Characteristics | Univariate Logistic Regression | Lasso regression | Multivariate Logistic Regression | ||
---|---|---|---|---|---|
p | OR(95%CI) | Coefficient | p | OR(95%CI) | |
Gender | 0.548 | 1.083(0.834,1.405) | 0 | ||
Age | 0.031 | 1.015(1.001,1.028) | 0 | ||
Duration | p < 0.001 | 1.018(1.015,1.021) | 0.004 | 0.041 | 1.004 (1.000,1.008) |
Onset | 0.014 | 0.984(0.971,0.997) | -0.010 | 0.087 | 0.985 (0.967,1.002) |
LEDD | p < 0.001 | 1.003(1.003,1.004) | 0.002 | p < 0.001 | 1.002(1.002,1.003) |
UPDRS I | p < 0.001 | 1.252(1.177,1.333) | -0.025 | 0.102 | 0.929 (0.850,1.015) |
UPDRS II | p < 0.001 | 1.153(1.127,1.180) | 0.089 | p < 0.001 | 1.106 (1.066,1.147) |
UPDRS III | p < 0.001 | 1.061(1.050,1.073) | 0.012 | 0.092 | 1.016 (0.997,1.035) |
H-Y | p < 0.001 | 2.847(2.374,3.441) | 0 | ||
MMSE | p < 0.001 | 0.938(0.912,0.964) | -0.004 | 0.484 | 0.986 (0.947,1.026) |
MoCA | 0.056 | 1.014(0.999,1.029) | -0.016 | 0.024 | 0.975 (0.954,0.997) |
NMSQ | p < 0.001 | 1.193(1.160,1.229) | 0 | ||
Urgency | p < 0.001 | 6.119(4.646,8.095) | 0.926 | p < 0.001 | 2.763 (1.937,3.942) |
Frequency | p < 0.001 | 8.416(6.326,11.248) | 1.292 | p < 0.001 | 3.959 (2.780,5.636) |
Nocturia | p < 0.001 | 4.458(3.392,5.894) | 0.489 | 0.002 | 1.766 (1.241,2.514) |