Literature DB >> 30406394

Prehospital triage for mass casualty incidents using the META method for early surgical assessment: retrospective validation of a hospital trauma registry.

Rodolfo Romero Pareja1, Rafael Castro Delgado2,3, Fernando Turégano Fuentes4, Israel Jhon Thissard-Vasallo5, David Sanz Rosa5, Pedro Arcos González6.   

Abstract

BACKGROUND: In mass casualty incidents (MCI), death usually occurs within the first few hours and thus early transfer to a trauma centre can be crucial in selected cases. However, most triage systems designed to prioritize the transfer to hospital of these patients do not assess the need for surgery, in part due to inconclusive evidence regarding the value of such an assessment. Therefore, the aim of the present study was to evaluate the capacity of a new triage system-the Prehospital Advanced Triage Method (META)-to identify victims who could benefit from urgent surgical assessment in case of MCI.
METHODS: Retrospective, descriptive, observational study of a multipurpose cohort of patients included in the severe trauma registry of the Gregorio Marañón University General Hospital (Spain) between June 1993 and December 2011. All data were prospectively evaluated. All patients were evaluated with the META system to determine whether they met the criteria for urgent transfer. The META defines patients in need of urgent surgical assessment: (a) All penetrating injuries to head, neck, torso and extremities proximal to elbow or knee, (b) Open pelvic fracture, (c) Closed pelvic fracture with mechanical or haemodynamic instability and (d) Blunt torso trauma with haemodynamic instability. Patients who fulfilled these criteria were designated as "Urgent Evacuation for Surgical Assessment" (UESA) cases; all other cases were designated as non-UESA. The following variables were assessed: patient status at the scene; severity scales [RTS, Shock index, MGAP (Mechanism, Glasgow coma scale, Age, pressure), GCS]; need for surgery and/or interventional procedure to control bleeding (UESA); and mortality. The two groups (UESA vs. non-UESA) were then compared.
RESULTS: A total of 1882 cases from the database were included in the study. Mean age was 39.2 years and most (77%) patients were male. UESA patients presented significantly worse on-scene hemodynamic parameters (systolic blood pressure and heart rate) and greater injury severity (RTS, shock index, and MGAP scales). No differences were observed for respiratory rate, need for orotracheal intubation, or GCS scores. The anatomical injuries of patients in the UESA group were less severe but these patients had a greater need for urgent surgery and higher mortality rates.
CONCLUSION: These findings suggest that the META triage classification system could be beneficial to help identify patients with severe trauma and/or in need of urgent surgical assessment at the scene of injury in case of MCI. These findings demonstrate that, in this cohort, the META fulfils the purpose for which it was designed.

Entities:  

Keywords:  Mass casualty incidents; Prehospital Trauma care; Surgical assesment; Trauma scores; Triage

Mesh:

Year:  2018        PMID: 30406394     DOI: 10.1007/s00068-018-1040-6

Source DB:  PubMed          Journal:  Eur J Trauma Emerg Surg        ISSN: 1863-9933            Impact factor:   3.693


  44 in total

1.  National variability in out-of-hospital treatment after traumatic injury.

Authors:  Eileen M Bulger; Avery B Nathens; Frederick P Rivara; Ellen MacKenzie; Daniel R Sabath; Gregory J Jurkovich
Journal:  Ann Emerg Med       Date:  2006-09-15       Impact factor: 5.721

2.  Mass casualty triage: an evaluation of the data and development of a proposed national guideline.

Authors:  E Brooke Lerner; Richard B Schwartz; Phillip L Coule; Eric S Weinstein; David C Cone; Richard C Hunt; Scott M Sasser; J Marc Liu; Nikiah G Nudell; Ian S Wedmore; Jeffrey Hammond; Eileen M Bulger; Jeffrey P Salomone; Teri L Sanddal; David Markenson; Robert E O'Connor
Journal:  Disaster Med Public Health Prep       Date:  2008-09       Impact factor: 1.385

3.  Comparison of the Simple Triage and Rapid Treatment system versus the Prehospital Advanced Triage Model in multiple-casualty events.

Authors:  Mariana Ferrandini Price; Pedro Arcos González; Manuel Pardo Ríos; Antonio Nieto Fernández-Pacheco; Tatiana Cuartas Álvarez; Rafael Castro Delgado
Journal:  Emergencias       Date:  2018 Ago       Impact factor: 3.881

Review 4.  The influence of prehospital time on trauma patients outcome: a systematic review.

Authors:  A M K Harmsen; G F Giannakopoulos; P R Moerbeek; E P Jansma; H J Bonjer; F W Bloemers
Journal:  Injury       Date:  2015-01-16       Impact factor: 2.586

5.  Prehospital triage and survival of major trauma patients in a Dutch regional trauma system: relevance of trauma registry.

Authors:  Leontien M Sturms; Josephine M Hoogeveen; Saskia Le Cessie; Peter E Schenck; Paul V M Pahlplatz; Mike Hogervorst; Gerrolt N Jukema
Journal:  Langenbecks Arch Surg       Date:  2006-05-13       Impact factor: 3.445

6.  Systemic hypotension is a late marker of shock after trauma: a validation study of Advanced Trauma Life Support principles in a large national sample.

Authors:  Jennifer K Parks; Alan C Elliott; Larry M Gentilello; Shahid Shafi
Journal:  Am J Surg       Date:  2006-12       Impact factor: 2.565

7.  Does tachycardia correlate with hypotension after trauma?

Authors:  Gregory P Victorino; Felix D Battistella; David H Wisner
Journal:  J Am Coll Surg       Date:  2003-05       Impact factor: 6.113

8.  Prehospital care - scoop and run or stay and play?

Authors:  R Malcolm Smith; Alasdair K T Conn
Journal:  Injury       Date:  2009-11       Impact factor: 2.586

9.  Does START triage work? An outcomes assessment after a disaster.

Authors:  Christopher A Kahn; Carl H Schultz; Ken T Miller; Craig L Anderson
Journal:  Ann Emerg Med       Date:  2009-02-05       Impact factor: 5.721

10.  11 March 2004: The terrorist bomb explosions in Madrid, Spain--an analysis of the logistics, injuries sustained and clinical management of casualties treated at the closest hospital.

Authors:  J Peral Gutierrez de Ceballos; F Turégano-Fuentes; D Perez-Diaz; M Sanz-Sanchez; C Martin-Llorente; J E Guerrero-Sanz
Journal:  Crit Care       Date:  2004-11-03       Impact factor: 9.097

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  1 in total

1.  Effect of a prioritization score on the inter-hospital transfer time management of severe COVID-19 patients: a quasi-experimental intervention study.

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Journal:  Int J Qual Health Care       Date:  2022-03-28       Impact factor: 2.038

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