Skip to main content

Table 2 Multivariable linear regression models for the predictors of AS progression rate

From: Impact of glycemic control on the progression of aortic stenosis: a single-center cohort study using a common data model

 

β

95% CI

P value

CAD

6.716

1.344 – 12.088

0.014

Heart failure

-9.952

-17.725 – -2.178

0.012

Total cholesterol (per + 1 mg/dL)

0.063

0.005 – 0.120

0.034

Mean HbA1 during follow-up (per + 1%-unit increase in HbA1c)

2.620

0.732 – 4.507

0.007

Vpeak (per + 1 m/sec)

5.574

1.329 – 9.818

0.010

  1. Because the value of the dependent variable was numerically small, the dependent variable (Vpeak/year) was analyzed in units of ‘cm/sec/year’
  2. Univariable factors with P-values < 0.1 were entered into the multivariable linear regression analysis, using the stepwise backward elimination with the Akaike Information Criterion (AIC) method. Variables with significant association with AS progression (Vpeak/year) are shown
  3. Abbreviations: CI confidence interval, CAD coronary artery disease, HbA1c glycated hemoglobin, Vpeak aortic valve maximal velocity