Skip to main content
. 2024 May 15;35(8):633–640. doi: 10.1097/MCA.0000000000001385

Table 4.

Univariate and multivariate logistic regression analysis for CAD in proximal segment of AAOCA

N Univariate analysis Multivariate analysis
Crude OR 95% CI P-valuea Adjusted OR 95% CI P-valueb
Types of course 390
 Prepulmonic 25 1.50 0.40–5.80 0.561 1.50 0.40–6.10 0.538
 Subpulmonic 24 1.00 1.00
 Interarterial 122 Not estimated Not estimated
 Retroaortic 219 2.97 1.20–9.20 0.037 3.40 1.30–10.70 0.022
Age 390 1.02 1.02–1.04 0.029 1.00 1.01–1.05 0.014
Male gender 390 2.06 1.20–3.70 0.011 2.60 1.40–5.00 0.003
BMI 369 1.02 0.98–1.07 0.292
Former/current smoker 386 1.55 0.98–2.46 0.061
Hypertension 387 1.06 0.68–1.66 0.799
Dyslipidemia/statin 383 1.21 0.77–1.89 0.414
Diabetes 381 1.19 0.68–2.04 0.540
Heredity 382 1.52 0.84–2.69 0.154

AAOCA, anomalous aortic origin of a coronary artery; CAD, coronary artery disease; CI, confidence interval; OR, odds ratio.

a

Wald test. Variables with P-value <0.1 were integrated in the multivariate analysis.

b

Wald test. Multivariate analysis carried out from 360 observations.