Difference between revisions of "A Bayesian decision support tool for efficient dose individualization of warfarin in adults and children"
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The authors in this journal article presented a warfarin dose decision tool that can be used a priori to predict the most probable dose to reach a given target INR, or to predict the most probable INR response to a given dose. | The authors in this journal article presented a warfarin dose decision tool that can be used a priori to predict the most probable dose to reach a given target INR, or to predict the most probable INR response to a given dose. | ||
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Revision as of 00:17, 22 March 2015
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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