Prediction of neurosurgical intervention after mild @entity131 using the national XXXX data bank.

@entity1 @entity131 @entity548 @entity510 @entity772 @entity1913 @entity130
INTRODUCTION: @entity1 with mild @entity131 ( @entity131 ) as defined by an admission Glasgow @entity772 Score (GCS) of 14-15 often do not require neurosurgical interventions, but which @entity1 will go on to require neurosurgical care has been difficult to predict. We hypothesized that injury patterns would be associated with need for eventual neurosurgical intervention in mild @entity131 . METHODS: The National @entity130 Databank (2007-2012) was queried for @entity1 with @entity1913 and a diagnosis of @entity131 with an emergency department GCS of 14-15. @entity1 were stratified by age and @entity130 . Multiple logistic regression for neurosurgical intervention was run with @entity1 demographics, physiologic variables, and injury diagnoses as dependent variables. RESULTS: The study included 50,496 @entity1 , with an overall 8.8  % rate of neurosurgical intervention. Neurosurgical intervention rates varied markedly according to @entity130 , and were only correlated with age for @entity1 with epidural and @entity548 . In multiple logistic regression, @entity131 diagnoses were predictive of need for neurosurgical interventions; moreover, after controlling for @entity130 and severity score, age was not significantly associated with requiring neurosurgical intervention. CONCLUSIONS: We found that in mild @entity131 , injury pattern is associated with eventual need for neurosurgical intervention. @entity1 with @entity131 or @entity510 are much less likely to require neurosurgical intervention, and the effects of age are not significant after controlling for other @entity1 factors. Prospective studies should validate this finding so that treatment guidelines can be updated to better allocate ICU resources.
