Population Pharmacokinetic Analyses for Tebipenem after Oral Administration of Pro-Drug Tebipenem Pivoxil Hydrobromide.

Tebipenem pivoxil hydrobromide (TBP-PI-HBr) is an oral (PO) carbapenem pro-drug that is converted to the active moiety tebipenem in the enterocytes. Tebipenem has activity against multidrug-resistant Gram-negative pathogens, including extended-spectrum beta lactamase-producing Enterobacterales, and is being developed for the treatment of patients with complicated urinary tract infections (cUTI) and acute pyelonephritis (AP). The objectives of these analyses were to develop a population pharmacokinetic (PK) model for tebipenem using data from three phase 1 studies and one phase 3 study and to identify covariates that described the variability in tebipenem PK. Following construction of the base model, a covariate analysis was conducted. The model was then qualified by performing a prediction-corrected visual predictive check and evaluated by using a sampling-importance-resampling procedure. The final population PK data set was composed of data from 746 subjects who provided 3,448 plasma concentrations, including 650 patients (1,985 concentrations) with cUTI/AP. The final population PK model that best described tebipenem PK was found to be a two-compartment model with linear, first-order elimination and two transit compartments to describe the rate of drug absorption after PO administration of TBP-PI-HBr. The relationship between renal clearance (CLR) and creatinine clearance (CLcr), the most clinically significant covariate, was described using a sigmoidal Hill-type function. No dose adjustments are warranted on the basis of age, body size, or sex as none of these covariates were associated with substantial differences in tebipenem exposure in patients with cUTI/AP. The resultant population PK model is expected to be appropriate for model-based simulations and assessment of pharmacokinetic-pharmacodynamic relationships for tebipenem.

Evaluation of the Impact of Comorbidities on Omadacycline Pharmacokinetics.

Omadacycline is approved in the United States for the treatment of patients with community-acquired bacterial pneumonia or acute bacterial skin and skin structure infections. Analyses were undertaken to evaluate pharmacokinetic differences among subjects or patients stratified by comorbidities. Differences in clearance by smoking status, history of diabetes mellitus, chronic lung disease, hypertension, heart failure, or coronary artery disease were evaluated using a Welch two-sample t test. Smoking was the only significant comorbidity after correction for sex, with a clinically insignificant difference of 13%. Omadacycline dose adjustments based on these comorbidities do not appear to be warranted.

Pharmacokinetic-Pharmacodynamic Target Attainment Analyses as Support for Meropenem-Vaborbactam Dosing Regimens and Susceptibility Breakpoints.

Meropenem-vaborbactam is a fixed-dose beta-lactam/beta-lactamase inhibitor with potent in vitro and in vivo activity against Klebsiella pneumoniae carbapenemase (KPC)-producing Enterobacterales. Pharmacokinetic-pharmacodynamic (PK-PD) target attainment analyses were undertaken using population pharmacokinetic models, nonclinical PK-PD targets for efficacy, in vitro surveillance data, and simulation to provide support for 2 g meropenem-2 g vaborbactam every 8 h (q8h) administered as a 3-h intravenous (i.v.) infusion, and dosing regimens adjusted for patients with renal impairment. Simulated patients varying by renal function measure (estimated glomerular filtration rate [eGFR], mL/min/1.73 m2 and absolute eGFR, mL/min) and resembling the clinical trial population (complicated urinary tract infection, including acute pyelonephritis) were generated. The PK-PD targets for meropenem, the percentage of time on day 1 that free-drug plasma concentrations were above the MIC (%T>MIC), and vaborbactam, the ratio of free-drug plasma area under the concentration-time curve (AUC) on day 1 to the MIC (AUC:MIC ratio), were calculated. Percent probabilities of achieving meropenem free-drug plasma %T>MIC and vaborbactam free-drug plasma AUC:MIC ratio targets were assessed. MIC distributions for Enterobacterales, KPC-producing Enterobacterales, and Pseudomonas aeruginosa were considered as part of an algorithm to assess PK-PD target attainment. For assessments of free-drug plasma PK-PD targets associated with a 1-log10 CFU reduction from baseline, percent probabilities of PK-PD target attainment ranged from 81.3 to 100% at meropenem-vaborbactam MIC values of 4 or 8 µg/mL among simulated patients. The results of these PK-PD target attainment analyses provide support for a dosing regimen of 2 g meropenem-2 g vaborbactam q8h administered as a 3-h i.v. infusion, with dosing regimens adjusted for patients with renal impairment and a meropenem-vaborbactam susceptibility breakpoint of ≤8 µg/mL (tested with a fixed vaborbactam concentration of 8 µg/mL) for Enterobacterales and P. aeruginosa based on these dosing regimens.

Population Pharmacokinetics of Meropenem and Vaborbactam Based on Data from Noninfected Subjects and Infected Patients.

Meropenem-vaborbactam is a broad-spectrum carbapenem-beta-lactamase inhibitor combination approved in the United States and Europe to treat patients with complicated urinary tract infections and in Europe for other serious bacterial infections, including hospital-acquired and ventilator-associated pneumonia. Population pharmacokinetic (PK) models were developed to characterize the time course of meropenem and vaborbactam using pooled data from two phase 1 and two phase 3 studies. Multicompartment disposition model structures with linear elimination processes were fit to the data using NONMEM 7.2. Since both drugs are cleared primarily by the kidneys, estimated glomerular filtration rate (eGFR) was evaluated as part of the base structural models. For both agents, a two-compartment model with zero-order input and first-order elimination best described the pharmacokinetic PK data, and a sigmoidal Hill-type equation best described the relationship between renal clearance and eGFR. For meropenem, the following significant covariate relationships were identified: clearance (CL) decreased with increasing age, CL was systematically different in subjects with end-stage renal disease, and all PK parameters increased with increasing weight. For vaborbactam, the following significant covariate relationships were identified: CL increased with increasing height, volume of the central compartment (Vc) increased with increasing body surface area, and CL, Vc, and volume of the peripheral compartment were systematically different between phase 1 noninfected subjects and phase 3 infected patients. Visual predictive checks demonstrated minimal bias, supporting the robustness of the final models. These models were useful for generating individual PK exposures for pharmacokinetic-pharmacodynamic (PK-PD) analyses for efficacy and Monte Carlo simulations to evaluate PK-PD target attainment.

Population pharmacokinetic analysis for a single 1,200-milligram dose of oritavancin using data from two pivotal phase 3 clinical trials.

Oritavancin is a lipoglycopeptide antibiotic with activity against Gram-positive bacteria. Here we describe oritavancin population pharmacokinetics and the impact of patient-specific covariates on drug exposure variability. Concentration-time data were analyzed from two phase 3 clinical trials, SOLO I and SOLO II, in which oritavancin was administered as a single 1,200-mg dose to patients with acute bacterial skin and skin structure infections. A total of 1,337 drug concentrations from 297 patients (90% of whom had 4 or 5 pharmacokinetic samples) were available for analysis. A previously derived population model based on data from 12 phase 1, 2, and 3 oritavancin studies was applied to the SOLO data set. Alterations to the structural model were made, as necessary, based on model fit. Analyses utilized Monte Carlo parametric expectation maximization (S-ADAPT 1.5.6). The previous population pharmacokinetic model fit the data well (r(2) = 0.972), and population pharmacokinetic parameters were estimated with acceptable precision and lack of bias. Covariate evaluations revealed statistically significant relationships between central compartment volume and age and between clearance and height; however, these relationships did not indicate a clinically relevant impact on oritavancin exposure over the range of age and height observed in the SOLO studies. The mean (coefficient of variation [CV]) area under the plasma concentration-time curve from time zero to 72 h (AUC0-72) and maximum plasma concentration (Cmax) were 1,530 (36.9%) µg · h/ml and 138 (23%) µg/ml, respectively. The mean (CV) half-life at alpha phase (t1/2α), t1/2ß, and t1/2γ were 2.29 (49.8%), 13.4 (10.5%), and 245 (14.9%) hours, respectively. These analyses are the first to describe oritavancin pharmacokinetics following a single 1,200-mg dose. Covariate analyses suggested that no dose adjustments are required for renal impairment (creatinine clearance, >29 ml/min), mild or moderate hepatic impairment, age, weight, gender, or diabetes status.

Population pharmacokinetic analyses for BC-3781 using phase 2 data from patients with acute bacterial skin and skin structure infections.

BC-3781, a pleuromutilin antimicrobial agent, is being developed for the treatment of patients with acute bacterial skin and skin structure infections (ABSSSI) and community-acquired bacterial pneumonia. Data from a phase 2 study of patients with ABSSSI were used to refine a previous population pharmacokinetic (PK) model and explore potential predictors of PK variability. The previously derived population PK model based on data from three phase 1 studies was applied to sparse sampling data from a phase 2 ABSSSI study and modified as necessary. Covariate analyses were conducted to identify descriptors (e.g., body size, renal function, age) associated with interindividual variability in PK. All population PK analyses were conducted by using Monte Carlo parametric expectation maximization implemented in S-ADAPT 1.5.6. The population PK data set contained 1,167 concentrations from 129 patients; 95% of the patients had 5 or more PK samples (median, 11). The previous population PK model (three-compartment model with first-order elimination and nonlinear protein binding) provided an acceptable and unbiased fit to the data from the 129 patients. Population PK parameters were estimated with acceptable precision; individual clearance values were particularly well estimated (median individual precision of 9.15%). Graphical covariate evaluations showed no relationships between PK and age or renal function but modest relationships between body size and clearance and volume of distribution, which were not statistically significant when included in the population PK model. This population PK model will be useful for subsequent PK-pharmacodynamic analyses and simulations conducted to support phase 3 dose selection. (This study has been registered at ClinicalTrials.gov under registration no. NCT01119105.).

Pharmacometric Analyses to Support Early Development Decisions for LY2878735: A Novel Serotonin Norepinephrine Reuptake Inhibitor.

LY2878735 is a novel dual serotonin (5-hydroxytryptamine (5-HT)) and norepinephrine (NE) reuptake inhibitor (SNRI) in development for chronic pain indications. In vitro profile suggests a more balanced profile as compared with other SNRI's, which is expected to confer superior clinical efficacy. LY2878735 is metabolized partly by the genetically polymorphic cytochrome P450 (CYP) 2D6 pathway, raising pharmacokinetic (PK) variability concerns. Phase 1 PK and biomarker data were analyzed by pharmacometric methods to characterize the balance between dual-target engagement and adverse effects on heart rate (HR) and blood pressure (BP). A narrow range of plasma LY2878735 levels was associated with an acceptable balance. As compared with poor metabolizers (PM), CYP2D6 extensive metabolizers (EM) have 21- and threefold higher clearance and distribution volume, respectively. Even with a CYP2D6-based dosing paradigm, a superior therapeutic index comparable to duloxetine, a widely used SNRI, was not achievable and LY2878735 development was thus terminated. Model-based approach effectively synthesizes PK-pharmacodynamic (PD) relationships, enabling efficient early development decisions.CPT: Pharmacometrics & Systems Pharmacology (2013) 2, e66; doi:10.1038/psp.2013.43; published online 21 August 2013.

Impact of different factors on the probability of clinical response in tigecycline-treated patients with intra-abdominal infections.

Patients with intra-abdominal infections differ with regard to the type of infection and the severity of illness. However, the impact of these factors, together with differences in drug exposure, on clinical response is not well understood. Using phase 2 and 3 data for patients with complicated intra-abdominal infections, the relative importance of tigecycline exposure, host factors, and disease factors, alone or in combination, for the probability of clinical response was examined. Patients with complicated intra-abdominal infections who received tigecycline intravenously as a 100-mg loading dose followed by 50 mg every 12 h for 5 to 14 days and who had adequate clinical, pharmacokinetic, and response data were evaluated. Multivariable logistic regression was used to identify factors associated with clinical response. A final multivariable logistic regression model demonstrated six factors based on 123 patients to be predictive of clinical success: a weight of <94 kg (P = 0.026), the absence of Pseudomonas aeruginosa in baseline cultures (P = 0.021), an APACHE II score of <13 (P = 0.029), non-Hispanic race (P = 0.005), complicated appendicitis or cholecystitis (P = 0.004), and a ratio of the area under the concentration-time curve (AUC) to the MIC (AUC/MIC ratio) of > or =3.1 (P = 0.003). The average model-predicted probability of clinical success when one unfavorable factor was present was 0.940. This probability was lower (0.855) when the AUC/MIC ratio was < 3.1 and the remaining five factors were set to the favorable condition. The average model-predicted probability of clinical success in the presence of two unfavorable factors was 0.594. These findings demonstrated the impact of individual and multiple factors on clinical response in the context of drug exposure.

Effect of food and antacids on the pharmacokinetics of pirfenidone in older healthy adults.

Pirfenidone is a small, synthetic molecule under investigation for treatment of idiopathic pulmonary fibrosis. In an open-label, single-dose crossover study, the pharmacokinetics (PK) of pirfenidone were investigated with or without food and antacids in healthy adult volunteers. Concentrations of pirfenidone and its metabolites in plasma and urine were determined by liquid chromatography with tandem mass spectrometry, and candidate pharmacokinetic models were fit to plasma data using weighted, non-linear regression. The effect of food and antacids on pirfenidone exposure was evaluated by determining 'equivalence' using FDA guidelines. Adverse events were recorded by site personnel and classified by investigators on the basis of severity and relationship to study drug. Sixteen subjects yielded 64 pharmacokinetic profiles. The best fit was achieved using a five-compartment, linear model with an allowance for direct conversion to the primary metabolite (5-carboxy-pirfenidone). Coadministration with food decreased the rate and, to a lesser degree, the extent of pirfenidone absorption of absorption. Analysis of adverse events revealed a correlation between pirfenidone C(max) and the risk of gastrointestinal (GI) adverse events, suggesting that food may reduce the risk of certain adverse events associated with pirfenidone. Administration of pirfenidone with food has a modest effect on overall exposure but results in lower peak concentrations, which may improve tolerability.

A multicenter evaluation of gentamicin therapy in the neonatal intensive care unit.

STUDY OBJECTIVE: To evaluate traditional nomogram (TN) versus individualized pharmacokinetic gentamicin dosing practices in neonatal intensive care units, focusing on achieving target therapeutic concentrations (peak > 8 microg/ml, trough < 2 microg/ml), number of dosing changes, number of concentrations obtained, and evidence of nephrotoxicity. DESIGN: Retrospective chart review. SETTING: Three neonatal intensive care units. PATIENTS: Three hundred nine infants prescribed gentamicin. INTERVENTION: None. MEASUREMENTS AND MAIN RESULTS: Sixty-seven percent of patients receiving pharmacokinetic dosing had initial peak concentrations of 8 microg/ml or greater compared with 7% of patients receiving TN dosing (p<0.001). Trough concentrations exceeding 2 microg/ml were reported in 23% of patients receiving TN dosing compared with 2% of pharmacokinetic-dosed patients (p<0.001). Forty-two percent and 6%, respectively, required dosage adjustments (p<0.01). The mean number of concentrations obtained per patient was 2.8 and 2.1, respectively (p<0.01). Neither group had evidence of gentamicin-related nephrotoxicity. CONCLUSION: Compared with TN dosing, administering gentamicin loading doses and performing initial pharmacokinetic analysis resulted in rapid attainment of desired concentrations and fewer dosage adjustments, and allowed for a decrease in the number of gentamicin concentrations.

Effect of a clinical pharmacist-managed lipid clinic on achieving National Cholesterol Education Program low-density lipoprotein goals.

Despite national guidelines for treatment of hyperlipidemia, significant numbers of individuals with coronary artery disease are not treated to their National Cholesterol Education Program (NCEP) low-density lipoprotein (LDL) goals. The potential benefits of a clinical pharmacist-managed lipid clinic would be to improve rates of success in achieving these goals, improve drug adherence and compliance with therapy, and reduce cardiovascular events. All patients who had a documented history of coronary artery disease and were under the care of one cardiologist were treated in the pharmacist-managed lipid clinic. A second cardiologist provided usual care to a group of patients with coronary artery disease who served as controls. Patients in each arm were followed for a minimum of 6 months. A protocol for therapy changes in clinic patients was developed by the clinical pharmacist and approved by the cardiologist. At the end of 6 months, 69% of patients in the pharmacist-managed clinic achieved their LDL goal, compared with 50% of controls. Compliance with laboratory tests and drug regimens also improved in clinic patients. Compliance with lipid panels went from 8% 2 months before to 89% 2 months after the start of the study. At the end of 6 months compliance with laboratory work and refills was 80%. Thus the clinical pharmacist-managed clinic was highly successful in achieving NCEP goals for secondary prevention.