Table 3

- Binary logistic regression model for prediction of in-hospital mortality.

VariablesOdds ratio95% CIP-value
Age1.0260.985–1.0700.219
Gender0.4440.138–1.4330.175
Diabetes mellitus0.5890.151–2.3030.447
Hypertension2.0520.576–7.3060.267
Pulmonary disease0.3240.086–1.2220.096
Renal disease1.0000.292–3.4251.000
Heart failure1.0090.280–3.6290.990
Arrhythmia1.2300.265–5.6990.791
Valvular disorder0.2580.070–0.9540.042
Dopamine4.3461.068–17.6750.040
Dobutamine0.1230.029–0.5150.004
Norepinephrine0.3440.078–1.5150.158
Epinephrine16.2162.987–88.0440.001
Digoxin0.2770.054–0.9590.044
Thrombolysis0.3280.027–3.9620.381
IV antiplatelet0.9690.234–4.0130.965
Oral antiplatelet0.0940.007–1.1800.067
IV anticoagulant1.1250.290–4.3700.864
Oral anticoagulant1.3000.228–7.4160.768
Mechanical ventilation2.5050.728–8.6200.145
IABP1.2200.138–10.8100.858
PCI1.3240.180–9.7200.782

IV: intravenous, IABP: intra-aortic balloon pump, PCI: percutaneous coronary intervention, CABG: coronary artery bypass grafting, CI: confidence interval