TABLE 3.

Discrimination ability of TyM-I in detecting MCI for different age and educational levels.

Age	Education	HCs/MCI	Cut off	Specificity (95% CI)	Sensitivity (95% CI)	AUC (95% CI)	LR+ (95% CI)	LR- (95% CI)
41–60	9–18	22/6	≤ 41	0.86 (0.73–1.00)	0.50 (0.17–0.83)	0.61 (0.29–0.89)	3.67 (0.73–Inf)	0.58 (0.17–1.05)
41–60	0–8	20/10	≤ 39	0.75 (0.55–0.90)	0.80 (0.50–1.0)	0.77 (0.58–0.92)	3.20 (1.60–10.05)	0.27 (0.00–0.67)
61–70	9–18	29/8	≤ 36	1.00 (1.00–1.00)	0.88 (0.63–1.00)	0.88 (0.64–1.00)	Inf (Inf–Inf)	0.13 (0.00–0.38)
61–70	0–8	34/15	≤ 35	0.88 (0.76–0.97)	0.53 (0.27–0.80)	0.73 (0.57–0.88)	4.53 (1.76–22.67)	0.53 (0.23–0.84)
71–90	9–18	11/15	≤ 40	0.82 (0.55–1.00)	1.00 (1.00–1.00)	0.89 (0.72–1.00)	5.50 (2.20–Inf)	0.00 (0.00–0.00)
71–90	0–8	18/40	≤ 36	0.83 (0.67–1.00)	0.85 (0.73–0.95)	0.87 (0.75–0.96)	5.10 (2.47–Inf)	0.18 (0.06–0.32)

Sensitivity, Specificity, Positive likelihood ratio (LR+), Negative likelihood ratio (LR-) and corresponding 95% confidence intervals are also reported. Age and education are bolded for emphasis.