Fig. 2

Prediction model performance and internal validation for GI lesions in patients with EGPA. (A) Nomogram predicting the probability of GI lesions in patients with EGPA. Points for weight loss, CNS lesions, myalgia, and Eos infiltration can be acquired using a point caliper and then summed to obtain a total score. (B) Calibration curve of GI lesions prediction model was obtained by comparing the observed and predicted risk of GI lesions in patients with EGPA. (C) Receiver operating characteristic curve of the GI lesions prediction model. AUC: area under the curve; CNS, central nervous system; EGPA, eosinophilic granulomatosis with polyangiitis; Eos_infiltration, eosinophilic tissue infiltration (detected in any organs); GI, gastrointestinal