Table 9.
Variables | Multivariate linear regression | |
---|---|---|
Coefficient β | P value | |
Sex | − 0.083 | 0.847 |
Age | 0.055 | 0.000 |
BSA | 2.746 | 0.030 |
Smoking | − 0.346 | 0.355 |
Alcohol | 0.002 | 0.997 |
SBP | 0.000 | 0.987 |
DBP | 0.034 | 0.016 |
CAD | 0.020 | 0.951 |
Hypertension | 0.705 | 0.093 |
DM | − 0.174 | 0.721 |
Hyperlipidaemia | − 0.181 | 0.779 |
Triglyceride, mmol/L | − 0.237 | 0.053 |
HDL-C, mmol/L | 0.526 | 0.355 |
Lipoprotein (a), mg/L | 0.000 | 0.731 |
Platelet count | − 0.004 | 0.069 |
Statin agent | − 0.392 | 0.220 |
Anti-hypertension agent | 0.187 | 0.631 |
Hypoglycemic agent | − 0.407 | 0.492 |
Hemoglobin | 0.013 | 0.256 |
Sex, age, BSA, smoking, drinking, SBP, DBP, hypertension, DM, CAD, Hyperlipidaemia, triglyceride, HDL-C, LP (a), statin agent, hypoglycemic agent and anti-hypertension agent were considered clinically relevant and were entered into multivariate linear regression analysis of ascending aorta diameter with no dilation, regardless of whether it is significantly related to aortic diameter. Other interested variables that showed a univariate relationship with aortic diameter with P < 0.1 were included
Statistical differences: P < 0.05
BSA body surface area, SBP systolic blood pressure, DBP diastolic blood pressure, CAD coronary artery disease, DM diabetes mellitus, HDL-C high-density lipoprotein cholesterol