Table 3.

Predictors for coronary atherosclerosis by univariate and multivariate multiple logistic regression.

	Presence of Coronary Atherosclerosis†
	Univariate Analysis			Multiple Logistic Regression
	OR	95% CI	p	OR	95% CI	p
Age	1.21	1.09–1.34	<0.01**	1.25	1.10–1.41	<0.01**
Male sex	2.13	0.54–8.40	0.50
Duration of disease	1.04	0.99–1.09	0.13
Triglyceride	1.37	0.62–3.01	0.43
Total cholesterol	1.49	0.92–2.42	0.10
HDL	2.24	0.63–7.88	0.21
LDL	1.54	0.83–2.88	0.17
C-reactive protein	1.19	0.91–1.55	0.21
Creatinine	2.53	0.82–3.25	0.18
Hypertension	5.14	1.46–18.1	0.01*
Diabetes	3.86	0.23–65.6	0.35
Hyperlipidemia	NA††	NA††	—
Smoking	3.64	0.84–15.9	0.09
Rheumatoid factor	0.82	0.24–2.78	0.75
NSAID	0.32	0.04–2.74	0.30
Prednisolone	2.14	0.54–8.39	0.28
DMARD	0.97	0.29–3.27	0.97
CD34+ EPC %	1.05	0.94–1.17	0.40
CD34/KDR+ EPC%	0.95	0.77–1.16	0.60
CD133+ EPC %	0.23	0.05–0.99	0.05*
CD133/KDR+ EPC %	0.18	0.29–1.15	0.07	0.07	0.00–0.97	0.01**

↵† Coronary calcium score > 10.
↵†† OR cannot be estimated due to the complete separation of the data, so that we have no case from one of the groups.
↵* p < 0.05.
↵** p < 0.01. EPC: endothelial progenitor cells; DMARD: disease modifying antirheumatic drugs; HDL: high density lipoproteins; LDL: low density lipoproteins; NSAID: nonsteroidal antiinflammatory drugs.