Literature DB >> 16294092

Prehospital prediction of intensive care unit stay and mortality in blunt trauma patients.

Belinda J Gabbe1, Peter A Cameron, Rory Wolfe, Pam Simpson, Karen L Smith, John J McNeil.   

Abstract

BACKGROUND: The success of a trauma system relies on transfer of patients from the field to the most appropriate hospital for definitive care. However, no consensus has been reached regarding the best criteria or triage tool for identifying patients injured seriously enough to warrant transfer to a trauma center.
METHODS: Predictors of mortality and intensive care unit stay were identified and prediction models developed in a design data set. The performance of these models was evaluated in a test data set and compared with current trauma triage guidelines, derived from the American College of Surgeons model.
RESULTS: The newly developed prediction models performed comparably with the current trauma triage guidelines.
CONCLUSION: Although the performance of newly developed triage models was promising, their performance did not exceed that of the current trauma triage guidelines. In particular, the anatomic injury criteria appeared to be the key component of the current trauma triage guidelines.

Entities:  

Mesh:

Year:  2005        PMID: 16294092     DOI: 10.1097/01.ta.0000174840.35406.71

Source DB:  PubMed          Journal:  J Trauma        ISSN: 0022-5282


  5 in total

1.  Enhancing the fever workup utilizing a multi-technique modeling approach to diagnose infections more accurately.

Authors:  Adam M A Fadlalla; Joseph F Golob; Jeffrey A Claridge
Journal:  Surg Infect (Larchmt)       Date:  2010-07-28       Impact factor: 2.150

2.  Prehospital identification of major trauma patients.

Authors:  Gürbey Ocak; Leontien M Sturms; Josephine M Hoogeveen; Saskia Le Cessie; Gerrolt N Jukema
Journal:  Langenbecks Arch Surg       Date:  2008-06-26       Impact factor: 3.445

3.  Refining the trauma triage algorithm at an Australian major trauma centre: derivation and internal validation of a triage risk score.

Authors:  M M Dinh; K J Bein; M Oliver; A-S Veillard; R Ivers
Journal:  Eur J Trauma Emerg Surg       Date:  2013-07-31       Impact factor: 3.693

4.  Treatment provider is most predictive of ED dismissal in minimally-injured trauma patients: a retrospective review.

Authors:  Diane L S Hunt; Gina M Berg; Rosalee E Zackula; Francie H Ekengren; Diana Lippoldt; Elizabeth Ablah; Ruth Wetta
Journal:  J Trauma Manag Outcomes       Date:  2013-05-16

5.  Reduced population burden of road transport-related major trauma after introduction of an inclusive trauma system.

Authors:  Belinda J Gabbe; Ronan A Lyons; Mark C Fitzgerald; Rodney Judson; Jeffrey Richardson; Peter A Cameron
Journal:  Ann Surg       Date:  2015-03       Impact factor: 12.969

  5 in total

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