Table 2.
Logistic regression analysis to identify predictors for missing the technical endpoint.
| Univariate Logistic Regression Analysis | |||
|---|---|---|---|
| Odds Ratio | 95%-Confidence Interval | p-Value | |
| Age, years | 1.08 | 0.98–1.18 | 0.132 |
| Height, cm | 1.04 | 0.97–1.10 | 0.271 |
| Male | 3.11 | 0.92–10.58 | 0.069 |
| ICD or pacemaker | 4.04 | 0.67–24.46 | 0.128 |
| COPD | 6.33 | 1.53–26.28 | 0.011 |
| eGFR, mL/min | 1.02 | 0.99–1.05 | 0.166 |
| Troponin T, ng/L | 1.000 | 0.994–1.001 | 0.971 |
COPD = chronic obstructive pulmonary disease, eGFR = estimated glomerular filtration rate, ICD = implantable cardioverter defibrillator, p-values < 0.05 are presented in bold.