Fig. 4.

Performance of the proteomic biomarker models based on 18 urinary peptides specific for vasculitis. A, ROC analysis of the classification results obtained upon complete cross-validation in the training set consisting of 18 cases and 425 controls. The numerical values of the classification obtained using either linear (lin) combination of the 18 biomarkers (left panel) or the SVM-driven model based on the same 18 biomarkers (right panel) were examined. The 95% confidence interval is indicated by the dashed line. B, performance of the biomarker models in the test set of the 40 blinded samples. Upon unblinding, 10 were found to be AAV patients, 29 harbored other chronic renal diseases, and one sample was from a healthy control (see also Table III).