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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

TreatmentPredictorCategoryUnivariable  Multivariable  
 OR(95% CI)p valueOR(95% CI)p value
SAVR (N = 3760)Valve typeBio prosthetic valve1.0     
 Mechanical valve1.5(0.32–6.88).607   
TAVR (N = 1929)Access routeDirect aortic1.0  1.0  
Transfemoral0.5(0.28–0.80)0.0060.4(0.19–0.75)0.005
Transapical1.4(0.83–2.47)0.1961.4(0.65–2.87)0.417
Vascular complication 2.5(1.66–3.70)< 0.0012.9(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)0.0331.4(0.84–2.22)0.213
HospitalbPrimary hospital1.0  1.0  
A0.7(0.46–1.19)0.2141.0(0.56–1.80)0.993
B0.7(0.43–0.98)0.0410.9(0.54–1.47)0.658
C1.1(0.7–1.71)0.6910.2(0.09–0.57)0.002
D0.4(0.21–0.76)0.0050.2(0.06–0.68)0.010
E0.4(0.16–1.05)0.0630.09(0.01–0.70)0.021
UrgencycElective1     
 Urgent0.8(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)0.0081.9(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
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