ArticleInternational journal of chronic obstructive pulmonary disease2024
Respiratory Oscillometry and Functional Performance in Different COPD Phenotypes.
Article in International journal of chronic obstructive pulmonary disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Current use and future potential of oscillometry in UK lung function testing: a national survey.BMJ open respiratory research · 2026Article
- Interpretable machine learning methods based on oscillometry and electric modeling for the diagnostic of respiratory dysfunction in silicosis.BMC medical informatics and decision making · 2026Article
- Difference in Respiratory Function Between GOLD Stage 1 and Preserved Ratio Impaired Spirometry as Assessed by Impulse Oscillometry and Spirometry.International journal of chronic obstructive pulmonary disease · 2026Article
- It's not all about small airways disease: key limitations of oscillometry interpretation.Frontiers in allergy · 2026Review
- The diagnostic value of bronchodilator response in differentiating asthma, COPD, and ACO in fixed airflow obstruction: a retrospective study.BMC pulmonary medicine · 2025Article
- Small airway disease as a key factor in COPD: new perspectives and insights.Frontiers in medicine · 2025Review
- Imaging Phenotypes Assessment by Using Quantitative Parameters for CT-Defined Subtypes of Chronic Obstructive Pulmonary Disease.International journal of chronic obstructive pulmonary disease · 2025Article
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4 authors.
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Abstract
Purpose: Chronic obstructive pulmonary disease (COPD) phenotypes may introduce different characteristics that need to be known to improve treatment. Respiratory oscillometry provides a detailed analysis and may offer insight into the pathophysiology of COPD. In this paper, we used this method to evaluate the differences in respiratory mechanics of COPD phenotypes. Patients and Methods: This study investigated a sample of 83 volunteers, being divided into control group (CG = 20), emphysema (n = 23), CB (n = 20) and asthma-COPD overlap syndrome (ACOS, n = 20). These analyses were performed before and after bronchodilator (BD) use. Functional capacity was evaluated using the Glittre‑ADL test, handgrip strength and respiratory pressures. Results: Initially it was observed that oscillometry provided a detailed description of the COPD phenotypes, which was consistent with the involved pathophysiology. A correlation between oscillometry and functional capacity was observed (r=-0.541; p = 0.0001), particularly in the emphysema phenotype (r = -0.496, p = 0.031). BD response was different among the studied phenotypes. This resulted in an accurate discrimination of ACOS from CB [area under the receiver operating curve (AUC) = 0.84] and emphysema (AUC = 0.82). Conclusion: These results offer evidence that oscillatory indices may enhance the comprehension and identification of COPD phenotypes, thereby potentially improving the support provided to these patients.
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