Trial reportBMJ open respiratory research2026
Impact of breathing frequency on respiratory oscillometry measurements: a randomised cross-over and observational study of asthma patients.
Trial report in BMJ open respiratory research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
3 authors.
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Abstract
introductionThe impact of breathing frequency on respiratory oscillometry measurements is unknown. We aimed to investigate the impact of different breathing frequencies in patients with asthma.
methodWe recruited patients from the severe asthma clinic at Cambridge University Hospitals. Using a randomised-crossover design, participants performed the forced oscillation technique at three different breathing frequencies (15, 30, 40 bpm) in a randomised order for each participant. A metronome was used to ensure the correct breathing frequency. Analysis of variance (ANOVA) and Friedman tests were utilised to assess the significance of any differences across the breathing frequencies. We then leveraged cross-sectional data from asthma patients who performed respiratory oscillometry and investigated the determinants of self-selected breathing frequency using multivariable linear regression.
resultsWe recruited 59 patients. Mean age 54.1 years, 58% female, median forced expiratory volume in 1 s (FEV
conclusionHigher breathing frequencies significantly reduce total Rrs . When performing respiratory oscillometry, breathing frequency should be controlled at approximately 15 bpm to reduce risk of misclassification.
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