Clinical elements that predict outcome after traumatic brain injury: A prospective multicenter recursive partitioning (decision-tree) analysis

Allen W Brown, James F. Malec, Robyn L. McClelland, Nancy N. Diehl, Jeffrey Englander, David X. Cifu

Research output: Contribution to journalArticle

135 Citations (Scopus)

Abstract

Traumatic brain injury (TBI) often presents clinicians with a complex combination of clinical elements that can confound treatment and make outcome prediction challenging. Predictive models have commonly used acute physiological variables and gross clinical measures to predict mortality and basic outcome endpoints. The primary goal of this study was to consider all clinical elements available concerning a survivor of TBI admitted for inpatient rehabilitation, and identify those factors that predict disability, need for supervision, and productive activity one year after injury. The Traumatic Brain Injury Model Systems (TBIMS) database was used for decision tree analysis using recursive partitioning (n = 3463). Outcome measures included the Functional Independence Measure™, the Disability Rating Scale, the Supervision Rating Scale, and a measure of productive activity. Predictor variables included all physical examination elements, measures of injury severity (initial Glasgow Coma Scale score, duration of post-traumatic amnesia [PTA], length of coma, CT scan pathology), gender, age, and years of education. The duration of PTA, age, and most elements of the physical examination were predictive of early disability. The duration of PTA alone was selected to predict late disability and independent living. The duration of PTA, age, sitting balance, and limb strength were selected to predict productive activity at 1 year. The duration of PTA was the best predictor of outcome selected in this model for all endpoints and elements of the physical examination provided additional predictive value. Valid and reliable measures of PTA and physical impairment after TBI are important for accurate outcome prediction.

Original languageEnglish (US)
Pages (from-to)1040-1051
Number of pages12
JournalJournal of Neurotrauma
Volume22
Issue number10
DOIs
StatePublished - Oct 2005

Fingerprint

Decision Trees
Amnesia
Decision Support Techniques
Physical Examination
Independent Living
Glasgow Coma Scale
Wounds and Injuries
Coma
Survivors
Traumatic Brain Injury
Inpatients
Rehabilitation
Extremities
Outcome Assessment (Health Care)
Databases
Pathology
Education
Mortality

Keywords

  • Amnesia
  • Closed head injury
  • Functional outcome
  • Impairment
  • Physical examination
  • Rehabilitation

ASJC Scopus subject areas

  • Clinical Neurology
  • Neuroscience(all)

Cite this

Clinical elements that predict outcome after traumatic brain injury : A prospective multicenter recursive partitioning (decision-tree) analysis. / Brown, Allen W; Malec, James F.; McClelland, Robyn L.; Diehl, Nancy N.; Englander, Jeffrey; Cifu, David X.

In: Journal of Neurotrauma, Vol. 22, No. 10, 10.2005, p. 1040-1051.

Research output: Contribution to journalArticle

Brown, Allen W ; Malec, James F. ; McClelland, Robyn L. ; Diehl, Nancy N. ; Englander, Jeffrey ; Cifu, David X. / Clinical elements that predict outcome after traumatic brain injury : A prospective multicenter recursive partitioning (decision-tree) analysis. In: Journal of Neurotrauma. 2005 ; Vol. 22, No. 10. pp. 1040-1051.
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