Literature DB >> 18924008

Establishing the need for trauma center care: anatomic injury or resource use?

Craig D Newgard1, Jerris R Hedges, Brian Diggs, Richard J Mullins.   

Abstract

OBJECTIVE: It remains unclear whether the "need" for care at a trauma center should be based on anatomic injury (the current standard) or specialized resource use. We investigated whether anatomic injury severity scores adequately explain hospital resource use.
METHODS: This was a retrospective cohort study including children and adults meeting statewide trauma criteria and transported to 48 hospitals from 1998 to 2003. The injury severity score (ISS) was considered as both continuous (range 0-75) and categorical (0-8, 9-15, and >or= 16) terms. Specialized resource use was defined as: major surgery (with and without orthopedic intervention), mechanical ventilation > 96 hours, blood transfusion, intensive care unit (ICU) stay >or= 2 days, or in-hospital mortality. Resource use was assessed as both a binary variable and a continuous term. Descriptive statistics and simple and multivariable linear regressions were used to compare ISS and resource use.
RESULTS: 33,699 injured persons were included in the analysis. Within mild, moderate, and serious anatomic injury categories, 8%, 26%, and 69%, respectively, had specialized resource use. When the resource use definition included orthopedic surgery, 12%, 49%, and 76%, respectively, had specialized resource use. Whereas there was fair correlation between ISS and additive resource use (rho = 0.61), ISS explained only 37% of the variability in resource use (adjusted R-squared = 0.37). Resource use within anatomic injury categories differed by age group.
CONCLUSIONS: The standard anatomic injury criterion for trauma center "need" (i.e., ISS >or= 16) misclassifies a substantial number of injured persons requiring critical trauma resources. Out-of-hospital trauma triage guidelines based on anatomic injury may need revision to account for patients with resource need.

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Year:  2008        PMID: 18924008     DOI: 10.1080/10903120802290737

Source DB:  PubMed          Journal:  Prehosp Emerg Care        ISSN: 1090-3127            Impact factor:   3.077


  14 in total

1.  Deciphering the use and predictive value of "emergency medical services provider judgment" in out-of-hospital trauma triage: a multisite, mixed methods assessment.

Authors:  Craig D Newgard; Michael Kampp; Maria Nelson; James F Holmes; Dana Zive; Thomas Rea; Eileen M Bulger; Michael Liao; John Sherck; Renee Y Hsia; N Ewen Wang; Ross J Fleischman; Erik D Barton; Mohamud Daya; John Heineman; Nathan Kuppermann
Journal:  J Trauma Acute Care Surg       Date:  2012-05       Impact factor: 3.313

2.  Systolic blood pressure criteria in the National Trauma Triage Protocol for geriatric trauma: 110 is the new 90.

Authors:  Joshua B Brown; Mark L Gestring; Raquel M Forsythe; Nicole A Stassen; Timothy R Billiar; Andrew B Peitzman; Jason L Sperry
Journal:  J Trauma Acute Care Surg       Date:  2015-02       Impact factor: 3.313

3.  Understanding traumatic shock: out-of-hospital hypotension with and without other physiologic compromise.

Authors:  Craig D Newgard; Eric N Meier; Barbara McKnight; Ian R Drennan; Derek Richardson; Karen Brasel; Martin Schreiber; Jeffrey D Kerby; Delores Kannas; Michael Austin; Eileen M Bulger
Journal:  J Trauma Acute Care Surg       Date:  2015-02       Impact factor: 3.313

4.  Injury hospitalization as a marker for emergency medical services use in elderly patients.

Authors:  Ross J Fleischman; K John McConnell; Annette L Adams; Jerris R Hedges; Craig D Newgard
Journal:  Prehosp Emerg Care       Date:  2010 Oct-Dec       Impact factor: 3.077

5.  Crash Telemetry-Based Injury Severity Prediction is Equivalent to or Out-Performs Field Protocols in Triage of Planar Vehicle Collisions.

Authors:  Katherine He; Peng Zhang; Stewart C Wang
Journal:  Prehosp Disaster Med       Date:  2019-07-19       Impact factor: 2.040

6.  Validation of length of hospital stay as a surrogate measure for injury severity and resource use among injury survivors.

Authors:  Craig D Newgard; Ross Fleischman; Esther Choo; O John Ma; Jerris R Hedges; K John McConnell
Journal:  Acad Emerg Med       Date:  2010-02       Impact factor: 3.451

7.  Prehospital triage of trauma patients using the Random Forest computer algorithm.

Authors:  Michelle Scerbo; Hari Radhakrishnan; Bryan Cotton; Anahita Dua; Deborah Del Junco; Charles Wade; John B Holcomb
Journal:  J Surg Res       Date:  2013-07-13       Impact factor: 2.192

8.  Injured patients who would benefit from expedited major trauma centre care: a consensus-based definition for the United Kingdom.

Authors:  Gordon Fuller; Samuel Keating; Janette Turner; Josh Miller; Chris Holt; Jason E Smith; Fiona Lecky
Journal:  Br Paramed J       Date:  2021-12-01

9.  The Whole is Greater Than the Sum of its Parts: GCS Versus GCS-Motor for Triage in Geriatric Trauma.

Authors:  Andrew-Paul Deeb; Heather M Phelos; Andrew B Peitzman; Timothy R Billiar; Jason L Sperry; Joshua B Brown
Journal:  J Surg Res       Date:  2021-01-22       Impact factor: 2.192

10.  Hospital stay as a proxy indicator for severe injury in earthquakes: a retrospective analysis.

Authors:  Lu-Ping Zhao; Martin Gerdin; Lina Westman; Jose Manuel Rodriguez-Llanes; Qi Wu; Barbara van den Oever; Liang Pan; Manuel Albela; Gao Chen; De-Sheng Zhang; Debarati Guha-Sapir; Johan von Schreeb
Journal:  PLoS One       Date:  2013-04-09       Impact factor: 3.240

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