Table 3.
Multiple regression models showing variables associated with the BASDAI, BASFI and BAS-G at baseline
| Response variablea | ||
|---|---|---|
| Independent variable | Regression coefficient (SE) | P value |
| Model 1 | BASDAI | |
| Female | 0.302 (0.119) | 0.012 |
| MMP-8 (pg/ml) | 6.667 × 10-6 (2.533 × 10-6) | 0.009 |
| CRP (mg/l) | 0.005 (0.003) | 0.054 |
| Model 2 | BASFI | |
| Age | 0.012 (0.004) | 0.002 |
| CRP (mg/dl) | 0.011 (0.003) | 0.001 |
| Model 3 | BAS-G | |
| Female | 0.314 (0.131) | 0.018 |
| MMP-8 (pg/ml) | 6.548 × 10-6 (2.786 × 10-6) | 0.020 |
CRP, C-reactive protein; MMP, matrix metalloproteinase; SE, standard error. aFor each regression model, square root transformation of the response variable - Bath ankylosing spondylitis disease activity index (BASDAI), Bath ankylosing spondylitis functional index (BASFI) or Bath ankylosing spondylitis global health (BAS-G) - was carried out to achieve a normal distribution of the data.