TABLE 2.

Biomarkers with the best discriminating power between AD and non-AD dementia patients.

	Biomarker	AUC (95% CI)	Sensitivity	Specificity	Total% of predictive accuracy*	z-value**
Lumipulse	Aβ42 + P-tau	0.915 (0.822–1.000)	91.2%	76.2%	85.5%	z = 0.997 vs. Lumipulse Aβ42/40; z = 0.639 vs. Innotest; z = 1.673 vs. Elecsys
	Aβ42/40	0.882 (0.785–0.980)	94.1%	71.4%	85.5%	z = −0.394 vs. Innotest; z = 0.033 vs. Elecsys
Innotest	Aβ42 + P-tau	0.895 (0.801–0.989)	94.1%	76.2%	87.3%	z = 0.544 vs. Elecsys
Elecsys	Aβ42 + P-tau	0.881 (0.774–0.988)	91.1%	72.2%	84.6%

AUC, Area under the curve.

*The percentage of correct classification of AD + correct classification of non-AD/all cases.

**Values of |z| < 1.96 were taken as evidence that the true ROC areas were not different.