Optimizing gentamicin conventional and extended interval dosing in neonates using Monte Carlo simulation - a...

Area of Science:

• Neonatal pharmacology
• Antibiotic pharmacokinetics
• Pediatric pharmacotherapy

Background:

• Aminoglycoside dosing in neonates lacks consensus.
• Optimizing gentamicin dosing is critical for efficacy and safety.
• Current empiric regimens may not achieve target concentrations.

Purpose of the Study:

• Determine gentamicin pharmacokinetics in neonates.
• Develop weight-based dosing recommendations.
• Optimize peak and trough concentrations for conventional and extended-interval dosing (EID).

Main Methods:

• Retrospective analysis of 60 neonates without renal impairment.
• Calculated mean pharmacokinetics and performed regression analysis.
• Used Classification and Regression Trees (CART) and Monte Carlo Simulation (MCS) for dosing recommendations.

Main Results:

• Gentamicin clearance and volume of distribution correlate with infant weight.
• CART identified weight breakpoints: ≤ 850g, 851-1200g, and >1200g.
• Optimal dosing regimens were identified for neonates ≤1200g using MCS, achieving target concentrations.

Conclusions:

• Provides initial gentamicin dosing recommendations for neonates up to 1200g.
• Conventional and EID regimens optimized for weight-based dosing.
• Further research needed for neonates >1200g and prospective validation.