Early prediction of outcome after severe traumatic brain injury: a simple and practical model.

ABSTRACT:

Background

Traumatic brain injury (TBI) is a heterogeneous syndrome with a broad range of outcome. We developed a simple model for long-term outcome prognostication after severe TBI.

Methods

Secondary data analysis of a large multicenter randomized trial. Patients were grouped according to 6-month extended Glasgow outcome scale (eGOS): poor-outcome (eGOS ≤ 4; severe disability or death) and acceptable outcome (eGOS > 4; no or moderate disability). A prediction decision tree was built using binary recursive partitioning to predict poor or acceptable 6-month outcome. Comparison to two previously published and validated models was made.

Results

The decision tree included the predictors of head Abbreviated Injury Scale (AIS) severity, the Marshall computed tomography scor

SUBMITTER: Rizoli S 

PROVIDER: S-EPMC4995825 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature