A simple prediction model to estimate obstructive coronary artery disease

Table 2 Univariate analyses and multivariate associations between variables and obstructive coronary artery disease

Risk factors	Univariate logistic regression^a			Multivariate logistic regression^b
Risk factors	OR	95% CI	P value	OR	95% CI	P value
Age, (per year)	1.11	1.04–1.18	< 0.01	1.02	1.00–1.04	0.05
Gender (male vs. female)	2.07	1.56–2.69	< 0.01	2.99	1.97–4.45	< 0.01
Hypertension (yes vs. no)	2.02	1.56–2.62	< 0.01	1.72	1.17–2.55	< 0.01
Anemia (yes vs. no)	1.78	1.33–2.37	< 0.01	1.76	1.14–2.72	< 0.01
LVEF (per %)	0.97	0.96–0.99	< 0.01	0.98	0.96–1.00	< 0.01
Hs-CRP (per mmol/l)	1.04	1.01–1.07	< 0.01	1.03	1.00–1.05	0.07
TC (per 10 mg/dl)	1.02	0.99–1.05	0.25	1.06	1.01–1.11	0.03
HDL-C (per mg/dl)	0.97	0.96–0.99	< 0.01	0.98	0.96–0.99	< 0.01

OR: odds ratio; CI: confidence interval; LVEF = left ventricular ejection fraction; Hs-CRP = high-sensitivity C-reactive protein; TC: total cholesterol; HDL-C = high-density lipoprotein cholesterol
^aUnivariate logistic regression analysis was performed in 1262 patients
^bMultivariate logistic regression analysis was performed in 683 patients without missing data of the variables in the final model

ISSN: 1471-2261