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. 2022 Jul 22;33(7):531–539. doi: 10.1097/MCA.0000000000001171

Table 3.

Univariate and multivariate logistic regression analysis to predict large/complex aortic arch plaques on wide-volume scanning with 320-row multidetector computed tomography coronary angiography

Variables Univariate analysis Multivariate analysis
OR (95% CI) P-value OR (95% CI) P-value
Age ≥ 75 years old 2.07 (0.983–4.386) 0.055 0.79 (0.303–2.072) 0.635
Male sex 1.72 (0.821–3.637) 0.150 2.90 (1.145–7.363) 0.025
Hypertension 1.61 (0.689–3.776) 0.271
Diabetes 2.95 (1.333–6.536) <0.001 1.34 (0.497–3.650) 0.558
CKD 1.69 (0.789–3.642) 0.176 1.09 (0.426–2.780) 0.860
Previous stroke history 4.84 (1.976–11.853) 0.001 3.48 (1.159–10.464) 0.026
Obstructive CAD 6.48 (3.993–14.060) <0.001 3.35 (1.325–8.484) 0.011
Log (CACS+1) 2.22 (1.558–3.184) <0.001 1.15 (0.713–1.875) 0.557
Log (TAC+1) 2.02 (1.500–2.727) <0.001 1.77 (1.191–2.640) 0.005

CACS and TAC was analyzed by log transformation.

CAD, coronary artery disease; CTCA, computed tomography coronary angiography; CKD, chronic kidney disease; CACS, coronary artery calcium score; OR, odds ratio; TAC, thoracic artery calcium; WVS, wide-volume scanning.