Table 3.

Associations between mean number of DMVs and MRI markers of cerebral small vessel disease.^a

	WMH volumeb (mm3)		Lacunes		CMBs		Severe PVS-BGc		Severe PVS-WMc		BPFd (%)
Variable	β (95% CI)	P	OR (95% CI)	P	OR (95% CI)	P	OR (95% CI)	P	OR (95% CI)	P	β (95% CI)	P
Model 1e	−0.10 (−0.16, −0.04)	0.003	0.85 (0.77, 0.94)	0.001	0.97 (0.86, 1.08)	0.560	1.07 (0.96, 1.19)	0.195	1.04 (0.94, 1.15)	0.461	0.32 (0.20, 0.44)	<0.001
Model 2f	−0.04 (−0.10, 0.02)	0.167	0.90 (0.82, 1.00)	0.047	1.02 (0.91, 1.15)	0.697	1.11 (1.00, 1.23)	0.057	1.07 (0.96, 1.18)	0.212	0.23 (0.13, 0.33)	<0.001
Model 3g	−0.03 (−0.09, 0.03)	0.359	0.92 (0.82, 1.03)	0.159	1.02 (0.89, 1.16)	0.814	1.13 (1.00, 1.27)	0.057	1.08 (0.97, 1.22)	0.171	0.21 (0.13, 0.29)	<0.001

BPF: brain parenchymal fraction; CI: confidence interval; CMB: cerebral microbleed; DMV: deep medullary vein; MRI: magnetic resonance imaging; OR: odds ratio; PVS-BG: perivascular space in basal ganglia; PVS-WM: perivascular space in white matter; WMH: white matter hyperintensity.

^aIn both the general linear and logistic regression models, the markers of cerebral vessel disease were treated as dependent variables, and the number of deep medullary veins was treated as independent variable. The OR and β were calculated based on per one deep medullary vein increase.

^bWMH volume was natural log transformed and had 132 missing data.

^cPerivascular space had three missing data.

^dBPF had 64 missing data.

^eModel 1 is univariate.

^fModel 2 is adjusted for age and sex.

^gModel 3 is adjusted for age, sex, hypertension, current smoker status, diabetes mellitus status.