No Measurable Transfer of Oxytocin-Receptor Agonist Merotocin Detected in Human Breast Milk.

Objective: The study aimed to assess the transfer of merotocin from systemic circulation to breast milk in early postpartum women and women with established lactation. Methods: This was a two-part, multicenter, open-label, parallel-group study. Merotocin was administered as a single 90-minute intravenous (iv) infusion mimicking the intranasal pharmacokinetic profile. In Part A, 12 early postpartum women received doses of either 4 µg (n = 6) or 16 µg (n = 6) of merotocin within 4 days of delivery. In Part B, six women with established lactation received 20 µg of merotocin. The total concentration of merotocin in plasma and breast milk and its metabolites excreted in breast milk were measured at various time points. Adverse events (AEs) were also assessed for both parts of the study. Results: In both early postpartum and established lactation groups (mean age, 26.3 years; 83.3% Caucasian), merotocin and its metabolites in breast milk were below the limit of quantification (25.0 pg/mL) at all time points. Sixteen treatment-emergent AEs occurred in early postpartum women only, including seven events of uterine spasm and three of breast engorgement. There was one moderate event, whereas all the other events were considered mild. Conclusion: Merotocin was undetectable in breast milk after single iv administration of up to 20 µg in early postpartum women and women with established lactation.

First pre-filled pen device with highly purified human menopausal gonadotropin (HP-hMG, Menopur) in liquid is shown to be bioequivalent to powder for reconstitution.

OBJECTIVE: To determine whether serum human follicle-stimulating hormone (FSH) levels after single subcutaneous dosing of highly purified human menopausal gonadotropins (HP-hMG) in a liquid formulation and a powder formulation are bioequivalent. MATERIALS AND METHODS: This was a randomized, two-way, crossover, single-dose, bioequivalence trial comparing Menopur liquid injected by pre-filled pen, with Menopur powder injected by conventional syringe and needle. The primary endpoints were AUCt and Cmax of baseline-adjusted FSH. Pituitary-suppressed, healthy women were administered single subcutaneous injections of 450 IU Menopur liquid (600 IU/0.96 mL) and 450 IU Menopur powder (by 2 subcutaneous injections of 225 IU in 1 mL) in a randomized order. The pharmacokinetic parameters of FSH and human chorionic gonadotropin (hCG) were assessed by non-compartmental methods with adjustment for endogenous pre-dose levels. RESULTS: In total, 76 women were randomized, and 56 completed the trial. The mean FSH and hCG serum concentration-time profiles were comparable between the two HP-hMG formulations. The geometric mean ratios and 90% confidence intervals of FSH for HP-hMG liquid versus HP-hMG powder were 1.12 (1.0562 - 1.1889) for AUCt and 1.17 (1.0946 - 1.2490) for Cmax, showing that the two formulations were bioequivalent. The incidence and severity of adverse events were similar between the two preparations, and both preparations were well tolerated. CONCLUSION: The 90% CIs for the geometric mean ratios of serum FSH AUCt and Cmax were both within 0.8000 - 1.2500, thus the two formulations are bioequivalent.

Bounded Integer Modeling of Symptom Scales Specific to Lower Urinary Tract Symptoms Secondary to Benign Prostatic Hyperplasia.

The International Prostate Symptom Score (IPSS), the quality of life (QoL) score, and the benign prostatic hyperplasia impact index (BII) are three different scales commonly used to assess the severity of lower urinary tract symptoms associated with benign prostatic hyperplasia (BPH-LUTS). Based on a phase II clinical trial including 403 patients with moderate to severe BPH-LUTS, the objectives of this study were to (i) develop traditional pharmacometric and bounded integer (BI) models for the IPSS, QoL score, and BII endpoints, respectively; (ii) compare the power and type I error in detecting drug effects of BI modeling with traditional methods through simulation; and (iii) obtain quantitative translation between scores on the three abovementioned scales using a BI modeling framework. All developed models described the data adequately. Pharmacometric modeling using a continuous variable (CV) approach was overall found to be the most robust in terms of type I error and power to detect a drug effect. In most cases, BI modeling showed similar performance to the CV approach, yet severely inflated type I error was generally observed when inter-individual variability (IIV) was incorporated in the BI variance function (g()). BI modeling without IIV in g() showed greater type I error control compared to the ordered categorical approach. Lastly, a multiple-scale BI model was developed and estimated the relationship between scores on the three BPH-LUTS scales with overall low uncertainty. The current study yields greater understanding of the operating characteristics of the novel BI modeling approach and highlights areas potentially requiring further improvement.

Item Response Theory Modeling of the International Prostate Symptom Score in Patients with Lower Urinary Tract Symptoms Associated with Benign Prostatic Hyperplasia.

Item response theory (IRT) was used to characterize the time course of lower urinary tract symptoms due to benign prostatic hyperplasia (BPH-LUTS) measured by item-level International Prostate Symptom Scores (IPSS). The Fisher information content of IPSS items was determined and the power to detect a drug effect using the IRT approach was examined. Data from 403 patients with moderate-to-severe BPH-LUTS in a placebo-controlled phase II trial studying the effect of degarelix over 6 months were used for modeling. Three pharmacometric models were developed: a model for total IPSS, a unidimensional IRT model, and a bidimensional IRT model, the latter separating voiding and storage items. The population-level time course of BPH-LUTS in all models was described by initial improvement followed by worsening. In the unidimensional IRT model, the combined information content of IPSS voiding items represented 72% of the total information content, indicating that the voiding subscore may be more sensitive to changes in BPH-LUTS compared with the storage subscore. The pharmacometric models showed considerably higher power to detect a drug effect compared with a cross-sectional and while-on-treatment analysis of covariance, respectively. Compared with the sample size required to detect a drug effect at 80% power with the total IPSS model, a reduction of 5.9% and 11.7% was obtained with the unidimensional and bidimensional IPSS IRT model, respectively. Pharmacometric IRT analysis of the IPSS within BPH-LUTS may increase the precision and efficiency of treatment effect assessment, albeit to a more limited extent compared with applications in other therapeutic areas.

Integrated Item Response Theory Modeling of Multiple Patient-Reported Outcomes Assessing Lower Urinary Tract Symptoms Associated with Benign Prostatic Hyperplasia.

In clinical trials within lower urinary tract symptoms due to benign prostatic hyperplasia (BPH-LUTS), the International Prostate Symptom Score (IPSS) is commonly the primary efficacy outcome while the Quality of Life (QoL) score and the BPH Impact Index (BII) are common secondary efficacy markers. The current study aimed to characterize BPH-LUTS progression using responses to the IPSS, the QoL, and the BII in an integrated item response theory (IRT) framework and assess the Fisher information of each scale. The power of this approach to detect a drug effect was compared with an IRT approach considering only IPSS responses. A unidimensional and a bidimensional pharmacometric IRT model, based on item-level IPSS responses in a clinical trial with 403 patients, were extended by incorporating patients' QoL and summary BII scores over the 6-month trial period. In the developed unidimensional integrated model, the QoL score was found to be the most informative, representing 17% of the total Fisher information, while the combined information content of the seven IPSS items represented 70.6%. In the bidimensional model, "storage" and both storage and "voiding" disability drove QoL and summary BII responses, respectively. Sample size reduction of 16% to detect a drug effect at 80% power was obtained with the unidimensional integrated IRT model compared with its counterpart IPSS IRT model. This study shows that utilizing the information content across the IPSS, QoL, and BII scales in an integrated IRT framework results in a modest but meaningful increase in power to detect a drug effect.

Dosing rationale for liraglutide in type 2 diabetes mellitus: a pharmacometric assessment.

The glucagon-like peptide-1 (GLP-1) receptor agonist liraglutide was approved in 2010 by the US Food and Drug Administration (FDA) as an adjunct treatment to diet and exercise to improve glycemic control in adults with type 2 diabetes mellitus. This article provides insights into the use of pharmacometric analyses for regulatory review with a focus on the dosing recommendations. The assessment was based on the totality of exploratory and confirmatory analysis of dose-finding and pivotal clinical data and was structured around a set of key questions in accordance with current FDA review practice. For the pharmacometric review of liraglutide, the key questions focused on exposure-response relationships for effects on fasting plasma glucose, hemoglobin A(1c), and calcitonin and on variability in exposure across demographic subgroups of patients. The importance of conducting exploratory exposure-response analysis and population pharmacokinetic studies in clinical drug development to support dosing recommendations is highlighted.

Population pharmacokinetics of liraglutide, a once-daily human glucagon-like peptide-1 analog, in healthy volunteers and subjects with type 2 diabetes, and comparison to twice-daily exenatide.

The once-daily human glucagon-like peptide-1 (GLP-1) analog, liraglutide, was recently shown to provide improved glycemic control in subjects with type 2 diabetes (T2D) compared with exenatide. The aim of this work is to estimate the population pharmacokinetics of liraglutide and make a comparison to the pharmacokinetic profile of exenatide. Pharmacokinetic data from 5 published studies of subcutaneous and intravenous administration of liraglutide to healthy volunteers (HV) and subjects with T2D were used to develop a population pharmacokinetic model in NONMEM. Exenatide data came from a published study in T2D. Liraglutide pharmacokinetics were adequately described using a 1-compartment model with sequential zero- and first-order absorption. The pharmacokinetic profile of once-daily liraglutide showed considerably smaller peak-to-trough fluctuations compared with twice-daily exenatide. A small difference in the estimates of absorption parameters was found between HV and subjects with T2D but was not clinically relevant. It was concluded that pharmacokinetic profiles estimated by modeling showed that liraglutide has pharmacokinetic properties consistent with once-daily dosing in humans and provides better pharmacokinetic coverage in comparison with twice-daily exenatide. Furthermore, no clinically relevant differences were found in liraglutide pharmacokinetics between HV and subjects with T2D.

Implementation of a transit compartment model for describing drug absorption in pharmacokinetic studies.

PURPOSE: To compare the performance of the standard lag time model (LAG model) with the performance of an analytical solution of the transit compartment model (TRANSIT model) in the evaluation of four pharmacokinetic studies with four different compounds. METHODS: The population pharmacokinetic analyses were performed using NONMEM on concentration-time data of glibenclamide, furosemide, amiloride, and moxonidine. In the TRANSIT model, the optimal number of transit compartments was estimated from the data. This was based on an analytical solution for the change in drug concentration arising from a series of transit compartments with the same first-order transfer rate between each compartment. Goodness-of-fit was assessed by the decrease in objective function value (OFV) and by inspection of diagnostic graphs. RESULTS: With the TRANSIT model, the OFV was significantly lower and the goodness-of-fit was markedly improved in the absorption phase compared with the LAG model for all drugs. The parameter estimates related to the absorption differed between the two models while the estimates of the pharmacokinetic disposition parameters were similar. CONCLUSION: Based on these results, the TRANSIT model is an attractive alternative for modeling drug absorption delay, especially when a LAG model poorly describes the drug absorption phase or is numerically unstable.

Synergistic combinations of anticonvulsant agents: what is the evidence from animal experiments?

PURPOSE: Combination therapy is often used in the treatment of seizures refractory to monotherapy. At the same time, the pharmacodynamic mechanisms that determine the combined efficacy of antiepileptic drugs (AEDs) are unknown, and this prevents a rational use of these drug combinations. We critically evaluate the existing evidence for pharmacodynamic synergism between AEDs from preclinical studies in animal models of epilepsy to identify useful combinations of mechanisms and to determine whether study outcome depends on the various research methods that are in use. METHODS: Published articles were included if the studies were placebo-controlled, in vivo, or ex vivo animal studies investigating marketed or experimental AEDs. The animal models that were used in these studies, the primary molecular targets of the tested drugs, and the methods of interpretation were recorded. The potential association of these factors with the study outcome (synergism: yes or no) was assessed through logistic regression analysis. RESULTS: In total, 107 studies were identified, in which 536 interaction experiments were conducted. In 54% of these experiments, the possibility of a pharmacokinetic interaction was not investigated. The majority of studies were conducted in the maximal electroshock model, and other established models were the pentylenetetrazole model, amygdala kindling, and the DBA/2 model. By far the most widely used method for interpretation of the results was evaluation of the effect of a threshold dose of one agent on the median effective dose (ED50) of another agent. Experiments relying on this method found synergism significantly more often compared with experiments relying on other methods (p<0.001). Furthermore, experiments including antagonists of the AMPA receptor were more likely to find synergism in comparison with all other experiments (p<0.001). CONCLUSIONS: Intensive preclinical research into the effects of AED combinations has not led to an understanding of the pharmacodynamic properties of AED combinations. Specifically, the majority of the preclinical studies are not adequately designed to distinguish between additive, synergistic, and antagonistic interactions. Quantitative pharmacokinetic-pharmacodynamic studies of selectively acting AEDs in a battery of animal models are necessary for the development of truly synergistic drug combinations.

A pharmacokinetic-pharmacodynamic model for the quantitative prediction of dofetilide clinical QT prolongation from human ether-a-go-go-related gene current inhibition data.

BACKGROUND: QT prolongation is an important biomarker of the arrhythmia torsades de pointes and appears to be related mainly to blockade of delayed inward cardiac rectifier potassium currents. The aim of this study was to quantify the relationship between in vitro human ether-a-go-go-related gene (hERG) potassium channel blockade and the magnitude of QT prolongation in humans for the class III antiarrhythmic dofetilide. METHODS: The in vitro affinity and activity of dofetilide were determined in recombinant cell cultures expressing the hERG channel, and the QT-prolonging effect of dofetilide was assessed in 5 clinical studies (80 healthy volunteers and 17 patients with ischemic heart disease). A population pharmacokinetic-pharmacodynamic analysis of the in vitro and in vivo data was performed in NONMEM by use of the operational model of pharmacologic agonism to estimate the efficiency of transduction from ion channel binding to Fridericia-corrected QT response. RESULTS: A 3-compartment pharmacokinetic model with first-order absorption characterized the time course of dofetilide concentrations. On the basis of an in vitro potency of 5.13 ng/mL for potassium current inhibition and predicted unbound dofetilide concentrations, the estimated transducer ratio (tau) of 6.2 suggests that the QT response plateaus before currents are fully blocked. In our study population, 10% hERG blockade corresponds to a QT prolongation of 20 ms (95% confidence interval, 12-32 ms). With long-term dofetilide administration, tolerance develops with a half-life of 4.7 days. CONCLUSIONS: The current mechanism-based pharmacokinetic-pharmacodynamic model quantified the relationship between in vitro hERG channel blockade and clinical QT prolongation for dofetilide. This model may prove valuable for assessing the risk of QT prolongation in humans for other drugs that selectively block the hERG channel on the basis of in vitro assays and pharmacokinetic properties.

Towards a mechanism-based analysis of pharmacodynamic drug-drug interactions in vivo.

The combination of drugs is a common practice for enhancing the efficiency of drug treatment, but selection of the optimal combination and the optimal doses remains a matter of trial and error. Prediction of synergistic, additive and antagonistic responses to drug combinations in vivo is therefore of considerable interest. The present review discusses the application of mathematical and statistical models to assess combined drug action by response surface modelling. The most commonly applied models are designed to distinguish between synergistic and additive responses on the basis of a single parameter to indicate whether a drug combination acts synergistic or not. It is, however, recognized that these relatively simple models often do not adequately describe complex drug interactions. This has led to the application of increasingly complex models with multiple drug interaction parameters that can describe a wide range of synergistic and antagonistic responses in a single-response surface. The capability to describe response surfaces with high resolution offers the opportunity to develop an understanding of the mechanisms that underlie the observed combined drug response. Operational models for drug interaction constitute a highly versatile framework for mechanism-based modelling by taking the signal transduction properties of the drug combination into account. On this basis, it is predicted that the occurrence of synergism is favoured by convergence of drug signals late in the signal transduction pathway as opposed to proximal convergence. Furthermore, a high efficiency of signal transduction poses in general a barrier to the occurrence of synergism. The in vivo application of operational models with advanced response surface modelling techniques will facilitate the rational development of synergistic drug combinations.

Pharmacodynamic analysis of the anticonvulsant effects of tiagabine and lamotrigine in combination in the rat.

PURPOSE: The pharmacodynamic interaction between the antiepileptic drugs (AEDs) tiagabine (TGB) and lamotrigine (LTG) was characterized on basis of the anticonvulsant effect in the cortical stimulation model in the rat. METHODS: The study was conducted according to a partial crossover design, in which both drugs were infused intravenously to achieve linear increases in the plasma concentration in the absence and presence of a steady-state concentration of the second drug. The anticonvulsant effect was quantified by counts of four specific ictal signs (eye closure, forelimb clonus, forelimb extension, and head jerk). A potential pharmacokinetic interaction was accounted for by determination of total plasma concentrations of both drugs. RESULTS: When given separately, both TGB and LTG suppressed all ictal signs in a concentration-dependent manner, with the exception of eye closure, which was not suppressed by LTG. The interaction between both drugs was estimated by response surface analysis by using the difference between the observed effect and the additive effect to identify synergistic drug concentrations. This analysis showed that the pharmacodynamic interaction between TGB and LTG is synergistic for the ictal signs of eye closure and head jerk. In contrast, the interaction was additive for the ictal signs of forelimb clonus and forelimb tonus. CONCLUSIONS: This study demonstrates the usefulness of ictal-component analysis for studying the pharmacodynamic interaction between AEDs. Quantification of both the nature and the magnitude of the interaction between TGB and LTG led to the identification of two ictal signs that were synergistically suppressed. This approach offers a theoretical basis to identify and optimize drug combinations that are useful to treat refractory epilepsy.

Pharmacodynamic analysis of the interaction between tiagabine and midazolam with an allosteric model that incorporates signal transduction.

PURPOSE: The objective of this study was to characterize quantitatively the pharmacodynamic interaction between midazolam (MDL), an allosteric modulator of the gamma-aminobutyric acid subtype A (GABAA) receptor, and tiagabine (TGB), an inhibitor of synaptic GABA uptake. METHODS: The in vivo concentration-response relation of TGB was determined through pharmacokinetic/pharmacodynamic (PK/PD) modeling. Rats received a single intravenous dose of 10 mg/kg TGB in the absence and the presence of a steady-state plasma concentration of MDL. The EEG response in the 11.5- to 30-Hz frequency band was used as the pharmacodynamic end point. RESULTS: Infusion of MDL resulted in a mean steady-state plasma concentration of 66 +/- 3 ng/ml. A significant pharmacokinetic interaction with TGB was observed. MDL inhibited TGB clearance by 20 +/- 7 ml/min/kg from the original value of 89 +/- 6 ml/min/kg. However, no changes in plasma protein binding of both drugs were observed. The concentration-EEG relation of TGB was described by the sigmoid-Emax model. The pharmacodynamic parameter estimates of TGB were: Emax = 327 +/- 10 microV, EC50 = 392 +/- 20 ng/ml, and nH = 3.1 +/- 0.3. These values were not significantly different in the presence of MDL. Factors that may explain the lack of synergism were identified by a mechanism-based interaction model that separates the receptor activation from the signal-transduction process. High efficiency of signal transduction and the presence of a baseline response were shown to diminish the degree of synergism. CONCLUSIONS: We conclude that the in vivo pharmacodynamic interaction between MDL and TGB is additive rather than synergistic. This strongly suggests that allosteric modulation of the antiseizure activity of a GAT-1 inhibitor by a benzodiazepine does not offer a therapeutic advantage.

Pharmacotherapy of Hospitalised HIV-Infected Patients in a General Hospital during 1990, 1997 and 2001.

OBJECTIVE: To describe the changes over time in drug therapy (antiretroviral as well as co-administered drugs) in HIV-infected patients who required hospitalisation during the period 1990-2001. In addition, we wanted to evaluate and compare the characteristics of these patients. DESIGN/SETTING: Retrospective review of hospitalisations of HIV-infected patients in a general hospital. RESULTS: During specified periods in 1990, 1997 and 2001, 22 patients out of 130 outpatients, 29 out of 394 outpatients, and 19 out of 570 outpatients, respectively, who were treated at the outpatient clinic were admitted 30, 38 and 27 times, respectively. The mean duration of these hospitalisations was 18.8, 14.2 and 16.7 days, respectively. The percentage of women and the mean age of the hospitalised patients increased over the studied time period. AIDS-related diagnoses decreased when comparing 1997 with 2001. The type of co-administered drugs of patients who required hospitalisation was fairly stable, but the total volume (defined as the mean volume of drugs per patient per bed-day) increased dramatically from 5.3 in 1990 to 6.8 in 1997 and to 15.5 in 2001. Dual and triple antiretroviral therapy decreased and became quadruple or greater therapy when 1997 and 2001 were compared. In addition, the number of hospitalised patients not treated with antiretroviral drugs increased from 1997 to 2001. CONCLUSION: The incidence of hospital admissions decreased but the volume of co-administered drugs increased from 1990 to 2001, suggesting extensive co-morbidity in the patients who still require hospitalisation.