Outcome prediction model for severe diffuse brain injuries: Development and evaluation

tcome prediction models were prospectively applied in a separate group of 26 patients with severe diffuse brain injury managed with a different protocol. Results: The most important predictors of poor outcome were found to be the horizontal oculocephalic reflex, motor score of GCS, and midline shift on CT scan. NM was found to be more sensitive (75%) and specific (67%) than most other models in predicting unfavorable outcome. NM had high false pessimistic results (33%). Conclusion: Prediction models cannot be used to guide initial therapy.