Table 2: Discriminant indices of Savonix test, MMSE, ADAS-Cog, and CDR Sum of Boxes (CDRSB) to detect AD from MCI. Summary of logistic regression for logistic regressions with the predictor tests adjusted education years.
*: MMSE was used for diagnosis. 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 1; Trail Making 2: and Complex Figure.
Tests AUC (95% CI) Sensitivity Specificity PPV NPV B SD Wald Chisq P value
Savonix 11 subtests total score 0.866 0.810 0.857 0.810 0.857 Test score -1.27358 0.39176 10.5685 p<0.01
(0.760-0.972) Education 0.071 0.112 0.396 p = 0.529 n.s.
Savonix Selected 3 subtest total score 0.855 0.714 0.929 0.882 0.813 Test score -2.39999 0.7702 9.784 p<0.01
(0.744-0.938) Education 0.109 0.112 0.961 p = 0.327 n.s.
MMSE* 0.991 0.952 1 1 0.966 Test score -2.567 1.1193 5.2601 p<0.05
(0.971-1) Education 0.242 0.353 0.469 p = 0.469 n.s.
ADAS-Cog 0.841 0.750 0.821 0.750 0.821 Test score 0.206 0.064 10.492 p<0.01
(0.722-0.9601) Education 0.107 0.120 0.798 p = 0.372 n.s.
CDRSB 0.832 0.900 0.643 0.643 0.900 Test score 0.935 0.354 6.993 p<0.01
(0.721-0.944) Education 0.213 0.354 2.864 p = 0.091 n.s.