title: Statistical validation of the Revised Trauma Score.
abstract: BACKGROUND
  To validate the accuracy of the Revised Trauma Score (RTS) and its components for predicting in-hospital mortality.
  
  
  METHODS
  Analyses were based on 22,388 patients from the trauma registries of three urban Level I trauma centers in the province of Quebec, Canada. The accuracy of RTS coded variables for the Glasgow Coma Score (GCSc), Systolic Blood Pressure (SBPc), and Respiratory Rate (RRc) for predicting mortality was evaluated in logistic regression models with measures of discrimination and model fit and compared with Fractional Polynomial (FP) transformations of each component.
  
  
  RESULTS
  RTS coded variables were associated with sparse data distributions and did not accurately represent the relation of GCS, SBP, and RR to mortality. FP models were always associated with significantly better discrimination (all p < 0.00001) and model fit. Survival probability estimates generated by the model with FP transformations were significantly different to those generated by the model with RTS-coded variables.
  
  
  CONCLUSIONS
  The RTS in its present form does not accurately describe the relation of GCS, SBP, and RR to mortality. FP transformation would improve the accuracy of predicted survival probabilities used for performance evaluation and may improve control of confounding caused by of physiologic severity case mix in trauma research.
authors.affiliation: Centre hospitalier affilié universitaire de Québec, Enfant-Jésus Hospital, Quebec City, Canada. Lynne.moore@cha.quebec.qc.ca
authors.forename: Lynne
authors.initials: L
authors.lastname: Moore
authors.forename: André
authors.initials: A
authors.lastname: Lavoie
authors.forename: Natalie
authors.initials: N
authors.lastname: LeSage
authors.forename: Belkacem
authors.initials: B
authors.lastname: Abdous
authors.forename: Eric
authors.initials: E
authors.lastname: Bergeron
authors.forename: Moishe
authors.initials: M
authors.lastname: Liberman
authors.forename: Marcel
authors.initials: M
authors.lastname: Emond
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001794:Blood Pressure; D015986:Confounding Factors, Epidemiologic; D016002:Discriminant Analysis; D005260:Female; D017052:Hospital Mortality; D006801:Humans; D016015:Logistic Models; D008297:Male; D008390:Markov Chains; D008875:Middle Aged; D009010:Monte Carlo Method; D011237:Predictive Value of Tests; D011792:Quebec / Q000453:epidemiology; D012042:Registries; D012119:Respiration; D016019:Survival Analysis; D014193:Trauma Centers; D015599:Trauma Severity Indices; D014947:Wounds and Injuries / Q000145:classification* / Q000175:diagnosis / Q000401:mortality* / Q000503:physiopathology