Table 5.

Predictive values of different AQ and SRS-A cut-off scores

	Cut-off	AUC	Sensitivity	Specificity	PPV | FP	NPV | FN	ACC
AQ	26	.778	.76	.72	86% | 14%	58% | 42%	75%
	32		.41	.90	90% | 10%	41% | 59%
SRS-A	54		.89	.31	74% | 26%	56% | 44%
	81	.684	.63	.72	83% | 17%	48% | 52%	66%

The optimal cut-off point (indicated in boldface) is the score that maximizes the sum of sensitivity and specificity

AUC area under the curve, FN false negative, FP false positive, PPV positive predictive value (correctly classified patients with ASD), NPV negative predictive value (correctly classified patients without ASD)