TABLE 4.

Statistical comparison between the ROC curves of VARABOM test and MOCA-K test.

Test	Sensitivity	Specificity	AUC	SE	95% C	p	Optimal cut-off value (Youden’s J Index)
VARABOM test	0.833	0.722	0.765	0.083	0.6–0.93	0.003	31.5 (0.555)
MOCA-K	0.25	0.963	0.598	0.098	0.41–0.79	0.265	17.5 (0.213)

ROC curve, receiver operating characteristic curve; VARABOM, virtual reality-based MCI monitoring; MOCA-K, Montreal Cognitive Assessment-Korean version; AUC, area under the curve; SE, standard error; CI, confidence interval.