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. 2022 May 12;16:888198. doi: 10.3389/fnins.2022.888198

TABLE 4.

The multivariate linear regression analysis of associations between SVD markers and hematoma volume adjusted for age and male sex.

Total cohort
Lobar ICH
Non-lobar ICH
β 95% CI p-value β 95% CI p-value β 95% CI p-value
Model 1: individual SVD markers*
Hypertension −0.075 −0.339 to 0.188 0.573 −0.101 −0.479 to 0.276 0.592 −0.168 −0.311 to 0.159 0.358
Lobar ICH 0.482 0.268 to 0.696 <0.001
WMH Fazekas score −0.014 −0.076 to 0.047 0.647 −0.025 −0.116 to 0.066 0.585 −0.007 −0.091 to −0.077 0.867
Presence of lacune −0.173 −0.372 to 0.027 0.090 0.002 −0.370 to 0.375 0.990 −0.245 −0.487 to −0.004 0.046
CMB ≥ 5 −0.136 −0.347 to −0.074 0.203 −0.039 −0.404 to 0.325 0.829 −0.212 −0.473 to 0.049 0.110
Presence of cSS 0.289 −0.059 to −0.637 0.102 0.317 −0.049 to 0.683 0.088 0.127 −1.127 to 1.381 0.841
Model 2: global SVD score*
Hypertension −0.089 −0.349 to 0.170 0.498 −0.098 −0.466 to 0.270 0.595 −0.187 −0.539 to 5.16 0.431
Lobar ICH 0.477 0.265 to 0.690 <0.001
Presence of cSS 0.274 −0.070 to 0.618 0.117 0.332 −0.017 to −0.680 0.062 −0.031 −1.270 to 1.209 0.961
Global SVD score −0.084 −0.142 to −0.025 0.005 −0.029 −0.122 to 0.065 0.540 −0.112 −0.186 to −0.037 0.004

* Adjusted for age and male sex. Dependent variable was base-10 log-transformed hematoma volume. β, regression coefficient; CI, confidence interval; cSS, cortical superficial siderosis; CMB, cerebral microbleed; ICH, intracerebral hemorrhage; SVD, small vessel disease; WMH, white matter hyperintensity.