Table 3.

The result of ROC analysis and Logistic regression analysis.

	AUC	Confidence interval	p	Cut-off value
L	0.673	0.582–0.763	0.001	13.5
H	0.750	0.673–0.828	<0.001	12.4
AR	0.847	0.760–0.897	<0.001	1.6
SR	0.824	0.754–0.893	<0.001	2.3
EI	0.768	0.692–0.843	<0.001	0.11
UI	0.691	0.608–0.775	<0.001	0.13
NSI	0.877	0.820–0.935	<0.001	0.17
DA	0.862	0.807–0.941	<0.001	35°
NWSSa	0.859	0.779–0.910	<0.001	0.24
NWSSm	0.784	0.720–0.869	<0.001	0.38
WSSG	0.702	0.618–0.796	0.004	15.0
LSAR	0.749	0.584–0.773	<0.001	0.30
OSI	0.843	0.660–0.789	<0.001	0.008
RRT	0.654	0.499–0.761	<0.001	5.3
Variable	OR	Univariate logistic regression p value	OR	Multivariate logistic regression p value
L	1.40	0.344	–	–
AR	1.63	0.011	11.72	0.053
SR	12.59	<0.001	3.46	0.001
H	1.70	0.172	–	–
DA	5.86	<0.001	4.42	<0.001
EI	3.92	0.028	12.76	0.071
UI	19.84	0.056	–	–
NSI	7.90	<0.001	3.17	0.072
WSSG	2.04	0.426	–	–
NWSSa	27.76	<0.001	0.58	0.032
NWSSm	0.087	0.027	0.03	0.487
LSAR	2.87	0.003	3.65	0.007
OSI	1.85	0.007	0.895	0.032
RRT	4.32	0.059	–	–

Bold values indicate statistically significant parameters.