Skip to main content
. 2022 Jan 13;24(7):1119–1126. doi: 10.1093/europace/euab315

Table 3.

Multivariable lasso logistic regression analysis and scoring system

Variable Selection probabilitya Odds ratio β regression coefficient (95% CI)b Pointsc
Age (years) 0.984
 <75 Reference
 ≥75 to <85 0.77 −0.26 (−1.44–0.0) −1
 >85 2.08 0.73 (0.0–1.49) 1
Body mass index < 20 (kg/m2) 0.864 2.39 0.87 (0.0–1.75) 1
Female 0.918 1.70 0.53 (0.0–1.40) 1
Heart failure 0.765 1.52 0.42 (0.0–1.29) 1
Coronary artery disease 0.809 0.77 −0.27 (−1.66–0.0) −1
Prior myocardial infarction 0.731 1.65 0.50 (0.0–1.60) 1
Pulmonary hypertension 0.596 1.09 0.08 (−0.31–1.19) 1
COPD 0.944 2.83 1.04 (0.0–1.91) 2
Atrial fibrillation 0.979 0.41 −0.89 (−1.68 to −0.05) −1
Prior cardiac surgery 0.761 0.74 −0.31 (−1.51–0.0) −1
Dialysis 0.664 1.30 0.26 (−0.21–1.79) 1

CI, confidence interval; COPD, chronic obstructive pulmonary disease.

a

Proportion of 1000 bootstrap samples in which the variable was included in the lasso logistic model.

b

Confidence intervals derived from the 2.5th and 97.5th percentile from the distribution of each coefficient across 1000 bootstrap samples. If the variable was not selected in the model for a particular bootstrap sample it was included as having a value of zero.

c

Points were assigned by increasing (or decreasing) β coefficients up or down to the next higher positive or lower negative integer, respectively.