Literature DB >> 29476943

Evolution and organisation of trauma systems.

Jean Stéphane David1, Pierre Bouzat2, Mathieu Raux3.   

Abstract

Over the last 20 years, numerous studies have fairly consistently reported an improvement in the prognosis of patients with severe trauma after the establishment of a trauma network. These systems can be either exclusive, in which all patients are referred only to a small number of specifically designated centres that meet strict criteria, or inclusive, in which patients may be referred to any hospital of a particular area according to capacity, which is observed in France. Hospitals are classified (level 1 to level 3) according to their technical facilities and the number of patients admitted for severe trauma, knowing that studies have also shown an improvement of the outcome for the most severely injured patients (haemorrhagic shock, severe head trauma), in hospitals with the greatest technical facilities and the most important activity. The triage of the patients to a suitable centre must be done after careful prehospital evaluation, which is made on clinical criteria (mechanism, injury, medical history), measurement of vital signs, calculation of scores (RTS, MGAP) or based on classifications. According to this assessment, the patients will then be triaged to a centre that has the capacity for the optimal and definitive management of these injuries. The goal is then to avoid under triage which is synonymous of retransfer, loss of time, and probably also prognosis worsening, and to avoid over triage that may induce an inadequate use of resources, activity overload and cost increase. Thus, it seems essential to develop trauma networks to improve mortality and morbidity of patients that undergone a severe injury. These trauma networks will then have to be evaluated and a register set up.
Copyright © 2018 Société française d'anesthésie et de réanimation (Sfar). Published by Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Network; Outcome; System; Trauma

Mesh:

Year:  2018        PMID: 29476943     DOI: 10.1016/j.accpm.2018.01.006

Source DB:  PubMed          Journal:  Anaesth Crit Care Pain Med        ISSN: 2352-5568            Impact factor:   4.132


  8 in total

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7.  The use of machine learning for investigating the role of plastic surgeons in anatomical injuries: A retrospective observational study.

Authors:  Nam Kyu Lim; Jong Hyun Park
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8.  Which injured patients with moderate fibrinogen deficit need fibrinogen supplementation?

Authors:  Jean-Stephane David; Aline Lambert; Xavier-Jean Taverna; Pascal Incagnoli; Marie-Odile Geay-Baillat; Olivia Vassal; Arnaud Friggeri; Kenji Inaba
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2021-12-24       Impact factor: 2.953

  8 in total

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