Table 4.

Logistic regression (mIIS subcomponent) ~ age of death + (RHI vs. non-RHI controls)

	RHI-AF vs. non-RHI controls (n = 158)
	Beta	SE	Wald χ2	p-value	Odds Ratio	95% CI
Infarct/lacune (n = 157)	− 0.09	0.37	0.06	0.91	0.91	0.44–1.90
Microinfarct (n = 157)	− 0.45	0.35	1.67	0.45	0.64	0.33–1.26
Atherosclerosis (n = 156)	0.14	0.38	0.14	0.91	1.15	0.55–2.44
White matter rarefaction (n = 156)	1.42	0.36	15.26	0.005	4.13	2.03–8.43
Arteriolosclerosis (n = 156)	0.63	0.39	2.68	0.30	1.88	0.88–4.00
Cerebral amyloid angiopathy (n = 156)	− 0.10	0.35	0.08	0.91	0.91	0.46–1.80
Cerebral microbleeds (n = 157)	− 0.53	0.77	0.48	0.90	0.59	0.13–2.64
Hippocampal sclerosis (n = 157)	2.01	0.52	14.87	0.005	7.48	2.69–20.81
Laminar necrosis (n = 157)	− 18.43	4480.42	0.00	1.00	0.00	0.00
RHI-CCS vs. non-RHI controls (n = 98)
Infarct/lacune (n = 96)	− 0.06	0.50	0.01	1.00	0.94	0.35–2.54
Microinfarct (n = 96)	− 0.58	0.46	1.60	0.38	0.56	0.23–1.38
Atherosclerosis (n = 95)	1.03	0.53	3.75	0.16	2.81	0.99–8.00
White matter rarefaction (n = 95)	1.93	0.55	12.35	0.005	6.88	2.35–20.17
Arteriolosclerosis (n = 96)	− 0.08	0.45	0.03	1.00	0.93	0.38–2.24
Cerebral amyloid angiopathy (n = 96)	− 0.77	0.48	2.59	0.25	0.46	0.18–1.18
Cerebral microbleeds (n = 96)	− 1.34	1.15	1.35	0.38	0.26	0.03–2.51
Hippocampal sclerosis (n = 94)	2.19	0.65	11.29	0.005	8.94	2.49–32.10
Laminar necrosis (n = 96)	− 18.28	5248.04	0.00	1.00	0.00	0.00

Logistic regression model with RHI (RHI-AF or RHI-CCS) versus non-RHI controls as the predictor and each mIIS component as the outcome, controlling for age of death. Each mIIS component was dichotomized to none-mild (0) or moderate to severe (1); hippocampal sclerosis was dichotomized to none-unilaterally present (0) and at minimum, unilateral (laterality not assessed), or bilateral (1). Ns denote number of participants with data for specific variable. All p values are FDR corrected.

SE = standard error, CI = confidence interval, χ² = Chi-square