Population Pharmacokinetic Study of Cefathiamidine in Infants With Augmented Renal Clearance
Bin Du1, Yue Zhou1, Bo-Hao Tang1
1Department of Clinical Pharmacy, Key Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China.
Insights
This study developed optimal cefathiamidine dosing for infants with augmented renal clearance (ARC), ensuring effective antibiotic levels. Recommended regimens aim to improve clinical outcomes in this vulnerable pediatric population.
Area of Science:
- Pharmacology
- Pediatrics
- Infectious Diseases
Background:
- Augmented renal clearance (ARC) in infants can lead to subtherapeutic antibiotic levels, potentially worsening outcomes.
- Cefathiamidine is a common empirical antibiotic in children with ARC, but infant pharmacokinetic data are scarce.
Purpose of the Study:
- To develop a population pharmacokinetic model for cefathiamidine in infants with ARC.
- To establish optimal cefathiamidine dosing regimens for infants with ARC.
Main Methods:
- Population pharmacokinetics analysis in 20 infants treated with cefathiamidine.
- Plasma concentrations measured using UPLC-MS/MS.
- Nonlinear mixed-effects modeling (NONMEM) employed for data analysis.
Main Results:
- A one-compartment model best described cefathiamidine pharmacokinetics.
- Allometrically scaled weight and age were significant covariates.
- Recommended dosing regimens (e.g., 100 mg/kg/day q12h) were determined based on Monte Carlo simulations and target MICs.
Conclusions:
- A population pharmacokinetic model for cefathiamidine in infants with ARC was successfully developed.
- Probability of Target Attainment (PTA)-based dosing regimens are recommended for optimal therapeutic efficacy.
Abstract:
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.
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