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. Author manuscript; available in PMC: 2018 Oct 1.
Published in final edited form as: Circ Cardiovasc Imaging. 2017 Oct;10(10):e006592. doi: 10.1161/CIRCIMAGING.117.006592

Table 3.

The results of multivariable Cox proportional hazards regression analysis for the prediction of major coronary heart disease events during follow-up

Hazard Ratio (95% CI) P value
Model adjusted for age and gender
 Number of coronary segments with CAC 1.31 (1.18–1.45) <0.001
 Number of coronary arteries with CAC 2.29 (1.66–3.18) <0.001
 Proximal dominant coronary artery CAC 4.83 (2.35–9.91) <0.001
Model adjusted for Framingham risk score
 Number of coronary segments with CAC 1.28 (1.16–1.42) <0.001
 Number of coronary arteries with CAC 2.20 (1.61–3.02) <0.001
Proximal dominant coronary artery CAC 4.68 (2.28–9.61) <0.001
Model adjusted for Framingham risk score and CAC score categories (1–100, 101–300, >300)
 Number of coronary segments with CAC 1.14 (0.99–1.32) 0.07
 Number of coronary arteries with CAC 1.68 (1.10–2.57) 0.02
 Proximal dominant coronary artery CAC 2.59 (1.15–5.83) 0.02
Model adjusted for Framingham risk score and log-transformed CAC score
 Number of coronary segments with CAC 1.09 (0.93–1.28) 0.31
 Number of coronary arteries with CAC 1.53 (1.00–2.36) 0.05
 Proximal dominant coronary artery CAC 2.35 (1.05–5.29) 0.04