Genetic Algorithms as a Tool for Dosing Guideline Optimization: Application to Intermittent Infusion Dosing for Vancomycin in Adults

Pieter J. Colin*, Douglas J. Eleveld, Alison H. Thomson

*Corresponding author for this work

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Abstract

This paper demonstrates the use of a genetic algorithm (GA) for the optimization of a dosing guideline. GAs are well-suited to derive combinations of doses and dosing intervals that go into a dosing guideline when the number of possible combinations rule out the calculation of all possible outcomes. GAs also allow for different constraints to be imposed on the optimization process to safeguard the clinical feasibility of the dosing guideline. In this work, we demonstrate the use of a GA for the optimization of intermittent vancomycin administration in adult patients. Constraints were placed on the dose strengths, the length of the dosing intervals, and the maximum infusion rate. In addition, flexibility with respect to the timing of the first maintenance dose was included in the optimization process. The GA-based optimal solution is compared with the Scottish Antimicrobial Prescribing Group vancomycin guideline.

Original languageEnglish
Pages (from-to)294-302
Number of pages9
JournalCPT: Pharmacometrics & Systems Pharmacology
Volume9
Issue number5
DOIs
Publication statusPublished - May-2020

Keywords

  • TARGET TROUGH CONCENTRATIONS
  • NOMOGRAM
  • VALIDATION
  • ACHIEVE

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