Table 3.

Stepwise Logistic Regression Models Predicting Diagnostic Stability of Mild Cognitive Impairment (MCI)

Domain-Level Regression Models	Odds Ratio	(95% Confidence Interval)	P	Hosmer-Lemeshow P*	Area Under the Curve†
Demographic factors				0.81	0.67
ApoE4 alleles			< 0.001
0 versus 2	4.03	(2.38, 6.82)
0 versus 1	1.84	(1.37, 2.39)
Age (years)	0.96	(0.94, 0.98)	< 0.001
Nonamnestic MCI subtype	1.84	(1.21, 2.80)	0.003
No depression	1.63	(1.19, 2.24)	0.005
Education (years)	0.96	(0.91, 1.00)	0.012
Global function				0.40	0.76
Clinical Dementia Rating Scale−Sum of Boxes	0.57	(0.49, 0.67)	< 0.001
Mini-Mental State Examination	1.32	(1.22, 1.42)	< 0.001
Functional Activities Questionnaire	0.95	(0.91, 0.98)	< 0.01
Neuropsychological performance				0.18	0.75
Logical Memory Delayed Recall	1.20	(1.15, 1.24)	< 0.001
Vegetable fluency	1.11	(1.06, 1.16)	< 0.001
Digit Symbol	1.04	(1.02, 1.05)	< 0.001
Overall regression model				0.32	0.80
Logical Memory Delayed Recall	1.69	(1.43, 1.99)	< 0.001
Clinical Dementia Rating Scale−Sum of Boxes	0.54	(0.46, 0.64)	< 0.001
Mini-Mental State Examination	1.16	(1.05, 1.28)	< 0.001
Age (years)	0.95	(0.93, 0.98)	< 0.01
ApoE4 alleles			< 0.01
0 versus 2	2.83	(1.52, 5.26)
0 versus 1	1.82	(1.48, 3.37)
Digit Symbol	1.30	(1.09, 1.56)	< 0.01

For details on the neuropsychological tests, see Weintraub et al, 2009.

^*Values > 0.05 indicate sufficient model fit (Tabachnik and Fidell, 1996).

^†Values of 0.50 and 1.00 indicate poor and perfect prediction, respectively (Tabachnik and Fidell, 1996).

ApoE4 = apolipoprotein E4.