. Author manuscript; available in PMC: 2013 Sep 1.

Published in final edited form as: J Allergy Clin Immunol. 2012 Aug 1;130(3):647–654.e10. doi: 10.1016/j.jaci.2012.06.025

TABLE II.

Logistic regression model of biomarkers versus eosinophil status in BOBCAT (n = 59)

	Estimate	SE	z Score	P value
Age	−0.0396	0.039	−1.015	.31
Sex (male)	−0.2031	0.889	−0.229	.82
Body mass index	−0.1004	0.066	−1.527	.13
Blood eosinophils	1.7482	3.621	0.483	.63
Serum IgE	−0.0002	0.001	−0.100	.92
Feno	0.0476	0.038	1.238	.22
Serum periostin	0.2491	0.092	2.719	.007

We applied a logistic regression model to evaluate demographic and biomarker variables as predictors of composite airway eosinophil status (eosinophil low = sputum eosinophils <3% and biopsy eosinophils <22/mm²; eosinophil high = sputum eosinophils >3% or biopsy eosinophils >22/mm²).