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Optimizing patient-ventilator synchrony in non-invasive ventilation

6 avis
Vyaire Medical

Vyaire Medical

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  • Médecine intensive et réanimation, Infirmier Diplomé d’Etat (IDE), Masseur-Kinésithérapeute, Thérapeute Respiratoire, Anesthésie - réanimation, Infirmier en Pratique Avancée (IPA), Infirmier Anesthésiste Diplomé d’Etat (IADE)
  • 1 jour de formation   /   Durée effective : 1h
  • 1000 participants par session
  • Anglais

Détails de la formation

Patient-ventilator synchrony during non-invasive ventilation is

associated with better tolerance and patient comfort1. However,

asynchrony is still common and may lead to increased work of

breathing and non-invasive ventilation failure2. Modern ventilators

have many tools to aid with patient-ventilator synchrony, including

the automation of synchrony tools, such as rise time control,

inspiration termination control and leak compensation.

This lecture will discuss:

•The importance of achieving better patient-ventilator synchrony and the complexity of asynchronies

•Detection of asynchronies

•Ventilator strategies to optimize patient-ventilator synchrony

•Automation of synchrony tools


Lluís Blanch M.D., PhD – Critical Care Consultant, Parc Taulí University Hospital, Sabadell, Barcelona, Spain. Director of the Parc Taulí Research and Innovation Institute. Associate Professor of Medicine.

Stefano Nava, M.D. – Professor of Medicine, Chief of Respiratory and Critical Care Unit, S.Orsola Malpighi Hospital, Bologna, Italy.

This program has been approved for 1.00 contact hour Continuing Respiratory Care Education (CRCE) credit by the American Association for Respiratory Care, 9425, N. MacArthur Blvd, Suite 100, Irving TX 75063



1: Hess DR. Patient-ventilator interaction during noninvasive ventilation. Respir Care. 2011 Feb;56(2):153-65; discussion 165-7. doi: 10.4187/respcare.01049. PMID: 21333176.

2: Al Otair HA, BaHammam AS. Ventilator- and interface-related factors influencing patient-ventilator asynchrony during noninvasive ventilation. Ann Thorac Med. 2020 Jan-Mar;15(1):1-8. doi: 10.4103/atm.ATM_24_19. Epub 2020 Jan 2. PMID: 32002040; PMCID: PMC6967144.


Appréciation générale

4.3 / 5


4.3 / 5


4.3 / 5

Connaissances acquises

4.2 / 5


4.2 / 5