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. Author manuscript; available in PMC: 2011 Dec 1.
Published in final edited form as: Atherosclerosis. 2010 Sep 15;213(2):469–474. doi: 10.1016/j.atherosclerosis.2010.08.080

Table 2.

Multivariable logistic regression models for CAD, high CAC score (≥100), and low ABI (<0.9)a in the Pittsburgh EDC Pulse Wave Analysis study population

CADb High CACb Low ABI
Variable OR 95% CI p-value OR 95% CI p-value OR 95% CI p-value
Augmentation Pressurec 2.34 1.04–5.28 0.04 --- --- --- 1.27 0.67–2.42 0.47
Subendocardial Viability Ratiod --- --- --- 0.56 0.30–1.04 0.07 0.35 0.15–0.83 0.02

Odds ratios are per standardized unit.

a

Excludes those with High ABI (>1.3) (n=28).

b

Excludes those reporting nitrate use (n=5).

c

Model adjusted for potential confounders: heart rate and height

d

Model adjusted for potential confounder: heart rate

Other variables available for model selection: age, sex, SBP, DBP, WHR, HDL-c, Non-HDL-c, HbA1c, anti-lipidemic agent use, pulse wave drug use (use of at least one: ACEI/ARB, calcium channel blocker, beta-blocker), smoking history, albumin excretion rate.