Sub-classifying patients with mild traumatic brain injury

A clustering approach based on baseline clinical characteristics and 90-day and 180-day outcomes

Bing Si, Gina Dumkrieger, Teresa Wu, Ross Zafonte, Alex B. Valadka, David O. Okonkwo, Geoffrey T. Manley, Lujia Wang, David William Dodick, Todd J Schwedt, Jing Li

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Background The current classification of traumatic brain injury (TBI) into “mild”, “moderate”, or “severe” does not adequately account for the patient heterogeneity that still exists within each of these categories. The objective of this study was to identify “sub-groups” of mild TBI (mTBI) patients based on data available at the time of the initial post-TBI patient evaluation and to determine if the sub-grouping correlates with patient outcomes at 90 and 180 days post-TBI. Methods Data from patients in the TRACK-TBI Pilot dataset who had a Glasgow Coma Scale (GCS) score of 13 to 15 at arrival to the Emergency Department and a closed head injury were included. Considering 53 clinical variables that are typically available during the initial evaluation of the patient with mild TBI, sparse heirarchial clustering with cluster quality assessment was used to identify the optimal number of patient sub-groups. Patient sub-groups were then compared for ten outcomes measured at 90 or 180 days post-TBI. Results Amongst the 485 patients with mTBI, optimal clustering was based on the inclusion of 12 clinical variables that divided the patients into 5 mild TBI sub-groups. Clinical variables driving the sub-clustering included: gender, employment status, marital status, TBI due to falling, brain CT scan result, systolic blood pressure, diastolic blood pressure, administration of IV fluids in the Emergency Department, alcohol use, tobacco use, history of neurologic disease, and history of psychiatric disease. These 5 mild TBI sub-groups differed in their 90 day and 180 day outcomes within several domains including global outcomes, persistence of TBI-related symptoms, and neuropsychological impairment. Conclusions Sub-groups of patients with mTBI can be identified according to clinical variables that are relatively easy to obtain at the time of initial patient evaluation. A patient’s sub-group assignment is associated with multidimensional patient outcomes at 90 and 180 days. These findings support the notion that there are clinically meaningful subgroups of patients amongst those currently classified as having mTBI.

Original languageEnglish (US)
Article numbere0198741
JournalPLoS One
Volume13
Issue number7
DOIs
StatePublished - Jul 1 2018

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Brain Concussion
Cluster Analysis
Brain
brain
Blood pressure
Blood Pressure
History
Hospital Emergency Service
Accidental Falls
Computerized tomography
Tobacco
tobacco use
Closed Head Injuries
marital status
coma
Glasgow Coma Scale
nervous system diseases
diastolic blood pressure

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

Cite this

Sub-classifying patients with mild traumatic brain injury : A clustering approach based on baseline clinical characteristics and 90-day and 180-day outcomes. / Si, Bing; Dumkrieger, Gina; Wu, Teresa; Zafonte, Ross; Valadka, Alex B.; Okonkwo, David O.; Manley, Geoffrey T.; Wang, Lujia; Dodick, David William; Schwedt, Todd J; Li, Jing.

In: PLoS One, Vol. 13, No. 7, e0198741, 01.07.2018.

Research output: Contribution to journalArticle

Si, Bing ; Dumkrieger, Gina ; Wu, Teresa ; Zafonte, Ross ; Valadka, Alex B. ; Okonkwo, David O. ; Manley, Geoffrey T. ; Wang, Lujia ; Dodick, David William ; Schwedt, Todd J ; Li, Jing. / Sub-classifying patients with mild traumatic brain injury : A clustering approach based on baseline clinical characteristics and 90-day and 180-day outcomes. In: PLoS One. 2018 ; Vol. 13, No. 7.
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AU - Manley, Geoffrey T.

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