title: Improving the predictive ability of the ICD-based Injury Severity Score.
abstract: OBJECTIVE
  To assess whether the use of integrated hospitalization and mortality data sources and/or the inclusion of comorbidity improve the predictive ability of the International Classification of Disease (ICD)-based Injury Severity Score (ICISS).
  
  
  METHODS
  Models using either the ICISS based solely on hospital discharge data or one of nine modified ICISSs as the predictor variable were assessed on their ability to predict survival using logistic regression modeling.
  
  
  METHODS
  New Zealand. Patients or
  
  
  METHODS
  Inpatients, with an S00-T89 ICD-10-AM principal diagnosis, and fatalities, with any S00-T89 ICD-10-AM diagnosis, occurring in 2000-2003.
  
  
  METHODS
  None.
  
  
  METHODS
  Models were compared in terms of their discrimination (concordance), calibration, and goodness-of-fit.
  
  
  RESULTS
  186 835 cases including 9968 deaths met the inclusion criterion. The modified ICISS that included both mortality data and Charlson comorbid conditions at the ICD-10-AM level had the best concordance and high calibration. Calibration curves indicated that scores using hospital discharge data only to calculate survival risk ratios underestimated mortality, whereas scores using hospital discharge and mortality data overestimated mortality.
  
  
  CONCLUSIONS
  Valid measurement of injury severity is important for both meaningful research and surveillance and to assist in classifying information to meet specific injury policy, prevention, and control needs. This study suggests that the predictive ability of ICISS would be improved if both mortality and comorbidity data were included in its calculation.
authors.affiliation: Department Preventive and Social Medicine, Injury Prevention Research Unit, University of Otago, Dunedin, New Zealand. gabrielle.davie@ipru.otago.ac
authors.forename: G
authors.initials: G
authors.lastname: Davie
authors.forename: C
authors.initials: C
authors.lastname: Cryer
authors.forename: J
authors.initials: J
authors.lastname: Langley
mesh_terms: D006259:Craniocerebral Trauma / Q000401:mortality; D004812:Epidemiologic Methods; D006760:Hospitalization / Q000706:statistics & numerical data; D006801:Humans; D015601:Injury Severity Score; D009520:New Zealand / Q000453:epidemiology; D011379:Prognosis; D014947:Wounds and Injuries / Q000401:mortality