Patient-Specific Factors Predictive of Warfarin Dosage Requirements

Author:

Absher Randall K1,Moore M Elisabeth2,Parker Mary H3

Affiliation:

1. Randall K Absher PharmD BCPS, Pharmacy Clinical Coordinator, Wesley Long Community Hospital, Greensboro, NC

2. M Elisabeth Moore MEd RD CNSD LDN, Nutrition Support Dietitian, Wesley Long Community Hospital

3. Mary H Parker PharmD BCPS, Director, Cardiovascular Risk Reduction Clinics, LeBauer HealthCare, Greensboro

Abstract

OBJECTIVE: To identify patient-specific factors predictive of maintenance warfarin dosage requirements >5 mg/d. METHODS: One hundred forty-six adults taking warfarin were identified from a community hospital and an outpatient anticoagulation clinic. Patient demographics and data on warfarin doses, laboratory results, and medication use were obtained by abstracting patient records. Estimates of vitamin K intake were obtained using a questionnaire and structured interview. Multiple logistic regression was used to identify patient characteristics independently predictive of warfarin maintenance requirements >5 mg/d. An assessment tool for estimating an individual patient's likelihood of requiring warfarin maintenance doses >5 mg/d was derived from the logistic regression model and was assessed in both the study cohort and a separate historical validation cohort of 125 patients. RESULTS: Five factors were independently associated with warfarin requirements >5 mg/d: age <55 years, male gender, African American ethnicity, vitamin K intake >400 μg/d, and body weight ≥91 kg. The assessment tool derived from these factors correctly classified semiquantitative warfarin requirements as non—high-dose in 84 of 93 study cohort patients and 71 of 78 validation cohort patients, and correctly classified requirements as high-dose in 10 of 13 study cohort patients and 11 of 15 validation cohort patients. CONCLUSIONS: African American ethnicity is a newly identified predictor of warfarin requirements >5 mg/d and is independent of dietary vitamin K intake. An assessment tool incorporating this and other predictors can estimate a patient's likelihood of requiring such dosages.

Publisher

SAGE Publications

Subject

Pharmacology (medical)

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