cefathiamidine has been researched along with Haemophilus-Infections* in 1 studies
1 trial(s) available for cefathiamidine and Haemophilus-Infections
Article | Year |
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Population pharmacokinetics and dosing optimization of cefathiamidine in children with hematologic infection.
Cefathiamidine, a first-generation cephalosporin, has approval from the China Food and Drug Administration for the treatment of infections caused by susceptible bacteria in both adults and children. As pharmacokinetic data are limited in the pediatric population, we aimed to evaluate the population pharmacokinetics of cefathiamidine in children and to define the appropriate dose in order to optimize cefathiamidine treatment.. Blood samples were collected from children treated with cefathiamidine, and concentrations were quantified by high-performance liquid chromatography and tandem mass spectrometry. Population pharmacokinetic analysis was conducted using NONMEM software.. Fifty-four children (age range: 2.0-11.8 years) were included. Sparse pharmacokinetic samples (n=120) were available for analysis. A two-compartment model with first-order elimination showed the best fit with the data. A covariate analysis identified that bodyweight had a significant impact on cefathiamidine pharmacokinetics. Monte Carlo simulation demonstrated that the currently used dosing regimen of 100 mg/kg/day q12h was associated with a high risk of underdosing in pediatric patients. To reach the target 70% fT>MIC, a dose of 100 mg/kg/day cefathiamidine q6h is required for effective treatment against. A population pharmacokinetics model of cefathiamidine in children with hematologic disease was established. A dosing regimen of 100 mg/kg/day cefathiamidine q6h should be used in clinical practice against Topics: Anti-Bacterial Agents; Cephalosporins; Child; Child, Preschool; China; Chromatography, High Pressure Liquid; Dose-Response Relationship, Drug; Female; Haemophilus Infections; Haemophilus influenzae; Humans; Infusions, Intravenous; Male; Microbial Sensitivity Tests; Molecular Dynamics Simulation; Monte Carlo Method; Prospective Studies; Software; Structure-Activity Relationship; Tandem Mass Spectrometry | 2018 |