Table 5. AUC-ROC, bootstrap AUC-ROC, and diagnostic accuracy in the multivariable logistic regression of model 1 and model 2.

	AUC-ROC	95%CI	Bootstrap AUC-ROC	95% CI	Optimism	Accuracy	Sensitivity	Specificity
Model 1	0.748	0.665-0.831	0.748	0.666–0.830	0.592	0.779	0.837	0.596
Model 2	0.841	0.776-0.906	0.840	0.775–0.905	0.658	0.772	0.786	0.745

Bootstrap repetitions with 1,000 times. AUC, areas under the curve; ROC, receiver operating characteristic curve; CI, confidence interval.