The association of endothelial cell signaling, severity of illness, and organ dysfunction in sepsis

Table 2 Association of individual biomarkers with organ dysfunction, adjusted for age, gender, and comorbid burden

	Organ dysfunction (log tranformed SOFA score)
Biomarker	Std. beta	SE	P -value	Model adj. r²
sFlt-1	0.39	0.05	< 0.001	0.46
PAI-1	0.29	0.05	< 0.001	0.38
E-selectin	0.20	0.05	< 0.001	0.33
ICAM-1	0.11	0.05	< 0.04	0.29
VCAM-1	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 co-morbid 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. sFlt-1 demonstrates the largest beta estimate which is also supported by an adjusted r-squared in the model of 0.46.

ISSN: 1364-8535