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. 2022 Nov 29;52(4):480–486. doi: 10.1159/000527432

Table 1.

Baseline characteristics of the study population and the prevalence of covert vascular brain injury

Characteristics Value
Age, mean (SD), years 54.8 (8.9)
Male, n (%) 380 (36.0)
Body mass index, mean (SD), kg/m2 26.4 (3.8)
Current smoker, n (%) 231 (21.9)
Hypertension, n (%) 484 (45.9)
Diabetes mellitus, n (%) 144 (13.6)
Hyperlipidemia, n (%) 477 (45.2)
Covert vascular brain injury
 Lacunes, n (%) 131 (12.4)
 WMH volume, mL, median (IQR)* 0.7 (0.2, 2.3)
 PVH
  Degree 0 314 (29.8)
  Degree 1 565 (53.6)
  Degree 2 131 (12.4)
  Degree 3 45 (4.3)
 DWMH
  Degree 0 381 (36.1)
  Degree 1 574 (54.4)
  Degree 2 81 (7.7)
  Degree 3 19 (1.8)
 CMB, n (%) 103 (9.8)
 EPVS – BG
  Degree 1 289 (27.5)
  Degree 2 633 (60.2)
  Degree 3 127 (12.1)
  Degree 4 2 (0.2)
 EPVS – WM
  Degree 1 404 (38.4)
  Degree 2 503 (47.9)
  Degree 3 122 (11.6)
  Degree 4 22 (2.1)
 BPF 0.77 (0.03)

WMH, white matter hyperintensity; PVH, periventricular hyperintensity; DWMH, deep white matter hyperintensity; CMB, cerebral microbleed; EPVS, enlarged perivascular space; BG, basal ganglia; WM, white matter; SD, standard deviation; BPF, brain parenchymal fraction.

*

Ninety-eight participants had missing WMH volume due to inadequate image quality for automatic WMH segmentation.

Four participants had missing EPVS scores due to inadequate imaging quality for visual assessment.

Seventy-three participants had missing BPF data due to inadequate image quality for automatic structural segmentation.