Table 1.
Binary logistic regression analysis for the presence of baseline lacunes.
| Model 1, OR (p) | Model 2, OR (p) | Model 3, OR (p) | |
|---|---|---|---|
| DMVs score, ±SD | 1.299 (<0.001) | 1.248 (<0.001) | – |
| Brain-CBF, mL/100 g-tissue/min, ±SD | 0.965 (0.012) | 0.977 (0.110) | 0.973 (0.074) |
| WMH-CBF, mL/100 g-tissue/min, ±SD | 0.913 (<0.001) | 0.939 (0.014) | 0.925 (0.004) |
| NAWM-CBF, mL/100 g-tissue/min, ±SD | 0.968 (0.035) | 0.972 (0.086) | 0.965 (0.044) |
| WMH-FA, ×10−3 | 0.993 (0.008) | 0.997 (0.301) | 0.998 (0.505) |
| NAWM-FA, ×10−3 | 0.983 (<0.001) | 0.988 (0.028) | 0.992 (0.167) |
| WMH-MD, ×10−3 mm2/s, ±SD | 21.974 (0.002) | 3.860 (0.232) | 1.680 (0.665) |
| NAWM-MD, ×10−3 mm2/s, ±SD | 167.669 (<0.001) | 12.412 (0.112) | 7.275 (0.249) |
Model 1 included age and diabetes mellitus; Model 2 included age, diabetes mellitus and WMH volume; Model 3 included age, diabetes mellitus, WMH volume and DMVs score.
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.