Evidence map›Paper›PMID 40611271›Full record

Observational studyCritical care (London, England)2025

Respiratory effort monitoring: a novel, bedside, non-invasive, real-time method.

Yinxia Lv, Meiling Dong, Haisong Song, Jinglei Liu, Zhiwen Huang, Zhong Ni, Zhen Wang, Xiaorong Jing, Xiaoyong Zhou, Yongfang Zhou and 2 more

Abstract readObservational Study
In one paragraph

Observational study in Critical care (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Yinxia Lv *Department of Respiratory Care, West China Hospital of Sichuan University, Chengdu, 610041, China.
Meiling Dong *Department of Respiratory Care, West China Hospital of Sichuan University, Chengdu, 610041, China.
Haisong Song *Shenzhen Mindray Bio-Medical Electronics Co.,Ltd., Shenzhen, 518057, China.
Jinglei Liu *Shenzhen Mindray Bio-Medical Electronics Co.,Ltd., Shenzhen, 518057, China.
Zhiwen HuangShenzhen Mindray Bio-Medical Electronics Co.,Ltd., Shenzhen, 518057, China.
Zhong NiDepartment of Respiratory Care, West China Hospital of Sichuan University, Chengdu, 610041, China.
Zhen WangDepartment of Respiratory Care, West China Hospital of Sichuan University, Chengdu, 610041, China.
Xiaorong JingDepartment of Respiratory Care, West China Hospital of Sichuan University, Chengdu, 610041, China.
Xiaoyong ZhouShenzhen Mindray Bio-Medical Electronics Co.,Ltd., Shenzhen, 518057, China.
Yongfang ZhouDepartment of Respiratory Care, West China Hospital of Sichuan University, Chengdu, 610041, China. zyfmg@163.com.
Yan KangDepartment of Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, 610041, China. kangyan@scu.edu.cn.
Bo WangDepartment of Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, 610041, China. drwangbowch@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMechanical ventilation is essential for treating respiratory failure. However, ventilator over-assistance can lead to ventilator-induced diaphragm dysfunction (VIDD), and insufficient assistance can necessitate excessive effort, which leads to high stress and damage diaphragm function. Current methods monitoring respiratory effort face clinical implementation challenges due to invasiveness and complexity. This study introduces and validates a novel non-invasive real-time respiratory muscle pressure (N-Pmus) monitoring method.

methods(1) The bench study involved developing a non-invasive, real-time respiratory muscle pressure monitoring algorithm (N-Pmus) based on the equation of motion of the respiratory system and validated with efforts generated by the ASL simulator (ASL5000-Pmus) across 270 clinical scenarios. (2) A clinical validation was performed through a prospective observational study (n = 23), comparing N-Pmus with the Pmus derived from simultaneously monitored esophageal pressure (Pmus

results(1) The bench study demonstrated that N-Pmus correlated well with ASL5000-Pmus, with marginal R²=0.993 and conditional R²=0.997. The bias was - 0.23 cmH₂O, with limits of agreement ranging from - 1.51 to 1.04 cmH₂O. (2) The clinical validation revealed strong N-Pmus/Pmus CLINICAL TRIAL NUMBER: Retrospectively registered with https://www.chictr.org.cn/ . REGISTRATION NUMBER: ChiCTR2300076940, registered 24 October 2023.

Indexed as

Work of BreathingAdultAlgorithmsFemaleHumansMaleMiddle AgedMonitoring, PhysiologicPoint-of-Care SystemsProspective StudiesRespiration, ArtificialRespiratory InsufficiencyRespiratory MusclesMechanical ventilationNon-invasive monitoringRespiratory effortRespiratory muscle pressure (Pmus)

Identifiers

PMID40611271
PMCPMC12231727

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.