Table 6.

Results from logistic regression models examining WMH in the prediction of cerebrovascular neuropathology

	1. Atherosclerosis (n = 31)			2. Arteriolosclerosis (n = 39)			3. Amyloid angiopathy (n = 16)
	B	p	OR (95% CI)	B	p	OR (95% CI)	B	p	OR (95% CI)
Intercept	−7.91	0.15	--	−13.46	0.01	--	−10.19	0.11	--
APOE ε4 carrier	0.30	0.58	1.35 (0.47–3.86)	1.51	0.009	4.54 (1.46–14.11)	1.25	0.07	3.49 (0.89–13.70)
Age at death	0.11	0.014	1.12 (1.02–1.22)	0.12	0.004	1.13 (1.04–1.23)	0.03	0.52	1.03 (0.94–1.13)
Total brain volume	−0.00	0.39	1.00 (0.99–1.00)	0.00	0.41	1.00 (1.00–1.01)	0.00	0.15	1.00 (1.00–1.01)
WMH volume	0.01	0.37	1.01 (0.99–1.03)	0.02	0.21	1.02 (0.99–1.05)	0.04	0.032	1.04 (1.00–1.08)
	4. Microinfarcts (n = 36)			5. Infarcts/lacunes (n = 26)
	B	p	OR (95% CI)	B	p	OR (95% CI)
Intercept	−7.91	0.12	--	−5.47	0.31	--
APOE ε4 carrier	−0.11	0.84	0.90 (0.32–2.53)	−0.07	0.91	0.93 (0.29–2.95)
Age at death	0.07	0.07	1.07 (0.99–1.15)	0.06	0.18	1.06 (0.98–1.15)
Total brain volume	0.00	0.62	1.00 (1.00–1.01)	−0.00	0.71	1.00 (0.99–1.00)
WMH volume	0.03	0.029	1.03 (1.00–1.06)	0.04	0.007	1.04 (1.01–1.08)

Total model fits are as follows: 1. R² = 0.24, AUC = 0.74; 2. R² = 0.26, AUC = 0.75; 3. R² = 0.18, AUC = 0.73; 4. R² = 0.20, AUC = 0.72; 5. R² = 0.26, AUC = 0.77