Difference between revisions of "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.<ref name="Hamberg et al 2015"> Hamberg, A., Hellman, J., Dahlberg, J., Jonsson, E., & Wadelius, M. (2015). A Bayesian decision support tool for efficient dose individualization of warfarin in adults and children. BMC Medical Informatics and Decision Making, 15(7).</ref> | 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.<ref name="Hamberg et al 2015"> Hamberg, A., Hellman, J., Dahlberg, J., Jonsson, E., & Wadelius, M. (2015). A Bayesian decision support tool for efficient dose individualization of warfarin in adults and children. BMC Medical Informatics and Decision Making, 15(7).</ref> | ||
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| + | == Introduction == | ||
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| + | 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.<ref name="Hamberg et al 2015"> | ||
| + | |||
| + | 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. | ||
== References== | == References== | ||
Revision as of 23:11, 21 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]
Cite error: <ref> tags exist, but no <references/> tag was found
