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. 2017 Jan 31;9:1–10. doi: 10.2147/CMAR.S115835

Table 3.

Multivariable logistic regression analysis for association between cytokine and symptoms at baselinea

Cytokine (natural logarithm transformed) as independent variable No. of patients Dependent variable = severe depression
Dependent variable = severe fatigue
Adjusted OR (95% CI) p-Value Adjusted OR (95% CI) p-Value
EGF 79 1.57 (0.93, 2.65) 0.09 1.17 (0.73, 1.85) 0.51
IFN-γ 80 1.45 (1.08, 1.94) 0.013 1.16 (0.90, 1.48) 0.25
IL-1 63 0.98 (0.60, 1.60) 0.93 0.71 (0.43, 1.17) 0.18
IL-1β 68 1.35 (0.92, 1.99) 0.13 0.88 (0.63, 1.24) 0.47
IL-1Ra 63 1.62 (1.07, 2.45) 0.022 1.57 (1.04, 2.36) 0.033
IL-6 80 1.45 (1.07, 1.96) 0.015 1.02 (0.79, 1.32) 0.87
IL-8 83 1.85 (1.23, 2.79) 0.003 0.98 (0.72, 1.32) 0.88
TGF-α 79 1.57 (1.08, 2.28) 0.019 1.09 (0.80, 1.50) 0.58
TNF-α 81 1.79 (1.21, 2.66) 0.004 1.02 (0.75, 1.40) 0.90
VEGF 82 1.75 (1.07, 2.86) 0.027 1.20 (0.79, 1.82) 0.39

Notes:

a

A multivariable logistic regression model was fit for each symptom to estimate the adjusted OR for each cytokine. In these models, the same set of adjusting covariates was included for all cytokines.

Abbreviations: CI, confidence interval; EGF, epidermal growth factor; IFN-γ, interferon-γ; IL, interleukin; OR, odds ratio; TGF-α, transforming growth factor-α; TNF-α, tumor necrosis factor-α; VEGF, vascular endothelial growth factor.