Table 2.
Cut-off* | Sensitivity | Specificity | PPV | NPV | Accuracy |
---|---|---|---|---|---|
MMSE | |||||
25 | 0.288 | 0.947 | 0.905 | 0.434 | 0.529 |
26 | 0.545 | 0.947 | 0.947 | 0.545 | 0.692 |
27† | 0.682 | 0.816 | 0.865 | 0.596 | 0.731 |
28 | 0.773 | 0.632 | 0.785 | 0.615 | 0.721 |
29 | 0.955 | 0.316 | 0.708 | 0.800 | 0.721 |
MoCA | |||||
19 | 0.485 | 1.000 | 1.000 | 0.528 | 0.673 |
20 | 0.515 | 0.974 | 0.971 | 0.536 | 0.683 |
21† | 0.636 | 0.895 | 0.913 | 0.586 | 0.731 |
22 | 0.712 | 0.737 | 0.825 | 0.596 | 0.721 |
23 | 0.742 | 0.684 | 0.803 | 0.605 | 0.721 |
PPV, positive predictive value; NPV, negative predictive value. *Positive test when score ≤ cut-off; †optimal cut-off score calculated using the Youden index.