title: Predictors of extended rehabilitation length of stay after traumatic brain injury.
abstract: OBJECTIVE
  To develop a prediction rule for acutely identifying patients at risk for extended rehabilitation length of stay (LOS) after traumatic brain injury (TBI) by using demographic and injury characteristics.
  
  
  METHODS
  Retrospective cohort study.
  
  
  METHODS
  Traumatic Brain Injury Model Systems.
  
  
  METHODS
  Sample of TBI survivors (N=7284) with injuries occurring between 1999 and 2009.
  
  
  METHODS
  Not applicable.
  
  
  METHODS
  Extended rehabilitation LOS defined as 67 days or longer.
  
  
  RESULTS
  A multivariable model was built containing FIM motor and cognitive scores at admission, preinjury level of education, cause of injury, punctate/petechial hemorrhage, acute-care LOS, and primary payor source. The model had good calibration, excellent discrimination (area under the receiver operating characteristic curve = .875), and validated well. Based on this model, a formula for determining the probability of extended rehabilitation LOS and a prediction rule that classifies patients with predicted probabilities greater than 4.9% as at risk for extended rehabilitation LOS were developed.
  
  
  CONCLUSIONS
  The current predictor model for TBI survivors who require extended inpatient rehabilitation may allow for enhanced rehabilitation team planning, improved patient and family education, and better use of health care resources. Cross-validation of this model with other TBI populations is recommended.
authors.affiliation: Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, 23298, USA. jcarangolasp@vcu.edu
authors.forename: Juan Carlos
authors.initials: JC
authors.lastname: Arango-Lasprilla
authors.forename: Jessica M
authors.initials: JM
authors.lastname: Ketchum
authors.forename: David
authors.initials: D
authors.lastname: Cifu
authors.forename: Flora
authors.initials: F
authors.lastname: Hammond
authors.forename: Camilo
authors.initials: C
authors.lastname: Castillo
authors.forename: Elizabeth
authors.initials: E
authors.lastname: Nicholls
authors.forename: Thomas
authors.initials: T
authors.lastname: Watanabe
authors.forename: Anthony
authors.initials: A
authors.lastname: Lequerica
authors.forename: Xiaoyan
authors.initials: X
authors.lastname: Deng
mesh_terms: D000328:Adult; D001930:Brain Injuries / Q000534:rehabilitation*; D015331:Cohort Studies; D004522:Educational Status; D005260:Female; D006801:Humans; D019458:Insurance Coverage / Q000706:statistics & numerical data*; D007348:Insurance, Health / Q000706:statistics & numerical data*; D007902:Length of Stay / Q000706:statistics & numerical data*; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D020127:Recovery of Function; D012189:Retrospective Studies; D015599:Trauma Severity Indices