Table 3.

Comparison of different cut-offs in logistic regression model. (N = 120).

Cut-off	Sensitivity	Specificity	Positive predictive value	Negative predictive value	Positive likelihood ratio	Negative likelihood ratio	Accuracy
0.1	95.8	69.7	46.0	98.4	3.16	0.06	75.2
0.2	91.7	79.8	55.0	97.3	4.54	0.10	82.3
0.3	79.2	86.5	61.3	93.9	5.87	0.24	85.0
0.4	75.0	89.9	66.7	93.0	7.43	0.28	86.7
0.5	66.7	95.5	80.0	91.4	14.82	0.35	89.4
0.6	50.0	96.6	80.0	87.8	14.71	0.52	86.7
0.7	33.3	97.8	80.0	84.5	15.14	0.68	84.1
0.8	20.8	97.8	71.4	82.1	9.45	0.81	81.4
0.9	12.5	98.9	75.0	80.7	11.36	0.88	80.5