Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Using ventilator graphics to identify patient-ventilator asynchrony.

Jon O Nilsestuen1, Kenneth D Hargett

  • 1Department of Respiratory Care, University of Texas Medical Branch, School of Allied Health Sciences, 301 University Boulevard, Galveston TX 77555-1028, USA. jnilsest@utmb.edu

Respiratory Care
|February 5, 2005
PubMed
Summary

Patient-ventilator asynchrony occurs when the patient

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Mechanical Insufflation-Exsufflation Implementation and Management, Aided by Graphics Analysis.

Chest·2023
Same author

Patient ventilator asynchrony in critically ill adults: frequency and types.

Heart & lung : the journal of critical care·2014
See all related articles

Area of Science:

  • Mechanical Ventilation
  • Respiratory Physiology
  • Critical Care Medicine

Background:

  • Patient-ventilator interaction involves two pumps: the patient's respiratory system and the mechanical ventilator.
  • Synchrony between these pumps ensures optimal breathing, while asynchrony increases patient discomfort and work of breathing.
  • Asynchrony can arise during any of the four phases of a mechanical breath: triggering, inspiratory flow, breath termination, and expiration.

Purpose of the Study:

  • To discuss patient-ventilator asynchrony in the context of the four phases of a mechanical breath.
  • To illustrate how ventilator waveforms (pressure, flow, volume) can identify asynchrony.
  • To highlight specific adjustments for different ventilation modes to improve synchrony.

Main Methods:

  • Review of patient-ventilator interaction principles.
  • Analysis of asynchrony across four breath phases: triggering, inspiratory flow, breath termination, and expiration.
  • Illustration of asynchrony detection using pressure, flow, and volume waveforms.

Main Results:

  • Asynchrony can occur during inspiration initiation (triggering), inspiratory flow delivery, and breath termination.
  • Ventilator waveforms are crucial for identifying patient-ventilator asynchrony.
  • Intrinsic positive end-expiratory pressure (auto-PEEP) in patients with obstructive lung disease can impede ventilator triggering.

Conclusions:

  • Optimizing patient-ventilator synchrony is essential for patient comfort and reducing work of breathing.
  • Understanding breath phases and waveform analysis aids in diagnosing and correcting asynchrony.
  • Routine bedside evaluation for auto-PEEP and appropriate adjustments are necessary, especially in patients with obstructive lung disease.

Related Experiment Videos