TABLE 5.
Results of robust mixed linear regression model for predictors of anti-dsDNA antibody titer. Individual Patient ID was included as random effect in the model. Predictor values were measured at all timepoints.
| Dependent: anti-dsDNA antibody titer | ||||
|---|---|---|---|---|
| Predictors | Estimate | Std. error | t value | Pvalue |
| (Intercept) | 335.7107 | 76.5060 | 4.3880 | 0.0007 |
| Month 6 | 37.1296 | 30.4093 | 1.2210 | 0.2369 |
| Month 12 | −29.3079 | 30.7385 | −0.9535 | 0.3528 |
| C4 | −8.0294 | 2.1743 | −3.6928 | 0.0027 |
| sBCMA | −0.0285 | 0.0076 | −3.7340 | 0.0015 |
| sCD40L | 0.0308 | 0.0086 | 3.5974 | 0.0018 |
| #CD4 T cells | 0.4038 | 0.1212 | 3.3317 | 0.0029 |
| #CD8 T cells | −0.4150 | 0.1558 | −2.6639 | 0.0160 |
MODEL FIT: AIC = 384.81, BIC = 400.93 Pseudo-R 2 (fixed effects) = 0.76 Pseudo-R 2 (total) = 0.87. In bold p ≤ 0.050. sBCMA, soluble B cell maturation antigen; sCD40L, soluble CD40 Ligand; C4: complement factor 4; # absolute number of cells.