Table 3.
Predictors of COVID-19 severity and mortality. Abbreviations; CVD, Cardiovascular diseases; GGO, Ground glass opacities; 95% CI, 95 percent confidence interval.
| Univariate analysis | Multivariate logistic regression | |||||
|---|---|---|---|---|---|---|
| Odds ratio | 95% CI | P value | Odds ratio | 95% CI | p-value | |
| Endpoint: COVID-19 Severity | ||||||
| Male sex | 1.76 | 1.26 to 2.46 | 0.0008 | |||
| Age > 60 years | 2.12 | 1.51 to 2.97 | < 0.0001 | |||
| Blood type O | 1.66 | 1.01 to 2.74 | 0.04 | |||
| Immunosuppression before COVID-19 | 0.4 | 0.22 to 0.72 | 0.0019 | 0.183 | 0.05 to 0.67 | 0.011 |
| ≥ 2 Comorbid conditions | 1.52 | 1.07 to 2.15 | 0.017 | |||
| 0 Comorbid conditions | 0.6 | 0.43 to 0.83 | 0.0026 | |||
| CVD | 1.99 | 1.30 to 3.04 | 0.0012 | |||
| Diabetes | 1.48 | 1.01 to 2.16 | 0.038 | |||
| Endpoint: COVID-19 related death | ||||||
| Age >60 years | 3.4 | 2.31 to 5.01 | < 0.0001 | 1.05 | 1.03 to 1.07 | < 0.0001 |
| ≥ 2 Comorbid conditions | 3.27 | 2.29 to 4.66 | < 0.0001 | |||
| Bilateral GGOs | 3.34 | 0.87 to 12.76 | 0.038 | |||
| Consolidations | 2.3 | 1.76 to 3.01 | < 0.0001 | 12 | 2.63 to 55.08 | 0.0013 |
| Ferritin ≥ 4000 ng/mL | 9.29 | 4.42 to 19.52 | < 0.0001 | 1 | 1 to 1 | < 0.0001 |
| Procalcitonin ≥ 1.5 ng/mL | 9.45 | 5.32 to 16.81 | < 0.0001 | |||
| D-Dimer ≥ 5000 ng/mL | 7.55 | 4.10 to 13.90 | < 0.0001 | 1 | 1 to 1 | < 0.0001 |