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Aminoglycosides are a class of antibiotics used to treat various bacterial infections. Clinicians must determine the elimination rate constant (k) and volume of distribution (VD) to optimize therapeutic efficacy and minimize toxicity. The k value represents the rate at which the drug is removed from the body, and the VD reflects the degree to which the drug distributes into body tissues. Accurately estimating these parameters allows healthcare professionals to tailor drug dosing to individual...
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Cost-benefit analysis comparing trough, two-level AUC and Bayesian AUC dosing for vancomycin.

Brian V Lee1, Gary Fong2, Michael Bolaris3

  • 1School of Pharmacy, University of Southern California, Los Angeles, CA, USA.

Clinical Microbiology and Infection : the Official Publication of the European Society of Clinical Microbiology and Infectious Diseases
|November 22, 2020
PubMed
Summary
This summary is machine-generated.

AUC-guided vancomycin dosing strategies, including single-sample Bayesian and two-sample AUC, offer significant cost savings compared to trough dosing. These methods reduce acute kidney injury (AKI) and improve institutional financial outcomes.

Keywords:
Area under the curveBayesianCost–benefitStaphylococcus aureusVancomycin

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Area of Science:

  • Pharmacokinetics and Pharmacodynamics
  • Health Economics
  • Nephrology

Background:

  • Vancomycin dosing is critical for efficacy and safety.
  • Area under the time-concentration curve (AUC)-guided dosing offers improved vancomycin exposure estimates over traditional trough concentrations.
  • The cost-effectiveness of AUC-guided vancomycin dosing strategies remains an important consideration for healthcare institutions.

Purpose of the Study:

  • To quantify and compare the costs associated with single-sample Bayesian and two-sample AUC-guided vancomycin dosing strategies against trough-guided dosing.
  • To evaluate the economic impact of implementing advanced vancomycin dosing methods from an institutional perspective.

Main Methods:

  • A cost-benefit analysis utilizing a decision tree model was performed.
  • Probabilities and costs of acute kidney injury (AKI) were modeled for vancomycin administration.
  • Costs included drug concentrations, Bayesian software, and hospitalization; probabilities were derived from primary literature. Sensitivity analyses were conducted for robustness.

Main Results:

  • Two-sample AUC-guided dosing demonstrated average savings of US$ 846 per patient encounter compared to trough dosing.
  • Single-sample Bayesian AUC-guided dosing showed average savings of US$ 2065 per patient encounter versus trough dosing.
  • Annual cost savings were estimated at US$ 846,810 and US$ 2,065,720 for two-sample and single-sample Bayesian methods, respectively, for 1000 patients.

Conclusions:

  • Both two-sample AUC and single-sample Bayesian vancomycin dosing methods provide substantial institutional cost benefits over trough dosing, even when factoring in Bayesian software expenses.
  • Implementing AUC-guided dosing strategies can decrease AKI rates, enhance clinical outcomes, and reduce overall healthcare costs.
  • These findings support the consideration of advanced vancomycin dosing methods to improve patient care and institutional economics.