Table 4.
Linear regression on coronary artery calcium measured as log-transformed CAC scores above zero (n = 49)
Variables | Univariate | Multivariate | ||||
---|---|---|---|---|---|---|
Coeff (95% CI) |
Percent increase in CAC score (95% CI)a | P-value | Coeff (95% CI) |
Percent increase in CAC score (95% CI)a | P-value | |
Age | 0.06 (0.03–0.09) | 15% (7–24%) | < 0.001 | 0.07 (0.04–0.10) | 16% (9–25%) | < 0.001 |
Male sex | −0.35 (−0.91–0.22) | −55% (−88–164%) | 0.222 | −0.05 (−0.53–0.44) | −11% (68–173%) | 0.839 |
Dyslipidemia | 0.08 (−0.60–0.76) | 19% (−75–472%) | 0.822 | 0.17 (− 0.40–0.73) | 47% (−60–436%) | 0.556 |
Diabetes | 0.76 (0.20–1.33) | 577% (57–2020%) | 0.009 | 0.71 (0.23–1.20) | 419% (68–1500%) | 0.005 |
Smoking | 0.05 (−0.55–1.25) | 126% (−72–1695%) | 0.434 | 0.55 (− 0.19–1.28) | 250% (−35–1792%) | 0.140 |
aCalculated as inversing log of the coefficients from the linear regression of log-transformed CAC scores and subtracting 1.