Table 2.

Multivariate logistics regression analysis in TCM groups.

TCM groups	Independent variables	RR	SE	z	P
NON	(Base outcome)
SSDH	Hp	66.360∗	71.22943	3.91	0.0001
	Gender	0.797	0.5363312	−0.34	0.737
	Age
	<55	1.103	0.7698166	0.14	0.889
	<65	2528084	2.19E + 09	0.02	0.986
	≧65	1.338	1.55997	0.25	0.803
LQIS	Hp	68.114∗	73.09308	3.93	0.0001
	Gender	0.532	0.3566124	−0.94	0.346
	Age
	<55	1.014	0.7049037	0.02	0.984
	<65	1477533	1.28E + 09	0.02	0.987
	≧65	0.583	0.687404	−0.46	0.647
IBSB	Hp	72.048∗	80.58746	3.82	0.0001
	Gender	0.714	0.5035651	−0.48	0.633
	Age
	<55	1.504	1.123849	0.55	0.585
	<65	3083635	2.67E + 09	0.02	0.986
	≧65	1.673	2.022528	0.43	0.670
SQD	Hp	41.117∗	44.61288	3.43	0.001
	Gender	0.507	0.3472169	−0.99	0.321
	Age
	<55	1.871	1.344472	0.87	0.384
	<65	3893661	3.37E + 09	0.02	0.986
	≧65	1.892	2.242295	0.54	0.591

^∗ P < 0.05. RR: relative risk; SE: standard error. Hp: Hp (−) as a reference; Gender: female as a reference; Age: <45 as a reference.