Table 4.
Multivariate logistic regression model to assess the association of inflammatory biomarkers and clinical atherosclerosis manifestations in patients with CV risk.
| OR (IC 95%) | p | ||
|---|---|---|---|
| SDF1 | Crude | 2.4 (1.6–3.5) | <0.001 |
| Model 1 | 1.6 (1.1–2.4) | 0.018 | |
| Model 2 | 2.3 (1.4–3.6) | <0.001 | |
| Model 3 | 2.4 (1.5–3.9) | 0.001 | |
| MMP12 a | Crude | 1.6 (1.2–2.3) | 0.002 |
| Model 1 | 1.5 (1.1–2.2) | 0.027 | |
| Model 2 | 1.4 (0.9–2.0) | 0.1 | |
| Model 3 | 1.3 (0.9–2.3) | 0.17 | |
| CRP a | Crude | 1.9 (1.6–2.3) | <0.001 |
| Model 1 | 1.6 (1.3–2.0) | <0.001 | |
| Model 2 | 1.6 (1.3–1.9) | <0.001 | |
| Model 3 | 1.6 (1.3–1.9) | <0.001 |
SDF1: Stromal derive factor, MMP12: Matrix metalloproteinase 12, CRP: C- reactive protein. a Logarithmically transformed variables. Model 1 includes age and sex, Model 2 includes hypertension, diabetes mellitus, dyslipidaemia and obesity, Model 3: Age, sex, hypertension, diabetes, dyslipidaemia, abdominal perimeter, smoking, alcohol, and PREDIMED score (PREvención con DIeta MEDiterranea).