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Renal Function Descriptors in Neonates: Which Creatinine-Based Formula Best Describes Vancomycin Clearance?
Jiraganya Bhongsatiern1, Chris Stockmann2,3, Tian Yu2
1Department of Pharmaceutical Sciences, The James L. Winkle College of Pharmacy, University of Cincinnati, Cincinnati, OH, USA.
Quantifying neonatal renal function is crucial for drug dosing. This study found that renal function descriptors, alongside age and weight, significantly improve vancomycin clearance estimates in neonates.
Area of Science:
- Neonatal pharmacology
- Pediatric nephrology
- Drug metabolism and disposition
Background:
- Renal drug clearance, like vancomycin, is influenced by growth and maturation.
- Neonatal renal function is immature, necessitating accurate assessment for drug therapy.
- Existing serum creatinine (SCr)-based renal function descriptors are not optimized for neonates.
Purpose of the Study:
- To review neonatal kidney development and renal function assessment methods.
- To identify optimal renal function descriptors for estimating vancomycin clearance in neonates.
- To develop population pharmacokinetic models for vancomycin in a neonatal cohort.
Main Methods:
- Review of neonatal kidney development and renal function estimation.
- Application of various SCr-based renal function descriptors.
- Development of population pharmacokinetic models using age, weight, SCr, and renal function descriptors.
- Analysis of vancomycin clearance variability in a septic neonatal cohort.
Main Results:
- Incorporating SCr or renal function descriptors significantly reduced vancomycin clearance variability.
- Population pharmacokinetic models using Léger and modified Schwartz formulas were optimal.
- SCr and other tested renal function descriptors also provided good model fit.
- The study supports using renal function descriptors for vancomycin clearance estimation in neonates.
Conclusions:
- Renal function descriptors are valuable for estimating vancomycin clearance in neonates.
- Age, weight, and renal function descriptors improve pharmacokinetic model accuracy.
- Further validation of developed models with external data is recommended.
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