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. 2019 Oct 16;40(9):1797–1805. doi: 10.1177/0271678X19882918

Table 3.

Binary logistic regression analysis for the presence of new lacunes.

  Adjusting for female, OR (p) Adjusting for DMVs score, odds ratio (p)
DMVs score, ±SD 1.569 (<0.001) 1.350 (0.001)
WMH volume, mL, ±SD 1.025 (0.047) 1.002 (0.905)
Brain-CBF, mL/100 g-tissue/min, ±SD 1.019 (0.542) 0.985 (0.590)
WMH-CBF, mL/100 g-tissue/min, ±SD 1.019 (0.713) 0.986 (0.744)
NAWM-CBF, mL/100 g-tissue/min, ±SD 1.048 (0.187) 1.003 (0.929)
WMH-FA, ×10−3 0.991 (0.305) 0.993 (0.453)
NAWM-FA, ×10−3 0.979 (0.007) 0.996 (0.670)
WMH-MD, ×10−3 mm2/s, ±SD 109.743 (0.066) 6.578 (0.461)
NAWM-MD, ×10−3 mm2/s, ±SD 2778.736 (0.012) 92.937 (0.150)

DMVs: deep medullary veins; CBF: cerebral blood fluid; WMH: white matter hyperintensity; NAWM: normal appearing white matter; FA: fractional anisotropy; MD: mean diffusivity; OR: odds ratio.