Table 2:

Bivariate and Multivariate Predictors of Primary Study Outcome

Variables	Bivariate		Multivariate^a
Variables	p value	OR [95% CI]	p value	β	OR [95% CI]
Demographics
Age _{(per 10-year increment)}	0.150	-	0.732	-	-
Male Sex	0.719	-	0.351	-	-
Non-Black Race	0.010	2.8 [1.3–6.2]	0.048	0.828	2.3 [1.0–5.2]
ACS Risk Factors
Obesity (BMI > 30)	0.431	-	X
Ever Smoked	0.791	-	X
Hypertension	0.983	-	X
Diabetes Mellitus	0.100	1.7 [0.9–3.4]	0.467	-	-
Hyperlipidemia	0.508	-	X
CAD	0.642	-	X
History of Ml	0.476	-	X
Diagnosed HF	0.036	2.1 [1.1–4.3]	0.040	0.791	2.2 [1.0–4.7]
Prior PCI	0.840	-	X
Prior CABG	0.750	-	X
Clinical Presentation
ACS event	<0.001	6.5 [3.4–12.5]	<0.001	1.783	5.9 [3.0–11.7]
Presenting 12-lead ECG
NST pattern	0.013	2.4 [1.2–4.8]	0.039	0.775	2.2 [1.1–4.5]

CAD: coronary artery disease; MI: myocardial infarction; HF: heart failure; PCI: percutaneous coronary intervention; CABG: coronary artery bypass graft; ACS: acute coronary syndrome; NST: non-specific STT pattern on the presenting ECG; NS = not significant.

Bold indicates statistical significance

^(a)

Age and sex adjusted multivariate logistic regression model with backward selection method. All variables significant at p<0.10 at the bivariate analysis were entered in the multivariate model. “x” indicates the variable was not entered in the multivariate model. Hosmer and Lemshow goodness-of-fit Chi-square =2.39, p = 0.664.