Table 3. Summary of the logistic regression model.
Regression function = -2.899 + (GCS * -0.228) + (Age * 0.031) + (ISS * 0.040) + (Lactate * 0.216) + (Base excess * -0.043) + (pH * -0.091)
GCS, Glasgow Coma Scale; ISS, Injury Severity Score
β coefficient | Wald statistics | p-Value | OR (95% CI) | |
GCS | -0.228 | 175.2 | <0.001 | 0.796 (0.770 to 0.824) |
Age | 0.031 | 89.5 | <0.001 | 1.032 (1.025 to 1.039) |
ISS | 0.040 | 73.3 | <0.001 | 1.041 (1.031 to 1.050) |
Lactate | 0.216 | 32.9 | <0.001 | 1.241 (1.153 to 1.336) |
Base excess | -0.043 | 3.4 | 0.065 | 0.958 (0.915 to 1.003) |
pH | -0.091 | 0.02 | 0.899 | 0.913 (0.223 to 3.732) |
Constant | -2.899 | 0.3 | 0.586 | NA |