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. 2020 Jun 15;75(4):1191–1201. doi: 10.3233/JAD-191191

Table 2.

ROC analysis for identifying MCI using MMSE, CDT, and AQT in the training and validation samples

Total number of tests Training sample (n = 326) Validation sample (n = 140)
Cut-off* Sensitivity (%) Specificity (%) Youden index Sensitivity (%) Specificity (%) Youden index
1 MMSE< 28 59.1 79.3 0.38 72.7 60.3 0.33
1 AQT > 83 s 54.7 73.8 0.28 68.8 49.2 0.18
1 CDT < 4 p 33.7 85.5 0.19 35.1 85.7 0.21
2 MMSE < 28 AND AQT > 52 58.0 80.7 0.39 40.3 87.3 0.28
2 MMSE < 27 OR AQT > 91 65.8 79.3 0.45 55.8 77.8 0.34
2 MMSE < 30 AND CDT < 5 48.6 75.2 0.24 42.9 82.5 0.25
2 MMSE < 28 OR CDT < 4 69.6 70.3 0.40 63.6 68.2 0.32
3 MMSE < 27 OR AQT > 91 OR CDT< 2 66.3 79.3 0.46 57.1 77.8 0.35

*Cut-offs were established in the training sample according to the highest Youden index and tested in the validation sample. MMSE, Mini-Mental State Examination; AQT, A Quick Test of Cognitive Speed; CDT, Clock Drawing Test.