Table 4.
Univariate (crude) effect of risk factors for atherosclerosis as predictors on the presence of carotid plaque (dependent variable). Logistic regression coefficient Exp(B) and 95% Confidence Interval.
| Dependent parameters | Independent parameters | Exp(B) | Confidence Interval 95% | p | |
| Lower bound | Upper bound | ||||
| Carotid plaque | Risk age | 3.86 | 1.49 | 9.97 | 0.005 |
| AH | 2.88 | 1.19 | 7.02 | 0.019 | |
| Smoking | 3.59 | 1.40 | 9.24 | 0.008 | |
| Central obesity | 9.0 | 1.16 | 69.71 | 0.035 | |
| MetS | 3.53 | 1.44 | 8.64 | 0.006 | |
| SCORE | 1.44 | 1.12 | 1.85 | 0.004 | |
| T-C | 1.88 | 1.24 | 2.83 | 0.003 | |
| TAG | 1.57 | 0.99 | 2.49 | 0.057 | |
| LDL-C | 2.31 | 1.34 | 4.01 | 0.003 | |
Remarks: AH, arterial hypertension; MetS, metabolic syndrome; T-C, total cholesterol; LDL-C, low density lipoprotein cholesterol; TAG, triglycerides; HDL-C, high-density lipoprotein cholesterol; SCORE, Systematic Coronary Risk Estimation; p, statistical significance. Variables at follow-up were entered into the logistic regression analysis. Dichotomic variables had two distinct alternatives (yes/no). Carotid plaque entered the analysis at N = 25 (every entered subject had only one plaque). Significant predictors are shown (sex, positive family history, duration of arterial hypertension, HDL-C and number of risk factors did not have significant association with carotid plaque).