Table 2.

Predictors of development of collaterals

	Univariable		Multivariable (stepwise)
	OR (95% CI)	p Value	adjusted OR (95% CI)	p Value
Age, per 10 years	0.87 (0.82 to 0.92)	<0.001	0.85 (0.79 to 0.91)	<0.001
Male, %	1.18 (0.99 to 1.40)	0.052	–	–
Onset to admission, hour	1.03 (1.02 to 1.04)	<0.001	1.04 (1.02 to 1.05)	<0.001
Coronary risk factor
Diabetes	1.07 (0.92 to 1.24)	0.390	–	–
Hypertension	0.91 (0.78 to 1.05)	0.174	0.87 (0.74 to 1.02)	0.081
Dyslipidaemia	1.43 (1.24 to 1.65)	<0.001	1.31 (1.12 to 1.53)	<0.001
Smoking	1.19 (1.03 to 1.38)	0.020	–	–
Previous MI	1.30 (1.04 to 1.62)	0.021	1.20 (0.93 to 1.54)	0.155
Angina pectoris	1.61 (1.36 to 1.91)	<0.001	1.61 (1.34 to 1.94)	<0.001
Culprit vessel
LCx	1	reference	1	reference
LAD	1.99 (1.53 to 2.60)	<0.001	2.18 (1.64 to 2.92)	<0.001
RCA	2.01 (1.55 to 2.64)	<0.001	2.14 (1.61 to 2.87)	<0.001
Other	1.36 (0.88 to 2.08)	0.158	1.58 (0.98 to 2.52)	0.059
Multivessel disease	1.11 (0.95 to 1.28)	0.179	1.15 (0.97 to 1.35)	0.103

Collaterals were divided into 2 variables (absent=RCS 0 or present=RCS 1–3).

Multivariable model was selected with stepwise method based on Akaike Information Criteria. Same results were obtained with decrease/increase and increase/decrease stepwise models.

LAD, left anterior descending artery; LCx, left circumflex artery; RCA, right coronary artery.