TABLE 2.
Screening of independent predictive factors.
Variable | Univariate logistic regression | Multivariate logistic regression | ||
---|---|---|---|---|
OR (95% CI) | p‐Value | OR (95% CI) | p‐Value | |
Age (year) | 1.045 (0.991, 1.100) | 0.099 | NA | NA |
Sex | 0.948 (0.431, 2.087) | 0.895 | NA | NA |
Educyrs | 0.967 (0.848, 1.103) | 0.618 | NA | NA |
Symptom1 | 2.947 (0.900, 9.648) | 0.074 | 2.908 (0.892, 13.136) | 0.108 |
Symptom2 | 1.478 (0.580, 3.767) | 0.413 | NA | NA |
Symptom3 | 0.791 (0.285, 2.199) | 0.653 | NA | NA |
Symptom4 | 1.249 (0.366, 4.258) | 0.723 | NA | NA |
Symptom5 | 0.618 (0.212, 1.805) | 0.379 | NA | NA |
Hy | 1.275 (0.601, 2.704) | 0.527 | NA | NA |
ESS | 0.480 (0.151,1.529) | 0.215 | NA | NA |
GDS | 0.971 (0.253, 3.730) | 0.966 | NA | NA |
RBD | 1.688 (0.807, 3.531) | 0.164 | NA | NA |
MoCA | 0.697 (0.516, 0.944) | 0.020* | 0.627 (0.439, 0.876) | 0.008** |
Radiomics model | 2.252 (1.518, 3.342) | <0.001*** | 2.166 (1.565, 2.998) | <0.001*** |
Note: NA, not available because the variable is not included in multiple variables. The p value indicates whether the variable is an independent predictor of PD‐MCI.
p < 0.05.
p < 0.01.
p < 0.001.