A Bayesian decision support tool for efficient dose individualization of warfarin in adults and children

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This is a review of Hamberg, Hellman, Dahlberg, Jonsson, and Wadelius’ 2015 article, A Bayesian decision support tool for efficient dose individualization of warfarin in adults and children.[1]

Introduction

Warfarin is one of the most commonly prescribed anticoagulants in both adults and children, with over 33 million prescriptions in 2011. Dose individualization to minimize the risk for over- or under-dosing can be made:

  • Before starting therapy (a priori) and/or
  • After therapy has been initiated (a posteriori)

The therapy may range in complexity from body size based dosing to utilization of advanced mechanism based mathematical and statistical models.[1]
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