Dependent variable | Independent variable | OR | 95% CI | P value |
|---|
Severity (Severe vs. non-severe) | IL-17 | 1.208 | 0.993–1.470 | 0.058 |
MCP-1 | 0.993 | 0.953–1.035 | 0.751 |
OPN | 2.113 | 1.280–3.489 | 0.003 |
IFN-γ | 1.007 | 0.995–1.020 | 0.247 |
CB2 | 124.483 | 5.700-2718.392 | 0.002 |
MOR | 49.264 | 2.067-1174.294 | 0.016 |
- Table 4 presents the results of the logistic regression model analyzing the relationship between the dependent variable (Severity - Severe vs. non-severe) and independent variables (IL-17, MCP-1, OPN, IFN-γ, CB2, MOR). Key points to note include:
- Odds Ratios (OR) with their corresponding 95% Confidence Intervals (CI) and P values are provided for each variable
- Logistic regression was utilized to assess the predictive values of the independent variables in determining disease severity
- These results contribute to understanding the impact of IL-17, MCP-1, OPN, IFN-γ, CB2, and MOR on the severity of SARS-CoV-2 infection, providing valuable insights into potential prognostic factors
