Abstract
Background
Spirometry remains central to the assessment of asthma but may fail to detect small airways dysfunction (SAD), which contributes to considerable symptoms and exacerbation risk.
Objective
We investigated whether integrating oscillometry with spirometry improves physiological phenotyping and risk stratification in asthma.
Methods
In this retrospective multicentre study, data from 1,497 adults with asthma were analysed from the Oscillometry Asthma Registry (OAR). SAD was defined using the (Rrs5-20)/Rrs5 ratio ≥19%, and airflow obstruction as FEV1/FVC <70%. Participants were categorised into four mutually exclusive groups: (a) Group 1 - normal oscillometry and normal spirometry; (b) Group 2 - abnormal oscillometry with normal spirometry; (c) Group 3 - normal oscillometry with abnormal spirometry; and (d) Group 4 - abnormal oscillometry and abnormal spirometry. Associations with symptom control, exacerbations, and type 2 inflammatory biomarkers were assessed using multivariable logistic regression.
Results
For ≥1 exacerbation, the adjusted odds ratio (aORs) (95%CI) for Group 4 were: versus Group 1 3.19 (2.31,4.42); versus Group 2 1.99 (1.46,2.74); and versus Group 3 1.59 (1.07;2.37). Corresponding aOR values for Group 3 were: versus Group 2 1.26 (0.85,1.86); and versus Group 1 2.01 (1.37;2.94). The aOR for ≥1 exacerbation for Group 2 versus Group 1 was 1.60 (1.18,2.16). Results were similar when using FEV1/FVC <LLN instead of traditional predicted values.
Conclusion
The combined use of oscillometry and spirometry identifies distinct physiological phenotypes of asthma with clinically meaningful differences in symptom burden and exacerbation risk.
Spirometry remains central to the assessment of asthma but may fail to detect small airways dysfunction (SAD), which contributes to considerable symptoms and exacerbation risk.
Objective
We investigated whether integrating oscillometry with spirometry improves physiological phenotyping and risk stratification in asthma.
Methods
In this retrospective multicentre study, data from 1,497 adults with asthma were analysed from the Oscillometry Asthma Registry (OAR). SAD was defined using the (Rrs5-20)/Rrs5 ratio ≥19%, and airflow obstruction as FEV1/FVC <70%. Participants were categorised into four mutually exclusive groups: (a) Group 1 - normal oscillometry and normal spirometry; (b) Group 2 - abnormal oscillometry with normal spirometry; (c) Group 3 - normal oscillometry with abnormal spirometry; and (d) Group 4 - abnormal oscillometry and abnormal spirometry. Associations with symptom control, exacerbations, and type 2 inflammatory biomarkers were assessed using multivariable logistic regression.
Results
For ≥1 exacerbation, the adjusted odds ratio (aORs) (95%CI) for Group 4 were: versus Group 1 3.19 (2.31,4.42); versus Group 2 1.99 (1.46,2.74); and versus Group 3 1.59 (1.07;2.37). Corresponding aOR values for Group 3 were: versus Group 2 1.26 (0.85,1.86); and versus Group 1 2.01 (1.37;2.94). The aOR for ≥1 exacerbation for Group 2 versus Group 1 was 1.60 (1.18,2.16). Results were similar when using FEV1/FVC <LLN instead of traditional predicted values.
Conclusion
The combined use of oscillometry and spirometry identifies distinct physiological phenotypes of asthma with clinically meaningful differences in symptom burden and exacerbation risk.
| Original language | English |
|---|---|
| Journal | The Journal of Allergy and Clinical Immunology: In Practice |
| Early online date | 7 Jul 2026 |
| DOIs | |
| Publication status | E-pub ahead of print - 7 Jul 2026 |
Keywords
- asthma
- exacerbations
- oscillometry
- spirometry
- symptoms
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