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Published on: December 20, 2024
Population Pharmacokinetics and Individualized Medication of Azithromycin for Injection in Children Under 6 Years Old
Yuwen Zhang1, Yinghui Wang2, Jiangshuo Li3
1Department of Pharmacy, Beijing Friendship Hospital, Capital Medical University, 100050, Beijing China.
Insights
Limited pharmacokinetic data for injectable azithromycin in children is now available. A new population pharmacokinetic model and optimized dosing regimen were developed for children under six, improving individualized therapy.
Area of Science:
- Pharmacology
- Pediatric Medicine
- Drug Development
Background:
- Pharmacokinetic data for injectable azithromycin in pediatric populations are scarce.
- Accurate dosing is crucial for effective treatment and minimizing adverse effects in children.
Purpose of the Study:
- To develop and validate a population pharmacokinetic (PPK) model for injectable azithromycin in children under six years old.
- To optimize the azithromycin dosage regimen for this specific pediatric population.
Main Methods:
- Prospective enrollment of pediatric patients (<6 years) receiving injectable azithromycin.
- Collection of demographic, clinical data, and plasma samples for azithromycin concentration analysis via UPLC-MS/MS.
- Population pharmacokinetic modeling using Phoenix NLME, validated with VPC and bootstrap analysis. Dosing regimen optimization via Monte Carlo simulations.
Main Results:
- A robust PPK model was established using 254 plasma concentration data points from 148 pediatric patients.
- Key pharmacokinetic parameters identified: clearance (1.27 L/h/kg) and volume of distribution (45.6 L/kg).
- Weight and age were identified as significant covariates influencing azithromycin pharmacokinetics. A practical, optimized dosing scheme was derived.
Conclusions:
- The developed population pharmacokinetic model for injectable azithromycin is reliable and robust for children under six.
- The optimized dosing regimen provides a basis for individualized azithromycin therapy in this population.
- This study enhances clinical decision-making and supports personalized treatment strategies for pediatric patients.
Abstract:
Pharmacokinetic data for injectable azithromycin in children remain limited. This study aims to develop and validate a population pharmacokinetic model of azithromycin for injection in children under 6 years old and optimize its dosage regimen in this population. We prospectively enrolled patients under 6 years old who received azithromycin for injection at Beijing Friendship Hospital, Capital Medical University. Demographic information, clinical characteristics, and venous blood samples were collected in accordance with the research protocol. Azithromycin concentrations were determined using a validated UPLC-MS/MS method. The population pharmacokinetic model was structured using Phoenix NLME. The adequacy and robustness of the model was evaluated using VPC and bootstrap. We optimized azithromycin's dosing regimen for injection through Monte Carlo simulations. We included 254 plasma concentration data from 148 patients to establish the model. The clearance and volume were 1.27 L/h/kg and 45.6 L/kg, respectively. The covariates included were weight and age. VPC plots and nonparametric bootstrap showed that the final PPK model was reliable and robust. Based on Monte Carlo simulation, we derived a simple and practical dosing scheme. The results provided reference for individualized dosing in this population. The individualized dosing scheme based on Monte Carlo simulation can optimize clinical decision-making and guide personalized therapy.
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