TABLE 7

Diagnostic performance of the models derived from the training cohort and applied to the validation cohort (n=137)

	AUC (95% CI)	Threshold	Sensitivity (95% CI)	Specificity (95% CI)	NPV	PPV
Model 1	0.61 (0.52–0.71)	0.55	0.69 (0.50–0.80)	0.54 (0.36–0.68)	0.55	0.67
Model 2	0.70 (0.61–0.77)	0.46	0.86 (0.57–0.95)	0.46 (0.28–0.58)	0.70	0.69
Model 3	0.67 (0.58–0.76)	0.71	0.45 (0.22–0.59)	0.86 (0.68–0.93)	0.53	0.82
Model 4	0.61 (0.51–0.71)	0.57	0.64 (0.35–0.76)	0.61 (0.37–0.72)	0.57	0.68
Model 5	0.70 (0.62–0.79)	0.71	0.42 (0.22–0.54)	0.89 (0.70–0.98)	0.52	0.85
Model 6	0.71 (0.61–0.80)	0.37	0.88 (0.65–0.97)	0.42 (0.24–0.54)	0.74	0.66
Model 7	0.70 (0.61–0.79)	0.64	0.55 (0.33–0.68)	0.83 (0.54–0.92)	0.59	0.81
Model 8^#	0.73 (0.65–0.82)	0.70	0.52 (0.21–0.64)	0.91 (0.63–0.96)	0.60	0.88

AUC: area under the curve; NPV: negative predictive value; PPV: positive predictive value. ^#: best performing model.