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<a href="http://doi.org/10.1016/j.ajem.2015.08.021" target="_blank" rel="noreferrer noopener">http://doi.org/10.1016/j.ajem.2015.08.021</a>
Pages
1687–1691
Issue
11
Volume
33
Dublin Core
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Title
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Simple Triage Algorithm and Rapid Treatment and Sort, Assess, Lifesaving, Interventions, Treatment, and Transportation mass casualty triage methods for sensitivity, specificity, and predictive values.
Publisher
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The American journal of emergency medicine
Date
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2015
2015-11
Subject
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*Algorithms; *Emergency Service; *Mass Casualty Incidents; *Triage; 80 and over; 80 and Over; Adolescence; Adolescent; Adult; Aged; Algorithms; Emergency Service; Female; Hospital; Humans; Male; Mass Casualty Incidents; Middle Age; Middle Aged; Pilot Projects; Pilot Studies; Predictive Value of Tests; Retrospective Design; Retrospective Studies; Scales; Triage; Wounds and Injuries – Diagnosis; Wounds and Injuries – Mortality; Wounds and Injuries – Therapy; Wounds and Injuries/*diagnosis/mortality/therapy; Young Adult
Creator
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Bhalla Mary Colleen; Frey Jennifer; Rider Cody; Nord Michael; Hegerhorst Mitch
Description
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OBJECTIVE: Two common mass casualty triage algorithms are Simple Triage Algorithm and Rapid Treatment (START) and Sort, Assess, Lifesaving, Interventions, Treatment, and Transportation (SALT). We sought to determine the START and SALT efficacy in predicting clinical outcome by appropriate triage. METHODS: We performed a retrospective chart review of trauma registry of patients from our emergency department (ED). We applied the triage algorithms to 100 patient charts. The end points categories were defined by patient outcomes and the need for intervention: minor/green, discharged without intervention other than minor ED procedure; delayed/yellow, patients get an intervention more than 12 hours after arrival to the ED; immediate/red, patients get an intervention less than 12 hours after arrival; dead/expectant/black, patients die within 48 hours after arrival. RESULTS: The mean age was 47 years (range, 17-92 years), and 72% were male. The mechanism of injury was 41% motor vehicle collision, 32% fall, and 16% penetrating trauma. Hospital outcome was 60% minor/green, 5% delayed/yellow, 29% immediate/red, and 6% dead/black. The SALT method resulted in 5 patients overtriaged (95% confidence interval [CI], 1.6-11.2), 30 undertriaged (95% CI, 21.2-40), and 65 met triage level (95% CI, 54.8-74.3). The START method resulted in 12 overtriage (95% CI, 6.4-20), 33 undertriaged (95% CI, 23.9-43.1), and 55 at triage level (95% CI, 44.7-65). Within triage levels, sensitivity ranged from 0% to 92%, specificity from 55% to 100%, positive predictive values from 10% to 100%, and negative predictive value from 65% to 97%. CONCLUSION: Overall, neither SALT nor START was sensitive or specific for predicting clinical outcome.
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<a href="http://doi.org/10.1016/j.ajem.2015.08.021" target="_blank" rel="noreferrer noopener">10.1016/j.ajem.2015.08.021</a>
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Article information provided for research and reference use only. All rights are retained by the journal listed under publisher and/or the creator(s).
*Algorithms
*Emergency Service
*Mass Casualty Incidents
*Triage
2015
80 and over
Adolescence
Adolescent
Adult
Aged
Algorithms
Bhalla Mary Colleen
Emergency Service
Female
Frey Jennifer
Hegerhorst Mitch
Hospital
Humans
Male
Mass Casualty Incidents
Middle Age
Middle Aged
Nord Michael
Pilot Projects
Pilot Studies
Predictive Value of Tests
Retrospective Design
Retrospective Studies
Rider Cody
Scales
The American journal of emergency medicine
Triage
Wounds and Injuries – Diagnosis
Wounds and Injuries – Mortality
Wounds and Injuries – Therapy
Wounds and Injuries/*diagnosis/mortality/therapy
Young Adult