Table 4.
Univariate and multivariate logistic regression analysis for prediction of postoperative adverse events.
| Variable | Univariate | Multivariate | ||||
|---|---|---|---|---|---|---|
| OR | 95% CI | p Value | OR | 95% CI | p Value | |
| Previous MI | 8.125 | 2.335–28.270 | 0.001 | |||
| History of stroke | 7.111 | 0.756–66.894 | 0.086 | |||
| Previous PCI | 4.741 | 1.728–13.009 | 0.003 | |||
| NYHA ≥ 2 | 3.250 | 1.219–8.666 | 0.019 | |||
| Syntax score | 1.143 | 1.056–1.237 | 0.001 | |||
| STS score * | 1.682 | 0.962–2.941 | 0.068 | |||
| sST2 levels | 1.128 | 1.065–1.194 | <0.001 | 1.117 | 1.016–1.228 | 0.022 |
| NT-proBNP levels | 1.004 | 1.001–1.007 | 0.004 | |||
Abbreviations: CI: confidence interval, OR: odds ratio, MI: myocardial infarction, NT-proBNP: N-terminal pro-brain natriuretic peptide, NYHA: New York heart association, PCI: percutaneous coronary intervention, sST2: soluble ST2, STS: society of thoracic surgeon. * This parameter is not entered to the model in order to prevent multicollinearity.