scholarly journals Population Pharmacokinetic Analyses for Omadacycline Using Phase 1 and 3 Data

2020 ◽  
Vol 64 (7) ◽  
Author(s):  
Elizabeth A. Lakota ◽  
Scott A. Van Wart ◽  
Michael Trang ◽  
Evan Tzanis ◽  
Sujata M. Bhavnani ◽  
...  

ABSTRACT Omadacycline, a novel aminomethylcycline antibiotic with activity against Gram-positive and -negative organisms, including tetracycline-resistant pathogens, received FDA approval in October 2018 for the treatment of patients with acute bacterial skin and skin structure infections (ABSSSI) and community-acquired bacterial pneumonia (CABP). A previously developed population pharmacokinetic (PK) model based on phase 1 intravenous and oral PK data was refined using data from infected patients. Data from 10 phase 1 studies used to develop the previous model were pooled with data from three additional phase 1 studies, a phase 1b uncomplicated urinary tract infection study, one phase 3 CABP study, and two phase 3 ABSSSI studies. The final population PK model was a three-compartment model with first-order absorption using transit compartments to account for absorption delay following oral dosing and first-order elimination. Epithelial lining fluid (ELF) concentrations were modeled as a subcompartment of the first peripheral compartment. A food effect on oral bioavailability was included in the model. Sex was the only significant covariate identified, with 15.6% lower clearance for females than males. Goodness-of-fit diagnostics indicated a precise and unbiased fit to the data. The final model, which was robust in its ability to predict plasma and ELF exposures following omadacycline administration, was also able to predict the central tendency and variability in concentration-time profiles using an external phase 3 ABSSSI data set. A population PK model, which described omadacycline PK in healthy subjects and infected patients, was developed and subsequently used to support pharmacokinetic-pharmacodynamic (PK-PD) and PK-PD target attainment assessments.

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 4-4
Author(s):  
Trine Høyer Rose ◽  
Christian Hollensen ◽  
Henrik Agersø ◽  
Rune Viig Overgaard

Introduction Concizumab is a high-affinity anti-tissue factor pathway inhibitor (TFPI) monoclonal antibody in clinical investigation for the subcutaneous (SC) treatment of patients with hemophilia. The data generated from phase 1 and 2 concizumab trials have been used to develop a population pharmacokinetic (PK) model with the aim of supporting dose selection for phase 3 trials. WMethods The objective of this study was to develop a model to describe the PK of concizumab across administration routes in various groups of patients with hemophilia to generate a generally applicable population PK model of concizumab. The model was developed based on available PK data from four phase 1 trials (for both intravenous [IV] and SC concizumab administration) and two phase 2 trials (for SC concizumab administration). Trial populations in the phase 1 trials included both healthy subjects and patients with hemophilia, whilst the phase 2 trials enrolled patients with hemophilia A or B with inhibitors and patients with hemophilia A without inhibitors. A structural population PK model was first developed based on phase 1 data and the final population PK model was then estimated using data from both phase 1 and phase 2 trials. Simulations were performed for phase 3 concizumab exposure using a full parametric simulation (n=10,000), including both inter-individual and intra-individual variability for the selected population. Randomly sampled body weights from a normal distribution with mean and variance corresponding to body weight distribution from phase 2 trials were used to simulate patient profiles. WResults The population PK dataset used for the model comprised 1,504 observations from 119 subjects (89 patients and 30 healthy individuals), with a mean age of 35 years (range: 18-65 years) and mean body weight of 74.4 kg (range: 47.1-130 kg). The PK model parameters were first estimated based on phase 1 data alone, and after fixing the majority in order to ensure robustness of the model only a few parameters were re-estimated based on phase 1 and 2 data combined. The PK model (Figure 1) was evaluated by standard goodness-of-fit plots and qualification assessments. Using visual predictive checks, it was shown that the model was able to reproduce the median and the 5th and 95th percentiles of the observed concizumab concentrations from phase 1 and 2 trials, and so it was deemed suitable for simulation purposes. The PK model suggested a target-mediated drug disposition following concizumab binding to TFPI at the endothelium, and subsequent elimination of the complex to account for the non-linear elimination. WConclusions The developed model accurately described the PK of concizumab delivered at a wide dose range by either SC or IV administration to both healthy subjects and patients with hemophilia A or B with and without inhibitors. The model was used for simulations to select the dosing regimen for subsequent phase 3 studies. Figure 1. Concizumab pharmacokinetic model. Structure of the final concizumab PK model for SC and IV dosing with target-mediated drug disposition via the endothelial TFPI. CL, clearance; doseiv, intravenous dose; dosesc, subcutaneous dose; IV, intravenous; ka, absorption rate constant; kcom, elimination rate constant of the concizumab-TFPI complex; kon and koff, rate constants for binding of concizumab to the endothelial TFPI; ktr, rate constant from the transit compartment; Q, inter-compartmental clearance; Rtot, amount of endothelial TFPI available for concizumab binding; SC, subcutaneous; TFPI, tissue factor pathway inhibitor; V, volume. Figure Disclosures Høyer Rose: Novo Nordisk A/S: Current Employment, Divested equity in a private or publicly-traded company in the past 24 months. Hollensen:Novo Nordisk: Current Employment, Current equity holder in private company, Current equity holder in publicly-traded company. Agersø:Novo Nordisk A/S: Current Employment. Viig Overgaard:Novo Nordisk A/S: Current Employment, Current equity holder in publicly-traded company.


2014 ◽  
Vol 59 (1) ◽  
pp. 282-288 ◽  
Author(s):  
C. M. Rubino ◽  
B. Xue ◽  
S. M. Bhavnani ◽  
W. T. Prince ◽  
Z. Ivezic-Schoenfeld ◽  
...  

ABSTRACTBC-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.)


Author(s):  
M. Trang ◽  
D.C. Griffith ◽  
S.M. Bhavnani ◽  
J.S. Loutit ◽  
M.N. Dudley ◽  
...  

Meropenem-vaborbactam is a broad-spectrum carbapenem-beta-lactamase inhibitor combination approved in the USA and Europe to treat patients with complicated urinary tract infections and in Europe, 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. Multi-compartment 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 in Phase 1 non-infected subjects relative to Phase 3 infected patients, respectively. 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.


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 1-1
Author(s):  
Qi Wang ◽  
Todd M. Cooper ◽  
Michael J. Absalon ◽  
E. Anders Kolb ◽  
Grygoriy Vasilinin ◽  
...  

CPX-351 (Vyxeos®; daunorubicin and cytarabine liposome for injection), a dual-drug liposomal encapsulation of daunorubicin and cytarabine at a 1:5 synergistic ratio, is approved by the US FDA and EMA for the treatment of adults with newly diagnosed therapy-related AML or AML with myelodysplasia-related changes. Recently, CPX-351 was used in pediatric patients (pts) with relapsed AML (JCO 2020, ASH 2019, ASH 2018). A population pharmacokinetic (PK) analysis of plasma concentrations of cytarabine and daunorubicin following IV administration of CPX-351 was performed to assess sources of variability in PK and to determine if age-based dose adjustments may be warranted, particularly in pediatric pts. The PK population consisted of 250 pts with advanced hematologic malignancies from 7 studies and included 46 (18%) pediatric pts (1-17 y) and 204 (82%) adults (≥18 y). The population included 148 (59%) males, mainly of white origin (82%). Nonlinear mixed-effect modeling was performed using NONMEM®. Model evaluation and selection were assessed using a standard model discrimination process that included statistical criteria (eg, objective function value) and pertinent graphical representations of goodness-of-fit. Separate PK models were developed for cytarabine and daunorubicin; intrinsic and extrinsic factors were evaluated as covariates. The intrinsic factors included body weight, body mass index, age, sex, race, white blood cell count, and markers of renal function (creatinine clearance, serum creatinine) and hepatic function (bilirubin, aspartate and alanine aminotransferases, alkaline phosphatase). The extrinsic factors included study type (adult vs pediatric/young adult) and formulation (frozen vs lyophilized). Based on previous population PK models developed for adults, the PK models for cytarabine and daunorubicin used 2-compartment structural models, with drug input into the central compartment, first-order distribution between the central and peripheral compartments, and first-order elimination from the central compartment. Two-compartment structural models with body surface area (BSA) as an allometric scalar provided minimum bias in estimates of systemic clearance (CL) and volume of distribution for the central compartment (Vc). Based on the final population PK models, the estimates of CL and Vc in adults were 0.101 L/h and 4.76 L, respectively, for cytarabine and 0.140 L/h and 4.04 L for daunorubicin. The population estimates of CL and Vc for cytarabine in children, adolescents, and young adults (<22 y) were 0.073 L/h and 3.91 L, respectively, for cytarabine and 0.093 L/h and 3.28 L for daunorubicin. The population PK models included an allometric component that accounted for differences in BSA. The exponent for the effect of BSA on CL was 0.948 and 0.876 for cytarabine and daunorubicin, respectively, suggesting a faster clearance in pts with higher BSA. These differences in CL are expected to be offset by BSA-based dosing of CPX-351. Bilirubin and formulation (frozen) remained statistically significant covariates on the CL of daunorubicin. All tested covariates were eventually excluded from the population PK models, except BSA, bilirubin, study type, and formulation, which have a small effect on PK and are not expected to result in detectable changes in clinical safety or efficacy. Age was evaluated both as a continuous and categorical variable (1-5, 6-11, and 12-17 y) and was not a significant covariate for cytarabine and daunorubicin CL and Vc. Study type was identified as a significant covariate for CL and Vc for cytarabine and daunorubicin, which was possibly due to a change in analytical site for pediatric studies. Mean AUC0-48 values of cytarabine in pts aged 1-5, 6-11, and 12-17 y (135 U/m2) were similar (2767, 2783, and 2806 μg·h/mL, respectively) and approximately 40% higher than that observed in pts ≥18 y (100 U/m2, 1928 μg·h/mL), proportional to the 35% higher dose in pediatric pts. Mean AUC0-48 values of daunorubicin in pts aged 1-5, 6-11, and 12-17 y (135 U/m2) were similar (967, 896, and 982 μg·h/mL, respectively) and approximately 40% higher than that observed in pts ≥18 y (100 U/m2, 615 μg·h/mL), proportional to the 35% higher dose in pediatric pts. The results of this population PK analysis indicated exposures to CPX-351 in pediatric pts were not affected by age and were similar to those in adults when administered at the same BSA-normalized dose. Disclosures Wang: Jazz Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company. Cooper:Celgene: Other: Spouse was an employee of Celgene (through August 2019). Absalon:Jazz Pharmaceuticals: Research Funding. OffLabel Disclosure: Yes, in this study, CPX-351 was also evaluated in pediatric AML


2021 ◽  
Vol 25 (12) ◽  
pp. 1006-1012
Author(s):  
H. Zhu ◽  
L. Xie ◽  
Z-Q. Liu ◽  
B. Wang ◽  
M-Q. Gao ◽  
...  

OBJECTIVE: To develop a population pharmacokinetic (PK) model for bedaquiline (BDQ) to describe the concentration-time data from patients with multidrug-resistant TB (MDR-TB) in China.METHOD: A total of 306 PK observations from 69 patients were used in a non-linear, mixed-effects modelling (NONMEM) approach. BDQ PK can be adequately described by a three-compartment model with a transit absorption model. The impact of baseline covariates, including age, sex, height, weight, alanine aminotransferase (ALT), aspartate aminotransferase (AST), apolipoprotein (ALP), total bilirubin (TBIL), direct bilirubin (DBIL), creatinine (CR), potassium (K+), calcium (Ca++) and magnesium (Mg++) on the oral clearance (CL/F) of BDQ were investigated.RESULTS: In final population PK model, no significant covariates were found in the population PK model for BDQ. The population PK parameter estimate values for oral clearance (CL/F); CL/F between central compartment and peripheral compartment (Q1/F, Q2/F); peripheral volume of distribution (Vp1/F, VP2/F) were respectively 1.50 L/h (95% CI 1.07–1.93), 2.54 L/h (95% CI 1.67–3.41), 1,250 L (95% CI 616.9–1883.1), 2.00 L/h (95% CI 1.10–2.90) and 4,960 L (95% CI 1647.6–8272.4). Inter-individual variability on CL/F was 65.0%.CONCLUSION: This is the first study to establish a population PK model for BDQ in Chinese patients with MDR-TB. The final model adequately described the data and had good simulation characteristics. Despite some limitations, the final population PK model was stable with good accuracy of parameter estimation.


2019 ◽  
Vol 63 (4) ◽  
Author(s):  
Ka Lai Yee ◽  
Aziz Ouerdani ◽  
Anetta Claussen ◽  
Rik de Greef ◽  
Larissa Wenning

ABSTRACT Doravirine is a novel nonnucleoside reverse transcriptase inhibitor for the treatment of human immunodeficiency virus 1 (HIV-1) infection. A population pharmacokinetic (PK) model was developed for doravirine using pooled data from densely sampled phase 1 trials and from sparsely sampled phase 2b and phase 3 trials evaluating doravirine administered orally as a single entity or as part of a fixed-dose combination of doravirine-lamivudine-tenofovir disoproxil fumarate. A one-compartment model with linear clearance from the central compartment adequately described the clinical PK of doravirine. While weight, age, and healthy versus HIV-1 status were identified as statistically significant covariates affecting doravirine PK, the magnitude of their effects was not clinically meaningful. Other intrinsic factors (gender, body mass index, race, ethnicity, and renal function) did not have statistically significant or clinically meaningful effects on doravirine PK. Individual exposure estimates for individuals in the phase 2b and 3 trials obtained from the final model were used for subsequent exposure-response analyses for virologic response (proportion of individuals achieving <50 copies/ml) and virologic failure. The exposure-response relationships between these efficacy endpoints and doravirine PK were generally flat over the range of exposures achieved for the 100 mg once-daily regimen in the phase 3 trials, with a minimal decrease in efficacy in individuals in the lowest 10th percentile of steady-state doravirine concentration at 24 h values. These findings support 100 mg once daily as the selected dose of doravirine, with no dose adjustment warranted for the studied intrinsic factors.


2014 ◽  
Vol 58 (11) ◽  
pp. 6735-6741 ◽  
Author(s):  
Michael Neely ◽  
Edward L. Kaplan ◽  
Jeffrey L. Blumer ◽  
Dennis J. Faix ◽  
Michael P. Broderick

ABSTRACTSerum penicillin G falls to low levels 2 weeks after injection as benzathine penicillin G (BPG) in young adults. Using Pmetrics and previously reported penicillin G pharmacokinetic data after 1.2 million units were given as BPG to 329 male military recruits, here we develop the first reported population pharmacokinetic model of penicillin G after BPG injection. We simulated time-concentration profiles over a broad range of pediatric and adult weights after alternative doses and dose frequencies to predict the probability of maintaining serum penicillin G concentrations of >0.02 mg/liter, a proposed protective threshold against group AStreptococcus pyogenes(GAS). The final population model included linear absorption into a central compartment, distribution to and from a peripheral compartment, and linear elimination from the central compartment, with allometrically scaled volumes and rate constants. With 1.2 million units of BPG given intramuscularly every 4 weeks in four total doses, only 23.2% of 5,000 simulated patients maintained serum penicillin G trough concentrations of >0.02 mg/liter 4 weeks after the last dose. When the doses were 1.8 million units and 2.4 million units, the percentages were 30.2% and 40.7%, respectively. With repeated dosing of 1.2 million units every 3 weeks and every 2 weeks for 4 doses, the percentages of simulated patients with a penicillin G trough concentration of >0.02 mg/liter were 37.8% and 65.2%, respectively. Our simulations support recommendations for more frequent rather than higher BPG doses to prevent recurrent rheumatic heart disease in areas of high GAS prevalence or during outbreaks.


2002 ◽  
Vol 20 (19) ◽  
pp. 4065-4073 ◽  
Author(s):  
Ch. van Kesteren ◽  
R. A.A. Mathôt ◽  
E. Raymond ◽  
J. P. Armand ◽  
Ch. Dittrich ◽  
...  

PURPOSE: N-(3-Chloro-7-indolyl)-1,4-benzenedisulfonamide (E7070) is a novel sulfonamide anticancer agent currently in phase II clinical development for the treatment of solid tumors. Four phase I studies have been finalized, with E7070 administered at four different treatment schedules to identify the maximum-tolerated dose and the dose-limiting toxicities. Pharmacokinetic analyses of all studies revealed E7070 to have nonlinear pharmacokinetics. A population pharmacokinetic model was designed and validated to describe the pharmacokinetics of E7070 at all four treatment schedules and to identify the possible influences of patient characteristics on the pharmacokinetic parameters. PATIENTS AND METHODS: Plasma concentration-time data of all patients (n = 143) were fitted to several pharmacokinetic models using NONMEM. Seventeen covariables were investigated for their relation with individual pharmacokinetic parameters. A bootstrap procedure was performed to check the validity of the model. RESULTS: The data were best described using a three-compartment model with nonlinear distribution to a peripheral compartment and two parallel pathways of elimination from the central compartment: a linear and a saturable pathway. Body-surface area (BSA) was significantly correlated to both the volume of distribution of the central compartment and to the maximal elimination capacity. The fits of 500 bootstrap replicates of the data set demonstrated the robustness of the developed population pharmacokinetic model. CONCLUSION: A population pharmacokinetic model has been designed and validated that accurately describes the data of four phase I studies with E7070. Furthermore, it has been demonstrated that BSA-guided dosing for E7070 is important.


2010 ◽  
Vol 13 (1) ◽  
pp. 444-452 ◽  
Author(s):  
Elena Andrade ◽  
Constantino Arce ◽  
Julio Torrado ◽  
Javier Garrido ◽  
Cristina De Francisco ◽  
...  

The purpose of this study was to examine the extent to which the Spanish POMS assesses the same factors as the original form of the questionnaire. We started from a version with 63 items, representing seven conceptual dimensions. This version was administered to a sample of 364 adult athletes. In the whole sample, exploratory factor analytic findings suggested a more parsimonious measurement model, with 44 items and 6 first-order factors. Then the data from said sample were randomly divided into two sets, each containing about 50% of the subjects. The fit of the first sample set (n = 166) to the proposed model was adequate. Four of the main goodness-of-fit indices exhibited the following values: CFI = .95, NNFI = .95, SRMR = .083, and RMSEA = .064. We tested the same model in the second data set (n = 198), in which the fit was also acceptable, with values of .95, .94, .088, and .066 for CFI, NNFI, SRMR, and RMSEA, respectively. In addition, we used multi-group confirmatory factor analysis to provide evidence on the invariance of the model.


2016 ◽  
Vol 60 (9) ◽  
pp. 5483-5491 ◽  
Author(s):  
Amit Desai ◽  
Laura Kovanda ◽  
Donna Kowalski ◽  
Qiaoyang Lu ◽  
Robert Townsend ◽  
...  

ABSTRACTIsavuconazole, the active moiety of the water-soluble prodrug isavuconazonium sulfate, is a triazole antifungal agent used for the treatment of invasive fungal infections. The objective of this analysis was to develop a population pharmacokinetic (PPK) model to identify covariates that affect isavuconazole pharmacokinetics and to determine the probability of target attainment (PTA) for invasive aspergillosis patients. Data from nine phase 1 studies and one phase 3 clinical trial (SECURE) were pooled to develop the PPK model (NONMEM, version 7.2). Stepwise covariate modeling was performed in Perl-speaks-NONMEM, version 3.7.6. The area under the curve (AUC) at steady state was calculated for 5,000 patients by using Monte Carlo simulations. The PTA using the estimated pharmacodynamic (PD) target value (total AUC/MIC ratio) estimated fromin vivoPD studies of invasive aspergillosis over a range of MIC values was calculated using simulated patient AUC values. A two-compartment model with a Weibull absorption function and a first-order elimination process adequately described plasma isavuconazole concentrations. The mean estimate for isavuconazole clearance was 2.360 liters/h (percent coefficient of variation [%CV], 34%), and the mean AUC from 0 to 24 h (AUC0–24) was ∼100 mg·h/liter. Clearance was approximately 36% lower in Asians than in Caucasians. The PTA calculated over a range of MIC values by use of the nonneutropenic murine efficacy index corresponding to 90% survival indicated that adequate isavuconazole exposures were achieved in >90% of simulated patients to treat infections with MICs up to and including 1 mg/liter according to European Committee on Antimicrobial Susceptibility Testing methodology and in >90% of simulated patients for infections with MICs up to and including 0.5 mg/liter according to Clinical and Laboratory Standards Institute methodology. The highest MIC result for PTA was the same for Caucasian and Asian patients.


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