Table 5.
Multiple logistic regression models of baseline characteristics and scan demographics and accuracy of cCTA.
| Odds Ratio | 95% Confidence Interval | p Value | |
|---|---|---|---|
| Model 1 a | |||
| BMI | 0.97 | [0.93–1.00] | 0.05 |
| HR | 0.99 | [0.98–1.00] | 0.11 |
| Model 1 b | |||
| BMI (5 kg/m2) | 0.82 | [0.69–0.99] | 0.03 |
| Model 2 | |||
| BMI | 0.97 | [0.93–1.01] | 0.11 |
| HR | 0.99 | [0.98–1.00] | 0.09 |
| logCAC | 1.64 | [0.35–7.65] | 0.52 |
| √ number of calcified lesions | 0.84 | [0.55–1.28] | 0.40 |
| logCAC/ number of calcified lesions | 0.49 | [0.12–2.05] | 0.32 |
BMI = body mass index; CAC = BMI = body mass index; CAC = coronary artery calcium score, HR = heart rate.