Skip to main content

Table 2 Logistic regression analysis of demographic data, anti-IFN-γ autoAbs, and cytokine profiles for predicting severe/critical COVID-19 patients in the studied cohort

From: The detectable anti-interferon-γ autoantibodies in COVID-19 patients may be associated with disease severity

Baseline variables

Univariate model

Multivariate model

OR

95% CI

p value

OR

95% CI

p value

Age,  50 years

3.10

(1.39–6.91)

0.006

2.78

(1.22–6.37)

0.015

Gender

      

Female

Ref

     

Male

0.80

(0.38–1.71)

0.563

   

Anti-IFN-γ Ab titer

6.20

(1.51–25.4)

0.011

5.67

(1.33–24.18)

0.019

IFN-α2 level, pg/ml

0.43

(0.18–1.01)

0.053

   

IFN-γ level, pg/ml

0.94

(0.38–2.33)

0.907

   

IL-6 level, pg/ml

1.20

(0.52–2.77)

0.658

   

TNF-αlevel, pg/ml

1.84

(0.75–4.52)

0.182

   
  1. Variables in multivariate model (Forward: Conditional): age, gender, positivity, or titer of anti-IFN-γ Ab, IFN-α2, IFN-γ, IL-6, and TNF-α. Cut-off value: IFN-α2 (2.76 pg/ml), IFN-r (0.70 pg/ml), IL-6 (0.78 pg/ml), TNF-α (10.01 pg/ml)
  2. OR: Odds ratio; 95% CI: 95% confidence interval; IFN: interferon; IL: interleukin; TNF-α: tumor necrosis factor-α