Impact of coronary collaterals on 5-year mortality
| All study population (n=3340) | |||
|---|---|---|---|
| HR | 95% CI | p Value | |
| Univariable | |||
| Rentrop 0 | 1 | – | reference |
| Rentrop 1 | 0.47 | 0.34 to 0.66 | <0.001 |
| Rentrop 2 | 0.46 | 0.33 to 0.64 | <0.001 |
| Rentrop 3 | 0.94 | 0.66 to 1.33 | 0.714 |
| Multivariable | |||
| Rentrop 0 | 1 | – | reference |
| Rentrop 1 | 0.53 | 0.34 to 0.82 | 0.004 |
| Rentrop 2 | 0.46 | 0.30 to 0.70 | <0.001 |
| Rentrop 3 | 0.98 | 0.65 to 1.48 | 0.920 |
| Single vessel disease without previous myocardial infarction (n=1880) | |||
| HR | 95% CI | p Value | |
| Univariable | |||
| Rentrop 0 | 1 | – | reference |
| Rentrop 1 | 0.45 | 0.27 to 0.74 | 0.002 |
| Rentrop 2 | 0.35 | 0.20 to 0.64 | <0.001 |
| Rentrop 3 | 0.45 | 0.18 to 1.09 | 0.077 |
| Multivariable | |||
| Rentrop 0 | 1 | – | reference |
| Rentrop 1 | 0.49 | 0.26 to 0.91 | 0.025 |
| Rentrop 2 | 0.37 | 0.17 to 0.80 | 0.011 |
| Rentrop 3 | 0.56 | 0.21 to 1.55 | 0.267 |
Impact of coronary collaterals on 5-year mortality was estimated by univariable and multivariable Cox regression analysis with Rentrop 0 serving as a reference. Age, gender, coronary risk factors (diabetes, hypertension, dyslipidaemia, smoking, previous myocardial infarction and angina pectoris), culprit vessel, multivessel disease, emergency percutaneous coronary intervention, ACE inhibitors, angiotensin receptor blocker, β-blocker, calcium-blocker, statin and diuretic usage were used as covariates in a multivariable model.