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Park H, Lee HJ, Lee HW, Park TY, Heo EY, Kim DK, Lee JK. Diagnosis and evaluation of small airway disease and COPD using impulse oscillometry. Sci Rep 2024; 14:28030. [PMID: 39543228 PMCID: PMC11564534 DOI: 10.1038/s41598-024-79818-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 11/12/2024] [Indexed: 11/17/2024] Open
Abstract
Impulse oscillometry (IOS) is a sensitive tool for assessing small airway function in patients with chronic obstructive pulmonary disease (COPD). This study aimed to differentiate between COPD, small airway disease (SAD), and normal groups using IOS, and to evaluate the clinical applicability of IOS. This retrospective cohort study was conducted from January 2020 to February 2022. The eligible population comprised adult patients who simultaneously underwent IOS and pulmonary function tests. The diagnostic value of IOS in differentiating SAD and/or COPD from control was analyzed, and the correlations among IOS parameters, lung function, and radiological assessment results were determined. Among the enrolled 306 patients, 38 (12.4%) had SAD and 134 (43.8%) had COPD. The remainder comprised the control group without COPD and/or SAD. Abnormal airway resistance according to IOS parameters was detected in 17.2% of the patients in the control group, 47.2% of those in the SAD group, and 55.2% of those in the COPD group. Airway resistance estimated by IOS were significantly higher in the SAD and COPD groups than in the control group and correlated with lung function and radiological airway wall thickness. We developed a composite index called the IOS severity index (IOSsi) using IOS parameters that can predict SAD and COPD, and IOSsi showed significantly differentiation of SAD and/or COPD from control. Especially, IOSsi value ≥ 4 was associated with an increased risk of SAD and/or COPD and also with risk for moderate-to-severe exacerbation in patients with COPD. IOS may be a useful tool to differentiate disease status and evaluate disease severity and prognosis in patients with SAD and/or COPD, and a prognostic factor of COPD.
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Affiliation(s)
- Heemoon Park
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, 20 Boramaero-5- Gil, Dongjak-Gu, Seoul, 07061, Republic of Korea
| | - Hyo Jin Lee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, 20 Boramaero-5- Gil, Dongjak-Gu, Seoul, 07061, Republic of Korea
| | - Hyun Woo Lee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, 20 Boramaero-5- Gil, Dongjak-Gu, Seoul, 07061, Republic of Korea
| | - Tae Yun Park
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, 20 Boramaero-5- Gil, Dongjak-Gu, Seoul, 07061, Republic of Korea
| | - Eun Young Heo
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, 20 Boramaero-5- Gil, Dongjak-Gu, Seoul, 07061, Republic of Korea
| | - Deog Kyeom Kim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, 20 Boramaero-5- Gil, Dongjak-Gu, Seoul, 07061, Republic of Korea
| | - Jung-Kyu Lee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, 20 Boramaero-5- Gil, Dongjak-Gu, Seoul, 07061, Republic of Korea.
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Li J, Wan X. Impulse oscillometry system and pulmonary function test assessment of the impact of tumor location, staging, and pathological type on lung function in primary lung cancer. BMC Pulm Med 2024; 24:563. [PMID: 39529001 PMCID: PMC11556193 DOI: 10.1186/s12890-024-03363-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Accepted: 10/22/2024] [Indexed: 11/16/2024] Open
Abstract
PURPOSE To study the effects of tumor site, stage, pathologic type and imaging findings on lung function in primary lung cancer, as well as the correlation between impulse oscillometry system (IOS) and pulmonary function test (PFT) parameters. METHODS The impact of tumor location, staging, and pathological type on lung function were evaluated in 219 patients with primary lung cancer through IOS and PFT. Spearman correlation coefficient was used to analyze the relationship between IOS parameters and PFT parameters. RESULTS The PFT parameters in adenocarcinoma were significantly higher than those in SCLC, while the other parameters in IOS were obviously lower than those in SCLC except X5Hz (P < 0.05). The PFT parameters of FVC%, FEV1% and MVV% in SCC were evidently higher than those in SCLC, while the parameters of IOS were significantly lower than those in SCLC (P < 0.05). The PFT parameters of adenocarcinoma were higher than those of SCC (P < 0.05). In the PFT parameters of stage I patients, FEV1/FVC%, MEF50%, MMEF75/25%, and DLCO% were markedly higher than those of stage II patients, and FVC%, FEV1%, FEV1/FVC%, MEF50%, MEF25%, PEF%, MMEF75/25%, TLC%, and DLCO% were obviously higher than those of stage III and IV patients; and the MVV%, Z5Hz%, R5Hz% in IOS parameters were obviously lower than those in stage III, while Fres (1/s) and X5Hz were significantly lower than those in stage IV (P < 0.05). Compared with Phase IV, the X5Hz of stage II patients was clearly higher (P = 0.023). Besides, PFT parameters of peripheral lung cancer were obviously higher than those of central lung cancer (P < 0.05), while Z5Hz%, Fres (1/s) and R5Hz% of IOS parameters were clearly lower than those of central lung cancer (P < 0.05). Moreover, for patients without and with other pulmonary imaging manifestations, the PFT parameters of the former were significantly higher than those of the latter (P < 0.05), while only Fres (1/s) of IOS parameters was significantly lower than the latter (P < 0.05). Furthermore, there is a low to moderate correlation between IOS parameters and PFT parameters. CONCLUSION Patients with central SCLC and SCC and advanced lung cancer had the worst lung function. The IOS parameters show a good correlation with the traditional PFT parameters, and IOS can be used as an alternative measurement method for PFT when necessary.
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Affiliation(s)
- Jia Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, Shandong Province, China
| | - Xiaoxu Wan
- Department of Special Inspection Section, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, Shandong Province, China.
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Gao L, Wang H, Wu Y, Wang T, Xiong S, Qiu R, Zhou H, Liu L, Jia H, Qin J, Xu D, Shen Y, Chen L, Wen FQ. Diagnostic value of impulse oscillometry in chronic obstructive pulmonary disease: a multicentre, retrospective, observational study. BMJ Open 2024; 14:e087687. [PMID: 39384230 DOI: 10.1136/bmjopen-2024-087687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/11/2024] Open
Abstract
OBJECTIVES Diagnosis and assessment of chronic obstructive pulmonary disease (COPD) rely extensively on spirometry, which necessitates patient cooperation. The clinical value of impulse oscillometry (IOS) as a non-volitional method in patients with COPD remains uncertain. DESIGN This retrospective observational study was conducted using patient data from between January 2014 and December 2015. SETTING Five public hospitals in China: West China Hospital, Nuclear Industry 416 Hospital, Suining Central Hospital, Affiliated Hospital, Medical College of Chengdu University and 363 Hospital. PARTICIPANTS The study included 6307 participants aged>40 years, comprising 2109 COPD patients and 4198 general non-COPD individuals, according to the Global Initiative for Obstructive Lung Disease (GOLD) spirometry standard. Participants with lung cancer, pulmonary tuberculosis, pneumonia or those who underwent lung resection were excluded from the study. OUTCOME MEASURES AND ANALYSIS Demographic data, spirometry results and IOS results were collected. Spearman's correlation analysis was used to examine the correlation between the IOS and spirometry parameters. Receiver operating characteristic curve analysis was used to evaluate the IOS performance in COPD diagnosis and severity staging. RESULTS Patients with COPD exhibited significant increases in Z5, R5, R20, R5-R20, Fres and Rp, but a decrease in X5 compared with non-COPD subjects (p<0.0001). IOS parameters, including Z5, R5-R20, Fres, Rp and X5, varied with the GOLD stages, with mild-to-moderate correlations with MMEF25%-75%, forced expiratory volume in one second (FEV1)/forced vital capacity and FEV1%, respectively. However, the combination of these five IOS parameters did not exhibit ideal performance in diagnosing COPD (area under the curve (AUC) 0.78; sensitivity 63.68%; specificity 80.09%), differentiating GOLD stage 1 patients from the general non-COPD population (AUC 0.71; sensitivity 54.71%; specificity 77.49%) or identifying GOLD stages 3 and 4 patients among those with COPD (AUC 0.75; sensitivity 69.51%; specificity 70.32%). CONCLUSION IOS parameters, while showing good correlation with spirometry in patients with COPD, did not perfectly substitute for spirometry in diagnosing COPD, especially in the early and advanced stages of the disease.
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Affiliation(s)
- Lijuan Gao
- Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Hao Wang
- Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Yanqiu Wu
- Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Tao Wang
- Division of Pulmonary Diseases, State Key Laboratory of Biotherapy of China, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Shuguang Xiong
- Department of Respiratory and Critical Care Medicine, Nuclear Industry 416 Hospital, Chengdu, Sichuan, China
| | - Rong Qiu
- Department of Respiratory and Critical Care Medicine, Suining Central Hospital, Suining, Sichuan, China
| | - Hui Zhou
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital & Medical College of Chengdu University, Chengdu, Sichuan, China
| | - Lin Liu
- Department of Respiratory and Critical Care Medicine, 363 Hospital, Chengdu, Sichuan, China
| | - Huizhuo Jia
- Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Jiangyue Qin
- Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Dan Xu
- Division of Pulmonary Diseases, State Key Laboratory of Biotherapy of China, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Yongchun Shen
- Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Lei Chen
- Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Fu-Qiang Wen
- Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Peng J, Li X, Zhou H, Wang T, Li X, Chen L. Clinical Value of Impulse Oscillometry in Chronic Obstructive Pulmonary Disease: A Systematic Review and Meta-Analysis. Respiration 2024:1-10. [PMID: 39362193 DOI: 10.1159/000541633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Accepted: 09/13/2024] [Indexed: 10/05/2024] Open
Abstract
INTRODUCTION Impulse oscillometry (IOS) is an effortless test compared to spirometry. Numerous studies explored the role of IOS in spirometry-based chronic obstructive pulmonary disease (COPD), but most of them had limited sample sizes with poor statistical power. This systematic review and meta-analysis aimed to pool the individual data and quantitatively analyze the clinical value of IOS in COPD. METHODS PubMed, Web of Science, Ovid, Cochrane Library, China National Knowledge Internet, and Wanfang were searched for studies with comparisons of IOS indicators between COPD patients and healthy controls, including respiratory resistance at 5 Hz (R5) and 20 Hz (R20), difference between R5 and R20 (R5-R20), respiratory reactance at 5 Hz (X5), resonant frequency (Fres), and area of reactance (Ax). Meta-analyses were conducted to calculate the weighted mean differences (WMDs) and 95% confidence intervals (CIs). RESULTS 39 eligible studies were enrolled, involving 6,144 COPD patients and 4,611 healthy controls. Relative to healthy controls, COPD patients had significantly higher R5 (WMD: 0.17, 95% CI: 0.14, 0.20), R5-R20 (WMD: 0.13, 95% CI: 0.11, 0.15), Fres (WMD: 9.04, 95% CI: 7.66, 10.42), Ax (WMD: 1.24, 95% CI: 0.86, 1.61), and lower X5 (WMD: -0.15, 95% CI: -0.18, -0.11), and such differences became even greater as the Global Initiative for Chronic Obstructive Lung Disease (GOLD) stage escalated. Pooled correlation coefficients presented that R5, R5-R20, Fres, and X5 were significantly related to post-bronchodilator forced expiratory volume in the first second (FEV1)/forced vital capacity ratio (meta r = -0.37, -0.45, -0.53, and 0.42, respectively) and FEV1 as a percentage of predicted value (meta r = -0.43, -0.54, -0.59, and 0.56, respectively). CONCLUSION IOS may be a supplement to spirometry in diagnosing and assessing COPD, especially when spirometry is inappropriate. More well-designed, large sample-sized, prospective studies are warranted to establish an IOS-based criterion for COPD management.
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Affiliation(s)
- Junjie Peng
- Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaohua Li
- Department of Pulmonary and Critical Care Medicine, The Sixth People's Hospital of Chengdu, Chengdu, China
| | - Hong Zhou
- Department of Pulmonary and Critical Care Medicine, West China (Airport) Hospital, Sichuan University, Chengdu, China
| | - Tao Wang
- Laboratory of Pulmonary Diseases, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaoou Li
- Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Lei Chen
- Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
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Huang CH, Chou KT, Perng DW, Hsiao YH, Huang CW. Using Machine Learning with Impulse Oscillometry Data to Develop a Predictive Model for Chronic Obstructive Pulmonary Disease and Asthma. J Pers Med 2024; 14:398. [PMID: 38673025 PMCID: PMC11051459 DOI: 10.3390/jpm14040398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 04/04/2024] [Accepted: 04/05/2024] [Indexed: 04/28/2024] Open
Abstract
We aimed to develop and validate a machine learning model using impulse oscillometry system (IOS) profiles for accurately classifying patients into three assessment-based categories: no airflow obstruction, asthma, and chronic obstructive pulmonary disease (COPD). Our research questions were as follows: (1) Can machine learning methods accurately classify obstructive disease states based solely on multidimensional IOS data? (2) Which IOS parameters and modeling algorithms provide the best discrimination? We used data for 480 patients (240 with COPD and 240 with asthma) and 84 healthy individuals for training. Physiological and IOS parameters were combined into six feature combinations. The classification algorithms tested were logistic regression, random forest, neural network, k-nearest neighbor, and support vector machine. The optimal feature combination for identifying individuals without pulmonary obstruction, with asthma, or with COPD included 15 IOS and physiological features. The neural network classifier achieved the highest accuracy (0.786). For discriminating between healthy and unhealthy individuals, two combinations of twenty-three features performed best in the neural network algorithm (accuracy of 0.929). When distinguishing COPD from asthma, the best combination included 15 features and the neural network algorithm achieved an accuracy of 0.854. This study provides compelling technical evidence and clinical justifications for advancing IOS data-driven models to aid in COPD and asthma management.
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Affiliation(s)
- Chien-Hua Huang
- Department of Eldercare, College of Nursing, Central Taiwan University of Science and Technology, Taichung 406053, Taiwan;
| | - Kun-Ta Chou
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei 112201, Taiwan; (K.-T.C.); (D.-W.P.); (Y.-H.H.)
- Faculty of Medicine, School of Medicine, National Yang-Ming Chiao Tung University, Taipei 112304, Taiwan
| | - Diahn-Warng Perng
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei 112201, Taiwan; (K.-T.C.); (D.-W.P.); (Y.-H.H.)
- Faculty of Medicine, School of Medicine, National Yang-Ming Chiao Tung University, Taipei 112304, Taiwan
| | - Yi-Han Hsiao
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei 112201, Taiwan; (K.-T.C.); (D.-W.P.); (Y.-H.H.)
- Faculty of Medicine, School of Medicine, National Yang-Ming Chiao Tung University, Taipei 112304, Taiwan
| | - Chien-Wen Huang
- Division of Chest Medicine, Department of Internal Medicine, Asia University Hospital, Taichung 413505, Taiwan
- Department of Medical Laboratory Science and Biotechnology, College of Medical and Health Science, Asia University, Taichung 413305, Taiwan
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Qvarnström B, Engström G, Frantz S, Zhou X, Zaigham S, Sundström J, Janson C, Wollmer P, Malinovschi A. Impulse oscillometry indices in relation to respiratory symptoms and spirometry in the Swedish Cardiopulmonary Bioimage Study. ERJ Open Res 2023; 9:00736-2022. [PMID: 37753278 PMCID: PMC10518858 DOI: 10.1183/23120541.00736-2022] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 05/03/2023] [Indexed: 09/28/2023] Open
Abstract
Background Impulse oscillometry (IOS) is sensitive in detecting lung function impairment. In small studies, impaired IOS relates better to respiratory symptoms than spirometry. We studied how IOS related to spirometry and respiratory symptoms in a large population of individuals (n=10 360) in a cross-sectional analysis. Methods Normal values for IOS and spirometry were defined in healthy, never-smoking individuals, aged 50-64 years, from the Swedish CArdioPulmonary bioImage Study (n=3664 for IOS and 3608 for spirometry). For IOS, abnormal values for resistance at 5 Hz (R5) and at 20 Hz and area of reactance were defined using the 95th percentile. Abnormal reactance at 5 Hz for IOS and abnormal conventional spirometry indices (forced expiratory volume in 1 s (FEV1), forced and slow vital capacity and their ratios) were defined using the 5th percentile. Results Abnormal IOS parameters were found in 16% of individuals and were associated with increased odds ratios for nearly all respiratory symptoms when adjusted for age, gender and smoking. In individuals with normal spirometry, abnormal IOS resistance was related to cough and dyspnoea, while abnormal reactance was related to wheeze. In these individuals, the combination of abnormal R5 with abnormal reactance resulted in approximately two-fold higher likelihood for having cough, chronic bronchitis and dyspnoea, even when further adjusting for FEV1, expressed as % predicted. Conclusions Abnormal IOS is related to increased respiratory burden in middle-aged individuals with normal spirometry, especially when resistance and reactance parameters are combined. The different relationships between respiratory symptoms and reactance and resistance warrant further research.
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Affiliation(s)
- Björn Qvarnström
- Dept of Medical Sciences: Clinical Physiology, Uppsala University, Uppsala, Sweden
| | - Gunnar Engström
- Dept of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Sophia Frantz
- Dept of Translational Medicine, Lund University, Malmö, Sweden
| | - Xingwu Zhou
- Dept of Medical Sciences: Clinical Physiology, Uppsala University, Uppsala, Sweden
- Dept of Medical Sciences: Respiratory Medicine, Sleep and Allergy, Uppsala University, Uppsala, Sweden
| | - Suneela Zaigham
- Dept of Medical Sciences: Clinical Physiology, Uppsala University, Uppsala, Sweden
- Dept of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Johan Sundström
- Dept of Medical Sciences: Clinical Epidemiology, Uppsala University, Uppsala, Sweden
| | - Christer Janson
- Dept of Medical Sciences: Respiratory Medicine, Sleep and Allergy, Uppsala University, Uppsala, Sweden
| | - Per Wollmer
- Dept of Translational Medicine, Lund University, Malmö, Sweden
| | - Andrei Malinovschi
- Dept of Medical Sciences: Clinical Physiology, Uppsala University, Uppsala, Sweden
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Singh P, Saxena P, Ahuja NB, Chopra M, Yadav A, Tiwari S. Spirometry parameters versus forced oscillometry parameters in obstructive airway disease - Is there a correlation? Lung India 2023; 40:291-294. [PMID: 37148034 PMCID: PMC10298825 DOI: 10.4103/lungindia.lungindia_314_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 11/15/2022] [Accepted: 01/23/2023] [Indexed: 05/07/2023] Open
Affiliation(s)
- Priyanka Singh
- Pulmonary Medicine, Command Hospital, Central Command, Lucknow, Uttar Pradesh, India E-mail:
| | - Puneet Saxena
- Pulmonary Medicine, Army Hospital Research and Referral, New Delhi, India
| | - Nitin B. Ahuja
- MD Hospital Adminstartion, Officers Training College, Lucknow, Uttar Pradesh, India
| | - Manu Chopra
- Pulmonary Medicine, Command Hospital, Eastern Command, Kolkata, West Bengal, India
| | - Aseem Yadav
- Pulmonary Medicine, Command Hospital, Central Command, Lucknow, Uttar Pradesh, India E-mail:
| | - Saurabh Tiwari
- Pulmonary Medicine, Command Hospital, Central Command, Lucknow, Uttar Pradesh, India E-mail:
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Salvi S, Ghorpade D, Vanjare N, Madas S, Agrawal A. Interpreting lung oscillometry results: Z-scores or fixed cut-off values? ERJ Open Res 2023; 9:00656-2022. [PMID: 37009017 PMCID: PMC10052579 DOI: 10.1183/23120541.00656-2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 01/03/2023] [Indexed: 03/31/2023] Open
Abstract
Instead of using % predicted values or Z-scores to define and quantify respiratory abnormality in oscillometry, fixed cut-off values will likely give more accurate discriminationhttps://bit.ly/3vVmIyE We read with great interest the article by Lianget al. [1] wherein the authors analysed the characteristics and diagnostic performance of oscillometry in adult patients with asthma (n=781), COPD (n=688), interstitial lung disease (n=274), bronchiectasis (n=109) and upper airway obstruction (n=40), and compared these with spirometry using data collected from a registry from across 13 hospital clinics in China. The authors concluded that compared to spirometry, respiratory oscillometry was more appropriate for evaluating, rather than diagnosing, respiratory diseases. The conclusion was based on the comparison of Z-scores for area under the curve (AUC), sensitivity and specificity between forced expiratory volume in 1 s (FEV1) (spirometry) and resistance measured at 5 Hz (R5) (oscillometry) (AUC 0.900, sensitivity 74% and specificity 95.4% versus 0.807, 62.4% and 90.3%, respectively, for all respiratory diseases, and 0.820, 76.2% and 75.2% versus 0.788, 66.7% and 81.5%, respectively, for obstructive airways diseases). This is clearly one of the largest studies to date that has examined the diagnostic performance of oscillometry in real-life clinical practice; however, we argue that the Z-score methodology used to compare diagnostic performance of oscillometry with spirometry is not appropriate and therefore misleads the interpretation.
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Affiliation(s)
- Sundeep Salvi
- Pulmocare Research and Education Foundation, Pune, India
- Faculty of Health Sciences, Symbiosis International University, Pune, India
| | - Deesha Ghorpade
- Pulmocare Research and Education Foundation, Pune, India
- Deesha Ghorpade ()
| | - Nitin Vanjare
- Department of Connected Devices, IQVIA, Thane, India
| | - Sapna Madas
- Pulmocare Research and Education Foundation, Pune, India
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Liang X, Zheng J, Wang Z, Gao Y. Reply to: Interpreting lung oscillometry results: Z-scores instead of fixed cut-off values? ERJ Open Res 2023; 9:00718-2022. [PMID: 37009021 PMCID: PMC10052788 DOI: 10.1183/23120541.00718-2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Accepted: 12/27/2022] [Indexed: 03/31/2023] Open
Abstract
Z-score is preferable to fixed cut-offs in the interpretation of respiratory oscillometry resultshttps://bit.ly/3GrKs2p We thank S. Salvi and co-workers for their interest in our original article [1], which analysed the characteristics and diagnostic performance of respiratory oscillometry in respiratory diseases. S. Salvi and co-workers proposed that fixed cut-off values, instead of Z-scores, should be used to differentiate between healthy and disease states.
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Affiliation(s)
- Xiaolin Liang
- Department of Respiratory and Critical Care, Zhongshan City People's Hospital, Zhongshan, China
| | - Jinping Zheng
- 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
| | - Zhufeng Wang
- 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
| | - Yi Gao
- 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
- Yi Gao ()
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Impulse Oscillometry as a Diagnostic Test for Pulmonary Emphysema in a Clinical Setting. J Clin Med 2023; 12:jcm12041547. [PMID: 36836082 PMCID: PMC9967696 DOI: 10.3390/jcm12041547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 02/08/2023] [Accepted: 02/13/2023] [Indexed: 02/18/2023] Open
Abstract
Body plethysmography (BP) is the standard pulmonary function test (PFT) in pulmonary emphysema diagnosis, but not all patients can cooperate to this procedure. An alternative PFT, impulse oscillometry (IOS), has not been investigated in emphysema diagnosis. We investigated the diagnostic accuracy of IOS in the diagnosis of emphysema. Eighty-eight patients from the pulmonary outpatient clinic at Lillebaelt Hospital, Vejle, Denmark, were included in this cross-sectional study. A BP and an IOS were performed in all patients. Computed tomography scan verified presence of emphysema in 20 patients. The diagnostic accuracy of BP and IOS for emphysema was evaluated with two multivariable logistic regression models: Model 1 (BP variables) and Model 2 (IOS variables). Model 1 had a cross-validated area under the ROC curve (CV-AUC) = 0.892 (95% CI: 0.654-0.943), a positive predictive value (PPV) = 59.3%, and a negative predictive value (NPV) = 95.0%. Model 2 had a CV-AUC = 0.839 (95% CI: 0.688-0.931), a PPV = 55.2%, and an NPV = 93.7%. We found no statistically significant difference between the AUC of the two models. IOS is quick and easy to perform, and it can be used as a reliable rule-out method for emphysema.
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Ma D, Shi H, Tan C, Zou W, Sun F, Wang K, Lei Q, Zheng X, Zhong Y, Tu C, Chen M, Huang Y, Wang Z, Wu J, Liang Y, Liu J. Quantitative CT Metrics for the Prediction of Therapeutic Effect in Asthma. J Clin Med 2023; 12:639. [PMID: 36675568 PMCID: PMC9861330 DOI: 10.3390/jcm12020639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 01/03/2023] [Accepted: 01/09/2023] [Indexed: 01/15/2023] Open
Abstract
Background: Few studies have explored the correlation between asthma medication and features on HRCT images. We aim to analyse the differences and temporal changes of lung function and airway resistance in asthma with diverse HRCT phenotypes in a short period after inhalation of budesonide/formoterol. Method: This observational study recruited 55 adult patients with varying severities of asthma. We performed detailed airway metrics measurements of chest CT scans, such as airway wall thickness (WT), wall area percentage (WA%), wall thickness percentage (T/OR), and airways with an inner perimeter of 10 mm (Pi10). The effect of lung structural features on asthma medication response was explored according to the WA% and T/OR twelve hours post-drug administration. Using multivariable regression models, we then assessed the influence of WA% on lung function. Results: WA% (p < 0.001) and T/OR (p < 0.001) significantly increased in asthma than in healthy control subjects. Compared to mild asthma, airway walls were further thickened (WA%, p = 0.023; T/OR: p = 0.029) and associated with lumen narrowing (Pi10, p = 0.055) in moderate to severe asthma. WA% and T/OR correlated well with lung function (FEV1, FVC, MMEF, and PEF) and airway resistance (R5, R20, Rp, and Fres). Regression analysis showed that MEF25 decreased with increasing age and WA% (R2 = 0.58, p < 0.001). Patients with thickened airway walls experienced a maximal increase in FVC, FEV1, and PEF at 2 h (p < 0.001) and a maximal decrease of R5, Z5, and Rp at 2 h (p < 0.001) in those with a thickened airway pattern. Conclusions: Asthma patients with different bronchial wall thicknesses exhibited variable lung function changes. Specifically, patients with thick airway wall patterns were more sensitive to inhaled budesonide in the short term.
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Affiliation(s)
- Donghai Ma
- Department of Respiratory and Critical Care Medicine, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai 519000, China
- Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital Sun Yat-sen University, Zhuhai 519000, China
| | - Honglei Shi
- Department of Respiratory and Critical Care Medicine, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai 519000, China
- Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital Sun Yat-sen University, Zhuhai 519000, China
| | - Cuiyan Tan
- Department of Respiratory and Critical Care Medicine, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai 519000, China
| | - Wei Zou
- Department of Respiratory and Critical Care Medicine, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai 519000, China
- Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital Sun Yat-sen University, Zhuhai 519000, China
| | - Fengfei Sun
- Department of Respiratory and Critical Care Medicine, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai 519000, China
- Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital Sun Yat-sen University, Zhuhai 519000, China
| | - Kongqiu Wang
- Department of Respiratory and Critical Care Medicine, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai 519000, China
| | - Qianqian Lei
- Department of Respiratory and Critical Care Medicine, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai 519000, China
| | - Xiaobin Zheng
- Department of Respiratory and Critical Care Medicine, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai 519000, China
| | - Yuanyuan Zhong
- Department of Respiratory and Critical Care Medicine, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai 519000, China
| | - Changli Tu
- Department of Respiratory and Critical Care Medicine, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai 519000, China
| | - Meizhu Chen
- Department of Respiratory and Critical Care Medicine, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai 519000, China
| | - Yiying Huang
- Department of Respiratory and Critical Care Medicine, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai 519000, China
| | - Zhenguo Wang
- Department of Respiratory and Critical Care Medicine, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai 519000, China
| | - Jian Wu
- Department of Respiratory and Critical Care Medicine, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai 519000, China
| | - Yingjian Liang
- Department of Respiratory and Critical Care Medicine, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai 519000, China
| | - Jing Liu
- Department of Respiratory and Critical Care Medicine, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai 519000, China
- Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital Sun Yat-sen University, Zhuhai 519000, China
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Sharshar R, Elzahapy N, Mohamed A, El-Shimy W. Impulse oscillometry system as a new diagnostic tool in patients with chronic obstructive pulmonary disease. EGYPTIAN JOURNAL OF CHEST DISEASES AND TUBERCULOSIS 2023. [DOI: 10.4103/ecdt.ecdt_10_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023] Open
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13
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Lungenfunktionsprüfung im höheren Lebensalter. Z Gerontol Geriatr 2022; 55:603-612. [DOI: 10.1007/s00391-022-02070-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Accepted: 02/03/2022] [Indexed: 10/14/2022]
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Sugawara H, Saito A, Yokoyama S, Tsunematsu K, Chiba H. Association between annual change in FEV1 and comorbidities or impulse oscillometry in chronic obstructive pulmonary disease. BMC Pulm Med 2022; 22:185. [PMID: 35527263 PMCID: PMC9080138 DOI: 10.1186/s12890-022-01980-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 04/18/2022] [Indexed: 11/16/2022] Open
Abstract
Background Chronic obstructive pulmonary disease (COPD) is characterized by persistent respiratory symptoms and airflow limitation. The decline in forced expiratory volume in one second (FEV1) is considered to be one of the most important outcome measures for evaluating disease progression. However, the only intervention proven to improve COPD prognosis is smoking cessation. This study therefore investigated the factors associated with annual FEV1 decline in COPD. Methods This retrospective study followed up 65 patients treated for COPD for 5 years: 13 current smokers and 52 former smokers, 25 with pneumonia, 24 with asthma, 18 with cancer, and 17 with cardiovascular disease. The patients were divided into groups based on clinical cutoff parameters of the impulse oscillometry system (IOS): 11 high and 54 low R5, 8 high and 57 low R20, 21 high and 44 low R5–R20, 26 high and 39 low X5, 38 high and 27 low Fres, and 36 high and 29 low AX. We investigated whether the decline in FEV1 was associated with comorbidities and IOS parameters. Results The annual change in FEV1 over 5 years was significantly affected by smoking status (current − 66.2 mL/year vs. former − 5.7 mL/year, p < 0.01), pneumonia (with − 31.5 mL/year vs. without − 8.9 mL/year, p < 0.05), asthma (with − 30.2 mL/year vs. − 10.8 mL/year, p < 0.01), but not by cancer and cardiovascular disease. In the groups defined by IOS results, only the high AX group had significantly more annual decline in FEV1 and %FEV1 than the low AX group (− 22.1 vs. − 12.8, p < 0.05 and − 0.20 vs. 0.40, p < 0.05, respectively). Conclusions Continuing smoking as well as complications in pneumonia and asthma would be risk factors for the progression of COPD. AX might be a suitable parameter to predict the prognosis of patients with COPD. Supplementary Information The online version contains supplementary material available at 10.1186/s12890-022-01980-6.
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15
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Upper airway symptoms and Small Airways Disease in Chronic Obstructive Pulmonary Disease, COPD. Respir Med 2022; 191:106710. [DOI: 10.1016/j.rmed.2021.106710] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 11/28/2021] [Accepted: 11/30/2021] [Indexed: 01/16/2023]
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Liang XL, Gao Y, Guan WJ, Du J, Chen L, Han W, Liu JM, Lu Y, Peng Y, Zhao BR, Wang T, Zheng JP. Reference values of respiratory impedance with impulse oscillometry in healthy Chinese adults. J Thorac Dis 2021; 13:3680-3691. [PMID: 34277060 PMCID: PMC8264702 DOI: 10.21037/jtd-20-3376] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 05/22/2021] [Indexed: 02/04/2023]
Abstract
Background Impulse oscillometry (IO) is a non-invasive pulmonary function test for measuring respiratory impedance. Available reference equations of IO indices for adults are limited. The aim of this study was to develop reference equations of IO indices for Chinese adults. Methods In a multicentral, cross-sessional study of IO in Chinese adults, IO data from healthy subjects were collected from 19 general hospitals across China between 2016 and 2018. Oscillometry measurements were conducted in accordance with recommendations of the European Respiratory Society (ERS). Multiple linear regression was performed to develop sex-specific reference equations of IO indices. Results IO measurements were performed in 1,318 subjects, of which 567 subjects were defined as healthy individuals with acceptable IO data and were included in the final analysis. Reference equations and limits of normal [lower limit of normal (LLN)/upper limit of normal (ULN)] of IO indices were developed separately for males and females. Height but not age was shown to be the most influential contributor to IO indices. The reference equations currently used in lung function laboratories predicted higher R5 and X5. Normal ranges of R5 and X5 recommended by the equipment manufacturer were clearly different from the ULN/LLN derived from the reference equations. Conclusions Reference equations of IO indices for Chinese adults from a wide region were provided in this study. It is necessary to update new IO reference equations and adopt ULN/LLN as normal ranges of IO indices. Trial Registration This study was registered at www.clinicaltrials.gov as part of a larger study NCT03467880.
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Affiliation(s)
- Xiao-Lin Liang
- 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
| | - Yi Gao
- 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
| | - Wei-Jie Guan
- 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
| | - Jing Du
- Department of Respiratory and Critical Care, West China Hospital, Sichuan University, Chengdu, China
| | - Li Chen
- Department of Respiratory Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Wen Han
- Department 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
| | - Jin-Ming Liu
- Department of Pulmonary Function Test, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yong Lu
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Yi Peng
- Department of Respiratory Medicine, Union Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Bing-Rong Zhao
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
| | - Tao Wang
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jin-Ping Zheng
- 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
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Tang Z, Li M, Chu G, Mou Y, Chen Q, Zhu H. Application Value of Broadband 3-Dimensional Impulse Oscillometry in COPD. Int J Chron Obstruct Pulmon Dis 2021; 16:215-223. [PMID: 33574662 PMCID: PMC7871874 DOI: 10.2147/copd.s285927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Accepted: 01/07/2021] [Indexed: 11/23/2022] Open
Abstract
Objective To explore the correlation of respiratory resistance in stable COPD patients measured by broadband 3-dimensional impulse oscillometry (3D-IOS) and traditional pulmonary function test (PFT). To access the diagnostic value of 3D-IOS in COPD. Methods A total of 107 COPD patients and 61 healthy subjects as controls were chosen to collect and statistically analyze the data of R5, R5–R20, R20, X5 and Fres measured by broadband 3D-IOS and FEV1%pred, FVC%pred and FEV1/FVC by PFTs. The diagnostic value of broadband 3D-IOS parameters in COPD was evaluated by receiver operating characteristic curve (ROC). 3D-colored images used to show dynamic changes of respiratory resistance in COPD. Results The COPD group showed significant increases in R5, R20, R5–R20 and Fres, and a decrease in X5 (P<0.05). With the increase of GOLD grade, R5, R5–R20 and Fres increased whereas X5 decreased (P<0.05). Compared with FEV1%pred, FVC%pred and FEV1/FVC in the COPD group, R5, R5–R20 and Fres were negatively collated (P<0.05), whereas X5 was positively collated (P<0.01). R20 was uncorrelated with the traditional lung function parameters (P>0.05). Fres and FEV1/FVC (r=−0.467), and X5 and FEV1%pred (r=0.412) showed the strongest correlation. The AUC of R5, R5–R20, X5 and Fres was 0.7808, 0.7659, 0.8947 and 0.9095, respectively. Typical 3D-colored images of COPD displayed a green pattern in the inhalation phase and yellow–red–blue graduation in the expiration phase. Conclusion R5, R5-R20, X5 and Fres measured by broadband 3D-IOS can reflect the change of respiratory resistance in COPD. And they have good correlation with the traditional lung function parameters (FEV1%pred, FVC%pred, FEV1/FVC). Fres has the highest diagnostic accuracy. Comprehensive analysis of R5, R5–R20, Fres and X5 helps to determine the degree of respiratory obstruction in COPD. X5 and Fres can reflect changes in lung tissue compliance. 3D-colored images can visually show the change of respiratory resistance and reactance in COPD.
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Affiliation(s)
- Zhonghao Tang
- Department of Pulmonary Medicine, Huadong Hospital, Fudan University, Shanghai, 200040, People's Republic of China
| | - Minjing Li
- Department of Pulmonary Medicine, Huadong Hospital, Fudan University, Shanghai, 200040, People's Republic of China
| | - Guokun Chu
- Department of Pulmonary Medicine, Huadong Hospital, Fudan University, Shanghai, 200040, People's Republic of China
| | - Yan Mou
- Department of Pulmonary Medicine, Huadong Hospital, Fudan University, Shanghai, 200040, People's Republic of China
| | - Qi Chen
- Department of Pulmonology Medicine, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People's Republic of China
| | - Huili Zhu
- Department of Pulmonary Medicine, Huadong Hospital, Fudan University, Shanghai, 200040, People's Republic of China
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18
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Chaiwong W, Namwongprom S, Liwsrisakun C, Pothirat C. Diagnostic Ability of Impulse Oscillometry in Diagnosis of Chronic Obstructive Pulmonary Disease. COPD 2020; 17:635-646. [PMID: 33121279 DOI: 10.1080/15412555.2020.1839042] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
The diagnosis of chronic obstructive pulmonary disease (COPD) mainly relies on spirometry. Due to the complexity of spirometry, easier-to-do impulse oscillometry (IOS) has been introduced as a complementary approach to conventional pulmonary function testing. Therefore, this study aimed to assess the efficacy of the diagnostic ability of IOS for diagnosing chronic obstructive pulmonary disease (COPD). This cross-sectional study was conducted at the Lung Health Center, Chiang Mai University, Thailand, between June 2019 and January 2020. IOS and spirometry were performed with all subjects suspected of having COPD. A Receiver Operating Characteristic (ROC) curve was plotted, the area under the ROC (AuROC) and 95%CI were compared among COPD and chronic smokers. One hundred and seventeen subjects suspected of having COPD with a mean age of 68.6 ± 8.6 years old were enrolled. Of these 103 (88.0%) were male. Thirty healthy subjects were also enrolled. IOS parameters including resistance at 5 Hz (R5), resonant frequency (Fres), area under reactance (AX), heterogeneity of resistance (R5-R20), and reactance at 5 Hz (X5) demonstrated excellent overall accuracy relative to the diagnosis of COPD with an AuROC ranging from 0.80 - 0.84. The AX ≥ 8.66 cmH2O/L represented an AuROC = 0.79, with a sensitivity of 79.1% and a specificity of 78.0% for the diagnosis of COPD. IOS is a valuable tool for use in the diagnosis of COPD. It may be used in subjects who cannot carry out the spirometric procedure.
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Affiliation(s)
- Warawut Chaiwong
- Division of Pulmonary, Critical Care, and Allergy, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.,Clinical Epidemiology and Clinical Statistic Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Sirianong Namwongprom
- Clinical Epidemiology and Clinical Statistic Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.,Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Chalerm Liwsrisakun
- Division of Pulmonary, Critical Care, and Allergy, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Chaicharn Pothirat
- Division of Pulmonary, Critical Care, and Allergy, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
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Popov TA, Passalacqua G, González-Díaz SN, Plavec D, Braido F, García-Abujeta JL, Dubuske L, Rouadi P, Morais-Almeida M, Bonini S, Cheng L, Ansotegui IJ. Medical devices in allergy practice. World Allergy Organ J 2020; 13:100466. [PMID: 33024482 PMCID: PMC7529824 DOI: 10.1016/j.waojou.2020.100466] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 08/22/2020] [Accepted: 09/03/2020] [Indexed: 12/12/2022] Open
Abstract
Medical devices provide people with some health benefits in terms of diagnosis, prevention, treatment, and monitoring of disease processes. Different medical specialties use varieties of medical devices more or less specific for them. Allergology is an interdisciplinary field of medical science and teaches that allergic reactions are of systemic nature but can express themselves at the level of different organs across the life cycle of an individual. Subsequently, medical devices used in allergology could be regarded as: 1) general, servicing the integral diagnostic and management principles and features of allergology, and 2) organ specific, which are shared by organ specific disciplines like pulmonology, otorhinolaryngology, dermatology, and others. The present position paper of the World Allergy Organization (WAO) is meant to be the first integral document providing structured information on medical devices in allergology used in daily routine but also needed for sophisticated diagnostic purposes and modern disease management. It is supposed to contribute to the transformation of the health care system into integrated care pathways for interrelated comorbidities.
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Key Words
- AAP, Asthma Action Plan
- ATS, American Thoracic Society
- Airway inflammation
- Allergic rhinitis
- Allergology
- Allergy
- Allergy diagnosis
- Asthma
- CE mark, Conformité Européenne mark
- CO, Carbon monoxide
- DPIs, Dry Powder Inhalers
- EAI/AAI, Epinephrine/Adrenaline Auto-Injector
- EBC, Exhaled Breath Condensate
- EBT, Exhaled Breath Temperature
- EDS, Exhalation Delivery Systems
- EMA, European Medicines Agency
- ERS, European Respiratory Society
- ERV, Expiratory Reserve Volume
- FDA, Food and Drug Administration
- FEF, Forced Expiratory Flows
- FEV1, Forced Expiratory Volume in 1 second
- FOT, Forced Oscillation Technique
- FRC, Functional Residual Capacity
- FVC, Forced Vital Capacity
- FeNO, Fractional Exhaled Nitric Oxide
- GLI, Global Lung Function Initiative
- IOS, Impulse Oscillometry
- IRV, Inspiratory Reserve Volume
- Lung function tests
- MDPS, Metered-Dose Pump Sprays
- Medical devices
- NDDD, Nasal Drug Delivery Device
- NO, Nitric oxide
- PDMI, Pressurized Metered Dose Inhaler
- PEF, Peak Expiratory Flow
- PNIF, Peak Nasal Inspiratory Flow
- PT, Patch Tests
- PhPT, Photopatch tests
- Ppb, part per billion
- RV, Residual Volume
- SPT, Skin Prick Test
- Skin tests
- TLC, Total Lung Capacity
- UV, Ultra Violet
- VC, Vital Capacity
- VT, Tidal Volume
- WAO, World Allergy Organization
- WHO, World Health Organization
- m-health
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Affiliation(s)
| | | | | | | | | | | | - Lawrence Dubuske
- The George Washington University School of Medicine, Washington DC, USA
| | | | | | - Sergio Bonini
- Institute of Translational Pharmacology, Italian National Research Council, Rome, Italy
| | - Lei Cheng
- Nanjing Medical University, First Affiliated Hospital, Nanjing, China
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Ram J, Pineda-Cely J, Calhoun WJ. Forced Oscillometry: A New Tool for Assessing Airway Function-Is It Ready for Prime Time? THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY-IN PRACTICE 2020; 7:2861-2862. [PMID: 31706498 DOI: 10.1016/j.jaip.2019.07.037] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 07/31/2019] [Indexed: 10/25/2022]
Affiliation(s)
- Jonathan Ram
- Division of Pulmonary, Critical Care, and Sleep, Department of Internal Medicine, University of Texas Medical Branch, Galveston, Texas
| | - Jenny Pineda-Cely
- Division of Allergy and Clinical Immunology, Department of Internal Medicine, University of Texas Medical Branch, Galveston, Texas
| | - William J Calhoun
- Division of Pulmonary, Critical Care, and Sleep, Department of Internal Medicine, University of Texas Medical Branch, Galveston, Texas; Division of Allergy and Clinical Immunology, Department of Internal Medicine, University of Texas Medical Branch, Galveston, Texas.
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21
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Sultan D. Satisfaction and clinical application value of impulse oscillometry in geriatric patients with chronic obstructive pulmonary disease in comparison with non geriatric patients. EGYPTIAN JOURNAL OF CHEST DISEASES AND TUBERCULOSIS 2020. [DOI: 10.4103/ejcdt.ejcdt_56_19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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Chiu HY, Hsiao YH, Su KC, Lee YC, Ko HK, Perng DW. Small Airway Dysfunction by Impulse Oscillometry in Symptomatic Patients with Preserved Pulmonary Function. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY-IN PRACTICE 2019; 8:229-235.e3. [PMID: 31299351 DOI: 10.1016/j.jaip.2019.06.035] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Revised: 05/13/2019] [Accepted: 06/18/2019] [Indexed: 01/18/2023]
Abstract
BACKGROUND Asthma and chronic obstructive pulmonary disease are characterized by persistent airway inflammation and airflow limitation. Early detection of these diseases in patients with respiratory symptoms and preserved pulmonary function (PPF) defined by spirometry is difficult. Impulse oscillometry (IOS) may have better sensitivity than effort-dependent forced expiratory flow between 25% and 75% (FEF25%-75%) to detect small airway dysfunction (SAD). OBJECTIVE To identify SAD in patients with respiratory symptoms and PPF using IOS. METHODS Medical records of symptomatic patients without acute or known structural lung diseases were evaluated. Patients had bronchodilator testing and IOS in the outpatient clinic between March 1 and July 31, 2017. Correlations between respiratory symptoms, spirometry, and IOS parameters were determined. RESULTS Among 349 patients enrolled to the study, 255 (73.1%) patients met the criteria of PPF. The IOS parameters-difference in resistance at 5 Hz and resistance at 20 Hz , reactance at 5 Hz, resonant frequency (Fres), and area under reactance curve between 5 Hz and resonant frequency-were significantly correlated with FEF25%-75%. The cutoffs for SAD were difference in resistance at 5 Hz and resistance at 20 Hz greater than 0.07 kPa/(L/s), reactance at 5 Hz less than -0.12 kPa/(L/s), Fres greater than 14.14 Hz, and area under reactance curve between 5 Hz and resonant frequency greater than 0.44 kPa/L. Of the IOS parameters, Fres and reactance at 5 Hz had the highest sensitivity and specificity. When compared with FEF25%-75%, Fres had greater sensitivity to detect SAD in patients with PPF. Patients with IOS-defined SAD had a significantly higher incidence of wheeze or sputum production than did those defined by FEF25%-75%. CONCLUSIONS Patients with respiratory symptoms and PPF may have SAD, which can be identified with the aid of IOS in addition to spirometry.
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Affiliation(s)
- Hwa-Yen Chiu
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Yi-Han Hsiao
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Physiology, School of Medicine, National Yang-Ming University, Taipei, Taiwan; Faculty of Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Kang-Cheng Su
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Physiology, School of Medicine, National Yang-Ming University, Taipei, Taiwan; Faculty of Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Yu-Chin Lee
- Faculty of Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan; Sijhih Cathay General Hospital, New Taipei City, Taiwan
| | - Hsin-Kuo Ko
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Physiology, School of Medicine, National Yang-Ming University, Taipei, Taiwan; Faculty of Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan.
| | - Diahn-Warng Perng
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Faculty of Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan.
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Forty years of reference values for respiratory system impedance in adults: 1977–2017. Respir Med 2018; 136:37-47. [DOI: 10.1016/j.rmed.2018.01.015] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2017] [Revised: 01/22/2018] [Accepted: 01/27/2018] [Indexed: 11/22/2022]
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Zaidan MF, Reddy AP, Duarte A. Impedance Oscillometry: Emerging Role in the Management of Chronic Respiratory Disease. Curr Allergy Asthma Rep 2018; 18:3. [PMID: 29380068 DOI: 10.1007/s11882-018-0757-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
PURPOSE OF REVIEW Chronic respiratory diseases affecting adults and children are widely prevalent, so lung function testing is imperative for diagnosis and management. Spirometry is the traditional standard measure of lung function; however, certain groups of patients are unable to provide accurate and reproducible exhalation maneuvers. Consequently, the impedance oscillometry system (IOS) has been developed as an effort, independent technique to assess airway function in children and the elderly. To better understand this emerging modality, the following review will compare IOS with spirometry, examine the function of the device, provide interpretation strategies, and discuss the evidence supporting its use in adults and children with chronic lung disease. RECENT FINDINGS In a population of symptomatic adults with suspected COPD, impedance oscillometry resistance measurements correlate with FEV1 and lung resistance increases with the severity of airflow limitation. In patients with asthma, IOS is a sensitive measure of airway hyperresponsiveness and bronchodilator response. Impedance oscillometry is evolving as an alternative measure to assess lung function pediatric and adult populations.
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Affiliation(s)
- Mohammed F Zaidan
- Division of Pulmonary Critical Care and Sleep Medicine, Department of Internal Medicine, University of Texas Medical Branch, 301 University Blvd, Galveston, TX, 77555, USA
| | - Ashwini P Reddy
- Division of Allergy/Immunology, Department of Pediatric Medicine, Perelman School of Medicine at the University of Pennsylvania, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Alexander Duarte
- Division of Pulmonary Critical Care and Sleep Medicine, Department of Internal Medicine, University of Texas Medical Branch, 301 University Blvd, Galveston, TX, 77555, USA.
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