Table 3.

The Independent Association of TIGIT+Tregs with ACS in Different Model

Models	Variables	OR	95% CI	P
Model 1	TIGIT+Tregs	0.939	0.899–0.980	0.004
Model 2	Model 1+Age, Gender, BMI	0.933	0.893–0.976	0.002
Model 3	Model 2+HPT+DM+Smoking+History of revascularization	0.921	0.877–0.968	0.001
Model 4	Model 3+ACEI/ARB+β-blocker	0.909	0.861–0.958	<0.001
Model 5	Model 4+Lipids	0.902	0.849–0.958	0.001
Model 6	Model 3+Lipids	0.912	0.862–0.965	0.001

Notes: Multivariable logistic regression analyses were performed to identify predictors of ACS in different model. Model 1: TIGIT+Tregs. Lipids included high density lipoprotein cholesterol, low density lipoprotein cholesterol, and triglyceride. Significant P values with bold characters.

Abbreviations: BMI, body mass index; HPT, hypertension; DM, diabetes mellitus; ACEI/ARB, angiotensin-converting enzyme inhibitors/angiotensin receptor blockers.