TABLE 4.

Results From Generalized Estimating Equation Analyses, With Separate Models for Each Biomarker Variable

Biomarker Variables	Estimate (se) for Acute Respiratory Distress Syndrome Developmenta	p
log (sRAGE levels)	0.0002 (0.0002)	0.26
log (Ang-2 levels)	0.0001 (0.0001)	0.32
log (SP-D levels)	0.0001 (0.0001)	0.13
Biomarker Variables	Estimate (se) for Mortalityb	p
log (sRAGE levels)	0.0004 (0.0002)	0.06
log (Ang-2 levels)	0.0002 (0.0001)	0.04
log (SP-D levels)	0.0001 (0.0001)	0.14

Ang-2 = angiopoietin-2, sRAGE = soluble receptor for advanced glycation end-products, SP-D = surfactant protein-D.

Each row of the table represents separate generalized estimating equation models, each adjusting for the biomarker-related variable in that row only, plus the covariates detailed below. Only the results for the biomarker-related variable from each model is presented in the table. Time variable indicating the day of sample collection and the interaction term between the biomarker levels and the time variable were not significant, and were not included in the final models.

^aEach generalized estimating equation model for acute respiratory distress syndrome development adjusts for age (continuous), sex (male or female), race (Black, White, or other), and primary source of infection (COVID-19, pulmonary infection [pneumonia or aspiration pneumonia], or other [all other sources of infection]), in addition to the biomarker-related variable in that row.

^bEach generalized estimating equation model for mortality adjusts for age (continuous), sex (male or female), race (Black, White, or other), and vasopressor use (yes or no), in addition to the biomarker-related variable in that row.