To this end, we used Conditional Inference Trees to identify slow (Mayo Clinic Imaging Classes1A–1B) and fast (Mayo Clinic Imaging Classes1C–1E) ADPKD progressors and obtained a highly sensitive model with cut-off levels of uEGF/MCP1 according to age. This evidence concerns the gene CCL2 and autosomal dominant polycystic kidney disease.