Table 3: Discriminant indices of Savonix test scores, to detect MCI 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 of 1000 randomly down-sampled 30 Normal subjects (out of 265) and 28 MCI 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 3 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 | 0.933 | 0.857 | 0.933 | 0.923 | 0.875 | Test score | -2.08 | 0.691 | 9.066 | p <0.01 |
(0.872-0.994) | | | | | Education | 0.135 | 0.151 | 0.792 | p = 0.374 n.s. |
| | | | | Age | 0.123 | 0.063 | 3.858 | p < 0.05 |
Min | 0.758 | 0.821 | 0.633 | 0.676 | 0.792 | Test score | -0.894 | 0.430 | 4.312 | p<0.05 |
(0.633-0.883) | | | | | Education | 0.041 | 0.098 | 0.177 | p = 0.674 n.s. |
| | | | | Age | 0.050 | 0.048 | 1.046 | p = 0.306 n.s. |
Selected 3 subtests total score |
Max | 0.917 | 0.929 | 0.8 | 0.813 | 0.923 | Test score | -4.175 | 1.437 | 8,453 | p < 0.01 |
(0.847-0.987) | | | | | Education | 0.17 | 0.145 | 1.36 | p = 0.244 n.s. |
| | | | | Age | 0.128 | 0.062 | 4.219 | p < 0.05 |
Min | 0.745 | 0.679 | 0.733 | 0.704 | 0.710 | Test score | -1.659 | 0.809 | 4.197 | p < 0.05 |
(0.618-0.873) | | | | | Education | -0.014 | 0.098 | 0.021 | p = 0.884 n.s. |
| | | | | Age | 0.073 | 0.048 | 2.312 | p = 0.128 n.s. |