Table 3.

Diagnostic performance of Nomogram model in the training, testing, and validation sets.

	AUC (95%CI)	Accuracy	Sensitivity (95%CI)	Specificity (95%CI)	PPV (95%CI)	NPV (95%CI)
Training set	0.801 (0.698, 0.905)	0.761	0.786 (0.590, 0.917)	0.756 (0.682, 0.821)	0.361 (0.242, 0.494)	0.953 (0.900, 0.982)
Testing set	0.664 (0.475, 0.853)	0.702	0.667 (0.299, 0.925)	0.711 (0.541, 0.846)	0.353 (0.142, 0.617)	0. 900 (0.735, 0.979)
Validation set	0.832 (0.724, 0.941)	0.610	0.889 (0.518, 0.997)	0.583 (0.478, 0.683)	0.167 (0.075, 0.302)	0.982 (0.906, 1.000)

AUC, area under the receiver operating characteristic curve; PPV, positive predictive value; NPV, negative predictive value.