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ICU Nurses' Proficiency in Recognising Patient-Ventilator Asynchrony: A Cross-Sectional Study
Yinfeng Xu1, Huadong Wang1, Yong Zhang1
1The First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China.
Nursing in Critical Care
|September 29, 2025
Summary
Mechanical ventilation training significantly improved ICU nurses' ability to recognize patient-ventilator asynchrony (PVA) using waveform analysis. This specialized training enhanced recognition skills, bridging gaps related to gender and experience.
Area of Science:
- Critical Care Medicine
- Respiratory Therapy
- Nursing Education
Background:
- Patient-ventilator asynchrony (PVA) is common in mechanically ventilated patients, potentially increasing ICU stays and mortality.
- Ventilator waveform analysis is key for PVA detection but requires skilled interpretation.
- Accurate PVA recognition is vital for timely intervention and improved patient outcomes.
Purpose of the Study:
- To evaluate ICU nurses' ability to recognize PVA from ventilator waveforms.
- To assess the impact of gender, clinical experience, and training on PVA recognition.
- To identify factors influencing nurses' proficiency in interpreting ventilator waveforms for PVA.
Main Methods:
- A cross-sectional survey was conducted across seven tertiary hospital ICUs in China.
- 168 ICU nurses completed a questionnaire on demographics, experience, and training.
- Nurses' PVA recognition was assessed using nine ventilator waveform images representing six common PVA types.
Main Results:
- Overall PVA recognition ability was low (mean score 4.6/9).
- Nurses with mechanical ventilation training scored significantly higher than untrained nurses.
- Training eliminated gender-based score differences and improved recognition across experience levels.
Conclusions:
- Specialized training in mechanical ventilation significantly enhances ICU nurses' PVA recognition.
- Training programs are essential to improve ventilator waveform interpretation skills.
- Improved PVA recognition through training can lead to better patient management and outcomes.
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