scholarly journals Caspofungin Weight-Based Dosing Supported by a Population Pharmacokinetic Model in Critically Ill Patients

2020 ◽  
Vol 64 (9) ◽  
Author(s):  
Anne-Grete Märtson ◽  
Kim C. M. van der Elst ◽  
Anette Veringa ◽  
Jan G. Zijlstra ◽  
Albertus Beishuizen ◽  
...  

ABSTRACT The objective of this study was to develop a population pharmacokinetic model and to determine a dosing regimen for caspofungin in critically ill patients. Nine blood samples were drawn per dosing occasion. Fifteen patients with (suspected) invasive candidiasis had one dosing occasion and five had two dosing occasions, measured on day 3 (±1) of treatment. Pmetrics was used for population pharmacokinetic modeling and probability of target attainment (PTA). A target 24-h area under the concentration-time curve (AUC) value of 98 mg·h/liter was used as an efficacy parameter. Secondarily, the AUC/MIC targets of 450, 865, and 1,185 were used to calculate PTAs for Candida glabrata, C. albicans, and C. parapsilosis, respectively. The final 2-compartment model included weight as a covariate on volume of distribution (V). The mean V of the central compartment was 7.71 (standard deviation [SD], 2.70) liters/kg of body weight, the mean elimination constant (Ke) was 0.09 (SD, 0.04) h−1, the rate constant for the caspofungin distribution from the central to the peripheral compartment was 0.44 (SD, 0.39) h−1, and the rate constant for the caspofungin distribution from the peripheral to the central compartment was 0.46 (SD, 0.35) h−1. A loading dose of 2 mg/kg on the first day, followed by 1.25 mg/kg as a maintenance dose, was chosen. With this dose, 98% of the patients were expected to reach the AUC target on the first day and 100% of the patients on the third day. The registered caspofungin dose might not be suitable for critically ill patients who were all overweight (≥120 kg), over 80% of median weight (78 kg), and around 25% of lower weight (≤50 kg). A weight-based dose regimen might be appropriate for achieving adequate exposure of caspofungin in intensive care unit patients.

2019 ◽  
Vol 64 (1) ◽  
Author(s):  
Fekade B. Sime ◽  
Melissa Lassig-Smith ◽  
Therese Starr ◽  
Janine Stuart ◽  
Saurabh Pandey ◽  
...  

ABSTRACT The aim of this work was to describe optimized dosing regimens of ceftolozane-tazobactam for critically ill patients receiving continuous venovenous hemodiafiltration (CVVHDF). We conducted a prospective observational pharmacokinetic study in adult critically ill patients with clinical indications for ceftolozane-tazobactam and CVVHDF. Unbound drug concentrations were measured from serial prefilter blood, postfilter blood, and ultrafiltrate samples by a chromatographic assay. Population pharmacokinetic modeling and dosing simulations were performed using Pmetrics. A four-compartment pharmacokinetic model adequately described the data from six patients. The mean (± standard deviation [SD]) extraction ratios for ceftolozane and tazobactam were 0.76 ± 0.08 and 0.73 ± 0.1, respectively. The mean ± SD sieving coefficients were 0.94 ± 0.24 and 1.08 ± 0.30, respectively. Model-estimated CVVHDF clearance rates were 2.7 ± 0.8 and 3.0 ± 0.6 liters/h, respectively. Residual non-CVVHDF clearance rates were 0.6 ± 0.5 and 3.3 ± 0.9 liters/h, respectively. In the initial 24 h, doses as low as 0.75 g every 8 h enabled cumulative fractional response of ≥85% for empirical coverage against Pseudomonas aeruginosa, considering a 40% fT>MIC (percentage of time the free drug concentration was above the MIC) target. For 100% fT>MIC, doses of at least 1.5 g every 8 h were required. The median (interquartile range) steady-state trough ceftolozane concentrations for simulated regimens of 1.5 g and 3.0 g every 8 h were 28 (21 to 42) and 56 (42 to 84) mg/liter, respectively. The corresponding tazobactam concentrations were 6.1 (5.5 to 6.7) and 12.1 (11.0 to 13.4) mg/liter, respectively. We suggest a front-loaded regimen with a single 3.0-g loading dose followed by 0.75 g every 8 h for critically ill patients undergoing CVVHDF with study blood and dialysate flow rates.


2017 ◽  
Vol 61 (8) ◽  
Author(s):  
Jiao Xie ◽  
Jason A. Roberts ◽  
Abdulaziz S. Alobaid ◽  
Claire Roger ◽  
Yan Wang ◽  
...  

ABSTRACT We sought to describe the population pharmacokinetics of tigecycline in critically ill patients and to determine optimized dosing regimens of tigecycline for different bacterial infections. This prospective study included 10 critically ill patients given a standard dose of tigecycline. Blood samples were collected during one dosing interval and were analyzed using validated chromatography. Population pharmacokinetics and Monte Carlo dosing simulations were undertaken using Pmetrics. Three target exposures, expressed as ratios of the 24-h area under the curve to MICs (AUC0–24/MIC), were evaluated (≥17.9 for skin infections, ≥6.96 for intra-abdominal infections, ≥4.5 for hospital-acquired pneumonia). The median age, total body weight, and body mass index (BMI) were 67 years, 69.1 kg, and 24.7 kg/m2, respectively. A two-compartment linear model best described the time course of tigecycline concentrations. The parameter estimates (expressed as means ± standard deviations [SD]) from the final model were as follows: clearance (CL), 7.50 ± 1.11 liters/h; volume in the central compartment, 72.50 ± 21.18 liters; rate constant for tigecycline distribution from the central to the peripheral compartment, 0.31 ± 0.16 h−1; and rate constant for tigecycline distribution from the peripheral to the central compartment, 0.29 ± 0.30 h−1. A larger BMI was associated with increased CL of tigecycline. Licensed doses were found to be sufficient for Enterobacter cloacae, Escherichia coli, Klebsiella pneumoniae, and methicillin-resistant Staphylococcus aureus for an AUC0–24/MIC target of 4.5 or 6.96. For a therapeutic target of 17.9, an increased tigecycline dose is required, especially for patients with higher BMI. The dosing requirements of tigecycline differ with the indication, with pathogen susceptibility, and potentially with patient BMI.


Pharmaceutics ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 54 ◽  
Author(s):  
Amaia Soraluce ◽  
Helena Barrasa ◽  
Eduardo Asín-Prieto ◽  
Jose Ángel Sánchez-Izquierdo ◽  
Javier Maynar ◽  
...  

Antimicrobial treatment in critically ill patients remains challenging. The aim of this study was to develop a population pharmacokinetic model for linezolid in critically ill patients and to evaluate the adequacy of current dosing recommendation (600 mg/12 h). Forty inpatients were included, 23 of whom were subjected to continuous renal replacement therapies (CRRT). Blood and effluent samples were drawn after linezolid administration at defined time points, and linezolid levels were measured. A population pharmacokinetic model was developed, using NONMEM 7.3. The percentage of patients that achieved the pharmacokinetic/pharmacodynamic (PK/PD) targets was calculated (AUC24/MIC > 80 and 100% T>MIC). A two-compartment model best described the pharmacokinetics of linezolid. Elimination was conditioned by the creatinine clearance and by the extra-corporeal clearance if the patient was subjected to CRRT. For most patients, the standard dose of linezolid did not cover infections caused by pathogens with MIC ≥ 2 mg/L. Continuous infusion may be an alternative, especially when renal function is preserved.


2017 ◽  
Vol 61 (12) ◽  
Author(s):  
Susanna Edith Medellín-Garibay ◽  
Silvia Romano-Moreno ◽  
Pilar Tejedor-Prado ◽  
Noelia Rubio-Álvaro ◽  
Aida Rueda-Naharro ◽  
...  

ABSTRACT Pathophysiological changes involved in drug disposition in critically ill patients should be considered in order to optimize the dosing of vancomycin administered by continuous infusion, and certain strategies must be applied to reach therapeutic targets on the first day of treatment. The aim of this study was to develop a population pharmacokinetic model of vancomycin to determine clinical covariates, including mechanical ventilation, that influence the wide variability of this antimicrobial. Plasma vancomycin concentrations from 54 critically ill patients were analyzed simultaneously by a population pharmacokinetic approach. A nomogram for dosing recommendations was developed and was internally evaluated through stochastic simulations. The plasma vancomycin concentration-versus-time data were best described by a one-compartment open model with exponential interindividual variability associated with vancomycin clearance and the volume of distribution. Residual error followed a homoscedastic trend. Creatinine clearance and body weight significantly dropped the objective function value, showing their influence on vancomycin clearance and the volume of distribution, respectively. Characterization based on the presence of mechanical ventilation demonstrated a 20% decrease in vancomycin clearance. External validation (n = 18) was performed to evaluate the predictive ability of the model; median bias and precision values were 0.7 mg/liter (95% confidence interval [CI], −0.4, 1.7) and 5.9 mg/liter (95% CI, 5.4, 6.4), respectively. A population pharmacokinetic model was developed for the administration of vancomycin by continuous infusion to critically ill patients, demonstrating the influence of creatinine clearance and mechanical ventilation on vancomycin clearance, as well as the implications for targeting dosing rates to reach the therapeutic range (20 to 30 mg/liter).


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 54 (9) ◽  
pp. 3635-3640 ◽  
Author(s):  
Jason A. Roberts ◽  
Jonathan Field ◽  
Adam Visser ◽  
Rosemary Whitbread ◽  
Mandy Tallot ◽  
...  

ABSTRACT The objective of the present prospective pharmacokinetic study was to describe the variability of plasma gentamicin concentrations in critically ill patients with acute kidney injury (AKI) necessitating extended daily diafiltration (EDD-f) using a population pharmacokinetic model and to subsequently perform Monte Carlo dosing simulations to determine which dose regimen achieves the pharmacodynamic targets the most consistently. We collected data from 28 gentamicin doses in 14 critically ill adult patients with AKI requiring EDD-f and therapeutic gentamicin. Serial plasma samples were collected. A population pharmacokinetic model was used to describe the pharmacokinetics of gentamicin and perform Monte Carlo simulations with doses of between 3 mg/kg of body weight and 7 mg/kg and at various time points before commencement of EDD-f to evaluate the optimal dosing regimen for achieving pharmacodynamic targets. A two-compartment pharmacokinetic model adequately described the gentamicin clearance while patients were on and off EDD-f. The plasma half-life of gentamicin during EDD-f was 13.8 h, whereas it was 153.4 h without EDD-f. Monte Carlo simulations suggest that dosing with 6 mg/kg every 48 h either 30 min or 1 h before the commencement of EDD-f results in 100% attainment of the target maximum concentration drug in plasma (<10 mg/liter) and sufficient attainment of the target area under the concentration-time curve from 0 to 24 h (AUC0-24; 70 to 120 mg·h/liter). None of the simulated dosing regimens satisfactorily achieved the targets of the minimum concentrations of drug in plasma (<1.0 mg/liter) at 24 h. In conclusion, dosing of gentamicin 30 min to 1 h before the commencement of an EDD-f treatment enables attainment of target peak concentrations for maximal therapeutic effect while enhancing drug clearance to minimize toxicity. Redosing in many patients should occur after 48 h, and we recommend the use of therapeutic drug monitoring to guide dosing to optimize achievement of the AUC0-24 targets.


2015 ◽  
Vol 59 (10) ◽  
pp. 6471-6476 ◽  
Author(s):  
Suzanne L. Parker ◽  
Frantzeska Frantzeskaki ◽  
Steven C. Wallis ◽  
Chryssa Diakaki ◽  
Helen Giamarellou ◽  
...  

ABSTRACTThis study describes the population pharmacokinetics of fosfomycin in critically ill patients. In this observational study, serial blood samples were taken over several dosing intervals of intravenous fosfomycin treatment. Blood samples were analyzed using a validated liquid chromatography-tandem mass spectrometry technique. A population pharmacokinetic analysis was performed using nonlinear mixed-effects modeling. Five hundred fifteen blood samples were collected over one to six dosing intervals from 12 patients. The mean (standard deviation) age was 62 (17) years, 67% of patients were male, and creatinine clearance (CLCR) ranged from 30 to 300 ml/min. A two-compartment model with between-subject variability on clearance and volume of distribution of the central compartment (Vc) described the data adequately. Calculated CLCRwas supported as a covariate on fosfomycin clearance. The mean parameter estimates for clearance on the first day were 2.06 liters/h,Vcof 27.2 liters, intercompartmental clearance of 19.8 liters/h, and volume of the peripheral compartment of 22.3 liters. We found significant pharmacokinetic variability for fosfomycin in this heterogeneous patient sample, which may be explained somewhat by the observed variations in renal function.


1998 ◽  
Vol 42 (5) ◽  
pp. 1098-1104 ◽  
Author(s):  
Sandra L. Preston ◽  
George L. Drusano ◽  
Adam L. Berman ◽  
Cynthia L. Fowler ◽  
Andrew T. Chow ◽  
...  

ABSTRACT Population pharmacokinetic modeling is a useful approach to obtaining estimates of both population and individual pharmacokinetic parameter values. The potential for relating pharmacokinetic parameters to pharmacodynamic outcome variables, such as efficacy and toxicity, exists. A logistic regression relationship between the probability of a successful clinical and microbiological outcome and the peak concentration-to-MIC ratio (and also the area under the plasma concentration-time curve [AUC]/MIC ratio) has previously been developed for levofloxacin; however, levofloxacin assays for determination of the concentration in plasma are not readily available. We attempted to derive and validate demographic variable models to allow prediction of the peak concentration in plasma and clearance (CL) from plasma for levofloxacin. Two hundred seventy-two patients received levofloxacin intravenously for the treatment of community-acquired infection of the respiratory tract, skin or soft tissue, or urinary tract, and concentrations in plasma, guided by optimal sampling theory, were obtained. Patient data were analyzed by the Non-Parametric Expectation Maximization approach. Maximum a posteriori probability Bayesian estimation was used to generate individual parameter values, including CL. Peak concentrations were simulated from these estimates. The first 172 patients were used to produce demographic models for the prediction of CL and the peak concentration. The remaining 100 patients served as the validation group for the model. A median bias and median precision were calculated. A two-compartment model was used for the population pharmacokinetic analysis. The mean CL and the mean volume of distribution of the central compartment (V 1) were 9.27 liters/h and 0.836 liter/kg, respectively. The mean values for the intercompartmental rate constants, the rate constant from the central compartment to the peripheral compartment (K cp) and the rate constant from the peripheral compartment to the central compartment (K pc), were 0.487 and 0.647 h−1, respectively. The mean peak concentration and the mean AUC values normalized to a dosage of 500 mg every 24 h were 8.67 μg/ml and 72.53 μg · h/ml, respectively. The variables included in the final model for the prediction of CL were creatinine clearance (CLCR), race, and age. The median bias and median precision were 0.5 and 18.3%, respectively. Peak concentrations were predicted by using the demographic model-predicted parameters of CL,V 1, K cp, andK pc, in the simulation. The median bias and the median precision were 3.3 and 21.8%, respectively. A population model of the disposition of levofloxacin has been developed. Population demographic models for the prediction of peak concentration and CL from plasma have also been successfully developed. However, the performance of the model for the prediction of peak concentration was likely insufficient to be of adequate clinical utility. The model for the prediction of CL was relatively robust, with acceptable bias and precision, and explained a reasonable amount of the variance in the CL of levofloxacin from plasma in the population (r 2 = 0.396). Estimated CLCR, age, and race were the final model covariates, with CLCRexplaining most of the population variance in the CL of levofloxacin from plasma. This model can potentially optimize the benefit derived from the pharmacodynamic relationships previously developed for levofloxacin.


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