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Table 1 Univariable and multivariable logistic regression results predicting 30-day mortality

From: Selecting interventions to improve patient-relevant outcomes in health care for aortic valve disease – the Intervention Selection Toolbox

Treatment

Predictor

Category

Univariable

  

Multivariable

  
 

OR

(95% CI)

p value

OR

(95% CI)

p value

SAVR (N = 3760)

Valve type

Bio prosthetic valve

1.0

     
 

Mechanical valve

1.5

(0.32–6.88)

.607

   

TAVR (N = 1929)

Access route

Direct aortic

1.0

  

1.0

  

Transfemoral

0.5

(0.28–0.80)

0.006

0.4

(0.19–0.75)

0.005

Transapical

1.4

(0.83–2.47)

0.196

1.4

(0.65–2.87)

0.417

Vascular complication

 

2.5

(1.66–3.70)

< 0.001

2.9

(1.92–4.63)

< 0.001

Valve re-intervention

 

0.8

(0.19–3.66)

0.819

   

Previous heart operation

 

0.9

(0.67–1.45)

0.932

   

Previous CVAa

 

1.4

(0.85–2.14)

0.203

   

Previous mitral valve stenosis

 

0.6

(0.4–0.96)

0.033

1.4

(0.84–2.22)

0.213

Hospitalb

Primary hospital

1.0

  

1.0

  

A

0.7

(0.46–1.19)

0.214

1.0

(0.56–1.80)

0.993

B

0.7

(0.43–0.98)

0.041

0.9

(0.54–1.47)

0.658

C

1.1

(0.7–1.71)

0.691

0.2

(0.09–0.57)

0.002

D

0.4

(0.21–0.76)

0.005

0.2

(0.06–0.68)

0.010

E

0.4

(0.16–1.05)

0.063

0.09

(0.01–0.70)

0.021

Urgencyc

Elective

1

     
 

Urgent

0.8

(0.48–1.33)

0.390

   

Severe left ventricular dysfunction

> 50%

0.6

(0.21–1.77)

0.363

   

< 50%

1.0

(0.33–2.77)

0.935

   

Age

 

1.0

(0.98–1.06)

0.427

   

Renal dysfunction

 

1.6

(1.13–2.27)

0.008

1.9

(1.27–2.82)

0.002

  1. aCVA cerebrovascular accident
  2. bAnalysis for Hospital was conducted relative to the primary hospital. Measurably Better data 2015
  3. cUrgency: for urgent operations, no emergency and rescue operations