RT Journal Article
SR Electronic
T1 Clinical application of oscillometry in respiratory diseases: an impulse oscillometry registry
JF ERJ Open Research
JO erjor
FD European Respiratory Society
SP 00080-2022
DO 10.1183/23120541.00080-2022
VO 8
IS 4
A1 Liang, Xiaolin
A1 Zheng, Jinping
A1 Gao, Yi
A1 Zhang, Zhe
A1 Han, Wen
A1 Du, Jing
A1 Lu, Yong
A1 Chen, Li
A1 Wang, Tao
A1 Liu, Jinming
A1 Huang, Gang
A1 Zhao, Bingrong
A1 Zhao, Guihua
A1 Zhang, Xuhua
A1 Peng, Yi
A1 Chen, Xin
A1 Zhou, Ning
YR 2022
UL http://openres.ersjournals.com/content/8/4/00080-2022.abstract
AB 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 forced expiratory volume in 1 s (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, R5 z-scores of 2.5 and 4 were defined as the cut-off values of moderately and severely increased R5.Conclusion Respiratory oscillometry is more appropriate to be a tool of evaluating, rather than of diagnosing, respiratory diseases. A severity grading system of oscillometric parameters was developed to help the interpretation of oscillometry in clinical practice.This multicentre registry of impulse oscillometry revealed that respiratory oscillometry is more suitable to evaluate than to diagnose respiratory diseases. A severity grading system of oscillometry was developed. https://bit.ly/3KZdEi3