Association between IL-10/TNF-α genotypes and response to prednisone treatment. Association was calculated by unconditional logistic regression modeling using good response to prednisone treatment (achieving an ACR70) as the dependent variable.
| Combined IL-10/TNF-α genotype | ACR ≤ 50, n = 66 | ACR 70, n = 32 | Univariate Analysis OR (95% CI) | p | Multivariate Analysis* OR (95% CI) | p |
|---|---|---|---|---|---|---|
| −1082GG+GA/−308GG (high IL-10/low TNF-α) | 30 (45.5) | 25 (78.1) | 4.286 (1.63–11.28) | 0.003 | 10.30 (2.73–38.84) | 0.001 |
| Other combined genotypes | 36 (54.5) | 7 (21.9) | 1 | 1 |
↵* Backward logistic regression modeling. The variables entered in the initial model were prednisone dose, other treatments used in combination with prednisone (methotrexate, leflunomide, etanercept, adalimumab), and genetic (HLA-DRB1 SE), immunologic (RF and anti-CCP antibodies), and demographic (sex and age) factors. The final model (accuracy of 77.3%) included prednisone dose, sex, and presence of anti-CCP antibodies. TNF: tumor necrosis factor; ACR: American College of Rheumatology; SE: shared epitope; RF: rheumatoid factor; CCP: cyclic citrullinated peptides.