Table 3.
ROC analysis of MMSE and MES
| Index | ROC area under the curve | 95% Confidence Interval | Cut-off | Sensitivity (%) | Specificity (%) | Correct classification rate(%) | |
|---|---|---|---|---|---|---|---|
| NC vs aMCI-sd |
MMSET |
.669 |
.606–.732 |
≤27 |
67.7 |
61.2 |
65.2 |
| |
MEST |
.893 |
.858–.928 |
≤75 |
79.5 |
82.8 |
80.8 |
| NC vs aMCI-md |
MMSET |
.715 |
.663–.767 |
≤27 |
67.7 |
70.0 |
68.9 |
| |
MEST |
.956 |
.938–.974 |
≤72 |
87.8 |
91.3 |
89.5 |
| NC vs AD |
MMSET |
.985 |
.976–.994 |
≤24 |
91.8 |
98.2 |
95.3 |
| MEST | .998 | .996–1.000 | ≤62 | 99.0 | 97.8 | 98.4 |