Table 2.
Results of multivariate analysis for forecasters of renal flare
| p-values |
||||
|---|---|---|---|---|
|
Main effector analysis |
Interaction analysis |
|||
| Predictors for identification of forecasters | Initial univariate analysis | Final multivariate analysis | Final multivariate analysis | Pro-flare effect of individual RF forecaster |
| C3 | 0.016 | 0.691 | 0.619 | |
| C4 | 0.002 | <0.001 | 0.002 | lower C4 levels |
| ESR | 0.013 | 0.029 | 0.005 | higher ESR levels |
| CRP | 0.895 | – | 0.014 * | |
| Age | 0.022 | 0.009 | 0.012 | younger age |
| C3 carrier | 0.637 | – | <0.001 * | |
| FH genotype | 0.198 | 0.665 | 0.840 | |
| CRP4 carrier | 0.015 | 0.004 | 0.004 | 1846GG (WT) |
| C3 × C3 carrier | 0.410 | |||
| C3 × FH genotype | 0.879 | |||
| C3 × CRP4 carrier | 0.133 | |||
| CRP × C3 carrier | 0.013 | |||
| CRP × FH genotype | 0.399 | |||
| CRP × CRP4 carrier | 0.125 | |||
*
CRP and C3 carrier are significant only through their interactions. Specifically, lower CRP levels are associated with flare only in C3 F carriers.
RF, renal flare; ESR, erythrocyte sedimentation rate; CRP, C-reactive protein; FH, factor H; WT, wildtype.