Table 5. Further Multinomial Logistic Regression Models: Additional Variables Significant in Univariate Testing (p<0.05) after Adjustment for Minimum Model Covariates.
Odds Ratios (ORs) | ||||||
---|---|---|---|---|---|---|
Analysis Population (N) | Class 1: Mild | Class 2: Attention/Construction | Class 3: Memory | Class 4: Severe | p-value | |
Male gender | 590 | . | 2.09 | 0.80 | 0.70 | 0.01 |
Frontal gait* | 578 | . | 2.66 | 0.95 | 3.00 | 0.09 |
Frontal release signs - grasp | 580 | . | 0.76 | 1.05 | 3.88 | 0.01 |
Early/ prominent visuospatial impairment* | 510 | . | 2.13 | 0.92 | 2.02 | 0.00 |
White matter changes | 438 | . | 0.72 | 0.39 | 1.16 | 0.02 |
AD with psychotic features | 590 | . | 1.90 | 2.16 | 3.26 | 0.14 |
Current use of medications for AD | 590 | . | 1.29 | 0.69 | 0.62 | 0.14 |
Due to data sparseness, a data-derived prior was applied to stabilize logistic regression model
Odds ratio is odds of class membership relative to Class 1 associated with a one unit increase (continuous variables) or relative to reference value (categorical variables), adjusted for Minimum Model covariates