Table 4.
Multivariable analyses (logistic regression models) included dependent variables such as COVID-19-associated death and class 2 and 3 classifications according to the Siddiqi and Mehra classification and WHO clinical progression scale [12,13]. Independent variables were included in the model if there was a significant AUC ≥ 0.70 on ROC analysis or a statistically significant result on Chi² testing for dichotomous variables.
| Parameter | Prognostic for Class IIB and III (Siddiqi and Mehra) [12] |
Prognostic for Class III and IV (WHO) [13] |
Prognostic for COVID-19 Death |
|---|---|---|---|
| Ferritin | OR 1.0006, 95% CI 1.0001 to 1.0012, p = 0.026 | - | - |
| LDH | - | OR 2.7, 95% CI 1.4 to 5.0, p = 0.027 |
OR 4.2, 95% CI 1.8 to 10, p = 0.0012 |
| C-reactive protein | OR 4.5, 95% CI 2.2 to 9, p < 0.0001 |
OR 4.4, 95% CI 2.4 to 7.6, p < 0.0001 |
- |
| Age | OR 2.3, 95% CI 1.1 to 4.7, p = 0.021 | OR 2.3, 95% CI 1.2 to 4.4, p = 0.011 | OR 8.3, 95% CI 3.5 to 19.8, p < 0.0001 |
| Absence of cardiovascular diseases | OR 0.43, 95% CI 0.20 to 0.88, p = 0.022 | - | - |
| Lung diseases | - | OR 2.3, 95% CI 1.1 to 4.6, p = 0.013 | - |
| Absolute eosinopenia | OR 4.4, 95% CI 2.4 to 7.6, p < 0.0001 | OR 3.2, 95% CI 1.8 to 5.6, p = 0.0001 | OR 2.6, 95% CI 1.2 to 5.7, p = 0.017 |
| NLR | - | OR 2.5, 95% CI 1.3 to 4.9, p = 0.006 | OR 2.8, 95% CI 2.1.1 to 7.4, p = 0.035 |