Table 2.
Independent Predictors of Any CAC (>0) and Severe CAC (>100) Among 13 397 Asymptomatic Adults Aged 30 to 49 Years
| Risk factors | CAC >0 (n=2759) | CAC >100 (n=485) | ||||
|---|---|---|---|---|---|---|
| OR | 95% CI | P value | OR | 95% CI | P value | |
| Age, per 10‐y increase | 4.91 | (3.62–6.66) | <0.001 | 2.97 | (2.60–3.40) | <0.001 |
| Male sex | 3.56 | (3.08–4.11) | <0.001 | 4.80 | (3.25–7.11) | <0.001 |
| Black (vs White) race | 0.53 | (0.46–0.61) | <0.001 | 0.58 | (0.43–0.78) | 0.004 |
| Hypertension | 1.31 | (1.17–1.46) | <0.001 | 1.43 | (1.15–1.78) | 0.001 |
| Hyperlipidemia | 1.45 | (1.32–1.59) | <0.001 | 1.47 | (1.21–1.78) | <0.001 |
| Tobacco use | 1.21 | (1.00–1.46) | 0.052 | 1.67 | (1.19–2.35) | 0.003 |
| Diabetes | 1.05 | (0.83–1.33) | 0.68 | 1.20 | (0.77–1.85) | 0.43 |
Multivariable logistic regression models were created to determine factors associated with coronary artery calcium (CAC) >0 and CAC >100, forcing age (continuous), race, sex, hypertension, hyperlipidemia, tobacco use, and diabetes into the model. All independent variables except diabetes significantly predicted presence of CAC >100 after adjusting for other risk factors in the model. OR indicates odds ratio.