Table 3 |
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|
Multiple regression models showing variables associated with the BASDAI, BASFI and BAS-G at baseline |
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|
Response variablea |
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|
|
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|
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. |
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|
Mattey et al. Arthritis Research & Therapy 2012 14:R127 doi:10.1186/ar3857 |
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