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. Author manuscript; available in PMC: 2014 May 2.
Published in final edited form as: Ann Pharmacother. 2013 Jan 16;47(1):35–42. doi: 10.1345/aph.1R515

Table 2.

Effect of Patient Characteristicsa on Warfarin Use by Multilevel Model

Characteristic OR (95% CI)
Age in 2008, years
 66–69 Reference
 70–74 1.05 (0.95–1.15)
 75–79 1.05 (0.96–1.15)
 80–84 0.95 (0.87–1.04)
 ≥85 0.64 (0.59–0.70)
Race
 non-Hispanic white Reference
 black 0.86 (0.76–0.97)
 Hispanic 0.96 (0.84–1.11)
 other/unknown 0.81 (0.69–0.95)
Sex
 male 1.04 (0.99–1.09)
 female Reference
Census division
 New England 1.49 (1.26–1.76)
 Middle Atlantic 1.39 (1.22–1.59)
 East North Central 1.33 (1.17–1.50)
 West North Central 1.62 (1.40–1.86)
 South Atlantic 1.13 (1.01–1.28)
 East South Central 1.09 (0.93–1.26)
 West South Central Reference
 Mountain 1.27 (1.07–1.50)
 Pacific 1.08 (0.94–1.23)
Cardiologist visit in 2007
 no Reference
 yes 1.23 (1.17–1.29)
CHADS2 scoreb in 2007
 0 Reference
 1 0.92 (0.86–0.99)
 ≥2 1.09 (1.01–1.17)
Medicaid eligibility in 2008
 no Reference
 yes 0.89 (0.84–0.95)
Elixhauser comorbidity scorec
 0 Reference
 1–2 0.88 (0.84–0.93)
 3–4 0.67 (0.63–0.72)
 ≥5 0.56 (0.51–0.63)

CHADS2 = congestive heart failure, hypertension, age, diabetes, and stroke or transient ischemic attack; PCP = primary care physician.

a

Patients with contraindications were excluded.

b

The age criteria from the CHADS2 score were removed so that the effect of age alone could be studied.

c

Excluding conditions associated with the CHADS2 score (congestive heart failure, paralysis, diabetes, and hypertension) to prevent collinearity.