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. 2013 Jun 1;30(11):946–957. doi: 10.1089/neu.2012.2579

Table 3A.

Multivariate Logistic Regression Predicting GOS Outcome Using Clinical/Demographic Variables and CSF S100b Trajectory Groups

Independent variable Odds ratio 95% CI p-value
Using S100b trajectory groups
 Age 0.64 (0.50, 0.83) 0.001
 Injury severity (GCS) 1.32 (1.04, 1.70) 0.022
 Subdural hematoma 0.34 (0.15, 0.74) 0.007
 S100b low group 5.92 (1.64, 21.41) 0.007
 S100b intermediate group 3.32 (1.36, 8.07) 0.008
Using mean S100b levels
 Age 0.62 (0.47, 0.80) <0.001
 Injury severity (GCS) 1.39 (1.10, 1.77) 0.006
 Subdural hematoma 0.42 (0.19, 0.91) 0.027
 Contusion 0.48 (0.23, 0.99) 0.049
 S100b mean levels 0.95 (0.86, 1.04) 0.229
Using peak S100b levels
 Age 0.59 (0.46, 0.77) <0.001
 Injury severity (GCS) 1.36 (1.07, 1.72) 0.013
 Subdural hematoma 0.42 (0.20, 0.91) 0.027
 S100b peak levels 0.83 (0.64, 1.09) 0.176

GOS, Glasgow Outcome Scale; CSF, cerebrospinal fluid; CI, confidence interval; GCS, Glasgow Coma Scale.

Bolded values represent statistically significant comparisons where alpha<0.05.