PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 17, 2026Sleep Medicine0 citationsOpen Access

Why breath-by-breath tidal volume is useful for HMV monitoring?

View Full Paper
SKSonia KhiraniLGLucie GriffonASAurèle Hecham Sid

Key Result

Breath-by-breath tidal volume monitoring serves as a valuable adjunct to detect and characterize patient-ventilator asynchrony and uncoupling during home mechanical ventilation.

Key Points

  • This research explores the benefits of breath-by-breath tidal volume monitoring in home mechanical ventilation for detecting patient-ventilator asynchrony.
  • Illustrative cases presenting breath-by-breath tidal volume tracings
  • Assessment of respiratory events and patient-ventilator asynchrony
  • Expert clinical experience supporting tidal volume use in monitoring
  • Breath-by-breath tidal volume effectively characterizes some instances of patient-ventilator asynchrony
  • Breath-by-breath monitoring assists in identifying patient-ventilator uncoupling
  • Clinical cases highlight the utility of tidal volume tracings in absence of traditional patient effort measurements

Study Design

Type

Case Report

Structured PICO

P
Population
Pediatric patients on home mechanical ventilation (HMV)
I
Intervention
Monitoring HMV using breath-by-breath tidal volume (VT) tracings
O
Outcome
Detection and characterization of patient-ventilator asynchrony (PVA) and patient-ventilator uncoupling

Breath-by-breath tidal volume monitoring is a useful adjunct for detecting patient-ventilator asynchrony in pediatric home mechanical ventilation.

Abstract

Home mechanical ventilation (HMV), including noninvasive ventilation (NIV) and invasive mechanical ventilation, is increasingly used in pediatrics. Monitoring HMV is essential to guarantee an effective ventilation, but also to adjust the settings, when necessary. Monitoring HMV using breath-by-breath tracings, such as pressure, airflow and leaks, allows the detection of respiratory events and patient-ventilator asynchrony (PVA), when polysomnography/polygraphy is not available or feasible. Most built-in software provide the breath-by-breath tracing of tidal volume (VT), which appears to be helpful to characterize some PVA, and is of particular interest to identify patient-ventilator uncoupling, according to our clinical experience. We present a few cases illustrating the beneficial adjunct of breath-by-breath VT for PVA detection and characterization. We believe healthcare professionals should display and use breath-by-breath VT, when available on the built-in software, to ease HMV monitoring, especially in absence of other measurements of patient’s effort, such as thoraco-abdominal belts. • Monitoring HMV allows the detection of patient-ventilator asynchrony (PVA). • The breath-by-breath waveforms are essential as part of the monitoring toolbox. • Breath-by-breath tracing of tidal volume (VT) is helpful to characterize some PVA. • Breath-by-breath VT is a valuable adjunct to detect patient-ventilator uncoupling.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Khirani et al. (2026) conducted a case report in Home mechanical ventilation (HMV). Breath-by-breath tidal volume (VT) monitoring was evaluated on Detection and characterization of patient-ventilator asynchrony (PVA). Breath-by-breath tidal volume monitoring serves as a valuable adjunct to detect and characterize patient-ventilator asynchrony and uncoupling during home mechanical ventilation.

synapsesocial.com/papers/6a095ac47880e6d24efe0a38https://doi.org/10.1016/j.sleep.2026.109017
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Monitoring home mechanical ventilation: Polysomnography or built-in ventilator software?2026 · 2 citations
  2. 2Predictors of continuous positive airway pressure use during the first week of treatment2011 · 83 citations
  3. 3Proposal for a systematic analysis of polygraphy or polysomnography for identifying and scoring abnormal events occurring during non-invasive ventilation2010 · 175 citations
  4. 4Patterns of Continuous Positive Airway Pressure Adherence during the First 3 Months of Treatment in Children2011 · 86 citations
  5. 5How to use noninvasive positive airway pressure device data reports to guide clinical care2019 · 29 citations