title: Has TRISS become an anachronism? A comparison of mortality between the National Trauma Data Bank and Major Trauma Outcome Study databases.
abstract: BACKGROUND
  The Trauma and Injury Severity Score (TRISS) has been the approach to trauma outcome prediction during the past 20 years and has been adopted by many commercial registries. Unfortunately, its survival predictions are based upon coefficients that were derived from a data set collected in the 1980s and updated only once using a data set collected in the early 1990s. We hypothesized that the improvements in trauma care during the past 20 years would lead to improved survival in a large database, thus making the TRISS biased.
  
  
  METHODS
  The TRISSs from the Pennsylvania statewide trauma registry (Collector, Digital Innovations) for the years 1990 to 2010. Observed-to-expected mortality ratios for each year of the study were calculated by taking the ratio of actual deaths (observed deaths, O) to the summation of the probability of mortality predicted by the TRISS taken over all patients (expected deaths, E). For reference, O/E ratio should approach 1 if the TRISS is well calibrated (i.e., has predictive accuracy).
  
  
  RESULTS
  There were 408,489 patients with complete data sufficient to calculate the TRISSs. There was a significant trend toward improved outcome (i.e., decreasing O/E ratio; nonparametric test of trend, p < 0.001) over time in both the total population and the blunt trauma subpopulation. In the penetrating trauma population, there was a trend toward improved outcome (decreasing O/E ratio), but it did not quite reach significance (nonparametric test of trend p = 0.073).
  
  
  CONCLUSIONS
  There is a steady trend toward improved O/E survival in the Pennsylvania database with each passing year, suggesting that the TRISS is drifting out of calibration. It is likely that improvements in care account for these changes. For the TRISS to remain an accurate outcome prediction model, new coefficients would need to be calculated periodically to keep up with trends in trauma care. This requirement for occasional updating is likely to be a requirement of any trauma prediction model, but because many other deficiencies in the TRISS have been reported, we think that rather than updating the TRISS, it would be more productive to replace the TRISS with a modern statistical model.
authors: Trauma Center, Lancaster General Health, Lancaster, PA 17602, USA. frogers2@lghealth.org
authors: Frederick B
authors: FB
authors: Rogers
authors: Turner
authors: T
authors: Osler
authors: Margaret
authors: M
authors: Krasne
authors: Amelia
authors: A
authors: Rogers
authors: Eric H
authors: EH
authors: Bradburn
authors: John C
authors: JC
authors: Lee
authors: Daniel
authors: D
authors: Wu
authors: Nathan
authors: N
authors: McWilliams
authors: Michael A
authors: MA
authors: Horst
mesh_terms: D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D002423:Cause of Death; D002648:Child; D002675:Child, Preschool; D016001:Confidence Intervals; D016208:Databases, Factual; D005260:Female; D017052:Hospital Mortality / Q000639:trends*; D006801:Humans; D015601:Injury Severity Score; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D016017:Odds Ratio; D010414:Pennsylvania; D011786:Quality Control; D012189:Retrospective Studies; D012680:Sensitivity and Specificity; D017678:Sex Distribution; D016019:Survival Analysis; D014193:Trauma Centers; D015599:Trauma Severity Indices; D016896:Treatment Outcome; D014947:Wounds and Injuries / Q000175:diagnosis / Q000401:mortality* / Q000628:therapy; D055815:Young Adult