Table 4: Discriminant indices of Savonix test scores, to detect AD from Normal. Summary of logistic regression for logistic regressions with the predictor tests adjusted education years and ages.
Max/Mix were determined by the AUC values of logistic regression models of1000 of 20 Normal subjects and 21 AD subjects. AUC: Area Under the Receiver Operating Characteristic Curve. CI: Confidence Interval. PPV: Positive Predictive Values. NPV: Negative Predictive Values. B: regression coefficients. SD: Standard Deviations for the regression coefficients. Wald Chisq: Wald Chi square statistics. P value: P values for Wald Chi square statistics. Selected 2 subtests: Trail Making 2; Maze 2: and Complex Figure.
Savonix Test composites | AUC (95% CI) | Sensitivity | Specificity | PPV | NPV | B | | SD | Wald Chisq | P value |
11 Subtests total score |
Max | 0.988 | 1 | 0.95 | 0.955 | 1 | Test score | -1.107 | 0.47 | 5.563 | p<0.05 |
(0.967-1) | | | | | Education | 0.972 | 0.539 | 3.25 | p =0.071 n.s. |
| | | | | Age | 0.287 | 0.144 | 3.944 | p<0.05 |
Min | 0.921 | 0.857 | 0.95 | 0.947 | 0.864 | Test score | -1.371 | 0.47 | 8.51 | p<0.01 |
(0.831-1) | | | | | Education | 0.143 | 0.172 | 0.689 | p = 0.406 n.s. |
| | | | | Age | 0.136 | 0.066 | 4.203 | p < 0.05 |
Selected 2 subtests total score |
Max | 0.995 | 1 | 0.95 | 0.955 | 1 | Test score | -7.538 | 2.893 | 6.787 | p < 0.01 |
(0.984-1) | | | | | Education | 0.25 | 0.343 | 0.532 | p = 0.466 n.s. |
| | | | | Age | 0.326 | 0.192 | 2.881 | p = 0.090 n.s. |
Min | 0.902 | 0.81 | 0.8 | 0.81 | 0.8 | Test score | -4.035 | 1.355 | 8.874 | p < 0.01 |
(0.814-0.99) | | | | | Education | 0.211 | 0.184 | 1.311 | p = 0.252 n.s. |
| | | | | Age | 0.068 | 0.076 | 0.796 | p = 0.372 n.s. |