ArticleERJ open research2025
Oscillometry to assess ventilation heterogeneity during hospital admission for acute cardiorespiratory illness.
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.
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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.
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Who cites it
2 citing papers in PubMed.
- Diagnostic value of ocular imaging biomarkers in chronic obstructive pulmonary disease: a multicenter prospective cross-sectional study.Journal of thoracic disease · 2026Article
- Innovation in technologies for monitoring lung function in patients with respiratory disease.Breathe (Sheffield, England) · 2025Article
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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