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Thought Leader Session

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Aging Adult Track

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Research Snapshot Theater: Professional Development and Education, Adult and Pediatric

Confidence and Knowledge Gaps in Ventilator Waveform Interpretation: A Nationwide Survey in China

Sunday, March 22, 2026

11:00 AM - 12:00 PM Central Time

Location: Connections Central - RST 15

PP

Pan Pan, NA

MD
Chinese PLA General Hospital

Disclosure information not submitted.
LS

Longxiang Su, n/a (he/him/his)

Peking Union Medical College Hospital, Beijing, CHN

Disclosure information not submitted.
HH

Hao Hu, NA

MM
Anqing 116 Hospital

Disclosure information not submitted.
LS

Ling Sun, NA

MM
Beijing 6th Hospital

Disclosure information not submitted.
XS

Xiaojun Song, NA

MM
Beijing 6th Hospital

Disclosure information not submitted.
XR

Xi Rui, NA

MM
Peking Union Medical College Hospital

Disclosure information not submitted.
MZ

MIn Zheng, NA

MM
Peking Union Medical College Hospital

Disclosure information not submitted.
HM

Hongbo Ma, NA

MM
The First Affiliated Hospital of JinZhou Medical University

Disclosure information not submitted.
XH

Xingshuo Hu, NA

MM
Chinese PLA General Hospital

Disclosure information not submitted.
HW

Huiping Wu, NA

MD
The First Affiliated Hospital of JinZhou Medical University

Disclosure information not submitted.
RS

Ruochun Shi, NA

MM
Beijing 6th Hospital, Beijing

Disclosure information not submitted.

Introduction: Accurate interpretation of ventilator waveforms is critical in mechanical ventilation management. However, confidence and knowledge levels among frontline clinicians remain unclear, particularly regarding advanced respiratory mechanics and patient-ventilator asynchrony (PVA).

Methods: We conducted a nationwide cross-sectional study using an online platform to assess critical care professionals’ self-reported confidence in ventilator waveform interpretation and respiratory mechanics. Based on identified gaps, a structured video-based training program was delivered. A follow-up assessment with objective waveform recognition questions evaluated changes in recognition accuracy.

Results: Among 971 respondents across 31 provinces, only 14.8% and 15.3% reported expert-level confidence in interpreting peak and plateau airway pressures. Confidence in driving pressure (8.7%), transpulmonary pressure (6.4%), and mechanical power (4.6%) was notably low. Recognition confidence for common PVA types like ineffective triggering was moderate (74.5%), but low for complex patterns such as reverse triggering (41.2%). Post-training assessments completed by 326 participants showed improved recognition of ineffective triggering (from 40.5% to 61.7%, P < 0.05) and double triggering (from 53.1% to 73.0%, P < 0.05), but no significant improvement for reverse triggering or delayed cycling.

Conclusions: Chinese critical care professionals demonstrated wide variation in self-reported confidence and performance in ventilator waveform interpretation, especially for advanced parameters and complex PVA patterns. While focused online training can improve recognition of common asynchronies, further integration with clinical context is essential to bridge persistent knowledge gaps.