Table 3

Impact of coronary collaterals on in-hospital mortality

All study population (n=3340)
OR95% CIp Value
Univariable
 Rentrop 01reference
 Rentrop 10.540.33 to 0.820.006
 Rentrop 20.470.28 to 0.740.002
 Rentrop 31.270.79 to 1.950.303
Multivariable
 Rentrop 01reference
 Rentrop 10.480.22 to 0.940.046
 Rentrop 20.380.17 to 0.760.010
 Rentrop 31.350.72 to 2.400.331
Single vessel disease without previous myocardial infarction (n=1880)
OR95% CIp Value
Univariable
 Rentrop 01reference
 Rentrop 10.590.28 to 1.120.131
 Rentrop 20.330.11 to 0.760.019
 Rentrop 30.200.03 to 1.490.118
Multivariable
 Rentrop 01reference
 Rentrop 10.600.20 to 1.50.318
 Rentrop 20.290.05 to 1.030.104
 Rentrop 3<0.01<0.01 to >10.00.987
  • 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.