title: Predicting outcome in traumatic brain injury: Sharing experience of pilot traumatic brain injury registry.
abstract: BACKGROUND
  A reliable prediction of outcome for the victims of traumatic brain injury (TBI) on admission is possible from concurrent data analysis from any systematic real-time registry.
  
  
  OBJECTIVE
  To determine the clinical relevance of the findings from our TBI registry to develop prognostic futuristic models with readily available traditional and novel predictors.
  
  
  METHODS
  Prospectively collected data using predesigned pro forma were analyzed from the first phase of a trauma registry from a South Indian Trauma Centre, compatible with computerized management system at electronic data entry and web data entry interface on demographics, clinical, management, and discharge status.
  
  
  METHODS
  On univariate analysis, the variables withP< 0.15 were chosen for binary logistic model. On regression model, variables were selected with test of coefficient 0.001 and with NagelkerkeR2with alpha error of 5%.
  
  
  RESULTS
  From 337 cases, predominantly males from rural areas in their productive age, road traffic injuries accounted for two-thirds cases, one-fourths occurred during postmonsoon while two-wheeler was the most common prerequisite. Fifty percent of patients had moderate to severe brain injury; the most common finding was unconsciousness followed by vomiting, ear bleed, seizures, and traumatic amnesia. Fifteen percent required intracranial surgery. Patients with severe Glasgow coma scale score were 4.5 times likely to have the fatal outcome (P= 0.003). Other important clinical variables accountable for fatal outcomes were oral bleeds and cervical spine injury while imperative socio-demographic risk correlates were age and seasons.
  
  
  CONCLUSIONS
  TBI registry helped us finding predictors of clinical relevance for the outcomes in victims of TBI in search of prognostic futuristic models in TBI victims.
authors.affiliation: Department of Community Medicine, Andaman and Nicobar Islands Institute of Medical Sciences, Port Blair, India.
authors.forename: Ranabir
authors.initials: R
authors.lastname: Pal
authors.affiliation: VDRL Project, National Institute of Epidemiology, ICMR, Chennai, Tamil Nadu, India.
authors.forename: Ashok
authors.initials: A
authors.lastname: Munivenkatappa
authors.affiliation: Department of Neurosurgery, Narayana Medical College and Hospital, Nellore, Andhra Pradesh, India.
authors.forename: Amit
authors.initials: A
authors.lastname: Agrawal
authors.affiliation: Department of Health Research (Ministry of Health and Family Welfare), Division of Non-Communicable Diseases, Indian Council of Medical Research, New Delhi, India.
authors.forename: Geetha R
authors.initials: GR
authors.lastname: Menon
authors.affiliation: Department of Emergency Medicine, University of Florida, Jacksonville, Florida, USA.
authors.forename: Sagar
authors.initials: S
authors.lastname: Galwankar
authors.affiliation: Department of Pharmacology, Narayana Medical College and Hospital, Nellore, Andhra Pradesh, India.
authors.forename: P Rama
authors.initials: PR
authors.lastname: Mohan
authors.affiliation: Department of Emergency Medicine, Narayana Medical College and Hospital, Nellore, Andhra Pradesh, India.
authors.forename: S Satish
authors.initials: SS
authors.lastname: Kumar
authors.affiliation: Department of Forensic Medicine, Narayana Medical College and Hospital, Nellore, Andhra Pradesh, India.
authors.forename: B V
authors.initials: BV
authors.lastname: Subrahmanyam
keywords: Age; Glasgow coma scale score; oral bleed; registry; regression model; season; traumatic brain injury; univariate analysis