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Updated: Oct 15, 2025
Conducting Respiratory Oscillometry in an Outpatient Setting
Published on: April 8, 2022
Forced oscillatory parameters as predictors of COPD assessment test improvement in untreated COPD patients
Shingo Takahashi1, Toshihiro Shirai1, Keita Hirai2
1Department of Respiratory Medicine, Shizuoka General Hospital, Shizuoka, Japan.
Background:
Few studies have examined whether baseline spirometry and the forced oscillation technique (FOT) would predict The COPD Assessment Test (CAT) score improvement after treatment of untreated COPD patients.
Methods:
The study subjects included 65 untreated COPD patients. They underwent the CAT, spirometry, and FOT (MostGraph) before and after treatment for more than 2 months. In addition, recursive partitioning analysis was performed using spirometry and the FOT parameters to identify the predictors of CAT improvement (CAT score ≥2).
Results:
CAT scores and lung function significantly improved after treatment. Recursive partitioning analysis identified 3 improved classes, defined by Rrs at 20 Hz (R20), Xrs at 5 Hz (X5), and ΔX5, but not by spirometry. The accuracy of predicting CAT improvement was as follows: odds ratio, 25.3; 95 % confidence interval, 6.1 to 104.1; sensitivity, 91.2 %; specificity, 71.0 %; positive likelihood ratio, 3.14; and negative likelihood ratio, 0.12.
Conclusions:
FOT helps predict improved health status in untreated COPD patients.
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