A gentamicin pharmacokinetic population model and once-daily dosing algorithm for neonates

Area of Science:

• Pharmacokinetics and Pharmacodynamics
• Neonatal Medicine
• Antibiotic Dosing

Background:

• Gentamicin is a critical antibiotic for neonatal infections.
• Optimizing gentamicin dosing in neonates is challenging due to variable pharmacokinetics.
• Accurate dosing is essential to maximize efficacy and minimize toxicity.

Purpose of the Study:

• To develop a pharmacokinetic population model for gentamicin in neonates younger than 10 days.
• To create a once-daily dosing algorithm for gentamicin in this population.

Main Methods:

• Prospective, open-label study conducted in a neonatal intensive care unit.
• Collected gentamicin peak and trough serum concentrations from 139 neonates.
• Developed a population pharmacokinetic model using ADAPT II software with a MAP Bayesian approach.

Main Results:

• A one-compartmental linear model was established with median gentamicin clearance of 0.0709 L/hr and half-life of 8.59 hours.
• Clearance was significantly associated with gestational age and birth weight (r² = 0.897).
• Volume of distribution correlated with birth weight (r² = 0.700).
• A novel dosing algorithm was derived to achieve a target 24-hour area under the curve.

Conclusions:

• The developed gentamicin dosing algorithm offers a new method for initial dosing regimens in neonates.
• Clinical validation of this algorithm is necessary to confirm its efficacy and safety.
• This approach aims to improve gentamicin therapeutic outcomes in the neonatal population.