Table 3.

Multivariable logistic regression analysis for the prediction of ACS using clinical predictors in model 1 (age, gender, and number of cardiovascular risk factors that include diabetes mellitus, hypertension, dyslipidemia, smoking status, and family history of premature CAD), adding ≥50% stenosis in model 2 and high-risk plaque in model 3.

	Model 1		Model 2		Model 3
	OR (95% CI)	p value	OR (95% CI)	p value	OR (95% CI)	p value
Age	1.1 (1.0-1.1)	0.003	1.0 (1.0-1.1)	0.539	1.0 (0.9-1.1)	0.870
Female	0.2 (0.1-0.4)	<0.001	0.3 (0.1-0.8)	0.020	0.4 (0.1-1.2)	0.104
Number of Risk Factors	1.4 (1.0-1.8)	0.056	1.4 (0.9-2.2)	0.124	1.3 (0.8-2.0)	0.278
Stenosis ≥50%			71.7 (27.1-189.9)	<0.001	38.6 (14.2-104.7)	<0.001
High-risk plaque					8.9 (1.8-43.3)	0.006

ACS = acute coronary syndrome, CI = confidence interval, Number of Risk Factors = number of cardiovascular risk factors (diabetes mellitus, hypertension, dyslipidemia, smoking status, and family history of premature CAD), OR = odds ratio,