Table 5.
Multivariable Linear Regression Models for Coronary Artery Calcification Burden (log [CAC+1])
| Variable | All (β±SE) | Women (β±SE) | Men (β±SE) |
|---|---|---|---|
| Age, y | 0.102±0.003, P<0.0001 | 0.089±0.005, P<0.0001 | 0.120±0.005, P<0.0001 |
| eGFR, mL/min per 1.73 m2 | −0.746±0.037, P<0.0001 | ··· | 0.006±0.003, P=0.0227 |
| Heart rate, bpm | ··· | ··· | ··· |
| MAP, mm Hg | ··· | ··· | 0.007±0.005, P=0.0960 |
| Hypertension | 0.008±0.003, P=0.0120 | 0.267±0.054, P<0.0001 | 0.155±0.053, P=0.0034 |
| Hyperlipidemia | 0.138±0.044, P=0.0016 | ··· | ··· |
| Diabetes mellitus | ··· | 0.140±0.073, P=0.0572 | ··· |
| Smoking | 0.140±0.051, P=0.0064 | 0.373±0.050, P<0.0001 | 0.291±0.050, P<0.0001 |
| Antihypertensive use | 0.342±0.035, P<0.0001 | ··· | ··· |
| Apirin use | 0.084±0.044, P=0.0576 | −0.101±0.053, P=0.0618 | ··· |
| Statin use | −0.746±0.037, P<0.0001 | 0.284±0.056, P<0.0001 | 0.368±0.051, P<0.0001 |
| Log iAC | −0.109±0.121, P=0.3700 | −0.334±0.166, P=0.0442 | −0.114±0.173, P=0.5103 |
Results of step‐wise multivariable linear regression models with forward elimination, with criteria of P≤0.10 to enter and ≤0.05 to stay in the models. CAC indicates coronary artery calcium; eGFR, estimated glomerular filtration rate; iAC, indexed arterial compliance; MAP, mean arterial pressure; SV, stroke volume; SVi, stroke volume index.