Evidence map›Paper›PMID 40551786›Full record

ArticleERJ open research2025

Oscillometry to assess ventilation heterogeneity during hospital admission for acute cardiorespiratory illness.

Masarrah Aliaroof, Wadah Ibrahim, Hnin Aung, Rebecca L Cordell, Michael J Wilde, Matthew Richardson, Dahlia Salman, Amisha Singapuri, Robert C Free, Erol Gaillard and 5 more

Abstract read
In one paragraph

Article in ERJ open research, 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. Article
  2. Article
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

15 authors.

Masarrah AliaroofDepartment of Respiratory Sciences, University of Leicester, Leicester, UK.
Wadah IbrahimDepartment of Respiratory Sciences, University of Leicester, Leicester, UK.
Hnin AungDepartment of Respiratory Sciences, University of Leicester, Leicester, UK.
Rebecca L CordellCentre for Environmental Health and Sustainability, University of Leicester, Leicester, UK.
Michael J WildeSchool of Geography, Earth and Environmental Sciences, University of Plymouth, Plymouth, UK.
Matthew RichardsonDepartment of Respiratory Sciences, University of Leicester, Leicester, UK.
Dahlia SalmanBioxhale, Leicester, UK.
Amisha SingapuriDepartment of Respiratory Sciences, University of Leicester, Leicester, UK.
Robert C FreeInstitute for Lung Health, NIHR Leicester Biomedical Research Centre (Respiratory theme), Glenfield Hospital, Leicester, UK.
Erol GaillardDepartment of Respiratory Sciences, University of Leicester, Leicester, UK.
Paul ThomasBioxhale, Leicester, UK.ORCID https://orcid.org/0000-0003-4631-6417
Paul S MonksSchool of Chemistry, University of Leicester, Leicester, UK.ORCID https://orcid.org/0000-0001-9984-4390
Christopher E BrightlingDepartment of Respiratory Sciences, University of Leicester, Leicester, UK.
Salman SiddiquiNational Heart and Lung Institute, Imperial College, London, UK.
Neil J GreeningDepartment of Respiratory Sciences, University of Leicester, Leicester, UK.ORCID https://orcid.org/0000-0003-0453-7529

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rationale: Hospitalisation due to exacerbations of cardiorespiratory disease results in reduced lung function and increased airways obstruction. However, traditional measures of lung function require maximal effort which is difficult when patients are unwell ( Method: Participants (n=310) underwent assessment; 263 were admitted to hospital with acute cardiorespiratory illness (asthma (n=80), COPD (n=75), heart failure (n=46) and pneumonia (n=62)) and 47 healthy controls were included. Participants underwent handheld oscillometry measurements within the first 24 h of admission. Results: Oscillometry measurement was feasible in all patients (n=310). There was a significant difference in both absolute and percentage predicted measures of lung mechanics (p<0.05 for all measures), with significantly worse lung mechanics in patients with COPD. Measures of resistance and reactance were worse in those that were more breathless (p<0.0001), had more wheeze (p<0.001) and had low oxygen saturation (p<0.001). No difference was seen based on modified early warning system score or blood biomarkers (eosinophil count, C-reactive protein and brain natriuretic peptide). There were significant improvements in oscillometry measures in those that attended following recovery from acute illness. Conclusion: Handheld oscillometry can be feasibly deployed in the acute care setting to obtain information on respiratory mechanics. It demonstrates significant differences in ventilation heterogeneity between patients in the acute care setting and healthy volunteers.

Identifiers

PMID40551786
PMCPMC12183746

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