Table 5: Discriminant indices of Savonix test scores, to detect AD or 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 of1000 of 50 Normal subjects and 49 MCI-or-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.
Savonix Test composite | AUC (95% CI) | Sensitivity | Specificity | PPV | NPV | B | | SD | Wald Chisq | p |
11 Subtests total score |
Max | 0.949 | 0.878 | 0.98 | 0.977 | 0.891 | Test score | -2.561 | 0.653 | 15.375 | p < 0.0001 |
(0.907-0.992) | | | | | Education | 0.029 | 0.134 | 0.047 | p = 0.828 n.s. |
| | | | | Age | 0.082 | 0.047 | 3.02 | p = 0.082 n.s. |
Min | 0.825 | 0.653 | 0.96 | 0.941 | 0.738 | Test score | -0.554 | 0.207 | 7.167 | p<0.01 |
(0.742-0.908) | | | | | Education | 0.111 | 0.086 | 1.656 | p = 0.198 n.s. |
| | | | | Age | 0.134 | 0.041 | 10.726 | p < 0.01 |