Table 2:

Association between PSMD and MRI markers of small-vessel disease in subjects with CAA-MCI and non-CAA-MCIa

Model 1bModel 2c
Std. β95% CIPStd. β95% CIP
CAA-MCI (n = 24)
    Lobar CMB count0.15–0.270.58.460.15–0.130.42.28
    cSS0.27–0.150.70.200.12–0.160.40.38
    CSO-PVS score0.31–0.090.71.130.20–0.100.49.18
    nWMHV0.750.491.02<.001d0.660.370.95<.001d
    nTBV–0.26–0.790.26.31–0.17–0.540.20.34
Non-CAA-MCI (n = 62)
    CSO-PVS–0.02–0.240.21.870.10–0.070.27.25
    nWMHV0.690.500.89<.001d0.710.510.91<.001d
    nTBV–0.23–0.510.06.11–0.14–0.360.08.20
  • Note:—Std. β indicates standardized beta coefficient.

  • a Linear regression models with PSMD (×10−4 mm2/s) as the dependent variable.

  • b Simple Linear regression analyses adjusted for age.

  • c Multiple regression models, including all neuroimaging markers and adjusted for age. In subjects with non-CAA-MCI, the presence of cSS and lobar CMB count was automatically excluded from the models due to the absence of variance within the group.

  • d Significant.