Why the study?
Does a Bayesian regression program accurately predict warfarin response in inpatients?
Population
58 inpatients receiving warfarin therapy (48 in retrospective cohort, 10 in prospective cohort)
Comparison
Bayesian regression program using up to five… vs Naive parameters or fewer daily PR feedbacks
Design
Cohort
Follow-up
Until the last day of inpatient therapy
Authors
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May support Bayesian warfarin dosing predictions with daily feedbacks in selected inpatients; leaves open confirmation via randomized trials.
Does a Bayesian regression program accurately predict warfarin response in inpatients?
A Bayesian regression program using five daily prothrombin ratio feedbacks can accurately predict warfarin response in inpatients, particularly when confounding factors are excluded.
Boyle et al. (1989) studied this question.
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