Literature DB >> 25284234

Pre-hospital rescue times and actions in severe trauma. A comparison between two trauma systems: Germany and the Netherlands.

Alexander Timm1, Marc Maegele2, Rolf Lefering3, Klaus Wendt4, Hendrik Wyen5.   

Abstract

INTRODUCTION: The aim of this study was to compare the effect of national pre-hospital rescue strategies on the status of severely injured patients at the time of admission to a Trauma Center (TC) in Germany or the Netherlands. PATIENTS AND METHODS: This retrospective database analysis based on the TraumaRegister DGU(®) (TR-DGU) of the German Trauma Society compares the pre-hospital trauma system of Germany with three Trauma Centers (TCs) from the Netherlands. It comprises trauma patients from 2009 to 2012 admitted to a Level I TC, all patients aged 16-80 years primarily admitted with an ISS ≥ 16 and data available for mode of transport, pre-hospital measures and total pre-hospital time. Additionally three subgroups were formed by mode of transportation and involved personnel: Ambulance/Physician, Helicopter/Physician, Ambulance/EMT. Primary endpoint is the patient's status at the time of admission to the trauma room. Secondary endpoint is hospital mortality.
RESULTS: A total of 12,168 patients met the inclusion criteria. Major differences in the injury patterns, pre-hospital rescue time, transport strategy and actions are documented. The mean ISS in the German overall group was 28.6 ± 12.2 compared to 27.4 ± 12.8 in the Dutch overall group. In the subgroups the highest injury severity with 29.8 ± 12.7 for German patients and 31.0 ± 14.6 for Dutch patients was found in the Helicopter/Physician subgroups and the lowest in patients transported by ambulance under emergency medical technician (EMT) care i.e. 24.2 ± 8.9 for German patients and 23.6 ± 10.3 for Dutch patients. The mean total pre-hospital time for patients admitted to Dutch TCs of 53.8 ± 28.7 min was 15.1 min shorter than for patients transported to German TCs 68.7 ± 28.6 min. The overall mean pre-hospital volume replacement of 1103 ± 821 ml for German patients was about twice as high as for Dutch patients (541 ± 700 ml). In physician led subgroups in the Netherlands higher rates of intubation, catecholamine administration and chest tubes are recorded. The basic vital signs from on-scene to hospital admission did not show relevant changes. Additional parameters available in the trauma room revealed a lower mean Base Excess (BE) for Dutch patients and a diminished mean prothrombin ratio for German patients. No reliable evidence was found that differences in the mortality analysis resulted from different national pre-hospital strategy.
CONCLUSIONS: Many differences in the national pre-hospital strategy were demonstrated but the effect on patient's status at the time of admission to trauma room remains unclear. A follow-up study, which mitigates the now known injury patterns has to be initiated to further substantiate the findings of this study.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Emergency medical services; Germany; International comparison; Major trauma; Pre-hospital care; Rescue times; The Netherlands

Mesh:

Year:  2014        PMID: 25284234     DOI: 10.1016/j.injury.2014.08.017

Source DB:  PubMed          Journal:  Injury        ISSN: 0020-1383            Impact factor:   2.586


  19 in total

1.  Association of Prehospital Time to In-Hospital Trauma Mortality in a Physician-Staffed Emergency Medicine System.

Authors:  Tobias Gauss; François-Xavier Ageron; Marie-Laure Devaud; Guillaume Debaty; Stéphane Travers; Delphine Garrigue; Mathieu Raux; Anatole Harrois; Pierre Bouzat
Journal:  JAMA Surg       Date:  2019-12-01       Impact factor: 14.766

2.  Are large fracture trials really possible? What we have learned from the randomized controlled damage control study?

Authors:  Eva Steinhausen; Bertil Bouillon; Dieter Rixen
Journal:  Eur J Trauma Emerg Surg       Date:  2017-12-28       Impact factor: 3.693

Review 3.  Impact of Trauma System Structure on Injury Outcomes: A Systematic Review and Meta-Analysis.

Authors:  Lynne Moore; Howard Champion; Pier-Alexandre Tardif; Brice-Lionel Kuimi; Gerard O'Reilly; Ari Leppaniemi; Peter Cameron; Cameron S Palmer; Fikri M Abu-Zidan; Belinda Gabbe; Christine Gaarder; Natalie Yanchar; Henry Thomas Stelfox; Raul Coimbra; John Kortbeek; Vanessa K Noonan; Amy Gunning; Malcolm Gordon; Monty Khajanchi; Teegwendé V Porgo; Alexis F Turgeon; Luke Leenen
Journal:  World J Surg       Date:  2018-05       Impact factor: 3.352

4.  Pre-hospital rescue times and interventions in severe trauma in Germany and the Netherlands: a matched-pairs analysis.

Authors:  Alexander Timm; Marc Maegele; Klaus Wendt; Rolf Lefering; Hendrik Wyen
Journal:  Eur J Trauma Emerg Surg       Date:  2018-07-16       Impact factor: 3.693

5.  Epidemiology and outcome of penetrating injuries in a Western European urban region.

Authors:  P Störmann; K Gartner; H Wyen; T Lustenberger; I Marzi; S Wutzler
Journal:  Eur J Trauma Emerg Surg       Date:  2016-01-13       Impact factor: 3.693

6.  Prehospital response model and time to CT scan in blunt trauma patients; an exploratory analysis of data from the head injury retrieval trial.

Authors:  Alan A Garner; Kristy P Mann; Elwyn Poynter; Andrew Weatherall; Susan Dashey; Michael Puntis; Val Gebski
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2015-03-20       Impact factor: 2.953

7.  Outcomes after helicopter versus ground emergency medical services for major trauma--propensity score and instrumental variable analyses: a retrospective nationwide cohort study.

Authors:  Asuka Tsuchiya; Yusuke Tsutsumi; Hideo Yasunaga
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2016-11-29       Impact factor: 2.953

8.  Severe thoracic trauma - still an independent predictor for death in multiple injured patients?

Authors:  Michael Grubmüller; Maximilian Kerschbaum; Eva Diepold; Katharina Angerpointner; Michael Nerlich; Antonio Ernstberger
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2018-01-08       Impact factor: 2.953

9.  Effect of private versus emergency medical systems transportation in trauma patients in a mostly physician based system- a retrospective multicenter study based on the TraumaRegister DGU®.

Authors:  Stephan Huber; Moritz Crönlein; Francesca von Matthey; Marc Hanschen; Fritz Seidl; Chlodwig Kirchhoff; Peter Biberthaler; Rolf Lefering; Stefan Huber-Wagner
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2016-04-27       Impact factor: 2.953

10.  Leveraging Machine Learning Techniques and Engineering of Multi-Nature Features for National Daily Regional Ambulance Demand Prediction.

Authors:  Adrian Xi Lin; Andrew Fu Wah Ho; Kang Hao Cheong; Zengxiang Li; Wentong Cai; Marcel Lucas Chee; Yih Yng Ng; Xiaokui Xiao; Marcus Eng Hock Ong
Journal:  Int J Environ Res Public Health       Date:  2020-06-11       Impact factor: 3.390

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