Table 3.
Multivariate analyses.
| Model 1 | OR (95% CI) | p-value |
|---|---|---|
| CAC ≥100a | ||
| PCE | 1.026 (1.002–1.052) | 0.035 |
| Groupathero | 1.769 (0.787–3.975) | 0.167 |
| CAC > 0b | ||
| PCE | 1.026 (0.994–1.06) | 0.108 |
| Groupathero | 4.229 (1.735–10.305) | 0.002 |
| Log (CAC + 1)c | ||
| PCE | 0.039 (0.012–0.066) | 0.005 |
| Groupathero | 1.021 (0.097–1.945) | 0.030 |
aMultiple logistic regression: dependent variables, presence of coronary calcium scores (CAC) ≥100; Independent variables, scores in pooled cohort equations and group (Groupathero or Groupcontrol).
bMultiple logistic regression: dependent variables, presence of coronary calcium scores (CAC) ≥0 Independent variables, scores in pooled cohort equations and group (Groupathero or Groupcontrol).
cLinear regression: dependent variable, logarithm of sum (absolute coronary calcium scores + 1). Independent variables, scores in pooled cohort equations and group (Groupathero or Groupcontrol).
OR, odds ratio; CI, confidence interval; CAC, coronary artery calcification scores; PCE, pooled cohort equations.
p values < 0.05 were highlighted in bold.