Risk factors for anxiety and depression in patients with epilepsy and their relationship with quality of life

Figure 1 Predictive performance of the comorbidity risk model. A: The multivariate logistic regression model for predicting comorbid anxiety and depression demonstrated excellent discriminative ability, with an area under the receiver operating characteristic curve of 0.81 (95%CI: 0.72-0.90); B: The calibration curve showed good agreement between predicted and observed probabilities (Hosmer-Lemeshow test P = 0.92); C: Decision curve analysis indicated that the model provided a net clinical benefit across a threshold probability range of 10%-60%. AUC: Area under the receiver operating characteristic curve.