Table 2
Open in new tab

Relevant confounding factors and mediators entered as adjustment covariables in multivariable proportional hazards and negative binomial regression models

Covariableχ2P value
Charlson’s comorbidity indexa109.34<0.0001
Age61.73<0.0001
Peripheral vascular disease38.19<0.0001
Degenerative-calcific aortic valve34.49<0.0001
Stroke volumea32.95<0.0001
Chronic obstructive pulmonary disease26.47<0.0001
Chronic renal disease23.93<0.0001
Previous myocardial infarction20.07<0.0001
History of CHF19.58<0.0001
Aortic regurgitation18.490.0003
Inpatient at enrolment14.090.0002
Male sex13.840.0002
Anaemia13.660.0002
Mitral regurgitation14.700.0021
Aortic valve replacement4.110.042
Diabetes mellitus0.820.36
Hypertension0.660.42
Ejection fraction0.250.62
Non-sinus rhythm1.420.47
Coronary artery disease0.250.62
Covariableχ2P value
Charlson’s comorbidity indexa109.34<0.0001
Age61.73<0.0001
Peripheral vascular disease38.19<0.0001
Degenerative-calcific aortic valve34.49<0.0001
Stroke volumea32.95<0.0001
Chronic obstructive pulmonary disease26.47<0.0001
Chronic renal disease23.93<0.0001
Previous myocardial infarction20.07<0.0001
History of CHF19.58<0.0001
Aortic regurgitation18.490.0003
Inpatient at enrolment14.090.0002
Male sex13.840.0002
Anaemia13.660.0002
Mitral regurgitation14.700.0021
Aortic valve replacement4.110.042
Diabetes mellitus0.820.36
Hypertension0.660.42
Ejection fraction0.250.62
Non-sinus rhythm1.420.47
Coronary artery disease0.250.62

Covariables have been sorted based on their prognostic relevance (χ2 value). This same set of covariables was used for adjusting all regression models.

a

Includes non-linear terms.

Table 2
Open in new tab

Relevant confounding factors and mediators entered as adjustment covariables in multivariable proportional hazards and negative binomial regression models

Covariableχ2P value
Charlson’s comorbidity indexa109.34<0.0001
Age61.73<0.0001
Peripheral vascular disease38.19<0.0001
Degenerative-calcific aortic valve34.49<0.0001
Stroke volumea32.95<0.0001
Chronic obstructive pulmonary disease26.47<0.0001
Chronic renal disease23.93<0.0001
Previous myocardial infarction20.07<0.0001
History of CHF19.58<0.0001
Aortic regurgitation18.490.0003
Inpatient at enrolment14.090.0002
Male sex13.840.0002
Anaemia13.660.0002
Mitral regurgitation14.700.0021
Aortic valve replacement4.110.042
Diabetes mellitus0.820.36
Hypertension0.660.42
Ejection fraction0.250.62
Non-sinus rhythm1.420.47
Coronary artery disease0.250.62
Covariableχ2P value
Charlson’s comorbidity indexa109.34<0.0001
Age61.73<0.0001
Peripheral vascular disease38.19<0.0001
Degenerative-calcific aortic valve34.49<0.0001
Stroke volumea32.95<0.0001
Chronic obstructive pulmonary disease26.47<0.0001
Chronic renal disease23.93<0.0001
Previous myocardial infarction20.07<0.0001
History of CHF19.58<0.0001
Aortic regurgitation18.490.0003
Inpatient at enrolment14.090.0002
Male sex13.840.0002
Anaemia13.660.0002
Mitral regurgitation14.700.0021
Aortic valve replacement4.110.042
Diabetes mellitus0.820.36
Hypertension0.660.42
Ejection fraction0.250.62
Non-sinus rhythm1.420.47
Coronary artery disease0.250.62

Covariables have been sorted based on their prognostic relevance (χ2 value). This same set of covariables was used for adjusting all regression models.

a

Includes non-linear terms.

Close
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close

This PDF is available to Subscribers Only

View Article Abstract & Purchase Options

For full access to this pdf, sign in to an existing account, or purchase an annual subscription.

Close