Skip to main content

Table 4 Best combination of cytokines pattern able to predict IL-17 and of factors predicting the intima-media thickness

From: Is serum Interleukin-17 associated with early atherosclerosis in obese patients?

Dependent Y

IL-17

Independent variables

Coefficient

Std. error

β

t

P

IL-8

1.61

0.085

0.90

18.9

<0.0001

Eotaxin

0.28

0.074

0.39

3.79

0.0003

Variables not included in the model IL-6, TNF-α, CCL4/MIP1β

Zero order correlation coefficients:

IL-8: r 0.91, IL-6: r 0.67, TNF-α : r 0.87, CCL4/MIP1β: r 0.65, Eotaxin: r 0.47

Dependent Y

IMT

Independent variables

Coefficient

Std. Error

β

t

P

Eotaxin

0.00011

0.000039

0.30

2.8

0.0059

VAT

0.0046

0.0013

0.36

3.4

0.0010

Variables not included in the model: smoking status ,ferritin, HS grade at US, ImTG score at US, age, LDL,

Zero order correlation coefficients:

Eotaxin: r 0.27, VAT: r 0.33, ferritin: r 0.24, HS grade at US: r 0.29, ImTG score at US: r 0.25

The latter model adjusted for Age

Dependent Y

IMT

Independent variables

Coefficient

Std. Error

β

t

P

Eotaxin

0.0027

0.000032

0.32

2.8

0.0059

VAT

0.0014

0.0011

0.26

3.4

0.0010

AGE

0.0014

0.00023

0.58

6.20

<0.0001

  1. Zero order correlation coefficients: Eotaxin: r= 0.27, r= VAT: r= 0.33, Age r= 0.61.
  2. Multiple Regression Equations, Stepwise Method, using IMT or IL-17 as dependent variables. In blue is evidenced the regression line; in dark red the 95% prediction and in light red the 95% prediction. Chemokine (C-C motif) ligand 4 CCL4/MIP1β, Interferon-Gamma IFN-γ, Interleukin-17 IL-17, Interleukin-8 IL-8 C, Tumor Necrosis Factor alpha TNF-α, Interleukin-6 IL-6, Interleukin-17 IL-17.