TY - JOUR T1 - Clinical application of respiratory oscillometry in respiratory diseases: an impulse oscillometry registry JF - ERJ Open Research JO - erjor DO - 10.1183/23120541.00080-2022 SP - 00080-2022 AU - Xiaolin Liang AU - Jinping Zheng AU - Yi Gao AU - Zhe Zhang AU - Wen Han AU - Jing Du AU - Yong Lu AU - Li Chen AU - Tao Wang AU - Jinming Liu AU - Gang Huang AU - Bingrong Zhao AU - Guihua Zhao AU - Xuhua Zhang AU - Yi Peng AU - Xin Chen AU - Ning Zhou Y1 - 2022/01/01 UR - http://openres.ersjournals.com/content/early/2022/04/07/23120541.00080-2022.abstract N2 - Background Respiratory oscillometry is a promising complement to the traditional pulmonary function tests for its simplicity. The usefulness of oscillometry in adult clinical practice has not been clarified. This study aimed to analyse the characteristics and diagnostic performance of oscillometry in respiratory diseases, and explore the cut-offs of oscillometric parameters for severity grading.Methods In this multicentre registry of impulse oscillometry (IOS), IOS and spirometric data of healthy individuals and patients with respiratory diseases were collected and analysed. Linear mixed model analysis was performed to explore the effects of disease and FEV1 on oscillometric parameters.Results The study included 567 healthy subjects, 781 asthmatic patients, 688 patients with chronic obstructive pulmonary disease (COPD), 109 patients with bronchiectasis, 40 patients with upper airway obstruction (UAO), and 274 patients with interstitial lung disease (ILD) in the analysis. Compared at the same FEV1 level, asthma, COPD, bronchiectasis, UAO, and ILD displayed different oscillometric characteristics. The z-score of resistance at 5 Hz (R5) was the best variable to identify respiratory diseases with a sensitivity of 62.4%–66.7% and a specificity of 81.5%–90.3%. With reference to the severity grading cut-offs of FEV1, the R5 z-score of 2.5 and 4 were defined as the cut-off values of moderate and severe increased R5.Conclusion Respiratory oscillometry is more appropriate to be a tool of evaluation instead of diagnosing for respiratory diseases. A Severity grading system of oscillometric parameters was developed to help the interpretation of oscillometry in clinical practice.FootnotesThis manuscript has recently been accepted for publication in the ERJ Open Research. It is published here in its accepted form prior to copyediting and typesetting by our production team. After these production processes are complete and the authors have approved the resulting proofs, the article will move to the latest issue of the ERJOR online. Please open or download the PDF to view this article.Conflicts of Interest: The authors declare that they have no conflicts of interest. ER -