Table 4.

Combined results from binary logistic regression models and ROC curve analysis for prediction of Aβ42/T-tau-positive status

	p	AIC	AUC	95% CI	Δ AIC with GFAP
GFAP	< 0.0001	172	0.80	0.73–0.87	–
Age	< 0.0001	209	0.64	0.55–0.73	–
APOE ε4 status	< 0.0001	196	0.68	0.59–0.76	–
GFAP and age	< 0.0001	174	0.80	0.73–0.87	2
GFAP and APOE ε4 status	< 0.0001	157	0.84	0.78–0.91	−15
GFAP, age, and APOE ε4 status	< 0.0001	159	0.84	0.78–0.91	−13

Aβ42/T-tau-positive status was defined as CSF Aβ42/T-tau < 7.3. AIC Akaike information criterion, AUC area under the curve, 95% CI 95% confidence intervals, Δ AIC difference in AIC (AIC of GFAP used as reference)