Table 5.

Assessment of discriminatory capacity of basal clinical model improved with biomarkers found significant in regression analysis, for functional dependence

Models tested	AUC (95% CI)	P*
Clinical model#	0.843 (0.766, 0.920)	-
+PDGF-AA	0.864 (0.798, 0.929)	0.290
+PDGF-AB	0.863 (0.797, 0.929)	0.285
+BDNF	0.861 (0.795, 0.928)	0.288
+RANTES	0.853 (0.782, 0.924)	0.459

^#Model with known clinical predictors for mRS: age, gender, stroke history, leucoaraiosis, NIHSS on admission, and TOAST subtype; ⁺clinical model after addition of individual biomarkers; *the estimated significance level obtained from the DeLong test for comparison between ROC curves associated with clinical basal model and the model obtained by adding biomarkers with significant predictor effect. AUC=Area under the ROC curve, 95% CI=95% confidence interval for AUC, PDGF=platelet-derived growth factor, BDNF=brain-derived neurotrophic factor, RANTES=Regulated on Activation, Normal T Cell Expressed and Secreted