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Published on: August 30, 2018
Implementation of Vancomycin Therapeutic Monitoring Guidelines: Focus on Bayesian Estimation Tools in Neonatal and
Jihye Han1, Jason Sauberan2, Martin Tuan Tran3
1Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, Louisiana Jolla.
Insights
This study reviewed vancomycin pharmacokinetic models and Bayesian tools for children. DoseMeRx, InsightRx, and PrecisePK are recommended for optimizing vancomycin dosing in neonatal and pediatric patients.
Area of Science:
- Pharmacokinetics
- Therapeutic Drug Monitoring
- Pediatric Pharmacology
Background:
- 2020 guidelines recommend Bayesian estimation for vancomycin dosing in pediatric patients.
- Individualized vancomycin therapy is crucial for optimal outcomes in children.
- Population-based pharmacokinetic (PK) models and Bayesian tools are essential for this approach.
Purpose of the Study:
- To assess and compare published population-based PK vancomycin models for neonates and children.
- To evaluate available Bayesian estimation tools for vancomycin therapeutic monitoring in pediatric populations.
- To support the implementation of institutional guidelines for vancomycin dosing in children.
Main Methods:
- Searched PubMed and Embase databases (1994-2020) for vancomycin PK models in neonates and pediatrics.
- Identified and assessed six Bayesian software programs: Adult and Pediatric Kinetics, BestDose, DoseMeRx, InsightRx, MwPharm++, and PrecisePK.
- Included 14 neonatal and 20 pediatric PK models in the review.
Main Results:
- Frymoyer et al and Capparelli et al developed neonatal models using large PK samples with external validation.
- Le et al developed a pediatric model with the largest sample size and multiple external validations.
- DoseMeRx, InsightRx, and PrecisePK were identified as Bayesian programs utilizing clinically validated neonatal and pediatric models.
Conclusions:
- Clinicians should select PK models that best fit their specific pediatric patient population.
- Utilizing Bayesian estimation tools is recommended for area under the curve-targeted vancomycin dosing.
- Effective therapeutic drug monitoring is key to optimizing vancomycin use in neonates and children.
Background:
The 2020 consensus guidelines for vancomycin therapeutic monitoring recommend using Bayesian estimation targeting the ratio of the area under the curve over 24 hours to minimum inhibitory concentration as an optimal approach to individualize therapy in pediatric patients. To support institutional guideline implementation in children, the objective of this study was to comprehensively assess and compare published population-based pharmacokinetic (PK) vancomycin models and available Bayesian estimation tools, specific to neonatal and pediatric patients.
Methods:
PubMed and Embase databases were searched from January 1994 to December 2020 for studies in which a vancomycin population PK model was developed to determine clearance and volume of distribution in neonatal and pediatric populations. Available Bayesian software programs were identified and assessed from published articles, software program websites, and direct communication with the software company. In the present review, 14 neonatal and 20 pediatric models were included. Six programs (Adult and Pediatric Kinetics, BestDose, DoseMeRx, InsightRx, MwPharm++, and PrecisePK) were evaluated.
Results:
Among neonatal models, Frymoyer et al and Capparelli et al used the largest PK samples to generate their models, which were externally validated. Among the pediatric models, Le et al used the largest sample size, with multiple external validations. Of the Bayesian programs, DoseMeRx, InsightRx, and PrecisePK used clinically validated neonatal and pediatric models.
Conclusions:
To optimize vancomycin use in neonatal and pediatric patients, clinicians should focus on selecting a model that best fits their patient population and use Bayesian estimation tools for therapeutic area under the -curve-targeted dosing and monitoring.
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