Table 4.
Results of Logistic Regression on 180-day Mortality
| Predictor | Coefficient, β | SE | |Z| | P value | OR = exp(β) | 95% CIa |
|---|---|---|---|---|---|---|
| Intercept | -5,3950 | 0,53060 | 10,17 | <0,0001 | 0,005 | 0.0015, 0.01216 |
| Age | 0,0472 | 0,00733 | 6,44 | <0,0001 | 1,048 | 1.034, 1.064 |
| NLR | 0,0294 | 0,01187 | 2,48 | 0,0133 | 1,030 | 1.005, 1.053 |
| Overall model-fitting | Value | df | P value | |||
| Hosmer-Lemeshow test | 11,77 | 8 | 0,1617 | |||
| LR (G-squared) test | 62,56 | 2 | <0.0001 | |||
| Tjur's R-squared | 0,0707 | |||||
The variables used in the multivariate regression model are presented. Overall model fitting analyses are described. A p-value less than 0.05 is considered significant
Acronyms: CI Confidence interval, df Degrees of freedom, NLR Neutrophil-to-lymphocyte ratio, LRT Log-likelihood ratio test, SE Standard error, OR Odds ratio
aBased on profile likelihood