Table 4.
Multivariate Regression Analysis to Predict the Effect of Independent Variables on CRP, Ferritin, D-Dimer, or SpO2
| Dependent Variables | Models | Independent Variables | B | p-value | Tolerance | VIF |
|---|---|---|---|---|---|---|
| CRP | Neutrophil | 7.814 | <0.0001 | 0.311 | 3.214 | |
| Ferritin | NLR | 23.476 | <0.0001 | 0.458 | 2.184 | |
| D-dimer | NO | 0.629 | <0.0001 | 0.502 | 1.992 | |
| SpO2 | Model 1 | NLR | −2.543 | <0.0001 | 1.000 | 1.000 |
| Model 2 | NLR | −1.928 | <0.0001 | 0.458 | 2.184 | |
| NO | −0.229 | 0.040 | 0.502 | 1.992 |
Notes: Multivariate regression applied the independent variables (Lymphocyte, neutrophil, NLR, SOD, zinc, copper, D-dimer, GPx, Catalase, NO, MDA, TAC and Vitamin C) to know the association of them with each of CRP, ferritin, D-dimer, or SpO2 separately. The stepwise method was applied to exclude variables that were no associated with Dependent Variables. A p-value of less than 0.05 was considered statistically significant.
Abbreviations: B, regression coefficient; CRP, C-reactive protein; D-dimer, fibrin degradation product; NO, nitric oxide; NLR, neutrophil/lymphocyte ratio; SpO2, oxygen saturation; VIF, variance inflation factor.