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Table 4 Univariate and multivariate logistic regression models in predicting MACE for patients undergoing elective hemiarch replacement

From: Impact of planned concomitant coronary artery bypass grafting on risk of major adverse cardiovascular events in elective aortic hemiarch surgery

Variable

Univariate Analysis

Multivariate Analysis

OR

95% CI

p-value

OR

95% CI

p-value

Concomitant CABG

9.07

3.44–23.51

< 0.001

   

Number of Bypassed Vessels

2.54

1.55–4.02

< 0.001

2.23

1.33–3.69

0.002

Age

1.09

1.04–1.16

< 0.001

1.07

1.02–1.13

0.006

Gender (Female)

3.43

1.37–8.62

0.008

3.53

1.31–9.64

0.012

History of Smoking

0.33

0.05–1.18

0.144

   

CV Comorbidity

7.05

1.44–127.46

0.058

   

Aortic Valve Intervention

1.18

0.47–2.93

0.713

   

Mitral Valve Intervention

4.81

0.70–20.46

0.055

   

Root Replacement

0.86

0.32–2.14

0.747

   

Afib Procedure

2.00

0.31–7.58

0.373

   

Shaggy Aorta Protocol

1.88

0.76–4.77

0.169

   
  1. The table summarizes the results of univariate analysis for all listed variables and multivariate analysis aimed at identifying independent predictors of MACE. Significant predictors in the multivariate model were the number of bypassed vessels, age, and female gender. Cardiovascular (CV) comorbidity is defined as the presence of one or more of the following: hypertension, hyperlipidemia, type 2 diabetes, atrial fibrillation, stroke, chronic kidney disease, and peripheral artery disease. Afib: atrial fibrillation. OR: odds ratios, CI: confidence intervals