All study population (n=3340) | |||
---|---|---|---|
OR | 95% CI | p Value | |
Univariable | |||
Rentrop 0 | 1 | – | reference |
Rentrop 1 | 0.54 | 0.33 to 0.82 | 0.006 |
Rentrop 2 | 0.47 | 0.28 to 0.74 | 0.002 |
Rentrop 3 | 1.27 | 0.79 to 1.95 | 0.303 |
Multivariable | |||
Rentrop 0 | 1 | – | reference |
Rentrop 1 | 0.48 | 0.22 to 0.94 | 0.046 |
Rentrop 2 | 0.38 | 0.17 to 0.76 | 0.010 |
Rentrop 3 | 1.35 | 0.72 to 2.40 | 0.331 |
Single vessel disease without previous myocardial infarction (n=1880) | |||
OR | 95% CI | p Value | |
Univariable | |||
Rentrop 0 | 1 | – | reference |
Rentrop 1 | 0.59 | 0.28 to 1.12 | 0.131 |
Rentrop 2 | 0.33 | 0.11 to 0.76 | 0.019 |
Rentrop 3 | 0.20 | 0.03 to 1.49 | 0.118 |
Multivariable | |||
Rentrop 0 | 1 | – | reference |
Rentrop 1 | 0.60 | 0.20 to 1.5 | 0.318 |
Rentrop 2 | 0.29 | 0.05 to 1.03 | 0.104 |
Rentrop 3 | <0.01 | <0.01 to >10.0 | 0.987 |
Impact of coronary collaterals on in-hospital mortality was estimated by univariable and multivariable logistic regression analysis with Rentrop 0 serving as a reference. Age, gender, onset to admission time, coronary risk factors (diabetes, hypertension, dyslipidaemia, smoking, previous myocardial infarction and angina pectoris), culprit vessel, multivessel disease and emergency percutaneous coronary intervention were used as covariates in a multivariable model.