Table 3

Multivariable linear regression models to test the relationship between the maximum rise of NT-proBNP and other clinical variables

GroupVariableCoefficient (β)SE95% CIP value
All patientsIntercept4.430.014.41 to 4.45<0.001
r²=0.17; adjusted r²=0.16
LVEF <45%−0.300.04−0.38 to −0.21<0.001
SAVR0.210.040.13 to 0.30<0.001
PHF0.200.040.11 to 0.28<0.001
All-SAVRIntercept4.380.024.34 to 4.41<0.001
r²=0.17; adjusted r²=0.16
Age0.270.050.17 to 0.37<0.001
LVEF <45%−0.200.05−0.30 to −0.10<0.001
PHF0.170.060.06 to 0.280.002
CK-MB D10.120.050.01 to 0.230.03
TAVIIntercept4.290.034.23 to 4.35<0.001
r²=0.22; adjusted r²=0.20
LVEF <45%−0.370.09−0.55 to −0.18<0.001
CK-MB D10.230.090.04 to 0.410.02
  • CK-MB D1, creatine kinase MB the 1st postoperative day; LVEF, left ventricular ejection fraction; NT-proBNP, N-terminal pro-B-type natriuretic peptide; PHF, postoperative heart failure; r2, the percentage of the response variable variation that is explained by the model; SAVR, surgical aortic valve replacement.