Table 3. Multivariable regression analysis with identified covariables associated with cIMT.
| Variable | Controls n = 117 | RA patients n = 243 | Total population n = 360 | |||
|---|---|---|---|---|---|---|
| R2 = 0.321 | R2 = 0.391 | R2 = 0.347 | ||||
| B (95% CI) | P-value | B (95% CI) | P-value | B (95% CI) | P-value | |
| Age (yr) | 0.005 (0.003–0.007) | <0.001 | 0.005 (0.004–0.006) | <0.001 | 0.005 (0.004–0.006) | <0.001 |
| Male sex | 0.010 (-0.037–0.056) | 0.678 | 0.013 (-0.014–0.040) | 0.336 | 0.015 (-0.008–0.038) | 0.201 |
| Smoking | 0.101 (0.041–0.162) | 0.001 | 0.019 (-0.011–0.049) | 0.207 | 0.034 (0.007–0.061) | 0.014 |
| Waist (cm) | 0.002 (0.000–0.004) | 0.127 | 0.001 (0.000–0.002) | 0.142 | 0.001 (0.000–0.002) | 0.106 |
| BPs (mmHg) | 0.001 (-0.001–0.002) | 0.488 | 0.001 (0.000–0.002) | 0.003 | 0.001 (0.000–0.002) | 0.012 |
| LDL-C (mmol/l) | 0.009 (-0.016–0.034) | 0.467 | 0.007 (-0.006–0.020) | 0.270 | 0.009 (-0.003–0.020) | 0.143 |
| Apo B (g/l) | ** | ** | ** | |||
RA = Rheumatoid arthritis, BPs = systolic blood pressure, Apo = apolipoprotein
** When using apoB instead of LDL similar results were found.