Cefepime precision dosing tool: From Standard to Precise Dose Using Nonparametric Population Pharmacokinetics

2021 ◽  
Author(s):  
Mohammad H. Alshaer ◽  
Sylvain Goutelle ◽  
Barbara Santevecchi ◽  
Bethany Shoulders ◽  
Veena Venugopalan ◽  
...  
Keyword(s):  
Compartment Model ◽  
Volume Of Distribution ◽  
Target Range ◽  
Population Pharmacokinetic ◽  
Support Points ◽  
Two Compartment Model ◽  
Central Volume ◽  
Model Support ◽  
Median Rate ◽  
Concentration Prediction

Cefepime is the second most common cephalosporin used in U.S. hospitals. We aim to develop and validate cefepime population pharmacokinetic (PK) model and integrate into precision dosing tool for implementation. Two datasets (680 patients) were used to build cefepime PK model in Pmetrics, and three datasets (34 patients) were used for the validation. A separate application dataset (115 patients) was used for the implementation and validation of a precision dosing tool. The model support points and covariates were used to generate the optimal initial dose (OID). Cefepime PK was described by a two-compartment model including weight and creatinine clearance (CrCl) as covariates. The median rate of elimination was 0.30 hr −1 (adults) and 0.96 hr −1 (pediatrics), central volume of distribution 13.85 L, and rate of transfer from the central to the peripheral compartments 1.22 hr −1 and from the peripheral to the central compartments 1.38 hr −1 . After integration in BestDose, the observed vs. predicted cefepime concentration fit using the application dataset was excellent (R 2 >0.98) and the median difference between observed and what BestDose predicted in a second occasion was 4%. For OID, cefepime 0.5-1g 4-hour infusion q8-24hr with CrCl<70 mL/min was needed to achieve a target range of free trough:MIC 1-4 at MIC 8 mg/L, while continuous infusion was needed for higher CrCl and weight values. In conclusion, we developed and validated a cefepime model for clinical application. The model was integrated in a precision dosing tool for implementation and the median concentration prediction bias was 4%. OID algorithm was provided.

scholarly journals 1573. Population Pharmacokinetic Analyses for Cefepime in Adult and Pediatric Patients

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S574-S575
Author(s):  
Jiajun Liu ◽  
Michael Neely ◽  
Jeffrey Lipman ◽  
Fekade B Sime ◽  
Jason Roberts ◽  
...  
Keyword(s):  
Rate Constant ◽  
Pediatric Patients ◽  
Validation Cohort ◽  
External Validation ◽  
Compartment Model ◽  
Volume Of Distribution ◽  
Information Criteria ◽  
Population Pharmacokinetic ◽  
Final Model ◽  
Two Compartment Model

Abstract Background Cefepime (CEF) is commonly used for adult and pediatric infections. Several studies have examined CEF’s pharmacokinetics (PK) in various populations; however, a unifying PK model for adult and pediatric subjects does not yet exist. We developed a combined population model for adult and pediatric patients and validated the model. Methods The initial model includes adult and pediatric patients with a rich cefepime sampling design. All adults received 2 g CEF while pediatric subjects received a mean of 49 (SD 5) mg/kg. One- and two-compartment models were considered as base models and were fit using a non-parametric adaptive grid algorithm within the Pmetrics package 1.5.2 (Los Angeles, CA) for R 3.5.1. Compartmental model selection was based on Akaike information criteria (AIC). Covariate relationships with PK parameters were visually inspected and mathematically assessed. Predictive performance was evaluated using bias and imprecision of the population and individual prediction models. External validation was conducted using a separate adult cohort. Results A total of 45 subjects (n = 9 adults; n = 36 pediatrics) were included in the initial PK model build and 12 subjects in the external validation cohort. Overall, the data were best described using a two-compartment model with volume of distribution (V) normalized to total body weight (TBW/70 kg) and an allometric scaled elimination rate constant (Ke) for pediatric subjects (AIC = 4,138.36). Final model observed vs. predicted plots demonstrated good fit (population R2 = 0.87, individual R2 = 0.97, Figure 1a and b). For the final model, the population median parameter values (95% credibility interval) were V0 (total volume of distribution), 11.7 L (10.2–14.6); Ke for adult, 0.66 hour−1 (0.38–0.78), Ke for pediatrics, 0.82 hour−1 (0.64–0.85), KCP (rate constant from central to peripheral compartment), 1.4 hour−1 (1.3–1.8), KPC (rate constant from peripheral to central compartment), 1.6 hour−1 (1.2–1.8). The validation cohort has 12 subjects, and the final model fit the data well (individual R2 = 0.75). Conclusion In this diverse group of adult and pediatrics, a two-compartment model described CEF PK well and was externally validated with a unique cohort. This model can serve as a population prior for real-time PK software algorithms. Disclosures All authors: No reported disclosures.

Population pharmacokinetics of daptomycin in patients with bone and joint infection: minimal effect of rifampicin co-administration and confirmation of a sex difference

2021 ◽  
Author(s):  
Romain Garreau ◽  
Romain Bricca ◽  
Marie-Claude Gagnieu ◽  
Sandrine Roux ◽  
Anne Conrad ◽  
...  
Keyword(s):  
Joint Infection ◽  
Compartment Model ◽  
Volume Of Distribution ◽  
Individual Variability ◽  
Therapeutic Drug ◽  
Marginal Effect ◽  
Bone And Joint Infection ◽  
Two Compartment Model ◽  
Central Volume ◽  
Trough Concentrations

Abstract Background Daptomycin is increasingly used in the treatment of bone and joint infection (BJI), but its pharmacokinetics (PK) and dosage requirements have not been thoroughly investigated in this indication. Daptomycin may be co-administered with rifampicin, which raises questions about a potential drug interaction. Objectives To investigate the population PK and dosage requirements of daptomycin in patients with BJI, and examine the influence of rifampicin co-administration. Methods A population approach was used to analyse PK data from patients who received daptomycin in our regional reference for BJI. We examined the influence of available covariates, including rifampicin co-administration on daptomycin PK. Simulations performed with the final model investigated the influence of dosages and covariates on PTA for both efficacy and safety. Results A total of 1303 daptomycin concentrations from 183 patients were analysed. A two-compartment model best described the data. Significant intra-individual variability was observed. Daptomycin clearance was influenced by renal function and sex, with females having a 26% lower typical clearance than males. Central volume of distribution (V1) was influenced by body weight, age, sex and rifampicin co-administration. Typical V1 was 11% lower in patients who were co-administered rifampicin. In PK/PD simulations, sex influenced the probability of AUC24/MIC target attainment, while rifampicin had a marginal effect. Conclusions A daptomycin dosage of 8 mg/kg/24 h in women and 10 mg/kg/24 h in men should optimize efficacy but may lead to excessive trough concentrations in many patients, especially in women. Therapeutic drug monitoring appears necessary for precision dosing of daptomycin.

scholarly journals Pharmacokinetics of Micafungin in Critically Ill Patients

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Silke Gastine ◽  
Christian Lanckohr ◽  
Magalie Blessou ◽  
Dagmar Horn ◽  
Manfred Fobker ◽  
...  
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Compartment Model ◽  
Volume Of Distribution ◽  
Study Cohort ◽  
Linear Mixed Effects ◽  
Two Compartment Model ◽  
The Status ◽  
Linear Elimination ◽  
Central Volume

AbstractWe investigated covariates of pharmacokinetics of micafungin in critically ill patients. After application of micafungin, plasma samples were collected. Non-linear mixed effects modelling (NONMEM 7.3) was used to develop the pharmacokinetic model. Using this model, the adequacy of a fixed 100 mg dosing regimen was evaluated in the study cohort. A two-compartment model with linear elimination was found to describe the obtained data. SOFA score was identified as a significant covariate on both clearance and central volume of distribution, respectively. Patients in highly critical condition, represented by a SOFA above 10 showed a 30.8% lower central volume of distribution than the less critically ill patients. For patients with bilirubin levels above 4 mg/dl, clearance was decreased by 21.1%. Renal replacement therapy (RRT) did not influence micafungin clearance or the volumes of distribution. In a posthoc evaluation of the modeled population, 100 mg micafungin was suitable when assessing the PKPD targets (AUC/MIC) for C. albicans and C. glabrata, with insufficient target attainment for C. parapsilosis. Micafungin pharmacokinetics appear not to be influenced by the status of RRT. A dose of 100 mg micafungin is suitable for infections with C. albicans and C. glabrata in critically ill patients.

POPULATION PHARMACOKINETICS OF INTRAVENOUS ALBUTEROL IN CHILDREN WITH STATUS ASTHMATICUS

2015 ◽  
Vol 101 (1) ◽  
pp. e1.31-e1
Author(s):  
Nienke J Vet ◽  
Brenda CM de Winter ◽  
Saskia N de Wildt ◽  
Bart CH van der Nagel ◽  
Catherijne AJ Knibbe ◽  
...  
Keyword(s):  
Population Pharmacokinetics ◽  
Status Asthmaticus ◽  
Clinical Symptoms ◽  
Compartment Model ◽  
Population Pharmacokinetic Analysis ◽  
Volume Of Distribution ◽  
Pharmacokinetic Analysis ◽  
Population Pharmacokinetic ◽  
Creatinine Concentration ◽  
Central Volume

ObjectivesTo develop a population pharmacokinetic model of R-albuterol and S-albuterol for children suffering from status asthmaticus following continuous intravenous administration.MethodsAt the pediatric ICU 19 children suffering from severe status asthmaticus were treated using continuous intravenous albuterol in doses based on clinical symptoms (range 0.1–10 µg/kg/min). During therapy 111 blood samples were collected and analysed for R- and S-albuterol using a validated LC/MS-MS method. A population pharmacokinetic analysis was conducted using non-linear mixed effects modelling (NONMEM 7.2). Data was logarithmically transformed. Model selection criteria were decrease in objective function, diagnostic plots and NPDE. The covariates (range) analysed were bodyweight (7.8–70 kg), age (0.8–15.3 years), creatinine concentration (17–70 µmol/L), alanine transaminase (5–29 IU/L), and urea (1.6–4.8 mmol/L).ResultsA two-compartment model with separated clearance for R- (16.3 L/h) and S-albuterol (8.8 L/h) best described the data. Separated values for central volume of distribution (12.9 L), peripheral volume of distribution (45.2 L) and intercompartmental clearance (20.0 L/h) did not improve the model. Between-subject variability was described for clearance of R-albuterol (42%), clearance of S-albuterol (37%) and central volume of distribution (280%). Weight is a significant covariate using a power function. The exponent of the powerfunction was fixed at 0.75 for clearance and intercompartmental and at 1 for central and peripheral volume of distribution. Estimation of the exponent resulted in similar values and did not improve the model. No other covariates were identified.ConclusionThe population pharmacokinetics of R- and S-albuterol are described. This model can be used to evaluate the correlation between albuterol pharmacokinetics and effect in a population pharmacokinetic-pharmacodynamic analysis.

scholarly journals Pharmacokinetic Modelling to Predict FVIII:C Response to Desmopressin and Its Reproducibility in Nonsevere Haemophilia A Patients

2018 ◽  
Vol 47 (04) ◽  
pp. 621-629 ◽  
Author(s):  
Lisette Schütte ◽  
Reinier van Hest ◽  
Sara Stoof ◽  
Frank Leebeek ◽  
Marjon Cnossen ◽  
...  
Keyword(s):  
Compartment Model ◽  
Volume Of Distribution ◽  
Time Profile ◽  
Small Subset ◽  
Population Pharmacokinetic ◽  
Haemophilia A ◽  
Mixed Effect ◽  
Large Variability ◽  
Nonlinear Mixed Effect ◽  
Two Compartment Model

Background Nonsevere haemophilia A (HA) patients can be treated with desmopressin. Response of factor VIII activity (FVIII:C) differs between patients and is difficult to predict. Objectives Our aims were to describe FVIII:C response after desmopressin and its reproducibility by population pharmacokinetic (PK) modelling. Patients and Methods Retrospective data of 128 nonsevere HA patients (age 7–75 years) receiving an intravenous or intranasal dose of desmopressin were used. PK modelling of FVIII:C was performed by nonlinear mixed effect modelling. Reproducibility of FVIII:C response was defined as less than 25% difference in peak FVIII:C between administrations. Results A total of 623 FVIII:C measurements from 142 desmopressin administrations were available; 14 patients had received two administrations at different occasions. The FVIII:C time profile was best described by a two-compartment model with first-order absorption and elimination. Interindividual variability of the estimated baseline FVIII:C, central volume of distribution and clearance were 37, 43 and 50%, respectively. The most recently measured FVIII:C (FVIII-recent) was significantly associated with FVIII:C response to desmopressin (p < 0.001). Desmopressin administration resulted in an absolute FVIII:C increase of 0.47 IU/mL (median, interquartile range: 0.32–0.65 IU/mL, n = 142). FVIII:C response was reproducible in 6 out of 14 patients receiving two desmopressin administrations. Conclusion FVIII:C response to desmopressin in nonsevere HA patients was adequately described by a population PK model. Large variability in FVIII:C response was observed, which could only partially be explained by FVIII-recent. FVIII:C response was not reproducible in a small subset of patients. Therefore, monitoring FVIII:C around surgeries or bleeding might be considered. Research is needed to study this further.

scholarly journals Rapidly maturing fentanyl clearance in preterm neonates

2019 ◽  
Vol 104 (6) ◽  
pp. F598-F603 ◽  
Author(s):  
Swantje Völler ◽  
Robert B Flint ◽  
Peter Andriessen ◽  
Karel Allegaert ◽  
Luc J I Zimmermann ◽  
...  
Keyword(s):  
Gestational Age ◽  
Compartment Model ◽  
Volume Of Distribution ◽  
Preterm Neonates ◽  
Population Pharmacokinetic ◽  
Additional Information ◽  
Two Compartment Model ◽  
Require Dose ◽  
Preterm Newborns ◽  
Pharmacodynamic Data

BackgroundFentanyl is frequently used off-label in preterm newborns. Due to very limited pharmacokinetic and pharmacodynamic data, fentanyl dosing is mostly based on bodyweight. This study describes the maturation of the pharmacokinetics in preterm neonates born before 32 weeks of gestation.Methods442 plasma samples from 98 preterm neonates (median gestational age: 26.9 (range 23.9–31.9) weeks, postnatal age: 3 (range 0–68) days, bodyweight 1.00 (range 0.39–2.37) kg) were collected in an opportunistic trial and fentanyl plasma levels were determined. NONMEM V.7.3 was used to develop a population pharmacokinetic model and to perform simulations.ResultsFentanyl pharmacokinetics was best described by a two-compartment model. A pronounced non-linear influence of postnatal and gestational age on clearance was identified. Clearance (L/hour/kg) increased threefold, 1.3-fold and 1.01-fold in the first, second and third weeks of life, respectively. In addition, clearance (L/hour/kg) was 1.4-fold and 1.7-fold higher in case of a gestational age of 28 and 31 weeks, respectively, compared with 25 weeks. Volume of distribution changed linearly with bodyweight and was 8.7 L/kg. To achieve similar exposure across the entire population, a continuous infusion (µg/kg/hour) dose should be reduced by 50% and 25% in preterm neonates with a postnatal age of 0–4 days and 5–9 days in comparison to 10 days and older.ConclusionBecause of low clearance, bodyweight-based dosages may result in fentanyl accumulation in neonates with the lowest postnatal and gestational ages which may require dose reduction. Together with additional information on the pharmacodynamics, the results of this study can be used to guide dosing.

scholarly journals Population Pharmacokinetic Analysis of Voriconazole and Anidulafungin in Adult Patients with Invasive Aspergillosis

2014 ◽  
Vol 58 (8) ◽  
pp. 4718-4726 ◽  
Author(s):  
Ping Liu ◽  
Diane R. Mould
Keyword(s):  
Invasive Aspergillosis ◽  
Area Under The Curve ◽  
Compartment Model ◽  
Population Pharmacokinetic Analysis ◽  
Institutional Review Boards ◽  
Pharmacokinetic Analysis ◽  
Population Pharmacokinetic ◽  
Parameter Estimates ◽  
First Order ◽  
Two Compartment Model

ABSTRACTTo assess the pharmacokinetics (PK) of voriconazole and anidulafungin in patients with invasive aspergillosis (IA) in comparison with other populations, sparse PK data were obtained for 305 adults from a prospective phase 3 study comparing voriconazole and anidulafungin in combination versus voriconazole monotherapy (voriconazole, 6 mg/kg intravenously [IV] every 12 h [q12h] for 24 h followed by 4 mg/kg IV q12h, switched to 300 mg orally q12h as appropriate; with placebo or anidulafungin IV, a 200-mg loading dose followed by 100 mg q24h). Voriconazole PK was described by a two-compartment model with first-order absorption and mixed linear and time-dependent nonlinear (Michaelis-Menten) elimination; anidulafungin PK was described by a two-compartment model with first-order elimination. For voriconazole, the normal inverse Wishart prior approach was implemented to stabilize the model. Compared to previous models, no new covariates were identified for voriconazole or anidulafungin. PK parameter estimates of voriconazole and anidulafungin are in agreement with those reported previously except for voriconazole clearance (the nonlinear clearance component became minimal). At a 4-mg/kg IV dose, voriconazole exposure tended to increase slightly as age, weight, or body mass index increased, but the difference was not considered clinically relevant. Estimated voriconazole exposures in IA patients at 4 mg/kg IV were higher than those reported for healthy adults (e.g., the average area under the curve over a 12-hour dosing interval [AUC0–12] at steady state was 46% higher); while it is not definitive, age and concomitant medications may impact this difference. Estimated anidulafungin exposures in IA patients were comparable to those reported for the general patient population. This study was approved by the appropriate institutional review boards or ethics committees and registered on ClinicalTrials.gov (NCT00531479).

Population pharmacokinetic modeling and dosing simulations of tobramycin in pediatric patients with cystic fibrosis

2021 ◽  
Author(s):  
Antonin Praet ◽  
Laurent Bourguignon ◽  
Florence Vetele ◽  
Valentine Breant ◽  
Charlotte Genestet ◽  
...  
Keyword(s):  
Cystic Fibrosis ◽  
Dose Adjustment ◽  
Total Body Weight ◽  
Compartment Model ◽  
Therapeutic Drug ◽  
Population Pharmacokinetic ◽  
Time Curve ◽  
Population Pharmacokinetic Modeling ◽  
Two Compartment Model ◽  
Total Body

Initial dosing and dose adjustment of intravenous tobramycin in cystic fibrosis children is challenging. The objectives of this study were to develop nonparametric population pharmacokinetic (PK) models of tobramycin in children with CF to be used for dosage design and model-guided therapeutic drug monitoring. We performed a retrospective analysis of tobramycin PK data in our CF children center. The Pmetrics package was used for nonparametric population PK analysis and dosing simulations. Both the maximal concentration over the MIC (Cmax/MIC) and daily area under the concentration-time curve to the MIC (AUC 24 /MIC) ratios were considered as efficacy target. Trough concentration (Cmin) was considered as the safety target. A total of 2884 tobramycin concentrations collected in 195 patients over 9 years were analyzed. A two-compartment model including total body weight, body surface area and creatinine clearance as covariates best described the data. A simpler model was also derived for implementation into the BestDose software to perform Bayesian dose adjustment. Both models were externally validated. PK/PD simulations with the final model suggest that an initial dose of tobramycin of 15 to 17.5 mg/kg/day was necessary to achieve Cmax/MIC ≥ 10 values for MIC values up to 2 mg/L in most patients. The AUC 24 /MIC target was associated with larger dosage requirements and higher Cmin. A daily dose of 12.5 mg/kg would optimize both efficacy and safety target attainment. We recommend to perform tobramycin TDM, model-based dose adjustment, and MIC determination to individualize intravenous tobramycin therapy in children with CF.

scholarly journals Population pharmacokinetic meta-analysis of individual data to design the first randomized efficacy trial of vancomycin in neonates and young infants

2019 ◽  
Vol 74 (8) ◽  
pp. 2128-2138 ◽  
Author(s):  
Evelyne Jacqz-Aigrain ◽  
Stéphanie Leroux ◽  
Alison H Thomson ◽  
Karel Allegaert ◽  
Edmund V Capparelli ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Intermittent Infusion ◽  
Compartment Model ◽  
Population Pharmacokinetic ◽  
Dosing Regimen ◽  
Blue Book ◽  
Young Infants ◽  
Optimal Dosing ◽  
Two Compartment Model ◽  
Postmenstrual Age

Abstract Objectives In the absence of consensus, the present meta-analysis was performed to determine an optimal dosing regimen of vancomycin for neonates. Methods A ‘meta-model’ with 4894 concentrations from 1631 neonates was built using NONMEM, and Monte Carlo simulations were performed to design an optimal intermittent infusion, aiming to reach a target AUC0–24 of 400 mg·h/L at steady-state in at least 80% of neonates. Results A two-compartment model best fitted the data. Current weight, postmenstrual age (PMA) and serum creatinine were the significant covariates for CL. After model validation, simulations showed that a loading dose (25 mg/kg) and a maintenance dose (15 mg/kg q12h if <35 weeks PMA and 15 mg/kg q8h if ≥35 weeks PMA) achieved the AUC0–24 target earlier than a standard ‘Blue Book’ dosage regimen in >89% of the treated patients. Conclusions The results of a population meta-analysis of vancomycin data have been used to develop a new dosing regimen for neonatal use and to assist in the design of the model-based, multinational European trial, NeoVanc.

scholarly journals A Population Pharmacokinetic Analysis Shows that Arylacetamide Deacetylase (AADAC) Gene Polymorphism and HIV Infection Affect the Exposure of Rifapentine

2019 ◽  
Vol 63 (4) ◽  
Author(s):  
Jose Francis ◽  
Simbarashe P. Zvada ◽  
Paolo Denti ◽  
Mark Hatherill ◽  
Salome Charalambous ◽  
...  
Keyword(s):  
Food Intake ◽  
Hiv Infection ◽  
Pregnane X Receptor ◽  
Compartment Model ◽  
Population Pharmacokinetic Analysis ◽  
Volume Of Distribution ◽  
Fat Free Mass ◽  
Pharmacokinetic Analysis ◽  
Population Pharmacokinetic ◽  
Antituberculosis Treatment

ABSTRACT Rifapentine is a rifamycin used to treat tuberculosis. As is the case for rifampin, plasma exposures of rifapentine are associated with the treatment response. While concomitant food intake and HIV infection explain part of the pharmacokinetic variability associated with rifapentine, few studies have evaluated the contribution of genetic polymorphisms. We evaluated the effects of functionally significant polymorphisms of the genes encoding OATP1B1, the pregnane X receptor (PXR), constitutive androstane (CAR), and arylacetamide deacetylase (AADAC) on rifapentine exposure. Two studies evaluating novel regimens among southern African patients with drug-susceptible pulmonary tuberculosis were included in this analysis. In the RIFAQUIN study, rifapentine was administered in the continuation phase of antituberculosis treatment in 1,200-mg-once-weekly or 900-mg-twice-weekly doses. In the Daily RPE study, 450 or 600 mg was given daily during the intensive phase of treatment. Nonlinear mixed-effects modeling was used to describe the pharmacokinetics of rifapentine and to identify significant covariates. A total of 1,144 drug concentration measurements from 326 patients were included in the analysis. Pharmacogenetic information was available for 162 patients. A one-compartment model with first-order elimination and transit compartment absorption described the data well. In a typical patient (body weight, 56 kg; fat-free mass, 45 kg), the values of clearance and volume of distribution were 1.33 liters/h and 25 liters, respectively. Patients carrying the AA variant (65.4%) of AADAC rs1803155 were found to have a 10.4% lower clearance. HIV-infected patients had a 21.9% lower bioavailability. Once-weekly doses of 1,200 mg were associated with a reduced clearance (13.2%) compared to that achieved with more frequently administered doses. Bioavailability was 23.3% lower among patients participating in the Daily RPE study than in those participating in the RIFAQUIN study. This is the first study to report the effect of AADAC rs1803155AA on rifapentine clearance. The observed increase in exposure is modest and unlikely to be of clinical relevance. The difference in bioavailability between the two studies is probably related to the differences in food intake concomitant with the dose. HIV-coinfected patients had lower rifapentine exposures.

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