Why the study?
Can pharmacokinetic parameters of warfarin be used to construct algorithms that predict the cause of abnormal warfarin responsiveness?
Can pharmacokinetic parameters of warfarin be used to construct algorithms that predict the cause of abnormal warfarin responsiveness?
Algorithms based on plasma warfarin concentration and clearance confidence limits can help identify the cause of abnormal warfarin responsiveness in clinical settings.
May aid identification of warfarin sensitivity or resistance; hypothesis-generating for algorithms and requires prospective validation.
In 55 patients in whom warfarin control had been satisfactory for at least 4 months, warfarin dose, plasma warfarin concentration and plasma clearance were measured. The mean dose to maintain the BCR (INR) between 2.3 and 3.3 was 5.1 +/- 2 mg day-1 (range 1.5-10 mg). Plasma warfarin concentrations and warfarin clearance were log-normally distributed with 95% confidence limits between 0.8 and 2.4 mg l-1 and 2.5 and 8.71 day-1 respectively. These confidence limits were used to construct algorithms which correctly predicted the cause of abnormal warfarin sensitivity in two patients and resistance in two further patients. These algorithms should help to identify the cause of abnormal warfarin responsiveness in the clinical setting.
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Bentley et al. (1986) studied this question.
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