data from multiple sources for modelling analysis. It provides suggestions on handling of missing covariates in the context of several data sources and a starting point for development of a multinational nevirapine mega-model. AIMS To propose a modelling strategy to efficiently integrate data from different sources in one simultaneous analysis, using nevirapine population pharmacokinetic data as an example. METHODS Data from three studies including 115 human immunodeficiency virus-infected South African adults were used. Patients were on antiretroviral therapy regimens including 200 mg nevirapine twice daily and sampled at steady state. A development process was suggested, implemented in NONMEM7 and the final model evaluated with an external data set. RESULTS A stepwise approach proved efficient. Model development started with the intensively sampled data. Data were added sequentially, using visual predictive checks for inspecting their compatibility with the existing model. Covariate exploration was carried out, and auxiliary regression models were designed for imputation of missing covariates. Nevirapine pharmacokinetics was described by a one-compartment model with absorption through two transit compartments. Body size was accounted for using allometric scaling. The model included a mixture of two subpopulations with different typical values of clearance, namely fast (3.12 l h−1) and slow metabolizers (1.45 l h−1), with 17% probability of belonging to the latter. Absorption displayed large between-occasion variability, and food slowed the absorption mean transit time from 0.6 to 2.5 h. Concomitant antitubercular treatment including rifampicin typically decreased bioavailability by 39%, with significant between-subject variability. Visual predictive checks of external validation data indicated good predictive performance. CONCLUSIONS The development strategy succeeded in integrating data from different sources to produce a model with robust parameter estimates. This work paves the way for the creation of a nevirapine mega-model, including additional data from numerous diverse sources.

Interpretation of antiretroviral drug concentration measurements could be aided by information about adherence to recent doses. We developed a population pharmacokinetic model of lamivudine in young children to propose reference lamivudine concentrations for evaluation of adherence to recent treatment doses.The steady state pharmacokinetics of lamivudine were evaluated in 68 young HIV-infected children receiving antiretroviral treatment twice daily. A population pharmacokinetic analysis was conducted using NONMEM 7.A 2-compartment model with transit absorption best described lamivudine pharmacokinetics. After adjustment for maturation and body weight (using allometric scaling), the variability of clearance was small, hence simulations could accurately predict lamivudine concentrations. Higher lamivudine trough concentrations were detected before the morning dose, possibly owing to slower overnight clearance. Reference values for lamivudine concentrations that can be used to evaluate adherence to recent doses are proposed.Lamivudine concentration measurement can be used to assess recent treatment adherence.

Background The preferred antiretroviral regimen for young children previously exposed to non-nucleoside reverse transcriptase inhibitors is lopinavir/ ritonavir plus two nucleoside reverse transcriptase inhibitors. Rifampicin-based antitubercular treatment reduces lopinavir concentrations. Adding extra ritonavir to lopinavir/ ritonavir overcomes the effect of rifampicin, however this approach is not feasible in many settings. Methods We developed an integrated population model describing lopinavir and ritonavir pharmacokinetics to predict lopinavir/ritonavir (4:1) doses achieving target lopinavir exposures in children treated for tuberculosis. The model included data from 15 children given ‘super-boosted’ lopinavir (lopinavir/ritonavir = 1:1) and 20 children given twice the standard dose of lopinavir/ritonavir every 12 h during antitubercular treatment, and from children given standard lopinavir/ritonavir doses every 12 h (39 without tuberculosis and 11 sampled again after antitubercular treatment). Results A one-compartment model with first- order absorption and elimination best described the pharmacokinetics of lopinavir and a one-compartment model with transit absorption compartments described ritonavir pharmacokinetics. The dynamic influence of ritonavir concentration on lopinavir oral clearance was modelled as direct inhibition with an Emax model. Antitubercular treatment reduced the oral bioavailability of lopinavir by 77% in children receiving twice usual lopinavir/ritonavir doses and increased ritonavir clearance by 50%. Simulations predicted that respective 27, 21, 20 and 18 mg/kg 8-hourly doses of lopinavir (in lopinavir/ritonavir, 4:1) maintains lopinavir concentrations >1 mg/l in at least 95% of children weighing 3–5.9, 6–9.9, 10–13.9 and 14–19.9 kg. Conclusions The model describing the interactions between lopinavir, ritonavir and rifampicin in young children predicted feasible 8-hourly doses of lopinavir/ ritonavir resulting in therapeutic lopinavir concentrations during antitubercular treatment.

Rifapentine and its primary metabolite, 25-desacetyl rifapentine, are active against mycobacterium tuberculosis. The objectives of this study were to describe the population pharmacokinetics of rifapentine and 25-desacetyl rifapentine in fasting and fed states. Thirty-five male healthy volunteers were enrolled in an open-label, randomized, sequential, five-way crossover study. Participants received a single 900-mg dose of rifapentine after meals with high fat (meal A), bulk and low fat (meal B), bulk and high fat (meal C), high fluid and low fat (meal D), or 200 ml of water (meal E). Venous blood samples were collected over 72 h after each rifapentine dose, and plasma was analyzed for rifapentine and 25-desacetyl rifapentine using high-performance liquid chromatography. Pharmacokinetic data were analyzed by nonlinear mixed-effect modeling using NONMEM. Compared with the fasting state, meal A had the greatest effect on rifapentine oral bioavailability, increasing it by 86%. Meals B, C, and D resulted in 33%, 46%, and 49% increases in rifapentine oral bioavailability, respectively. Similar trends were observed for 25-desacetyl rifapentine. As meal behavior has a substantial impact on rifapentine exposure, it should be considered in the evaluation of optimal dosing approaches.

Background and Objectives Oral enzalutamide (160 mg once daily) is approved for the treatment of metastatic castration-resistant prostate cancer (mCRPC). This article describes the pharmacokinetics of enzalutamide and its active metabolite N-desmethyl enzalutamide. Methods Results are reported from five clinical studies. Results In a dose-escalation study (n = 140), enzalutamide half-life was 5.8 days, steady state was achieved by day 28, accumulation was 8.3-fold, exposure was approximately dose proportional from 30–360 mg/day, and intersubject variability was ≤30 %. In a mass balance study (n = 6), enzalutamide was primarily eliminated by hepatic metabolism. Renal excretion was an insignificant elimination pathway for enzalutamide and N-desmethyl enzalutamide. In a food-effect study (n = 60), food did not have a meaningful effect on area under the plasma concentration–time curve (AUC) of enzalutamide or N-desmethyl enzalutamide, and in an hepatic impairment study, AUC of the sum of enzalutamide plus N-desmethyl enzalutamide was similar in men with mild (n = 6) or moderate (n = 8) impairment (Child–Pugh Class A and B) versus men with normal hepatic function (n = 14). In a phase III trial, an exposure-response analysis of steady-state predose (trough) concentrations (Ctrough) versus overall survival (n = 1103) showed that active treatment Ctrough quartiles for 160 mg/day were uniformly beneficial relative to placebo, and no threshold of Ctrough was associated with a statistically significant better response. Conclusions Enzalutamide has predictable pharmacokinetics, with low intersubject variability. Similar efficacy was observed in patients across the concentration/exposure range associated with a fixed oral dose of enzalutamide 160 mg/day. Electronic supplementary material The online version of this article (doi:10.1007/s40262-015-0271-5) contains supplementary material, which is available to authorized users.

Isoniazid preventive therapy is recommended in patients on antiretroviral therapy. Isoniazid inhibits CYP3A4, which metabolizes nevirapine. Administration of isoniazid may cause higher nevirapine concentrations and toxicity. We studied the effect of isoniazid on nevirapine concentrations in 21 patients randomized to either placebo (n=13) or isoniazid (n=8) in an ongoing trial of IPT in patients on ART. Isoniazid was associated with a 24% increase in median nevirapine AUC0-12, which was not statistically significant (p=0.66).

The integrated glucose-insulin (IGI) model is a previously developed semi-mechanistic model that incorporates control mechanisms for the regulation of glucose production, insulin secretion, and glucose uptake. It has been shown to adequately describe insulin and glucose profiles in both type 2 diabetics and healthy volunteers following various glucose tolerance tests. The aim of this study was to investigate the ability of the IGI model to correctly identify the primary mechanism of action of glibenclamide (Gb), based on meal tolerance test (MTT) data in healthy volunteers. IGI models with different mechanism of drug action were applied to data from eight healthy volunteers participating in a randomized crossover study with five single-dose tests (placebo and four drug arms). The study participants were given 3.5 mg of Gb, intravenously or orally, or 3.5 mg of the two main metabolites M1 and M2 intravenously, 0.5 h prior to a standardized breakfast with energy content of 1800 kJ. Simultaneous analysis of all data by nonlinear mixed effect modeling was performed using NONMEM(®). Drug effects that increased insulin secretion resulted in the best model fit, thus identifying the primary mechanism of action of Gb and metabolites as insulin secretagogues. The model also quantified the combined effect of Gb, M1 and M2 to have a fourfold maximal increase on endogenous insulin secretion, with an EC(50) of 169.1 ng mL(-1) for Gb, 151.4 ng mL(-1) for M1 and 267.1 ng mL(-1) for M2. The semi-mechanistic IGI model was successfully applied to MTT data and identified the primary mechanism of action for Gb, quantifying its effects on glucose and insulin time profiles.

To propose a modelling strategy to efficiently integrate data from different sources in one simultaneous analysis, using nevirapine population pharmacokinetic data as an example.Data from three studies including 115 human immunodeficiency virus-infected South African adults were used. Patients were on antiretroviral therapy regimens including 200 mg nevirapine twice daily and sampled at steady state. A development process was suggested, implemented in NONMEM7 and the final model evaluated with an external data set.A stepwise approach proved efficient. Model development started with the intensively sampled data. Data were added sequentially, using visual predictive checks for inspecting their compatibility with the existing model. Covariate exploration was carried out, and auxiliary regression models were designed for imputation of missing covariates. Nevirapine pharmacokinetics was described by a one-compartment model with absorption through two transit compartments. Body size was accounted for using allometric scaling. The model included a mixture of two subpopulations with different typical values of clearance, namely fast (3.12 l h(-1)) and slow metabolizers (1.45 l h(-1)), with 17% probability of belonging to the latter. Absorption displayed large between-occasion variability, and food slowed the absorption mean transit time from 0.6 to 2.5 h. Concomitant antitubercular treatment including rifampicin typically decreased bioavailability by 39%, with significant between-subject variability. Visual predictive checks of external validation data indicated good predictive performance.The development strategy succeeded in integrating data from different sources to produce a model with robust parameter estimates. This work paves the way for the creation of a nevirapine mega-model, including additional data from numerous diverse sources.

Ethambutol, one of four drugs in the first-line antitubercular regimen, is used to protect against rifampin resistance in the event of preexisting resistance to isoniazid. The population pharmacokinetics of ethambutol in South African patients with pulmonary tuberculosis were characterized using nonlinear mixed-effects modeling. Patients from 2 centers were treated with ethambutol (800 to 1,500 mg daily) combined with standard antitubercular medication. Plasma concentrations of ethambutol were measured following multiple doses at steady state and were determined using a validated high-pressure liquid chromatography-tandem mass spectrometric method. The data comprised 189 patients (54% male, 12% HIV positive) weighing 47 kg, on average (range, 29 to 86 kg), and having a mean age of 36 years (range, 16 to 72 years). The estimated creatinine clearance was 79 ml/min (range, 23 to 150 ml/min). A two-compartment model with one transit compartment prior to first-order absorption and allometric scaling by body weight on clearance and volume terms was selected. HIV infection was associated with a 15% reduction in bioavailability. Renal function was not related to ethambutol clearance in this cohort. Interoccasion variability exceeded interindividual variability for oral clearance (coefficient of variation, 36 versus 20%). Typical oral clearance in this analysis (39.9 liters/h for a 50-kg individual) was lower than that previously reported, a finding partly explained by the differences in body weight between the studied populations. In summary, a population model describing the pharmacokinetics of ethambutol in South African tuberculosis patients was developed, but additional studies are needed to characterize the effects of renal function.

Valacyclovir provides enhanced acyclovir bioavailability in adults, but limited data are available in children.Children 1 month through 5 years of age with or at risk for herpesvirus infection received a single 25 mg/kg dose of extemporaneously compounded valacyclovir oral suspension (n = 57), whereas children 1 through 11 years of age received 10 mg/kg valacyclovir oral suspension twice daily for 3-5 days (herpes simplex virus infection) (n = 28) or 20 mg/kg 3 times daily for 5 days (varicella-zoster virus infection) (n = 27). Blood samples for pharmacokinetic analysis were collected during the 6 h after the first dose. Safety was monitored throughout the studies.Dose proportionality in the maximum observed concentration (C(max)) of acyclovir and the area under the concentration-time curve from time zero extrapolated to infinity (AUC(0-infinity)) existed across the 10 to 20 mg/kg valacyclovir dose range. For children 2 through 5 years of age, an increase in dose from 20 to 25 mg/kg resulted in near doubling of the C(max) and AUC(0-infinity). Among infants 1 through 2 months of age receiving 25 mg/kg, the mean AUC(0-infinity) and C(max) were higher ( approximately 60% and 30%, respectively) than those among older infants and children receiving the same dose. Valacyclovir oral suspension was well tolerated. No clinically significant trends were noted in clinical chemical, hematologic, or urinalysis values from screening to follow-up.Among children 3 months through 11 years of age, the 20 mg/kg dose of this formulation of valacyclovir oral suspension produces favorable acyclovir blood concentrations and is well tolerated. A dosing recommendation cannot be made for infants3 months of age because of decreased clearance in this age group. Trial registration. ClinicalTrials.gov identifier: NCT00297206 .

Parenteral phenobarbitone was unavailable in South Africa from 2005 to 2006. This study aimed to establish the effectiveness of enteral phenobarbitone in the management of childhood status epilepticus.Patients in status epilepticus (December 2005-June 2006) received 20 mg/kg phenobarbitone via nasogastric tube in addition to standard status interventions (benzodiazepine boluses, phenytoin infusion). Phenobarbitone concentrations were taken post loading. Phenobarbitone population pharmacokinetics was analysed using non-linear mixed effects modelling.Sixteen patients (7 female, 9 male) were assessed, median age 5 months (range 9 days-168 months). Nine patients received 20 mg/kg; the maximum total dosage administered was 80 mg/kg with a concentration of 283 micromol/L. The typical population value of the volume of distribution was 1.2 (95% confidence interval (CI): 0.8-1.6) L/kg with interindividual variability (as coefficient of variation) of 53% (95% CI, 9-74%). Seizure control was documented within 1 h (n= 8), 1(1)/(2) h (n= 1), 3 h (n= 1) and 4 h (n= 5) following enteral phenobarbitone loading. No adverse effects were apparent from the enteral phenobarbitone administration.Patients tolerated enteral loading with phenobarbitone. A single enteral loading dose resulted in adequate phenobarbitone exposure. This practice was a safe intervention for centres lacking parenteral phenobarbitone. Therapeutic concentrations and seizure control after enteral loading suggested a role for enteral phenobarbitone in the management of acute status epilepticus as well as prophylaxis against seizure recurrence.

Background and Objectives Two phase I drug interaction studies were performed with oral enzalutamide, which is approved for the treatment of metastatic castration-resistant prostate cancer (mCRPC). Methods A parallel-treatment design (n = 41) was used to evaluate the effects of a strong cytochrome P450 (CYP) 2C8 inhibitor (oral gemfibrozil 600 mg twice daily) or strong CYP3A4 inhibitor (oral itraconazole 200 mg once daily) on the pharmacokinetics of enzalutamide and its active metabolite N-desmethyl enzalutamide after a single dose of enzalutamide (160 mg). A single-sequence crossover design (n = 14) was used to determine the effects of enzalutamide 160 mg/day on the pharmacokinetics of a single oral dose of sensitive substrates for CYP2C8 (pioglitazone 30 mg), CYP2C9 (warfarin 10 mg), CYP2C19 (omeprazole 20 mg), or CYP3A4 (midazolam 2 mg). Results Coadministration of gemfibrozil increased the composite area under the plasma concentration–time curve from time zero to infinity (AUC∞) of enzalutamide plus active metabolite by 2.2-fold, and coadministration of itraconazole increased the composite AUC∞ by 1.3-fold. Enzalutamide did not affect exposure to oral pioglitazone. Enzalutamide reduced the AUC∞ of oral S-warfarin, omeprazole, and midazolam by 56, 70, and 86 %, respectively; therefore, enzalutamide is a moderate inducer of CYP2C9 and CYP2C19 and a strong inducer of CYP3A4. Conclusions If a patient requires coadministration of a strong CYP2C8 inhibitor with enzalutamide, then the enzalutamide dose should be reduced to 80 mg/day. It is recommended to avoid concomitant use of enzalutamide with narrow therapeutic index drugs metabolized by CYP2C9, CYP2C19, or CYP3A4, as enzalutamide may decrease their exposure. Electronic supplementary material The online version of this article (doi:10.1007/s40262-015-0283-1) contains supplementary material, which is available to authorized users.

Background Despite the efficacy of combination antiretroviral therapy (ART) and the improvement in prognosis of those living with HIV/AIDS, a large proportion of individuals on ART does not achieve or maintain adequate virological suppression. Several tools have been proposed to enhance ART outcomes, including therapeutic drug monitoring (TDM) of antiretrovirals (ARVs). The aim of ARV TDM is to identify elevated (potentially toxic) or low (potentially sub-therapeutic) ARV concentrations. ARV TDM may thus optimise efficacy and minimise toxicity of ART. Objectives To evaluate whether ARV TDM reduces mortality and morbidity of adult patients on ART. The primary outcome measures that have been assessed include death (all cause); occurrence of HIV-related events (death or AIDS-defining illness) and the proportion of patients achieving and maintaining an undetectable viral load, as defined by the authors. Search methods We conducted a comprehensive search including both published and unpublished studies in all languages in MEDLINE, EMBASE and The Cochrane Library, between January 1980 and January 2008. Databases listing conference abstracts and reference lists of articles were searched. Additional data were sought from relevant authors; however, no additional data were provided. Selection criteria Only randomized controlled trials conducted subsequent to the introduction of combination ART were included in this systematic review. Participants could be on either a protease inhibitor (PI)-based regimen or non-nucleoside reverse transcriptase (NNRTI)-based regimen and be either ARV-naive or -experienced. Data collection and analysis Two reviewers independently assessed and extracted data for analysis. Meta-analysis was conducted where appropriate. Where study outcomes could not be combined, a narrative review was performed. Outcome measures for dichotomous data were reported as a relative risk with 95% confidence intervals. Stratified analyses were conducted by ARV regimen and treatment groups. Heterogeneity between studies was anticipated; therefore, random effects models were chosen to generate pooled effects. Differences in the findings were assessed by the chi square test for heterogeneity (p 70%), but low (