Skip to main content
. Author manuscript; available in PMC: 2021 Apr 23.
Published in final edited form as: J Comput Assist Tomogr. 2019 Sep-Oct;43(5):679–685. doi: 10.1097/RCT.0000000000000920

TABLE 4.

Models Built From the Coronary and Carotid Imaging Features to Predict the 10-Year ASCVD Risk Score (n = 75)

95% CI
OR Lower Upper SE t P Adjust R2 AIC
Coronary artery imaging features
 Model #1
  Intercept 8.35 5.01 11.70 1.68 4.98 <0.001 0.10 568.3
  Calcium 2.54 0.84 4.23 0.85 2.98 0.004
 Model #2
  Intercept 10.27 7.56 12.99 1.36 7.54 <0.001 0.071 570.4
  Agatston score 0.01 0.002 0.016 0.003 2.58 0.011
Carotid artery imaging features
 Intercept
6.73 4.47 8.98 1.13 5.95 <0.00 0.30 517.3
 Maximal plaque thickness
1.41 0.75 2.05 0.32 4.36 <0.001
 Soft plaque
1.61 0.12 3.34 0.87 1.85 0.068
 Ulceration
11.29 5.29 17.29 3.01 3.76 <0.001

AIC indicates Akaike information Criterion; OR, odds ratio.