TABLE 5.
Binary Logistic regression analysis for predictors of COVID-19 infection severity.
| OR (95% CI) | p Value | |
|---|---|---|
| TMPRSS2 (rs12329760) (CT + TT) | 17.65 (5.1–61.1) | <0.001 |
| ACE2 (rs2285666) (CT + TT) | 9.9 (3.2–30.9) | <0.001 |
| Neutrophils | 1.12 (1.07–1.18) | <0.001 |
| Ferritin | 0.99 (0.98–1.0) | <0.001 |
| CRP | 0.97 (0.95–0.99) | 0.002 |
| Lymphocytes | 1.09 (1.03–1.16) | 0.003 |
| Comorbidity | 4.85 (1.63–14.36) | 0.004 |
| D-Dimer | 0.99 (0.98–1.0) | 0.007 |
| Platelets | 1.01 (1.0–1.01) | 0.024 |
| Male sex | 0.54 (0.21–1.36) | 0.193 |
| High risk occupation | 1.61 (0.61–4.24) | 0.331 |
| LDH | 1.0 (0.99–1.01) | 0.339 |
| WBCs | 0.98 (0.93–1.13) | 0.720 |
| Age | 1.0 (0.97–1.03) | 0.757 |
OR, Odds ratio; CI 95%, Confidence interval at 95%; WBCs, white blood cells; CRP, C- reactive protein; LDH, lactate dehydrogenase; ACE2, Angiotensin converting enzyme 2; TMPRSS2, Transmembrane serine protease 2; C, cytosine; T, thymine.