Shamin Mohd Saffian

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BACKGROUND A previously established Bayesian dosing tool for warfarin was found to produce biased maintenance dose predictions. In this study, we aimed (1) to determine whether the biased warfarin dose predictions previously observed could be replicated in a new cohort of patients from 2 different clinical settings, (2) to explore the influence of CYP2C9(More)
BACKGROUND The aim of this study was to compare the predictive performance of different warfarin dosing methods. METHODS Data from 46 patients who were initiating warfarin therapy were available for analysis. Nine recently published dosing tools including 8 dose prediction algorithms and a Bayesian forecasting method were compared with each other in terms(More)
There is preliminary evidence to suggest that some published warfarin dosing algorithms produce biased maintenance dose predictions in patients who require higher than average doses. We conducted a meta-analysis of warfarin dosing algorithms to determine if there exists a systematic under- or overprediction of dose requirements for patients requiring ≥7(More)
BACKGROUND An assay for the quantification of dabigatran and its active metabolites, dabigatran acylglucuronides, has not previously been described in detail. RESULTS For the quantification of total dabigatran concentration (free dabigatran and acylglucuronides), samples were subjected to alkaline hydrolysis. For the quantification of free dabigatran,(More)
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