Table 4.
Crude and adjusted* logistic regression analysis for predictability of death according to different factors at baseline.
| Variables | Crude | Adjusted |
|---|---|---|
| OR (95% CI) p value | OR (95% CI) p value | |
| Severity | ||
| Severe | 4.750 (0.957-23.572) p=0.057 | 3.518 (0.593-20.874) p=0.166 |
| Moderate* | ||
| Obesity | ||
| Yes | 7.200 (1.933-26.812) p=0.003 | 8.103 (2.067-31.768) p=0.003 |
| No* | ||
| Haemoglobin | 0.624 (0.408-0.955)p=0.030 | 0.703 (0.416-1.186) p=0.187 |
| Seg Neutrophils | 1.145 (1.027-1.278) p=0.015 | 1.303 (1.064-1.596) p=0.010 |
| Lymphocytes | 0.821 (0.696-0.967) p=0.018 | 0.726 (0.563-0.936) p=0.013 |
| SaFiO2 | 0.985 (0.974-0.996) p=0.007 | 0.987 (0.976-0.998) p=0.025 |
| IL-6 | 1.012 (0.996-1.028) p=0.157 | 1.011 (0.994-1.030) p=0.212 |
| GMCSF | 2.220 (1.166-4.224) p=0.015 | 2.222 (0.977-5.050) p=0.057 |
| IL-15 | 1.332 (1.026-1.730) p=0.031 | 1.233 (0.939-1.620) p=0.132 |
| IL-2 | 3.089 (1.153-8.274) p=0.025 | 2.555 (0.839-7.778) p=0.099 |
| IL-8 | 1.121 (0.977-1.287) p=0.103 | ($) |
| IL1a | 1.056 (0.953-1.169) p=0.297 | 1.026 (0.920-1.146) p=0.641 |
| MIPα | 1.374 (0.933-2.022) p=0.108 | 1.397 (0.931-2.097) p=0.106 |
| MCP-1 | 1.001 (1.000-1.001) p=0.010 | 1.002 (0.999-1.004) p=0.112 |
| Zonulin | 2.573 (1.371-4.828) p=0.003 | 2.666 (1.310-5.426) p=0.007 |
*Adjustment for age, gender, and obesity. Obesity was adjusted for age and gender only. Cytokines were adjusted for age and obesity only due to collinearity issues with gender. ($): Value could not be computed as log likelihood = 0.