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. Author manuscript; available in PMC: 2013 Aug 30.
Published in final edited form as: Eur J Endocrinol. 2011 Oct 17;166(1):121–129. doi: 10.1530/EJE-11-0778

Table 3.

Logistic Regression Models for Association of IGF-1 and IGFBP-3 Levels with ARDS Case Status

Model 1: IGF-1 Model 2: IGFBP-3
Measure ORadj 95% CI P value ORadj 95% CI P value
Biomarkera 0.58 0.42–0.79 0.0006 0.57 0.40–0.81 0.0015
Age 0.97 0.96–0.98 <0.0001 0.97 0.96–0.98 <0.0001
APACHE III scoreb 1.02 1.01–1.03 0.0063 1.02 1.01–1.03 0.0006
Direct pulmonary injuryc 4.05 2.56–6.42 <0.0001 3.84 2.44–6.05 <0.0001
Sepsisd 0.54 0.33–0.87 0.011 0.53 0.33–0.85 0.0080
Trauma 0.25 0.086–0.70 0.0089 0.25 0.089–0.70 0.0086
Current diabetes 0.59 0.36–0.95 0.031 0.61 0.38–0.99 0.043
Red cell transfusion 1.91 1.23–2.96 0.0038 1.88 1.22–2.91 0.0044
a

Biomarker in Model 1 is logIGF-1; biomarker in Model 2 is logIGFBP-3

b

APACHE III with both age and PaO2/FiO2 removed

c

Direct pulmonary injury includes pneumonia, pulmonary contusion, and aspiration

d

Sepsis syndrome without septic shock

ORadj=Adjusted odds ratio in the multivariable model; Other covariates selected out of the models include gender, BMI, cirrhosis, estrogen/progesterone status, and septic shock