ArticleRespiratory care2024
Survey of Ventilator Waveform Interpretation Among ICU Professionals.
Article in Respiratory care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The trial behind it
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Who cites it
8 citing papers in PubMed.
- Challenges and strategies for the identification and correction of patient-ventilator asynchronies in daily practice: a scoping review.Acute and critical care · 2026Article
- Ventilator waveform interpretation skills of attending intensivists relative to critical care fellows (VISA) study.ATS scholar · 2026Article
- Waveform data capture substantial variation in tidal volume and other respiratory parameters.Annals of the American Thoracic Society · 2026Article
- Consensus on identifying and ranking ventilator asynchronies in invasively ventilated ICU patients: a modified Delphi study (SYNAPsE).Intensive care medicine · 2026Article
- Real-time detection of respiratory circuit events in mechanical ventilation using deep learning.NPJ digital medicine · 2025Article
- Optimizing Mechanical Ventilation: A Clinical and Practical Bedside Method for the Identification and Management of Patient-Ventilator Asynchronies in Critical Care.Journal of clinical medicine · 2025Review
- Simulation in Mechanical Ventilation Training: Integrating Best Practices for Effective Education.Respiratory care · 2024Article
- Bridging the Gap Between Detection, Understanding, and Future Innovation in Patient-Ventilator Asynchronies.Respiratory care · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe interpretation of ventilator waveforms is essential for effective and safe mechanical ventilation but requires specialized training and expertise. This study aimed to investigate the ability of ICU professionals to interpret ventilator waveforms, identify areas requiring further education and training, and explore the factors influencing their interpretation skills.
methodsWe conducted an international online anonymous survey of ICU professionals (physicians, nurses, and respiratory therapists [RTs]), with ≥ 1 y of experience working in the ICU. The survey consisted of demographic information and 15 multiple-choice questions related to ventilator waveforms. Results were compared between professions using descriptive statistics, and logistic regression (expressed as odds ratios [ORs; 95% CI]) was performed to identify factors associated with high performance, which was defined by a threshold of 60% correct answers.
resultsA total of 1,832 professionals from 31 countries or regions completed the survey; 53% of respondents answered ≥ 60% of the questions correctly. The 3 questions with the most correct responses were related to waveforms that demonstrated condensation (90%), pressure overshoot (79%), and bronchospasm (75%). Conversely, the 3 questions with the fewest correct responses were waveforms that demonstrated early cycle leading to double trigger (43%), severe under assistance (flow starvation) (37%), and early/reverse trigger (31%). Factors significantly associated with ≥ 60% correct answers included years of ICU working experience (≥ 10 y, OR 1.6 [1.2-2.0],
conclusionsSlightly over half respondents correctly identified ≥ 60% of waveforms demonstrating patient-ventilator discordance. High performance was associated with ≥ 10 years of ICU working experience, RT profession, graduate degree, working in a teaching hospital, and prior ventilator waveforms training. Some discordances were poorly recognized across all groups of surveyed professionals.
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