A Bayesian method based on clotting factor activity for the prediction of maintenance warfarin dosage regimens

Maria Pitsiu, Eva M. Parker, Leon Aarons, Malcolm Rowland

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Summary: A Bayesian algorithm, employing a population pharmacokineticpharmacodynamic model, for the effective and rapid prediction of warfarin maintenance dosing requirements was developed. The algorithm was evaluated prospectively in five healthy volunteers who were given a 15-mg single dose of racemic warfarin. Based on previous population pharmacokinetic and pharmacodynamic parameters and factor VII response measurements taken during the first 48 hours, dosage regimens to achieve a subtherapeutic degree of anticoagulation (50% of normal) were determined. Three factor VII response measurements were sufficient to determine dosing requirements in the five volunteers. The advantage of the algorithm is that it does not require warfarin concentration measurements and uses non-steady-state data.
    Original languageEnglish
    Pages (from-to)36-40
    Number of pages4
    JournalTherapeutic Drug Monitoring
    Volume25
    Issue number1
    DOIs
    Publication statusPublished - Feb 2003

    Keywords

    • Bayesian forecasting
    • Factor VII
    • Pharmacodynamics
    • Pharmacokinetics
    • Warfarin

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