Recurrence and Treatment after Renal Transplantation in Children with FSGS

Figure 1

Validation of the FAST Ab panel in rFSGS and the predictive accuracy of the subsets of this panel. ROC analysis for three fitted logistic regression models. The outcome was recurrence versus nonrecurrence of FSGS, and the independent predictors were the log-transformed relative fluorescent signal values of seven Abs: CD40, PTPRO, FAS, CGB5, SNRPB2, APOL2, and P2RY11. The three logistic regression models fitted are shown. Model 1 used the FAST (FSGS antibody serological test) panel with all seven Abs, resulting in an AUC = 0.9. Model 2 used three Abs (CD40, PTPRO, and CGB5), and its ROC curve had an AUC of 0.82. Model 3 used only CD40 Ab data for the ROC analysis, resulting in an AUC of 0.77. Reproduced with permission from The American Association for the Advancement of Science © 2014 (AAAS), Delville et al. [45].