Table 8.

Ordinal Logistic Regression (GOS-E Upon Age, GCS, and Quantitative CT (qCT) Predictors

Component	Main constituents of component (from Table 5)	Estimate (95% CI)	Standard error	Wald	p Value
1	GCS, cisterns	1.19 (0.63, 1.74)	0.28	17.6	0.00003***
2	Midline shift (distance), cistern effacement, SDH volume	−0.38 (−0.91, 0.15)	0.27	2.0	0.16
3	Age	−0.59 (−1.06, −0.13)	0.24	6.2	0.013*
4	SDH volume, midline shift (distance)	−1.29 (−2.05, −0.53)	0.39	10.9	0.001***
5	SAH/IPH volume	−0.45 (−0.91, 0.01)	0.23	3.6	0.056
6	EDH volume	0.46 (−0.33, 1.26)	0.41	1.3	0.25
7	Cistern effacement, midline shift	−0.97 (−1.52, −0.43)	0.28	12.1	0.0005***

^*p≤0.05; ^***p≤0.001.

Estimated B coefficients and corresponding significance levels in an ordinal logistic regression model of 6-month GOS-E on age, GCS, and quantitative computed tomography (qCT) predictors using logit link function. As shown, Components 1, 3, 4, and 7 (in boldface) are statistically significant predictors of the dependent variable, the 6-month GOS-E, in this model. The major clinical and quantitative CT predictors that drive each component (extracted from Table 5) are summarized in the second column. As shown, Component 4, driven primarily by subdural hematoma volume, and to lesser degree midline shift, demonstrates the largest magnitude of the B coefficient (with corresponding odds ratio, exp-B, per unit reduction in the 6-month GOS-E). Components 1, 3, and 7, driven predominantly by GCS, age, and cistern effacement, also demonstrated significant contributions to the model.

GOS-E, Extended Glasgow Outcome Score; GCS, Glasgow Coma Scale.