Table 5.

Combined results from binary logistic regression models and ROC curve analysis for prediction of subsequent development of AD dementia (MCI-AD)

	p	AIC	AUC	95% CI	Δ AIC with GFAP
GFAP	< 0.0001	148	0.84	0.77–0.91	–
Age	< 0.0001	171	0.73	0.64–0.81	–
APOE ε4 status	< 0.0001	177	0.67	0.58–0.76	–
GFAP and age	< 0.0001	145	0.83	0.76–0.90	−3
GFAP and APOE ε4 status	< 0.0001	140	0.86	0.80–0.93	−8
GFAP, age, and APOE ε4 status	< 0.0001	136	0.86	0.81–0.92	−12

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)