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
| 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 | |||
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)
OR: Odds ratio; 95% CI: 95% confidence interval; IFN: interferon; IL: interleukin; TNF-α: tumor necrosis factor-α