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. 2016 Nov;26(6):509–516. doi: 10.4314/ejhs.v26i6.2

Table 5.

Factors predicting stroke using logistic regression analysis

Variables Univariate Multivariable

OR 95% CI p-value OR 95% CI p-value
Age (year) 1.04 0.91, 1.19 0.583
Gender (%) 0.76 0.25, 2.31 0.628
Ejection Fraction ≤ 30% 0.87 0.19, 4.03 0.857
Hypertension (%) 2.33 0.42, 8.21 0.874 1.6 0.049, 8.90 0.043
Post-operative myocardial infarction (%) 0.24 0.01, 4.15 0.885
Smoking (%) 0.45 0.06, 3.52 0.445
Emergent surgery (%) 1.03 0.22, 4.77 0.975
Intensive care unit stay 0.99 0.96, 1.02 0.584
Diabetes (%) 2.08 0.62, 6.99 0.238
Ventilation time (%) 1.02 0.27, 3.80 0.978 1.7 0.063, 6.99 0.01
Mortality (%) 0.84 0.23, 3.13 0.797
Opium usage (%) 0.19 0.01, 3.29 0.656
Atrial fibrillation 1.04 0.93, 1.17 0.490
Reintubation 2.54 0.13, 49.59 0.395
Postoperative bleeding (%) 0.42 0.02, 7.23 0.998
Chronic obstructive pulmonary disease (%) 1.17 0.25, 5.46 0.843
Postoperative inotropic drug (%) 0.99 0.94, 1.06 0.962
Intra-aortic balloon pump usage 0.23 0.01, 6.31 0.387
Post-operative stroke (%) 0.93 0.87, 0.99 0.044 0.93 0.87, 0.99 0.043
Post-operative respiratory infection 0.93 0.89, 0.98 0.005 0.83 0.89, 0.98 0.005
Second BMI 0.97 0.95, 0.99 0.011