Box 1.

Predicting Global Functional Outcome (GOSE) for Two Different Patients Based on the Clinical Model

Patient 1: Woman, 44 years, mild systemic disease (mild obesity), psychiatric history (depression), TBI caused by motor vehicle accident (MVA), GCS 14, Total ISS 9, one nonreactive pupil.

Linear predictor (lp) = 0.965+(-0.010*44)+(-0.263*1)+(-0.533*1)+(0.269*1)+(-0.169*1)+(0.099*log(9))+

(-0.193*(log(9)^2))+(-0.502*1)

1/(1 + exp – lp ) = 0.2 = 20% probability of complete return to preinjury functioning

Patient 2: Man, 32 years, no systemic disease, no psychiatric history, TBI caused by fall, GCS 15, Total ISS 2, reactive pupils.

lp = 0.965+(0.403*1)+(-0.010*32)+(0.549*1)+(0.099*log(2))+(-0.193*(log(2)^2))

1/(1 + exp – lp ) = 0.83 = 83% probability of complete recovery to preinjury functioning

GOSE, Glasgow Outcome Scale Extended; GCS; Glasgow Coma Score; ISS, Injury Severity Score.