Table 3.
Univariable and multivariable logistic regression model for training cohort patients
| Variables | Univariate analysis | Multivariate analysis | ||||
|---|---|---|---|---|---|---|
| OR | 95% CI | P value | OR | 95% CI | P value | |
| Age | 2.790 | 1.501–5.185 | 0.001 | 2.654 | 1.363–5.167 | 0.004 |
| CRP | 0.285 | 0.148–0.548 | < 0.001 | 0.437 | 0.216–0.885 | 0.021 |
| Lymphocyte | 3.806 | 2.376–6.097 | < 0.001 | 3.496 | 2.104–5.808 | < 0.001 |
| Monocyte (%) | 0.425 | 0.271–0.665 | < 0.001 | |||
| RBC | 2.193 | 1.370–3.512 | 0.001 | |||
| Hematocrit | 2.543 | 1.584–4.085 | < 0.001 | 2.266 | 1.356–3.786 | 0.002 |
| MCHC | 0.489 | 0.290–0.824 | 0.007 | |||
| PLR | 0.326 | 0.207–0.513 | < 0.001 | |||
Age, CRP, Lymphocyte, Monocyte (%), RBC, Hematocrit, MCHC and PLR were identified based on LASSO regression
Abbreviations: CRP C-reactive protein, RBC Red blood cell, MCHC Mean red blood cell hemoglobin concentration, PLR Platelet to lymphocyte ratio