
Organ dysfunction
(log tranformed SOFA score)


Biomarker

Std. beta

SE

P value

Model adj. r^{2}


sFlt1

0.39

0.05

< 0.001

0.46

PAI1

0.29

0.05

< 0.001

0.38

Eselectin

0.20

0.05

< 0.001

0.33

ICAM1

0.11

0.05

< 0.04

0.29

VCAM1

0.15

0.05

< 0.003

0.30

 Table 2 shows the results from each individual biomarker incorporated into a linear regression model (one marker per model) with outcome SOFA, adjusted for age (years), gender, and comorbid burden (charlson index). Thus, each line represents its own model: Expected log SOFA = intercept + α (Biomarker) + β(Age) + χ (gender) + δ (Charlson). The biomarkers are standardized [(biomarker  biomarker mean)/SD] so the beta estimates are comparable. Each biomarker showed a statistically significant association with SOFA score. sFlt1 demonstrates the largest beta estimate which is also supported by an adjusted rsquared in the model of 0.46.