Clustering identifies endotypes of traumatic brain injury in an intensive care cohort: a CENTER-TBI study.
Åkerlund CAI., Holst A., Stocchetti N., Steyerberg EW., Menon DK., Ercole A., Nelson DW., CENTER-TBI Participants and Investigators None.
BACKGROUND: While the Glasgow coma scale (GCS) is one of the strongest outcome predictors, the current classification of traumatic brain injury (TBI) as 'mild', 'moderate' or 'severe' based on this fails to capture enormous heterogeneity in pathophysiology and treatment response. We hypothesized that data-driven characterization of TBI could identify distinct endotypes and give mechanistic insights. METHODS: We developed an unsupervised statistical clustering model based on a mixture of probabilistic graphs for presentation (