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. Author manuscript; available in PMC: 2014 Mar 15.
Published in final edited form as: J Cardiovasc Comput Tomogr. 2013 Mar 15;7(2):125–132. doi: 10.1016/j.jcct.2013.02.003

Table 4.

Multivariable logistic regression analysis for the prediction of any high-risk plaque features (HRPFs) low attenuation plaque (LAP), positive remodelling (PR) and concomitant LAP and PR

Any HRPFs LAP PR LAP + PR

OR (95% CI) p OR (95% CI) p OR (95% CI) p OR (95% CI) p

Age 1.0 (1.0 – 1.0) 0.1 1.0 (1.0 – 1.1) 0.03 1.0 (1.0 – 1.0) 0.5 1.0 (1.0 – 1.0) 0.3
BMI 1.0 (0.9 – 1.1) 0.6 1.0 (0.9 – 1.0) 0.5 1.0 (0.9 – 1.1) 0.7 1.0 (0.9 – 1.1) 0.5
Diabetes mellitus 1.6 (0.9 – 2.5) 0.04 1.8 (1.1 – 2.8) 0.02 1.8 (1.1 – 2.7) 0.01 2.2 (1.3 – 3.7) 0.002
Hypercholesterolemia 1.5 (0.8 – 2.6) 0.047 1.5 (0.8 – 2.8) 0.2 1.8 (1.0 – 3.1) 0.04 1.7 (0.8 – 3.6) 0.2
Smoking 1.8 (0.8 – 4.2) 0.2 2.1 (1.0 – 4.8) 0.06 1.6 (0.8 – 3.4) 0.2 2.5 (1.0 – 6.1) 0.040
Family history 0.9 (0.6 – 1.6) 0.8 1.0 (0.6 – 1.8) 0.9 1.1 (0.7 – 1.8) 0.8 1.3 (0.7 – 2.6) 0.4
Hypertension 0.6 (0.4 – 1.1) 0.7 0.7 (0.4 – 1.3) 0.3 0.8 (0.4 – 1.3) 0.3 0.5 (0.2 – 0.9) 0.03
Log EFV 1.7(0.9 – 3.4) 0.04 2.4 (1.1 – 5.1) 0.02 1.8 (1.0 – 3.4) 0.07 2.6 (1.1 – 6.2) 0.03

Abbreviations

BMI – body mass index; EFV – epicardial fat volume.