A New “TRISS-Like” Probability of Survival Model for Intubated Trauma Patients

Edward G. Davis, Ellen J. MacKenzie, William J. Sacco, Lawrence W. Bain, Robert F. Buckman, Howard R. Champion, Peter S.J. Lees

Research output: Contribution to journalArticlepeer-review

Abstract

Background:Prehospital trauma patient field intubations and paralyzations, using neuromuscular blocking agents before emergency department respiratory and neurologic assessments are made, bias assessments and outcome evaluations using probability-of-survival models, such as TRISS and A Severity Characterization of Trauma (ASCOT). We present a newly developed “TRISS-like” probability-of-survival model for intubated blunt- and penetrating-injured patient assessment.Methods:From a population of 51,397 consecutively admitted trauma patients, this study used all 5,740 (11.2% of the total injured population) intubated patients with complete data from a statewide trauma registry from October 1, 1993, to September 30, 1996. Model performance was evaluated using standard calibration and discrimination measures and z and W statistics of significance.Results:The new model accurately predicted survival for blunt- and penetrating-injured intubated patients and is applicable to 11 etiologic patient populations.Conclusion:Study findings suggest that the new TRISS-like model should be used to assess both blunt- and penetrating-injured intubated patients. Use of this new model provides an analytical method for addressing a significant limitation of both the standard TRISS and ASCOT models, which are not applicable to intubated injured patient assessment. In addition, use of this model will complement TRISS/ASCOT assessments of nonintubated trauma patients and thus permit appropriate assessments for both intubated and nonintubated injured patient study populations.

Original languageEnglish (US)
Pages (from-to)53-60
Number of pages8
JournalJournal of Trauma
Volume55
Issue number1
DOIs
StatePublished - Jul 2003

ASJC Scopus subject areas

  • Surgery
  • Critical Care and Intensive Care Medicine

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