Construction of a risk prediction model of diquat poisoning based on clinical indicators

< .05) between the survival and death groups. The GLM-based risk assessment model demonstrated high predictive accuracy, with an area under the ROC curve (AUC) of 0.97 (SE 0.017, 95% CI 0.939-1.001), indicating potent prognostic capability. The Wilcoxon test revealed that ODD, Myo, SIDP, aspartate transferase (AST), creatine kinase (CK), hemoglobin (Hb), cardiac troponin (cTnT), and serum creatinine (Cr) levels were significantly higher in the high-risk group. The clinical risk assessment model effectively predicts the prognosis of patients with DQ poisoning, aiding clinicians in personalizing treatment strategies to improve patient outcomes.