ArticleCritical care (London, England)2022
Timing of inspiratory muscle activity detected from airway pressure and flow during pressure support ventilation: the waveform method.
Article in Critical care (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06357780 (Closed-loop syncHronization vErsuS convenTional Synchronization in sPontaneously Breathing Adult Nonivasive Ventilation Patients), which is not on this map. Cited by 13 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Closed-loop syncHronization vErsuS convenTional Synchronization in sPontaneously Breathing Adult Nonivasive Ventilation Patients (CHEST-SPAN) - a Randomized Cross-over Trial
Who cites it
13 citing papers in PubMed.
- Closed-loop synchronization versus conventional synchronization in spontaneously breathing pediatric patients (CHESTSIPP) - a randomized controlled cross-over study.Frontiers in medicine · 2026Trial
- The effects of real-time waveform analysis software on patient ventilator synchronization during pressure support ventilation: a randomized crossover physiological study.BMC pulmonary medicine · 2024Trial
- Impact on the ability of healthcare professionals to correctly identify patient-ventilator asynchronies of the simultaneous visualization of estimated muscle pressure curves on the ventilator display: a randomized study (PCritical care (London, England) · 2023Trial
- Automatic Detection of Onset and Offset of Respiratory Electromyographic Activity in Severe COPD Patients on Non-Invasive Mechanical Ventilation.IEEE journal of translational engineering in health and medicine · 2026Article
- Monitoring of invasive assisted mechanical ventilation: a good clinical practice document by the Italian Society of Anesthesia, Analgesia, Resuscitation, and Intensive Care (SIAARTI).Journal of anesthesia, analgesia and critical care · 2025Review
- Lung injury promoted by strong inspiratory efforts and breath stacking: impact of ventilation mode.Intensive care medicine experimental · 2025Article
- Tracking control of air flow based on a fractional-order model of the lung impedance.Scientific reports · 2025Article
- Assessing inspiratory drive and effort in critically ill patients at the bedside.Critical care (London, England) · 2025Review
- Patient-ventilator synchrony under non-invasive ventilation is improved by an automated real time waveform analysis algorithm: a bench study.Intensive care medicine experimental · 2025Article
- Cycling the Breath in Noninvasive Home Ventilation.Journal of clinical medicine · 2024Article
- Automated characterization of patient-ventilator interaction using surface electromyography.Annals of intensive care · 2024Article
- Esophageal Pressure Measurement: A Primer.Respiratory care · 2023Article
- Monitoring Systems in Home Ventilation.Journal of clinical medicine · 2023Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWhether respiratory efforts and their timing can be reliably detected during pressure support ventilation using standard ventilator waveforms is unclear. This would give the opportunity to assess and improve patient-ventilator interaction without the need of special equipment.
methodsIn 16 patients under invasive pressure support ventilation, flow and pressure waveforms were obtained from proximal sensors and analyzed by three trained physicians and one resident to assess patient's spontaneous activity. A systematic method (the waveform method) based on explicit rules was adopted. Esophageal pressure tracings were analyzed independently and used as reference. Breaths were classified as assisted or auto-triggered, double-triggered or ineffective. For assisted breaths, trigger delay, early and late cycling (minor asynchronies) were diagnosed. The percentage of breaths with major asynchronies (asynchrony index) and total asynchrony time were computed.
resultsOut of 4426 analyzed breaths, 94.1% (70.4-99.4) were assisted, 0.0% (0.0-0.2) auto-triggered and 5.8% (0.4-29.6) ineffective. Asynchrony index was 5.9% (0.6-29.6). Total asynchrony time represented 22.4% (16.3-30.1) of recording time and was mainly due to minor asynchronies. Applying the waveform method resulted in an inter-operator agreement of 0.99 (0.98-0.99); 99.5% of efforts were detected on waveforms and agreement with the reference in detecting major asynchronies was 0.99 (0.98-0.99). Timing of respiratory efforts was accurately detected on waveforms: AUC for trigger delay, cycling delay and early cycling was 0.865 (0.853-0.876), 0.903 (0.892-0.914) and 0.983 (0.970-0.991), respectively.
conclusionsVentilator waveforms can be used alone to reliably assess patient's spontaneous activity and patient-ventilator interaction provided that a systematic method is adopted.
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