Table 2. Multivariate logistic regression analysis of a combination of urinary proteins with blood markers for predicting radiographic progression.
| Odds ratio (95% CI) | P-value | |
|---|---|---|
| Model+ORM2-CRP combination | ||
| Negative (n=128) | 1 | |
| One positive (n=93) | 8.72 (1.01–77.68) | 0.048 |
| Two positive (n=43) | 46.45 (5.23–412.73) | 0.001 |
| Model+ORM2-ESR combination | ||
| Negative (n=85) | 1 | |
| One positive (n=110) | 1.09 (0.25–4.84) | 0.309 |
| Two positive (n=69) | 3.94 (1.10–15.69) | 0.042 |
| Model+CRP-ESR combination | ||
| Negative (n=90) | 1 | |
| One positive (n=84) | 1.70 (0.35–3.84) | 0.268 |
| Two positive (n=90) | 4.09 (1.07–15.55) | 0.039 |
Abbreviations: CI, confidence interval; CRP, C-reactive proteins; ESR, erythrocyte sedimentation rate; ORM, orosomucoid (α1-acid glycoprotein).
Model included the following baseline variables: disease duration, anti-cyclic citrullinated peptide antibody positivity, and glomerular filtration rate. Logistic regression was used to obtain model 1-adjusted odds ratios for the presence of radiographic progression.