Precise identification of respiratory system air leakage via dynamic ventilator waveform monitoring: a controlled trial to improve mechanical ventilation care efficiency
Hong-lei Wu, Mei-juan Lan, Wang-Qin Shen, Li Chen, Jia-Ying Qian, Yan-hong Bian, Jia-hai Shi · 2025
Read Precise identification of respiratory system air leakage via dynamic ventilator waveform monitoring: a controlled trial to improve mechanical ventilation care efficiency by Hong-lei Wu, Mei-juan Lan, Wang-Qin Shen, Li Chen, Jia-Ying Qian, Yan-hong Bian, Jia-hai Shi (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12849729.txt.
Description
Wu and co-authors test in 2025 a nurse led waveform method for spotting air leaks in ventilator systems faster. Standard checks are slow and insensitive, which harms intensive care patients on breathing machines. Their trial ran in a cardiothoracic unit in Nantong, China, from 2019 to 2020, with 302 patients split by admission time.
One group got usual empirical checks, the other got dynamic waveform monitoring of the breathing circuit. Time to find pipeline leaks was far shorter in the waveform group, reported as 27.25 plus or minus 18.42 against the control value. Airway leak detection time and nurse satisfaction were also compared. The protocol is offered as a care efficiency gain.
Catalog record
| CREATOR | Hong-lei Wu, Mei-juan Lan, Wang-Qin Shen, Li Chen, Jia-Ying Qian, Yan-hong Bian, Jia-hai Shi |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 29 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |