scholarly journals 1540. A Population Pharmacokinetic Model for Vancomycin in Korean Patients Receiving Extracorporeal Membrane Oxygenation Therapy: A Prospective Study

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S562-S562
Author(s):  
Younghee Jung ◽  
Dong-Hwan Lee ◽  
Hyoung Soo Kim

Abstract Background There is no literature on population pharmacokinetics (PK) of vancomycin in Korean patients receiving extracorporeal membrane oxygenation (ECMO) therapy. The aim of this study was to develop a population PK model for vancomycin in Korean ECMO patients. Methods We prospectively enrolled adult patients who were undergoing ECMO and receiving vancomycin from July 2018 to April 2019. After initial dose of vancomycin was administrated, serial blood samples (seven to nine times per patient) were drawn before the next dose. A population PK model for vancomycin was developed using a nonlinear mixed-effect modeling. Age, sex, creatinine clearance, and body weight were tested as potential covariates in the model. Model selection was based on log-likelihood test, model diagnostic plots, and clinical plausibility. Results Fourteen patients were included over the period. Ten received venovenous, three venoarterial, and one both type ECMO. Eleven were men and the median age was 54 (interquartile range 45–66.3). Mean estimated glomerular filtration rate (eGFR) was 69 ± 46 mL/minute/1.73m2 by the modification of diet in renal disease equation. A total of 123 vancomycin concentrations from the patients were included in the analysis. The population PK of vancomycin was best described by a two-compartment model with a proportional residual error model. The typical value (%between-subject variability) for total clearance was estimated to be 4.33 L/h (21.6%), central volume of distribution was 9.22 L, the intercompartmental clearance was 10.75 L/hr (34.9%) and the peripheral volume of distribution was 19.6 L (26.6%). The proportional residual variability was 8.81%. Creatinine clearance significantly influenced vancomycin clearance (CL). The proposed equation to estimate vancomycin clearance in Korean ECMO patients was CL = 4.33 + 0.199 × (eGFR – 56). Conclusion A two-compartment population PK model successfully describes vancomycin PK profiles in Korean ECMO patients. The model could be used to optimize the dosing regimen if more data become available from currently ongoing clinical study. Disclosures All authors: No reported disclosures.

2015 ◽  
Vol 59 (7) ◽  
pp. 3935-3943 ◽  
Author(s):  
Kevin M. Watt ◽  
Daniel Gonzalez ◽  
Daniel K. Benjamin ◽  
Kim L. R. Brouwer ◽  
Kelly C. Wade ◽  
...  

ABSTRACTCandidainfections are a leading cause of infectious disease-related death in children supported by extracorporeal membrane oxygenation (ECMO). The ECMO circuit can alter drug pharmacokinetics (PK); thus, standard fluconazole dosing may result in suboptimal drug exposures. The objective of our study was to determine the PK of fluconazole in children on ECMO. Forty children with 367 PK samples were included in the analysis. The PK data were analyzed using nonlinear mixed-effect modeling (NONMEM). A one-compartment model best described the data. Weight was included in the base model for clearance (CL) and volume of distribution (V). The final model included the effect of serum creatinine (SCR) level on CL and the effect of ECMO onVas follows: CL (in liters per hour) = 0.019 × weight × (SCR/0.4)−0.29× exp(ηCL) andV(in liters) = 0.93 × weight × 1.4ECMO× exp(ηV). The fluconazoleVwas increased in children supported by ECMO. Consequently, children on ECMO require a higher fluconazole loading dose for prophylaxis (12 mg/kg of body weight) and treatment (35 mg/kg) paired with standard maintenance doses to achieve exposures similar to those of children not on ECMO.


2020 ◽  
Vol 64 (11) ◽  
Author(s):  
Qianlin Wang ◽  
Zhu Zhang ◽  
Donglin Liu ◽  
Wenqian Chen ◽  
Gang Cui ◽  
...  

ABSTRACT Little is known about the influence of extracorporeal membrane oxygenation (ECMO) on the pharmacokinetics (PK) of caspofungin. The aim of this study was to describe population PK of caspofungin in patients with and without ECMO during the postoperative period of lung transplantation (LTx) and to investigate covariates influencing caspofungin PK. We compared ECMO patients with non-ECMO patients, and patients before and after ECMO weaning as self-controls, to analyzed changes in caspofungin PK. Eight serial blood samples were collected from each patient for PK analysis. The population PK of caspofungin was described using nonlinear mixed-effects modeling. Twelve ECMO and 7 non-ECMO lung transplant recipients were enrolled in this study. None of the patients received renal replacement therapy during any part of the study period. The PK of caspofungin was best described by a two-compartment model. There were no significant differences in the PK parameters and concentrations of caspofungin among the ECMO, non-ECMO, and self-control group. In the final covariate model, we found that there was a significant association between the male gender and increased distribution volume, that a higher sequential organ failure assessment score was related to an increase in intercompartmental clearance, and that a longer operative time was related to an increase in clearance and the volume of distribution. ECMO did not have a significant impact on the PK of caspofungin in patients after LTx. Some factors were identified as statistically significant covariates related to the PK of caspofungin; however, their impact on clinical practice of caspofungin needs to be investigated further in more studies. (This study has been registered at ClinicalTrials.gov under identifier NCT03766282.)


2008 ◽  
Vol 52 (11) ◽  
pp. 4043-4049 ◽  
Author(s):  
K. C. Wade ◽  
D. Wu ◽  
D. A. Kaufman ◽  
R. M. Ward ◽  
D. K. Benjamin ◽  
...  

ABSTRACT Fluconazole is being increasingly used to prevent and treat invasive candidiasis in neonates, yet dosing is largely empirical due to the lack of adequate pharmacokinetic (PK) data. We performed a multicenter population PK study of fluconazole in 23- to 40-week-gestation infants less than 120 days of age. We developed a population PK model using nonlinear mixed effect modeling (NONMEM) with the NONMEM algorithm. Covariate effects were predefined and evaluated based on estimation precision and clinical significance. We studied fluconazole PK in 55 infants who at enrollment had a median (range) weight of 1.02 (0.440 to 7.125) kg, a gestational age at birth (BGA) of 26 (23 to 40) weeks, and a postnatal age (PNA) of 2.3 (0.14 to 12.6) weeks. The final data set contained 357 samples; 217/357 (61%) were collected prospectively at prespecified time intervals, and 140/357 (39%) were scavenged from discarded clinical specimens. Fluconazole population PK was best described by a one-compartment model with covariates normalized to median values. The population mean clearance (CL) can be derived for this population by the equation CL (liter/h) equals 0.015 · (weight/1)0.75 · (BGA/26)1.739 · (PNA/2)0.237 · serum creatinine (SCRT)−4.896 (when SCRT is >1.0 mg/dl), and using a volume of distribution (V) (liter) of 1.024 · (weight/1). The relative standard error around the fixed effects point estimates ranged from 3 to 24%. CL doubles between birth and 28 days of age from 0.008 to 0.016 and from 0.010 to 0.022 liter/kg/h for typical 24- and 32-week-gestation infants, respectively. This population PK model of fluconazole discriminated the impact of BGA, PNA, and creatinine on drug CL. Our data suggest that dosing in young infants will require adjustment for BGA and PNA to achieve targeted systemic drug exposures.


2017 ◽  
Vol 61 (9) ◽  
Author(s):  
Jin Wi ◽  
Hayeon Noh ◽  
Kyoung Lok Min ◽  
Seungwon Yang ◽  
Byung Hak Jin ◽  
...  

ABSTRACT The pharmacokinetics (PK) of drugs are known to be significantly altered in patients receiving extracorporeal membrane oxygenation (ECMO). However, clinical studies of the PK of drugs administered during ECMO are scarce, and the proper dosing adjustment has yet to be established. We developed a population PK model for teicoplanin, investigated covariates influencing teicoplanin exposure, and suggested an optimal dosing regimen for ECMO patients. Samples for PK analysis were collected from 10 adult patients, and a population PK analysis and simulations were performed to identify an optimal teicoplanin dose needed to provide a >50% probability of target attainment at 72 h using a trough concentration target of >10 μg/ml for mild to moderate infections and a trough concentration target of >15 μg/ml for severe infections. Teicoplanin was well described by a two-compartment PK model with first-order elimination. The presence of ECMO was associated with a lower central volume of distribution, and continuous renal replacement therapy (CRRT) was associated with a higher peripheral volume of distribution. For mild to moderate infections, an optimal dose was a loading dose (LD) of 600 mg and a maintenance dose (MD) of 400 mg for ECMO patients not receiving CRRT and an LD of 800 mg and an MD of 600 mg for those receiving CRRT. For severe infections, an optimal dose was an LD of 1,000 mg and an MD of 800 mg for ECMO patients not receiving CRRT and an LD of 1,200 mg and an MD of 1,000 mg for those receiving CRRT. In conclusion, doses higher than the standard doses are needed to achieve fast and appropriate teicoplanin exposure during ECMO. (This study has been registered at ClinicalTrials.gov under identifier NCT02581280.)


2021 ◽  
Author(s):  
Jongsung Hahn ◽  
Kyoung Lok Min ◽  
Soyoung Kang ◽  
Seungwon Yang ◽  
Byung Hak Jin ◽  
...  

Abstract Background: Piperacillin/tazobactam is commonly used for empirical or directed treatment of infections during extracorporeal membrane oxygenation therapy (ECMO). Critical illness and extracorporeal circulation, such as ECMO and continuous renal replacement therapy may alter the pharmacokinetic parameters. We aimed to develop a population pharmacokinetic model of piperacillin/tazobactam in ECMO patients and investigate the optimal dosage regimen to achieve a pharmacodynamics target.Methods: This was a prospective observational study of 26 ECMO patients who received piperacillin/tazobactam. A population PK model was developed using non-linear mixed-effects models and simulations were performed to evaluate patient variables, MIC levels, and dosage regimens in relation to the probability of target attainment (PTA). The acceptable piperacillin PTA was set at ≥90% for 50%ƒT >16 mg/L.Results: A total of 244 samples were collected (163 during ECMO and 81 weaned from ECMO). Thirteen patients (50%) underwent continuous venovenous hemodiafiltration (CVVHDF). In a 2-compartment model, clearance increased by 10.1% when patients weaned from ECMO. Because patients on CVVHDF had a significant residual renal function, CVVHDF was found non-relevant to clearance. Instead, volume overload which was main cause of CVVHDF and membrane adsorption might contribute to the increased volume of distribution. Creatinine clearance (CrCL) calculated by Cockcroft-Gault equation had a significant impact on clearance. Simulation demonstrated that extended infusion should be considered in ECMO patients with CrCL >60 mL/min. Our proposed regimen was extended infusion of 2/0.25 g q8h, 2/0.25 g 6h, 3/0.375 g q 6h, and 4/0.5g q6h for CrCL ≤40, 40–60, 60–130, and >130 mL/min, respectively. Furthermore, even a higher dose would be required when patients did not receive CVVHDF after weaning from ECMO, which was 4/0.5g q6h for CrCL >110 mL/minConclusions: Piperacillin/tazobactam PK changes observed in ECMO patients were associated with critical illness rather than ECMO itself. A recent guideline dose may result in underexposure against P.aeruginosa when ECMO patients have CrCL > 110 mL/min; therefore, close monitoring of renal clearance is crucial in ECMO patients who received piperacillin/tazobactam regardless of CVVHDF use to provide effective treatment of infections and promote recovery. Overall, this study provides preliminary insights into the incremental effects of critical illness, ECMO and CVVHDF on piperacillin/tazobactam PK.Trial Registration: Clinicaltrials.gov NCT02581280, December 1st, 2014.


Pharmaceutics ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 224 ◽  
Author(s):  
Soo Hyeon Bae ◽  
Dong-Seok Yim ◽  
Hyemi Lee ◽  
Ae-Ryoung Park ◽  
Ji-Eun Kwon ◽  
...  

The population pharmacokinetic (PK) parameters that are implemented in therapeutic drug management (TDM) software were generally obtained from a Western population and might not be adequate for PK prediction with a Korean population. This study aimed to develop a population PK model for vancomycin using Korean data to improve the quality of TDM for Korean patients. A total of 220 patients (1020 observations) who received vancomycin TDM services were included in the dataset. A population PK analysis was performed using non-linear mixed effects modeling, and a covariate evaluation was conducted. A two-compartment model with first-order elimination best explained the vancomycin PK, with estimates of 2.82 L/h, 31.8 L, 11.7 L/h, and 75.4 L for CL, V1, Q, and V2, respectively. In the covariate analysis, weight correlated with the volume of the peripheral compartment, and creatinine clearance, hemodialysis, and continuous renal replacement therapy treatments contributed to the clearance of vancomycin. The results show the clear need to optimize the PK parameters used for TDM in Korean patients. Specifically, V1 should be smaller for Korean patients, and renal replacement therapies should be considered in TDM practice. This final model was successfully applied in R shiny as open-source software for Koreans.


Author(s):  
Younghee Jung ◽  
Dong-Hwan Lee ◽  
Hyoung Soo Kim

The aim of this study was to develop a population pharmacokinetics (PK) model for vancomycin and to evaluate its pharmacodynamic target attainment in adults on extracorporeal membrane oxygenation (ECMO). After a single 1,000 mg dose of vancomycin, samples were collected 9 times per patient prospectively. A population PK model was developed using a nonlinear mixed effect model. The probability of target attainment (PTA) of vancomycin was evaluated for various dosing strategies using Monte Carlo simulation. The ratio of the area under the vancomycin concentration-time curve at steady-state over 24 h to the minimum inhibitory concentration (AUC/MIC) was investigated by applying the vancomycin break point distribution of MICs for methicillin-resistant Staphylococcus aureus. A total of 22 adult patients with 194 concentration measurements were included. The population PK was best described by a three-compartment model with a proportional residual error model. Vancomycin clearance and steady state volume of distribution were 0.0542 L/h/kg (4.01 L/h) and 29.6 L (0.400 L/kg), respectively. If the treatment target was only AUC/MIC ≥400, a total daily dose of 3 to 4 g would be optimal (PTA ≥90%) for patients with normal renal function (estimated glomerular filtration rate [eGFR] = 60–120 mL/min/1.73 m2) when MIC was presumed to be 1 mg/L. However, AUC/MIC 400 to 600 was difficult to attain with any dosing strategy regardless of MIC and eGFR. Thus, it is hard to achieve efficacy and safety targets in patients on ECMO using the population dosing approach with Monte Carol simulations, and therapeutic drug monitoring should be implemented in these patients.


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.)


2021 ◽  
Vol 12 ◽  
Author(s):  
Jae Ha Lee ◽  
Dong-Hwan Lee ◽  
Jin Soo Kim ◽  
Won-Beom Jung ◽  
Woon Heo ◽  
...  

Objectives: There have been few clinical studies of ECMO-related alterations of the PK of meropenem and conflicting results were reported. This study investigated the pharmacokinetics (PK) of meropenem in critically ill adult patients receiving extracorporeal membrane oxygenation (ECMO) and used Monte Carlo simulations to determine appropriate dosage regimens.Methods: After a single 0.5 or 1 g dose of meropenem, 7 blood samples were drawn. A population PK model was developed using nonlinear mixed-effects modeling. The probability of target attainment was evaluated using Monte Carlo simulation. The following treatment targets were evaluated: the cumulative percentage of time during which the free drug concentration exceeds the minimum inhibitory concentration of at least 40% (40% fT>MIC), 100% fT>MIC, and 100% fT>4xMIC.Results: Meropenem PK were adequately described by a two-compartment model, in which creatinine clearance and ECMO flow rate were significant covariates of total clearance and central volume of distribution, respectively. The Monte Carlo simulation predicted appropriate meropenem dosage regimens. For a patient with a creatinine clearance of 50–130 ml/min, standard regimen of 1 g q8h by i. v. infusion over 0.5 h was optimal when a MIC was 4 mg/L and a target was 40% fT>MIC. However, the standard regimen did not attain more aggressive target of 100% fT>MIC or 100% fT>4xMIC.Conclusion: The population PK model of meropenem for patients on ECMO was successfully developed with a two-compartment model. ECMO patients exhibit similar PK with patients without ECMO. If more aggressive targets than 40% fT>MIC are adopted, dose increase may be needed.


1998 ◽  
Vol 42 (4) ◽  
pp. 849-856 ◽  
Author(s):  
Michel Tod ◽  
Olivier Lortholary ◽  
Delphine Seytre ◽  
Rémi Semaoun ◽  
Bernard Uzzan ◽  
...  

ABSTRACT Once-daily (o.d.) administration of 20 mg of amikacin per kg of body weight to neutropenic patients has been validated by clinical studies, but amikacin pharmacokinetics have been documented only for the 7.5-mg/kg twice-daily (b.i.d.) regimen in this population. In order to determine in neutropenic patients (i) the influence of the dosing regimen on the kinetics of amikacin, (ii) the linearity of kinetics of amikacin in the range of 7.5 to 20 mg/kg, and (iii) the influence of patient characteristics on the disposition of amikacin and (iv) to provide a rationale for dosing recommendations, we evaluated the population pharmacokinetics of amikacin administered to 57 febrile neutropenic adults (neutrophil count, <500/mm3) being treated for a hematological disorder and receiving amikacin at 7.5 mg/kg b.i.d. (n = 29) or 20 mg/kg o.d. (n = 28) and administered intravenously over 0.5 h. A total of 278 blood samples were obtained (1 to 14 samples per patient) during one or several administration intervals (1 to 47). Serum amikacin levels were measured by the enzyme-multiplied immunoassay technique. A mixed-effect modeling approach was used to fit a bicompartmental model to the data (NONMEM software). The influences of the dosing regimen and the demographic and biological indices on the pharmacokinetic parameters of amikacin were evaluated by the maximum-likelihood ratio test on the population model. The dosing regimen had no influence on amikacin pharmacokinetic parameters, i.e., the kinetics of amikacin were linear over the range of 7.5 to 20 mg/kg. Amikacin elimination clearance (CL) was only correlated with creatinine clearance or its covariates, namely, sex, age, body weight, and serum creatinine level. The interindividual variability of CL was 21%, while those of the central volume of distribution, the distribution clearance, and the tissue volume of distribution were 15, 30, and 25%, respectively. On the basis of the expected distribution of amikacin concentrations in this population, dosing recommendations as a function of creatinine clearance (CLCR) are proposed: for patients with normal renal function (CLCR of 80 to 130 ml/min), 20 mg/kg o.d. is recommended, whereas for patients with severe renal impairment (CLCR, 10 to 20 ml/min), a dosage of 17 mg/kg every 48 h is recommended.


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