Skip to main content
. 2018 May 2;9:284. doi: 10.3389/fneur.2018.00284

Table 2.

Multivariable binary logistic regression analysis of risk factors for small vessel disease.

Age
Male
Diabetes mellitus
Hypertension
CKD
OR p-Value OR p-Value OR p-Value OR p-Value OR p-Value
WMH, overall 1.060 (1.024–1.098) 0.001 3.457 (1.241–9.630) 0.018 1.373 (0.489–3.853) n.s. 1.186 (0.262–5.367) n.s. 1.695 (0.869–3.303) n.s.
WMH, periventricular 1.052 (1.018–1.088) 0.002 3.847 (1.419–10.426) 0.008 1.148 (0.419–3.146) n.s. 1.179 (0.264–5.268) n.s. 1.480 (0.781–2.806) n.s.
WMH, deep 1.059 (1.026–1.092) <0.001 2.746 (1.213–6.219) 0.015 0.787 (0.317–1.950) n.s. 0.989 (0.208–4.702) n.s. 1.848 (1.022–3.343) 0.042
EPVS, overall 1.044 (1.001–1.088) 0.044 2.543 (0.643–10.052) n.s. 0.909 (0.226–3.659) n.s. n.s. 0.771 (0.346–1.717) n.s.
EPVS, centrum semiovale 1.055 (1.022–1.088) 0.001 1.026 (0.449–2.343) n.s. 0.730 (0.280–1.899) n.s. 1.352 (0.329–5.559) n.s. 1.411 (0.777–2.565) n.s.
EPVS, basal ganglia 1.049 (1.008–1.092) 0.018 2.125 (0.611–7.394) n.s. 0.789 (0.199–3.128) n.s. n.s. 0.938 (0.433–2.032) n.s.
CMB, overall 1.027 (0.998–1.058) 0.071 1.247 (0.572–2.718) n.s. 0.806 (0.337–1.927) n.s. 0.913 (0.204–4.087) n.s. 2.628 (1.462–4.724) 0.001
CMB, lobar 1.024 (0.991–1.057) n.s. 1.953 (0.838–4.555) n.s. 1.656 (0.618–4.442) n.s. 1.369 (0.242–7.741) n.s. 2.106 (1.119–3.963) 0.021
CMB, deep 1.023 (0.994–1.053) n.s. 0.948 (0.437–2.056) n.s. 0.858 (0.362–2.037) n.s. 0.545 (0.103–2.876) n.s. 2.237 (1.263–3.960) 0.006
Lacune, overall 1.011 (0.981–1.043) n.s. 0.819 (0.360–1.866) n.s. 0.648 (0.272–1.543) n.s. 1.978 (0.483–8.091) n.s. 1.063 (0.590–1.913) n.s.
Lacune, lobar 1.012 (0.976–1.049) n.s. 1.066 (0.415–2.742) n.s. 0.744 (0.275–2.011) n.s. 1.430 (0.259–7.903) n.s. 1.258 (0.637–2.482) n.s.
Lacune, deep 0.996 (0.952–1.043) n.s. 0.617 (0.160–2.382) n.s. 0.507 (0.137–1.873) n.s. n.s. 0.916 (0.374–2.244) n.s.

CKD, chronic kidney disease; WMH, white matter hyperintensity; EPVS, enlarged perivascular spaces; CMB, cerebral microbleed.