scholarly journals Pharmacokinetic/Pharmacodynamic Based Breakpoints of Polymyxin B for Bloodstream Infections Caused by Multidrug-Resistant Gram-Negative Pathogens

2022 ◽  
Vol 12 ◽  
Author(s):  
Xingchen Bian ◽  
Xiaofen Liu ◽  
Fupin Hu ◽  
Meiqing Feng ◽  
Yuancheng Chen ◽  
...  
Keyword(s):  
Bacterial Species ◽  
Bloodstream Infections ◽  
Polymyxin B ◽  
Multidrug Resistant ◽  
Chinese Patients ◽  
Pharmacokinetic Parameters ◽  
Population Pharmacokinetic ◽  
Pharmacokinetic Data ◽  
Dosing Regimens ◽  
Breakpoint Determination

The latest PK/PD findings have demonstrated negligible efficacy of intravenous polymyxins against pulmonary infections. We investigated pharmacokinetic/pharmacodynamic (PK/PD)-based breakpoints of polymyxin B for bloodstream infections and the rationality of the recent withdrawal of polymyxin susceptibility breakpoints by the CLSI. Polymyxin B pharmacokinetic data were obtained from a phase I clinical trial in healthy Chinese subjects and population pharmacokinetic parameters were employed to determine the exposure of polymyxin B at steady state. MICs of 1,431 recent clinical isolates of Pseudomonas aeruginosa, Acinetobacter baumannii and Klebsiella pneumoniae collected from across China were determined. Monte-Carlo simulations were performed for various dosing regimens (0.42–1.5 mg/kg/12 h via 1 or 2-h infusion). The probability of target attainment, PK/PD breakpoints and cumulative fraction of response were determined for each bacterial species. MIC90 of polymyxin B was 1 mg/L for P. aeruginosa and 0.5 mg/L for A. baumannii and K. pneumoniae. With the recommended polymyxin B dose of 1.5–2.5 mg/kg/day, the PK/PD susceptible breakpoints for P. aeruginosa, A. baumannii and K. pneumoniae were 2, 1 and 1 mg/L respectively for bloodstream infection. For Chinese patients, polymyxin B dosing regimens of 0.75–1.5 mg/kg/12 h for P. aeruginosa and 1–1.5 mg/kg/12 h for A. baumannii and K. pneumoniae were appropriate. Breakpoint determination should consider the antimicrobial PK/PD at infection site and delivery route. The recent withdrawal of polymyxin susceptible breakpoint by CLSI primarily based on poor efficacy against lung infections needs to be reconsidered for bloodstream infections.

scholarly journals New Colistin Population Pharmacokinetic Data in Critically Ill Patients Suggesting an Alternative Loading Dose Rationale

2014 ◽  
Vol 58 (12) ◽  
pp. 7324-7330 ◽  
Author(s):  
N. Grégoire ◽  
O. Mimoz ◽  
B. Mégarbane ◽  
E. Comets ◽  
D. Chatelier ◽  
...  
Keyword(s):  
Steady State ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Plasma Concentrations ◽  
Multidrug Resistant ◽  
Pharmacokinetic Analysis ◽  
Population Pharmacokinetic ◽  
Pharmacokinetic Data ◽  
Loading Dose ◽  
Liquid Chromatography Tandem Mass

ABSTRACTColistin is an old antibiotic that has recently gained a considerable renewal of interest as the last-line defense therapy against multidrug-resistant Gram-negative bacteria. It is administered as colistin methanesulfonate (CMS), an inactive prodrug, and it was shown that due to slow CMS conversion, colistin plasma concentrations increase very slowly after treatment initiation, which constitutes the rationale for a loading dose in critically ill patients. However, faster CMS conversion was observed in healthy volunteers but using a different CMS brand, which may also have a major impact on colistin pharmacokinetics. Seventy-three critically ill patients not undergoing dialysis received multiple doses of CMS. The CMS concentrations were measured by liquid chromatography-tandem mass spectrometry (LC-MS/MS), and a pharmacokinetic analysis was conducted using a population approach. We confirmed that CMS renal clearance and colistin concentrations at steady state are mostly governed by creatinine clearance, but we predict a typical maximum concentration of drug in serum (Cmax) of colistin close to 2 mg/liter, occurring 3 h after an initial dose of 2 million international units (MIU) of CMS. Accordingly, the estimated colistin half-life (t1/2) was relatively short (3.1 h), with rapid attainment of steady state. Our results are only partially consistent with other recently published results. We confirm that the CMS maintenance dose should be adjusted according to renal function in critically ill patients. However, much higher than expected colistin concentrations were observed after the initial CMS dose, with rapid steady-state achievement. These discrepancies challenge the pharmacokinetic rationale for a loading dose, which may still be appropriate for rapid bacterial eradication and an improved clinical cure rate.

scholarly journals Population Pharmacokinetic Study of Cefathiamidine in Infants With Augmented Renal Clearance

2021 ◽  
Vol 12 ◽  
Author(s):  
Bin Du ◽  
Yue Zhou ◽  
Bo-Hao Tang ◽  
Yue-E Wu ◽  
Xin-Mei Yang ◽  
...  
Keyword(s):  
Renal Clearance ◽  
Pharmacokinetic Study ◽  
Compartment Model ◽  
Volume Of Distribution ◽  
Pharmacokinetic Parameters ◽  
Population Pharmacokinetic ◽  
Pharmacokinetic Studies ◽  
Augmented Renal Clearance ◽  
Population Pharmacokinetic Study ◽  
Dosing Regimens

Objectives: Augmented renal clearance (ARC) of primarily renally eliminated antibacterial agents may result in subtherapeutic antibiotic concentrations and, as a consequence, worse clinical outcomes. Cefathiamidine is frequently used as empirical antimicrobial therapy in children with ARC, but pharmacokinetic studies in infants are lacking. This population pharmacokinetic study in infants with ARC was conducted to determine optimal dosing regimens of cefathiamidine.Methods: The population pharmacokinetics was conducted in 20 infants treated with cefathiamidine. Plasma samples of cefathiamidine were collected using opportunistic sampling, and the concentrations were detected by UPLC-MS/MS. Data analysis was performed to determine pharmacokinetic parameters and to characterize pharmacokinetic variability of cefathiamidine using nonlinear mixed effects modelling (NONMEM) software program.Results: The data (n = 36) from 20 infants (age range, 0.35–1.86 years) with ARC were fitted best with a 1-compartment model. Allometrically scaled weight and age as significant covariates influenced cefathiamidine pharmacokinetics. The median (range) values of estimated clearance and the volume of distribution were 0.22 (0.09–0.29) L/h/kg and 0.34 (0.24–0.41) L/kg, respectively. Monte Carlo simulations showed that the cefathiamidine doses of 100 mg/kg/day q12 h, 50 mg/kg/day q8 h and 75 mg/kg/day q6 h were chosen for bacteria with MIC 0.25, 0.5 and 2 mg/L, respectively.Conclusion: The population pharmacokinetic model of cefathiamidine for infants with ARC was developed. The PTA - based dosing regimens were recommended based on the final model.

scholarly journals Daptomycin Pharmacokinetics in Adolescents Undergoing Hemodialysis and Peritoneal Dialysis: A Case Series With Pharmacokinetic Modeling

2021 ◽  
Vol 26 (2) ◽  
pp. 123-132
Author(s):  
Sin Yin Lim ◽  
Teresa Lewis ◽  
Sukyung Woo ◽  
Martin Turman ◽  
David W. A. Bourne ◽  
...  
Keyword(s):  
Peritoneal Dialysis ◽  
Pharmacokinetic Model ◽  
Obese Subject ◽  
Case Series ◽  
Pharmacokinetic Parameters ◽  
Population Pharmacokinetic ◽  
Old Patients ◽  
Concentration Time ◽  
Increased Risk ◽  
Dosing Regimens

BACKGROUND Children who undergo hemodialysis (HD) and peritoneal dialysis are at increased risk of infection. Daptomcyin is used to treat resistant infections; however, the pharmacokinetics of daptomycin in pediatric and adolescent dialysis patients remain unknown. METHODS We report the safety and pharmacokinetics of a single intravenous 5 mg/kg dose of daptomycin for 6 individuals age 12 to 17 years old who underwent HD or continuous cycling peritoneal dialysis (CCPD). Daptomycin concentrations from all samples were determined by high-performance liquid chromatography. A non-compartmental analysis was performed to compare the pharmacokinetic parameters among HD and CCPD patients. A population pharmacokinetic model was developed to describe the concentration-time profiles of daptomycin in plasma, urine, and dialysis effluent. Monte Carlo simulations were performed to assess the pharmacodynamic outcomes. RESULTS All subjects tolerated the single dose of daptomycin. During HD, significant drug removal was observed, compared with CCPD (26% vs 5% of total dose). A low daptomycin renal clearance (<12% of total clearance) with moderate variability (40.5%) was observed among subjects with residual renal function. An anuric and obese subject who received CCPD treatment appeared to have >80% higher daptomycin area under the plasma concentration-time curve than the other CCPD subjects. Dosing regimens that achieved predefined pharmacodynamic targets were reported. CONCLUSIONS Daptomycin clearance was faster in 12- to 17-year-old patients receiving HD than CCPD. Administration of daptomycin immediately after HD reduces drug loss. The CCPD treatment, anuria, and obesity may increase the risk for drug accumulation. Our pharmacokinetic model can be further used to optimize dosing regimens of daptomycin in this population.

scholarly journals Influence of the OATP Polymorphism on the Population Pharmacokinetics of Methotrexate in Chinese Patients

2019 ◽  
Vol 20 (7) ◽  
pp. 592-600 ◽  
Author(s):  
Zhiqi Wang ◽  
Nan Zhang ◽  
Chaoyang Chen ◽  
Shuqing Chen ◽  
Junyu Xu ◽  
...  
Keyword(s):  
Pharmacokinetic Model ◽  
Genetic Factors ◽  
Plasma Concentrations ◽  
Chinese Patients ◽  
Estimation Methods ◽  
Pharmacokinetic Analysis ◽  
Pharmacokinetic Parameters ◽  
Population Pharmacokinetic ◽  
Mixed Effect ◽  
The Impact

Background: The Pharmacokinetics of Methotrexate (MTX) has been reported to show significant intersubject variability. MTX is metabolized by SHMT1 and transported by OATP1B1 and OATP1B3 both of which show genetic polymorphisms. The non-genetic and genetic factors may influence the pharmacokinetics of MTX. Objective: This study aimed to determine the pharmacokinetic parameters of MTX in Chinese patients and to investigate the effect of various non-genetic factors and genetic variants of OATP1B1, OATP1B3 on MTX’s pharmacokinetics. Method: MTX concentration and clinical characteristics data were collected from 71 rheumatoid arthritis patients. For each patient, SLC19A1, SHMT1, OATP1B1, and OATP1B3 genotyping were tested. Population pharmacokinetic analysis was performed by Nonlinear Mixed-Effect Modeling (NONMEM). MTX pharmacokinetic properties analysis was executed using the one-compartment pharmacokinetic model which incorporated first-order conditional estimation methods with interaction. Besides, the impact of genetic factors and demographic factors on MTX disposition were explored. Results: All the genotypes of steady-state plasma concentrations and OATP1B1 rs4149056, OATP1B1 rs2306283, and OATP1B3 rs7311358 were determined. The detected blood drug concentration reached the standard. Genotypes were all measured. At the same time, the population pharmacokinetic model of methotrexate was obtained CL(L·h-1) =8.25× e0.167× SNP (SNP: SLCO1B1 388A/A=3; SLCO1B1 388A/G=2; SLCO1B1 388G/G=1); V(L)= 32.8; Ka(h- 1)=1.69. Conclusion: : In our study, it was showed that OATP1B1-388 G>A SNP had a significant effect on CL/F. The factor should be considered when determining MTX dosing. However, prospective studies with a large number of participants are needed to validate the results of this study.

scholarly journals Impact of gender, albumin, and CYP2C19 polymorphisms on valproic acid in Chinese patients: a population pharmacokinetic model

2020 ◽  
Vol 48 (8) ◽  
pp. 030006052095228
Author(s):  
Jinlin Guo ◽  
Yayu Huo ◽  
Fang Li ◽  
Yuanping Li ◽  
Zhaojun Guo ◽  
...  
Keyword(s):  
Valproic Acid ◽  
Population Pharmacokinetic Model ◽  
Pharmacokinetic Model ◽  
Volume Of Distribution ◽  
Chinese Patients ◽  
Population Pharmacokinetic ◽  
Pharmacokinetic Data ◽  
Mixed Effect ◽  
First Order ◽  
The Impact

Objective This prospective study aimed to establish the valproic acid (VPA) population pharmacokinetic model in Chinese patients and realise personalised medication on the basis of population pharmacokinetics. Methods The patients’ clinical information and VPA plasma concentrations were collected from The General Hospital of Taiyuan Iron & Steel (Group) Corporation (TISCO). Nonlinear mixed-effect modelling was used to build the population pharmacokinetic model. To characterise the pharmacokinetic data, a one-compartment pharmacokinetic model with first-order absorption and elimination was used. The first-order conditional estimation with η-ε interaction was applied throughout the model-developing procedure. The absorption rate constant (Ka) was fixed at 2.38 hour−1, and the impact of covariates on clearance and apparent volume of distribution were also explored. Medical records of 60 inpatients were reviewed prospectively and the objective function value (OFV) of the base model and final model were 851.813 and 817.622, respectively. Results Gender was identified as the covariate that had a significant impact on the volume of distribution, and albumin and CYP2C19 genotypes influenced clearance. Conclusion Bootstrap and VPC indicated that a reliable model had been developed that was based on the simulation results, and a simple-to-use dosage regimen table was created to guide clinicians for VPA drug dosing.

scholarly journals Clofazimine pharmacokinetics in patients with TB: dosing implications

2020 ◽  
Vol 75 (11) ◽  
pp. 3269-3277 ◽  
Author(s):  
Mahmoud Tareq Abdelwahab ◽  
Sean Wasserman ◽  
James C M Brust ◽  
Neel R Gandhi ◽  
Graeme Meintjes ◽  
...  
Keyword(s):  
Body Fat ◽  
Plasma Concentrations ◽  
Compartment Model ◽  
Pharmacokinetic Parameters ◽  
Pharmacokinetic Data ◽  
Drug Resistant ◽  
Elimination Half ◽  
Dosing Regimens ◽  
Dosing Strategies ◽  
Fat Fraction

Abstract Background Clofazimine is in widespread use as a key component of drug-resistant TB regimens, but the recommended dose is not evidence based. Pharmacokinetic data from relevant patient populations are needed to inform dose optimization. Objectives To determine clofazimine exposure, evaluate covariate effects on variability, and simulate exposures for different dosing strategies in South African TB patients. Patients and methods Clinical and pharmacokinetic data were obtained from participants with pulmonary TB enrolled in two studies with intensive and sparse sampling for up to 6 months. Plasma concentrations were measured by LC-MS/MS and interpreted with non-linear mixed-effects modelling. Body size descriptors and other potential covariates were tested on pharmacokinetic parameters. We simulated different dosing regimens to safely shorten time to average daily concentration above a putative target concentration of 0.25 mg/L. Results We analysed 1570 clofazimine concentrations from 139 participants; 79 (57%) had drug-resistant TB and 54 (39%) were HIV infected. Clofazimine pharmacokinetics were well characterized by a three-compartment model. Clearance was 11.5 L/h and peripheral volume 10 500 L for a typical participant. Lower plasma exposures were observed in women during the first few months of treatment, explained by higher body fat fraction. Model-based simulations estimated that a loading dose of 200 mg daily for 2 weeks would achieve average daily concentrations above a target efficacy concentration 37 days earlier in a typical TB participant. Conclusions Clofazimine was widely distributed with a long elimination half-life. Disposition was strongly influenced by body fat content, with potential dosing implications for women with TB.

scholarly journals Profiling of bacterial bloodstream infections in hematological and oncological patients based on a comparative survival analysis

2021 ◽  
Author(s):  
Sarah Weber ◽  
Aaron Magh ◽  
Michael Hogardt ◽  
Volkhard A. J. Kempf ◽  
Maria J. G. T. Vehreschild ◽  
...  
Keyword(s):  
Bacterial Species ◽  
Carbapenem Resistance ◽  
Bloodstream Infections ◽  
Multivariate Regression Analysis ◽  
Multidrug Resistant ◽  
Oncological Patients ◽  
Common Skin ◽  
Oncological Diseases ◽  
Independent Risk Factors ◽  
The Impact

AbstractBloodstream infections (BSI) are a frequent complication in patients with hematological and oncological diseases. However, the impact of different bacterial species causing BSI and of multiple BSI remains incompletely understood. We performed a retrospective study profiling 637 bacterial BSI episodes in hematological and oncological patients. Based on the 30-day (30d) overall survival (OS), we analyzed different types of multiple BSI and grouped BSI-associated bacteria into clusters followed by further assessment of clinical and infection-related characteristics. We discovered that polymicrobial BSI (different organisms on the first day of a BSI episode) and sequential BSI (another BSI before the respective BSI episode) were associated with a worse 30d OS. Different bacterial groups could be classified into three BSI outcome clusters based on 30d OS: favorable (FAV) including mainly common skin contaminants, Escherichia spp. and Streptococcus spp.; intermediate (INT) including mainly Enterococcus spp., vancomycin-resistant Enterococcus spp., and multidrug-resistant gram-negative bacteria (MDRGN); and adverse (ADV) including MDRGN with an additional carbapenem-resistance (MDRGN+CR). A polymicrobial or sequential BSI especially influenced the outcome in the combination of two INT cluster BSI. The presence of a polymicrobial BSI and the assignment into the BSI outcome clusters were identified as independent risk factors for 30d mortality in a Cox multivariate regression analysis. The assignment to a BSI outcome cluster and the differentiated perspective of multiple BSI open new insights into the prognosis of patients with BSI and should be further validated in other patient cohorts.

scholarly journals Pharmacokinetics and Drug-Drug Interactions of Lopinavir-Ritonavir Administered with First- and Second-Line Antituberculosis Drugs in HIV-Infected Children Treated for Multidrug-Resistant Tuberculosis

2017 ◽  
Vol 62 (2) ◽  
Author(s):  
Louvina E. van der Laan ◽  
Anthony J. Garcia-Prats ◽  
H. Simon Schaaf ◽  
Tjokosela Tikiso ◽  
Lubbe Wiesner ◽  
...  
Keyword(s):  
Drug Interactions ◽  
Multidrug Resistant ◽  
Inhibitory Effect ◽  
Pharmacokinetic Parameters ◽  
Population Pharmacokinetic ◽  
High Dose ◽  
Large Variability ◽  
Tb Treatment ◽  
Resistant Tuberculosis ◽  
Mdr Tb

ABSTRACT Lopinavir-ritonavir forms the backbone of current first-line antiretroviral regimens in young HIV-infected children. As multidrug-resistant (MDR) tuberculosis (TB) frequently occurs in young children in high-burden TB settings, it is important to identify potential interactions between MDR-TB treatment and lopinavir-ritonavir. We describe the pharmacokinetics of and potential drug-drug interactions between lopinavir-ritonavir and drugs routinely used for MDR-TB treatment in HIV-infected children. A combined population pharmacokinetic model was developed to jointly describe the pharmacokinetics of lopinavir and ritonavir in 32 HIV-infected children (16 with MDR-TB receiving treatment with combinations of high-dose isoniazid, pyrazinamide, ethambutol, ethionamide, terizidone, a fluoroquinolone, and amikacin and 16 without TB) who were established on a lopinavir-ritonavir-containing antiretroviral regimen. One-compartment models with first-order absorption and elimination for both lopinavir and ritonavir were combined into an integrated model. The dynamic inhibitory effect of the ritonavir concentration on lopinavir clearance was described using a maximum inhibition model. Even after adjustment for the effect of body weight with allometric scaling, a large variability in lopinavir and ritonavir exposure, together with strong correlations between the pharmacokinetic parameters of lopinavir and ritonavir, was detected. MDR-TB treatment did not have a significant effect on the bioavailability, clearance, or absorption rate constants of lopinavir or ritonavir. Most children (81% of children with MDR-TB, 88% of controls) achieved therapeutic lopinavir trough concentrations (>1 mg/liter). The coadministration of lopinavir-ritonavir with drugs routinely used for the treatment of MDR-TB was found to have no significant effect on the key pharmacokinetic parameters of lopinavir or ritonavir. These findings should be considered in the context of the large interpatient variability found in the present study and the study's modest sample size.

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