Table 4.
Logistic regression analysis to identify predictors for missing the clinical endpoint.
| Univariate Logistic Regression Analysis | |||
|---|---|---|---|
| Odds Ratio | 95%-Confidence Interval | p-Value | |
| Age, years | 1.07 | 0.99–1.16 | 0.104 |
| Weight, kg | 0.98 | 0.95–1.01 | 0.217 |
| BMI, kg/m2 | 0.89 | 0.80–0.99 | 0.047 |
| Prior PCI | 4.94 | 1.79–13.66 | 0.002 |
| Atrial fibrillation or flutter | 1.99 | 0.74–5.32 | 0.172 |
| Male | 3.16 | 1.15–8.70 | 0.026 |
| Known coronary artery disease |
4.39 | 1.54–12.57 | 0.006 |
| Cardiac mass, g | 0.99 | 0.99–1.00 | 0.133 |
BMI = body mass index, PCI = percutaneous coronary intervention. p-values < 0.05 are presented bold. Data availability is displayed in brackets below for each variable.