S'abonner

Development of regional extracorporeal life support system: The importance of innovative simulation training - 28/11/18

Doi : 10.1016/j.ajem.2018.04.030 
Mateusz Puślecki, Ph.D. a, b, , Marcin Ligowski, Ph.D. b, Marek Dąbrowski, M.Sc a, c, Sebastian Stefaniak, Ph.D. b, Małgorzata Ładzińska, M.Sc b, Aleksander Pawlak, M.Sc d, Marcin Zieliński, M.Sc a, d, Łukasz Szarpak, Ph.D., DPH e, Bartłomiej Perek b, Marek Jemielity b
a Poznan University of Medical Sciences, Department of Medical Rescue, Poznan, Poland 
b Poznan University of Medical Sciences, Department of Cardiac Surgery and Transplantology, Clinical Hospital SKPP, Poznan, Poland 
c Polish Society of Simulation Medicine, Poland 
d Voivodeship Emergency Station, Poznan, Poland 
e Medical University of Warsaw, Department of Emergency Medicine, Warsaw, Poland 

Corresponding author at: Department of Rescue and Disaster Medicine, Department of Cardiac Surgery and Transplantology, Poznan University of Medical Sciences, ul. Długa 1/2, 61-848 Poznań, Poland.Department of Rescue and Disaster MedicineDepartment of Cardiac Surgery and TransplantologyPoznan University of Medical Sciencesul. Długa 1/2Poznań61-848Poland

Abstract

Background

Despite advances in mechanical ventilation, severe acute respiratory distress syndrome (ARDS) is associated with high morbidity and mortality rates ranging from 30% to 60%. Extracorporeal Membrane Oxygenation (ECMO) can be used as a “bridge to recovery”. ECMO is a complex network that provides oxygenation and ventilation and allows the lungs to rest and recover from respiratory failure, while minimizing iatrogenic ventilator-induced lung injury. In the critical care settings, ECMO is shown to improve survival rates and outcomes in patients with severe ARDS. The primary objective was to present an innovative approach for using high-fidelity medical simulation before setting ECMO program for reversible respiratory failure (RRF) in Poland's first unique regional program “ECMO for Greater Poland”, covering a total population of 3.5 million inhabitants in the Greater Poland region (Wielkopolska).

Aim and methods

Because this organizational model is complex and expensive, we use advanced high-fidelity medical simulation to prepare for the real-life implementation. The algorithm was proposed for respiratory treatment by veno-venous (VV) Extracorporeal Membrane Oxygenation (ECMO). The scenario includes all critical stages: hospital identification (Regional Department of Intensive Care) - inclusion and exclusion criteria matching using an authorship protocol; ECMO team transport; therapy confirmation; veno-venous cannulation of mannequin's artificial vessels and implementation of perfusion therapy and transport with ECMO to another hospital in a provincial city (Clinical Department of Intensive Care), where the VV ECMO therapy was performed in the next 48 h, as training platform.

Results

The total time, by definition, means the time from the first contact with the mannequin to the cannulation of artificial vessels and starting VV perfusion on ECMO, did not exceed 3 h – including 75 min of transport (the total time of simulation with first call from provincial hospital to admission to the Clinical Intensive Care department was 5 h). The next 48 h for perfusion simulation “in situ” generated a specific learning platform for intensive care personnel. Shortly after this simulation, we performed, the first in the region: ECMO used for RRF treatment. The transport was successful and exceeded 120 km. During first year of Program duration we performed 6 successful ECMO transports (5 adult and 1 paediatric) with 60% of adult patient survival of ECMO therapies. Three patients in good condition were discharged to home. Two years old patient was successfully disconnected from ECMO and in stabile condition is treated in Paediatric Department.

Conclusions

We discovered the important role of medical simulation, not only as an examination for testing the medical professional's skills, but also as a mechanism for creating non-existent procedures. During debriefing, it was found that the previous simulation-based training allowed to build a successful procedural chain, to eliminate errors at the stage of identification, notification, transportation and providing ECMO perfusion therapy.

Le texte complet de cet article est disponible en PDF.

Abbreviations : RRF, ARDS, ECMO

Keywords : RRF, Reversible respiratory failure, ECMO, Perfusion, Extracorporeal life support, Medical simulation


Plan


 This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.


© 2018  Elsevier Inc. Tous droits réservés.
Ajouter à ma bibliothèque Retirer de ma bibliothèque Imprimer
Export

    Export citations

  • Fichier

  • Contenu

Vol 37 - N° 1

P. 19-26 - janvier 2019 Retour au numéro
Article précédent Article précédent
  • Comparison of bedside screening methods for frailty assessment in older adult trauma patients in the emergency department
  • Sachita P. Shah, Kevin Penn, Stephen J. Kaplan, Michael Vrablik, Karl Jablonowski, Tam N. Pham, May J. Reed
| Article suivant Article suivant
  • Apneic oxygenation reduces hypoxemia during endotracheal intubation in the pediatric emergency department
  • Adam A. Vukovic, Holly R. Hanson, Shelley L. Murphy, Danielle Mercurio, Craig A. Sheedy, Donald H. Arnold

Bienvenue sur EM-consulte, la référence des professionnels de santé.
L’accès au texte intégral de cet article nécessite un abonnement.

Déjà abonné à cette revue ?

Mon compte


Plateformes Elsevier Masson

Déclaration CNIL

EM-CONSULTE.COM est déclaré à la CNIL, déclaration n° 1286925.

En application de la loi nº78-17 du 6 janvier 1978 relative à l'informatique, aux fichiers et aux libertés, vous disposez des droits d'opposition (art.26 de la loi), d'accès (art.34 à 38 de la loi), et de rectification (art.36 de la loi) des données vous concernant. Ainsi, vous pouvez exiger que soient rectifiées, complétées, clarifiées, mises à jour ou effacées les informations vous concernant qui sont inexactes, incomplètes, équivoques, périmées ou dont la collecte ou l'utilisation ou la conservation est interdite.
Les informations personnelles concernant les visiteurs de notre site, y compris leur identité, sont confidentielles.
Le responsable du site s'engage sur l'honneur à respecter les conditions légales de confidentialité applicables en France et à ne pas divulguer ces informations à des tiers.


Tout le contenu de ce site: Copyright © 2024 Elsevier, ses concédants de licence et ses contributeurs. Tout les droits sont réservés, y compris ceux relatifs à l'exploration de textes et de données, a la formation en IA et aux technologies similaires. Pour tout contenu en libre accès, les conditions de licence Creative Commons s'appliquent.