Clinical application of oscillometry in respiratory diseases: an impulse oscillometry registry
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 i...
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
European Respiratory Society
2022-10-01
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| Series: | ERJ Open Research |
| Online Access: | http://openres.ersjournals.com/content/8/4/00080-2022.full |
| _version_ | 1797809461154283520 |
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| author | Xiaolin Liang Jinping Zheng Yi Gao Zhe Zhang Wen Han Jing Du Yong Lu Li Chen Tao Wang Jinming Liu Gang Huang Bingrong Zhao Guihua Zhao Xuhua Zhang Yi Peng Xin Chen Ning Zhou |
| author_facet | Xiaolin Liang Jinping Zheng Yi Gao Zhe Zhang Wen Han Jing Du Yong Lu Li Chen Tao Wang Jinming Liu Gang Huang Bingrong Zhao Guihua Zhao Xuhua Zhang Yi Peng Xin Chen Ning Zhou |
| author_sort | Xiaolin Liang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-13T06:53:09Z |
| format | Article |
| id | doaj.art-cdf31ed93fde4fdd88ed16d67c4e225e |
| institution | Directory Open Access Journal |
| issn | 2312-0541 |
| language | English |
| last_indexed | 2024-03-13T06:53:09Z |
| publishDate | 2022-10-01 |
| publisher | European Respiratory Society |
| record_format | Article |
| series | ERJ Open Research |
| spelling | doaj.art-cdf31ed93fde4fdd88ed16d67c4e225e2023-06-07T13:30:36ZengEuropean Respiratory SocietyERJ Open Research2312-05412022-10-018410.1183/23120541.00080-202200080-2022Clinical application of oscillometry in respiratory diseases: an impulse oscillometry registryXiaolin Liang0Jinping Zheng1Yi Gao2Zhe Zhang3Wen Han4Jing Du5Yong Lu6Li Chen7Tao Wang8Jinming Liu9Gang Huang10Bingrong Zhao11Guihua Zhao12Xuhua Zhang13Yi Peng14Xin Chen15Ning Zhou16 National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China Dept of Respiratory and Critical Care Medicine, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China Dept of Respiratory and Critical Care, West China Hospital, Sichuan University, Chengdu, China Dept of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China Dept of Respiratory Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China Dept of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China Dept of Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China Key Laboratory of Respiratory Disease of Zhejiang Province, Dept of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China Dept of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China Dept of Cardiopulmonary function, Henan Provincial People's Hospital, Zhengzhou, China Dept of Pulmonary Function Test, Ningxia Medical University General Hospital, Yinchuan, China Dept of Respiratory Medicine, Union Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China Dept of Respiratory and Critical Care Medicine, Zhujiang Hospital of Southern Medical University, Guangzhou, China Dept of Respiratory and Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China 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.http://openres.ersjournals.com/content/8/4/00080-2022.full |
| spellingShingle | Xiaolin Liang Jinping Zheng Yi Gao Zhe Zhang Wen Han Jing Du Yong Lu Li Chen Tao Wang Jinming Liu Gang Huang Bingrong Zhao Guihua Zhao Xuhua Zhang Yi Peng Xin Chen Ning Zhou Clinical application of oscillometry in respiratory diseases: an impulse oscillometry registry ERJ Open Research |
| title | Clinical application of oscillometry in respiratory diseases: an impulse oscillometry registry |
| title_full | Clinical application of oscillometry in respiratory diseases: an impulse oscillometry registry |
| title_fullStr | Clinical application of oscillometry in respiratory diseases: an impulse oscillometry registry |
| title_full_unstemmed | Clinical application of oscillometry in respiratory diseases: an impulse oscillometry registry |
| title_short | Clinical application of oscillometry in respiratory diseases: an impulse oscillometry registry |
| title_sort | clinical application of oscillometry in respiratory diseases an impulse oscillometry registry |
| url | http://openres.ersjournals.com/content/8/4/00080-2022.full |
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