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Neurology India
Medknow Publications on behalf of the Neurological Society of India
ISSN: 0028-3886
EISSN: 0028-3886
Vol. 51, No. 3, 2003, pp. 345-349
Bioline Code: ni03113
Full paper language: English
Document type: Research Article
Document available free of charge

Neurology India, Vol. 51, No. 3, 2003, pp. 345-349

 en Outcome prediction model for severe diffuse brain injuries: Development and evaluation
Pillai SV, Kolluri VR, Praharaj SS


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.

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