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. 2020 Dec 28;88(3):619–626. doi: 10.1093/neuros/nyaa474

TABLE 3.

Shrunken Coefficients for the Variables Chosen From L1-Regularized Logistic Regression Models Predicting 6-mo favorable GOS

Variable Model 1 (baseline + 1 wk DRS) Model 2 (baseline + 1 and 2 wk DRS) Model 3 (baseline + 1, 2, and 3 wk DRS) Model 4 (baseline + 1, 2, 3, and 4 wk DRS)
(Intercept) 2.882 2.719 3.452 3.285
IMPACT probability of poor GOS score (lab model) −0.024 −0.022 −0.016 −0.017
Age (yr) −0.030 −0.009 −0.022 −0.021
ISS 0 0 0 0
Epidural hematoma 0.597 0.100 0.396 0.370
Motor component of GCS (at enrollment) 0 0 0 0
Glasgow Coma Scale score (at enrollment), continuous 0.022 0 0 0
Glasgow Coma Scale score (at enrollment), categorized
 GCS > 8, reference
 GCS 6 to 8 0 0 0 0
 GCS 3 to 5 0 0 0 0
Marshall CT scan (ED)
 Mass lesion (evacuated/unevacuated, reference)
 Diffuse injury 2 0.323 0 0 0
 Diffuse injury 3 0 0 0 0
Glucose (ED), mmol/L 0 0 0 0
Hemoglobin (ED), g/dL 0 0 0 0
Male −0.039 0 0 0
Prehospital hypotension 0 0 0 0
Prehospital hypoxia 0 0 0 0
Intubated in ER 0 0 0 0
Mechanism of injury
 Assault (reference)
 Fall/jump 0 0 0 0
 Motor vehicle 0 0 0 0
 Motorcycle 0.286 0 0.271 0.590
 Other −0.366 0 0 0
Pupil reactivity
 Both (Reference)
 Neither −0.210 0 0 0
 1 0 0 0 0
Subarachnoid hemorrhage 0 0 0 0
Surgery on admission −0.126 −0.204 −0.374 −0.358
Week 1 DRS −0.107 0 0 0
Week 2 DRS NA −0.100 0 0
Week 3 DRS NA NA −0.149 −0.001
Week 4 DRS NA NA NA −0.159

These coefficients makeup the actual prediction model using the usual logistic regression equation:

logit (Prob(GOS = favorable)) =2.882 – 0.024 × (IMPACT score) – 0.030 × age + 0.597 × (epidural hematoma) + 0.022 × (GCS sum) + 0.323 × (diffuse injury 2 on Marshall CT scan) – 0.039 × male +0.286 × (motorcycle injury) –0.366 × (other mechanism of injury) – 0.210 × (neither pupil reactive) – 0.126 × (surgery on admission) – 0.107(week 1 DRS). To get the probability, we use the formula Inline graphic, where the summation is the right side of the equation just above.