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Bayat S. [Respiratory oscillometry: Theoretical foundations and clinical applications]. Rev Mal Respir 2024; 41:593-604. [PMID: 39174416 DOI: 10.1016/j.rmr.2024.08.002] [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: 03/29/2024] [Accepted: 07/22/2024] [Indexed: 08/24/2024]
Abstract
Oscillometry measures the mechanical properties of the respiratory system. As they are carried out during spontaneous breathing, oscillometry measurements do not require forced breathing maneuvers or the patient's active cooperation. The technique is complementary to conventional pulmonary function testing methods for the investigation of respiratory function, diagnosis and monitoring of respiratory diseases, and assessment of response to treatment. The present review aims to describe the theoretical foundations and practical methodology of oscillometry. It describes the gaps in scientific evidence regarding its clinical utility, and provides examples of current research and clinical applications.
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Affiliation(s)
- S Bayat
- Unité d'explorations fonctionnelles cardiorespiratoires, service de pneumologie et physiologie, CHU Grenoble Alpes, Grenoble, France; STROBE, Inserm UA07, université Grenoble Alpes, Grenoble, France.
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2
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Veneroni C, Gobbi A, Pompilio PP, Dellacà R, Fasola S, La Grutta S, Leyva A, Porszasz J, Stornelli SR, Fuso L, Valach C, Breyer-Kohansal R, Breyer MK, Hartl S, Contu C, Inchingolo R, Hodgdon K, Kaminsky DA. Reference Equations for Within-Breath Respiratory Oscillometry in White Adults. Respiration 2024; 103:521-534. [PMID: 38843786 DOI: 10.1159/000539532] [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: 01/18/2024] [Accepted: 05/08/2024] [Indexed: 07/19/2024] Open
Abstract
BACKGROUND Within-breath analysis of oscillometry parameters is a growing research area since it increases sensitivity and specificity to respiratory pathologies and conditions. However, reference equations for these parameters in White adults are lacking and devices using multiple sinusoids or pseudorandom forcing stimuli have been underrepresented in previous studies deriving reference equations. The current study aimed to establish reference ranges for oscillometry parameters, including also the within-breath ones in White adults using multi-sinusoidal oscillations. METHODS White adults with normal spirometry, BMI ≤30 kg/m2, without a smoking history, respiratory symptoms, pulmonary or cardiac disease, neurological or neuromuscular disorders, and respiratory tract infections in the previous 4 weeks were eligible for the study. Study subjects underwent oscillometry (multifrequency waveform at 5-11-19 Hz, Resmon PRO FULL, RESTECH Srl, Italy) in 5 centers in Europe and the USA according to international standards. The within-breath and total resistance (R) and reactance (X), the resonance frequency, the area under the X curve, the frequency dependence of R (R5-19), and within-breath changes of X (ΔX) were submitted to lambda-mu-sigma models for deriving reference equations. For each output parameter, an AIC-based stepwise input variable selection procedure was applied. RESULTS A total of 144 subjects (age 20.8-86.3 years; height 146-193 cm; BMI 17.42-29.98 kg/m2; 56% females) were included. We derived reference equations for 29 oscillatory parameters. Predicted values for inspiratory and expiratory parameters were similar, while differences were observed for their limits of normality. CONCLUSIONS We derived reference equations with narrow confidence intervals for within-breath and whole-breath oscillatory parameters for White adults.
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Affiliation(s)
- Chiara Veneroni
- Department of Electronics, Information and Bioengineering, Politecnico di Milano University, Milan, Italy,
| | | | | | - Raffaele Dellacà
- Department of Electronics, Information and Bioengineering, Politecnico di Milano University, Milan, Italy
| | - Salvatore Fasola
- Institute of Translational Pharmacology, National Research Council, Palermo, Italy
| | - Stefania La Grutta
- Institute of Translational Pharmacology, National Research Council, Palermo, Italy
| | - Agustin Leyva
- The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, USA
| | - Janos Porszasz
- The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, USA
| | | | - Leonello Fuso
- Respiratory Disease Unit, Azienda Ospedaliera San Giovanni-Addolorata, Rome, Italy
| | | | - Robab Breyer-Kohansal
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- Department of Respiratory and Pulmonary Diseases, Clinic Hietzing, Vienna Healthcare Group, Vienna, Austria
| | - Marie-Kathrin Breyer
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- Department of Respiratory and Pulmonary Diseases, Clinic Penzing, Vienna Healthcare Group, Vienna, Austria
| | - Sylvia Hartl
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- Sigmund Freud University, Faculty for Medicine, Vienna, Austria
| | - Chiara Contu
- Dipartimento Neuroscienze, Organi di Senso e Torace UOC Pneumologia, Gemelli, Fondazione Policlinico Universitario A, Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Riccardo Inchingolo
- Dipartimento Neuroscienze, Organi di Senso e Torace UOC Pneumologia, Gemelli, Fondazione Policlinico Universitario A, Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Kevin Hodgdon
- Division of Pulmonary and Critical Care, University of Vermont Larner College of Medicine, Burlington, Vermont, USA
| | - David A Kaminsky
- Division of Pulmonary and Critical Care, University of Vermont Larner College of Medicine, Burlington, Vermont, USA
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Mondal P, Lopez SP, Khokhar A, Snyder D, Kitch D, Veten A. The influence of body mass index on airway resistance in children with sickle cell disease: A longitudinal study based on impulse oscillometry. Respir Med 2024; 224:107564. [PMID: 38360190 DOI: 10.1016/j.rmed.2024.107564] [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] [Received: 05/20/2023] [Revised: 12/07/2023] [Accepted: 02/09/2024] [Indexed: 02/17/2024]
Abstract
BACKGROUND Impulse oscillometry (IOS) is an effective tool for assessing airway mechanics and diagnosing obstructive airway disease (OAD) in children with sickle cell disease (C-SCD). Obesity is known to be associated with OAD, and untreated OAD often leads to hypoxia-related complications in C-SCD. Considering the increasing prevalence of obesity in C-SCD, it is important to explore the influence of body mass index (BMI) on OAD in this disease population. METHODS A longitudinal retrospective chart review was conducted on 55 C-SCD (161 IOS observations) and 35 non-SCD asthmatic children (C-Asthma) (58 observations), primarily to investigate the association between BMI and airway resistance in C-SCD and C-Asthma. We conducted generalized linear mixed models (GLMM), adjusted for pharmacotherapies, to demonstrate the influence of BMI on total (R5), central (R20), and peripheral (R5-20) airway resistance and reactance (X5, resonant frequency (Fres)). We further compared age, BMI, and IOS indices between C-SCD and C-Asthma using the Mann-Whitney test. RESULTS Age and BMI were not statistically different between the two groups. In C-SCD, BMI was associated with R5 (GLMM t-statistics:3.75, 95%CI:1.01,3.27, p-value<0.001*) and R20 (t-statistics:4.01, 95%CI:1.04,1.15, p-value<0.001*), but not with R5-20 or airway reactance. In asthmatics, BMI was not associated with IOS estimates except Fres (t-statistics: 3.93, 95%CI: -0.06, -0.02, p-value<0.001*). C-SCD demonstrated higher airway resistances (R5 and R20) and reactance (Fres) compared to C-Asthma (Mann-Whitney: p-values<0.05). CONCLUSION BMI significantly influenced total and central airway resistance in C-SCD. While higher airway resistances reflected increased OAD in C-SCD than asthmatics, higher Fres perhaps indicated progressive pulmonary involvement in C-SCD.
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Affiliation(s)
- Pritish Mondal
- Department of Pediatrics, Penn State College of Medicine, Hershey, PA, USA.
| | | | - Arshjot Khokhar
- Department of Medicine, Yale School of Medicine, New Haven, CT, USA
| | - David Snyder
- Department of Neurology, Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - Diane Kitch
- Department of Pediatrics, Penn State College of Medicine, Hershey, PA, USA
| | - Ahmed Veten
- Department of Pediatrics, Penn State College of Medicine, Hershey, PA, USA
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Zhang Y, Tanabe N, Sato S, Shiraishi Y, Maetani T, Sakamoto R, Sato A, Muro S, Hirai T. Longitudinal changes in respiratory reactance in patients with COPD: associations with longitudinal change in air-trapping, exacerbations, and mortality. Respir Physiol Neurobiol 2024; 322:104216. [PMID: 38237883 DOI: 10.1016/j.resp.2024.104216] [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: 11/19/2023] [Revised: 01/04/2024] [Accepted: 01/13/2024] [Indexed: 01/28/2024]
Abstract
INTRODUCTION Air-trapping affects clinical outcomes in patients with chronic obstructive pulmonary disease (COPD) and may be detected by reactance at 5 Hz (X5) on respiratory oscillometry because X5 sensitively reflects the elasticity of the chest wall, airway and lung. However, the longitudinal association between X5 and air-trapping remains to be explored. This study aimed to test whether longitudinal changes in X5 could be associated with air-trapping progression, exacerbations, and mortality in patients with COPD. METHODS In this prospective COPD observational study, the follow-up period consisted of the first 4 years to obtain longitudinal changes in X5 and residual volume (RV) and number of exacerbations and the remaining years (year 4 to 10) to test mortality. Patients were divided into large, middle, and small X5 decline groups based on the tertiles of longitudinal change in X5, and mortality after 4 years was compared between the groups. RESULTS Patients with COPD (n = 114) were enrolled. The large X5 decline group (n = 38) showed a greater longitudinal change in RV and more exacerbations compared with the small X5 decline group (n = 39) in multivariable models adjusted for age, sex, body mass index, and smoking history. Long-term mortality after the 4-year follow-up was higher in the large X5 decline group than in the small X5 decline group (hazard ratio [95 % confidence interval] = 8.37[1.01, 69.0]) in the multivariable Cox proportional hazard model. CONCLUSION Longitudinal changes in respiratory reactance could be associated with progressive air-trapping, exacerbation frequency, and increased mortality in patients with COPD.
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Affiliation(s)
- Yi Zhang
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan
| | - Naoya Tanabe
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan.
| | - Susumu Sato
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan; Department of Respiratory Care and Sleep Control Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan
| | - Yusuke Shiraishi
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan
| | - Tomoki Maetani
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan
| | - Ryo Sakamoto
- Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan
| | - Atsuyasu Sato
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan
| | - Shigeo Muro
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan; Department of Respiratory Medicine, Nara Medical University Graduate School of Medicine, 840 Shijo-cho, Kashihara-shi, Nara 634-8521, Japan
| | - Toyohiro Hirai
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan
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Veneroni C, Valach C, Wouters EFM, Gobbi A, Dellacà RL, Breyer MK, Hartl S, Sunanta O, Irvin CG, Schiffers C, Pompilio PP, Breyer-Kohansal R. Diagnostic Potential of Oscillometry: A Population-based Approach. Am J Respir Crit Care Med 2024; 209:444-453. [PMID: 37972230 PMCID: PMC10878374 DOI: 10.1164/rccm.202306-0975oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 11/16/2023] [Indexed: 11/19/2023] Open
Abstract
Rationale: Respiratory resistance (Rrs) and reactance (Xrs) as measured by oscillometry and their intrabreath changes have emerged as sensitive parameters for detecting early pathological impairments during tidal breathing. Objectives: This study evaluates the prevalence and association of abnormal oscillometry parameters with respiratory symptoms and respiratory diseases in a general adult population. Methods: A total of 7,560 subjects in the Austrian LEAD (Lung, hEart, sociAl, boDy) Study with oscillometry measurements (computed with the Resmon Pro FULL; Restech Srl) were included in this study. The presence of respiratory symptoms and doctor-diagnosed respiratory diseases was assessed using an interview-based questionnaire. Rrs and Xrs at 5 Hz, their inspiratory and expiratory components, the area above the Xrs curve, and the presence of tidal expiratory flow limitation were analyzed. Normality ranges for oscillometry parameters were defined. Measurements and Main Results: The overall prevalence of abnormal oscillometry parameters was 20%. The incidence of abnormal oscillometry increased in the presence of symptoms or diagnoses: 17% (16-18%) versus 27% (25-29%), P < 0.0001. All abnormal oscillometry parameters except Rrs at 5 Hz were significantly associated with respiratory symptoms/diseases. Significant associations were found, even in subjects with normal spirometry, with abnormal oscillometry incidence rates increasing by 6% (4-8%; P < 0.0001) in subjects with symptoms or diagnoses. Conclusions: Abnormal oscillometry parameters are present in one-fifth of this adult population and are significantly associated with respiratory symptoms and disease. Our findings underscore the potential of oscillometry as a tool for detecting and evaluating respiratory impairments, even in individuals with normal spirometry.
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Affiliation(s)
- Chiara Veneroni
- Department of Electronics, Information and Bioengineering, Polytechnic University of Milan, Milan, Italy
| | - Christoph Valach
- Faculty for Medicine, Sigmund Freud University, Vienna, Austria
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- Department of Respiratory Medicine, Maastricht University, Maastricht, the Netherlands
| | - Emiel F. M. Wouters
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- Department of Respiratory Medicine, Maastricht University, Maastricht, the Netherlands
- Department of Pulmonary and Critical Care Medicine, University of Vermont, Burlington, Vermont; and
| | | | - Raffaele L. Dellacà
- Department of Electronics, Information and Bioengineering, Polytechnic University of Milan, Milan, Italy
| | - Marie-Kathrin Breyer
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- Department of Respiratory and Pulmonary Diseases, Clinic Penzing, Vienna Healthcare Group, Vienna, Austria
| | - Sylvia Hartl
- Faculty for Medicine, Sigmund Freud University, Vienna, Austria
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
| | - Owat Sunanta
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
| | - Charles G. Irvin
- Department of Pulmonary and Critical Care Medicine, University of Vermont, Burlington, Vermont; and
| | | | | | - Robab Breyer-Kohansal
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- Department of Respiratory and Pulmonary Diseases, Clinic Hietzing, Vienna Healthcare Group, Vienna Austria
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Aitken CR, Pathangey G, Stamos M, Kim CH, Johnson BD, Stewart GM. Reproducibility and responsiveness of airway impedance measures derived from the forced oscillation technique across different operating lung volumes. Respir Physiol Neurobiol 2024; 320:104200. [PMID: 38036081 DOI: 10.1016/j.resp.2023.104200] [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: 09/26/2023] [Revised: 11/21/2023] [Accepted: 11/22/2023] [Indexed: 12/02/2023]
Abstract
BACKGROUND The forced oscillation technique (FOT) enables non-invasive measurement of respiratory system impedance. Limited data exists on how changes in operating lung volume (OLV) impact FOT-derived measures of airway resistance (Rrs) and reactance (Xrs). OBJECTIVES This study examined the reproducibility and responsiveness of FOT-derived measures of Rrs and Xrs during simulated changes in OLV. METHODS Participants simulated breathing at six OLVs: total lung capacity (TLC), ∼50% of inspiratory reserve volume (IRV50), ∼two-times tidal volume (VT2), tidal volume (VT), ∼50% of expiratory reserve volume (ERV50), and residual volume (RV), on a commercially available FOT device. Each simulated OLV manuever was performed in triplicate and in random order. Total Rrs and Xrs were recorded at 5, 11, and 19 Hz. RESULTS Twelve healthy participants (2 female) completed the study (weight: 76.5 ± 13.6 kg, height: 178.6 ± 9.7 cm, body mass index: 23.9 ± 3.1 kg/m2). Reproducibility of Rrs and Xrs at VT, VT2 and IRV50 was good to excellent (Range: ICC: 0.89-0.98, 95% confidence interval (CI): 0.70-0.98), while reproducibility at TLC, RV, and ERV50 was poor to excellent (Range: ICC: 0.60-0.98, 95% CI: 0.36-0.97). Rrs and Xrs were not different between VT and VT2 at any frequency (P > .05). With lung hyperinflation from VT to TLC, Rrs and Xrs decreased at all three frequencies (e.g., At 5 Hz Rrs: mean difference (MD): - 0.89, 95%CI: - 0.03 to - 1.75, P = .04; Xrs: MD: - 0.56, 95%CI: - 0.25 to - 0.86, P < .01). With lung hypoinflated from VT to RV, Rrs increased, and Xrs decreased for all frequencies (e.g., MD at 5 Hz, Rrs: MD: 2.31, 95%CI: 0.94-3.67, P < .01; Xrs: MD: -2.53, 95%CI: -4.02 to -1.04, P < .01). CONCLUSION FOT-derived measures of airway Rrs and Xrs are reproducible across a range of OLV's, and are responsive to hyper- and hypo-inflation of the lung. To further understand the impact of lung hyper- and hypo-inflation on FOT-derived airway impedance additional study is required in individuals with pathological variations in operating lung volume.
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Affiliation(s)
- Craig R Aitken
- Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, Australia
| | | | - Mathew Stamos
- Depatment of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA
| | - Chul-Ho Kim
- Depatment of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA
| | - Bruce D Johnson
- Depatment of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA
| | - Glenn M Stewart
- Depatment of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA; Charles Perkins Centre and School of Medicine, Faculty of Medicine and Health, University of Sydney, Camberdown, NSW, Australia.
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Barreto M, Veneroni C, Caiulo M, Evangelisti M, Pompilio PP, Mazzuca MC, Raponi G, Pagani J, Parisi P. Within-breath oscillometry for identifying exercise-induced bronchoconstriction in pediatric patients reporting symptoms with exercise. Front Pediatr 2024; 11:1324413. [PMID: 38274467 PMCID: PMC10808442 DOI: 10.3389/fped.2023.1324413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 12/27/2023] [Indexed: 01/27/2024] Open
Abstract
Background Evaluating oscillometry parameters separately for the inspiratory and expiratory breath phases and their within-breath differences can help to identify exercise-induced bronchoconstriction (EIB) in pediatric outpatients disclosing exercise-induced symptoms (EIS). Aims To assess the response in impedance parameters following an exercise challenge in patients reporting EIS. Methods Sixty-eight patients reporting EIS (34 asthmatics and 34 suspected of asthma, age mean = 10.8 years, range = 6.0-16.0) underwent an incremental treadmill exercise test. Spirometry was performed at baseline and 1, 5-, 10-, 15-, and 20-min post exercise. Oscillometry was performed at baseline and at 3- and 18-min post exercise. Bronchodilator response to 200 µg albuterol was then assessed. EIB was defined as a forced expiratory volume in 1 s (FEV1) fall ≥10% from baseline. Expiratory and inspiratory resistance (Rrs) and reactance (Xrs), their z-score (Ducharme et al. 2022), and their mean within-breath differences (ΔRrs = Rrsexp-Rrsinsp, ΔXrs = Xrsexp-Xrsinsp) were calculated. Receiver operating characteristic (ROC) curves and their areas (AUCs) were used to evaluate impedance parameters' performances in classifying EIB. Results Asthmatic patients developed EIB more frequently than those suspected of asthma [18/34 (52.9%) vs. 2/34 (5.9%), p < 0.001]. In the 20 subjects with EIB, Rrsinsp, Rrsexp, Xrsinsp, and Xrsexp peaked early (3'), and remained steady except for Xrsinsp, which recovered faster afterward. ΔXrs widened 18 min following the exercise and reversed sharply after bronchodilation (BD) (-1.81 ± 1.60 vs. -0.52 ± 0.80 cmH2O × s/L, p < 0.001). Cutoffs for EIB leading to the highest AUCs were a rise of 0.41 in z-score Rrsinsp (Se: 90.0%, Sp: 66.7%), and a fall of -0.64 in z-score Xrsinsp (Se: 90.0%, Sp: 75.0%). Accepting as having "positive" postexercise oscillometry changes those subjects who had both z-scores beyond respective cutoffs, sensitivity for EIB was 90.0% (18/20) and specificity, 83.3% (40/48). Conclusion Oscillometry parameters and their within-breath differences changed markedly in pediatric patients presenting EIB and were restored after the bronchodilator. Strong agreement between z-scores of inspiratory oscillometry parameters and spirometry supports their clinical utility, though larger studies are required to validate these findings in a broader population.
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Affiliation(s)
- Mario Barreto
- NESMOS Department, Pediatric Unit Sant’Andrea Hospital, Faculty of Medicine and Psychology, “Sapienza” University, Rome, Italy
| | - Chiara Veneroni
- Department of Electronics, Information and Bioengineering, Politecnico di Milano University, Milano, Italy
| | - Mariaclaudia Caiulo
- NESMOS Department, Pediatric Unit Sant’Andrea Hospital, Faculty of Medicine and Psychology, “Sapienza” University, Rome, Italy
| | - Melania Evangelisti
- NESMOS Department, Pediatric Unit Sant’Andrea Hospital, Faculty of Medicine and Psychology, “Sapienza” University, Rome, Italy
| | | | - Maria Cristina Mazzuca
- NESMOS Department, Pediatric Unit Sant’Andrea Hospital, Faculty of Medicine and Psychology, “Sapienza” University, Rome, Italy
| | - Giorgia Raponi
- NESMOS Department, Pediatric Unit Sant’Andrea Hospital, Faculty of Medicine and Psychology, “Sapienza” University, Rome, Italy
| | - Jacopo Pagani
- NESMOS Department, Pediatric Unit Sant’Andrea Hospital, Faculty of Medicine and Psychology, “Sapienza” University, Rome, Italy
| | - Pasquale Parisi
- NESMOS Department, Pediatric Unit Sant’Andrea Hospital, Faculty of Medicine and Psychology, “Sapienza” University, Rome, Italy
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Funaita C, Furuie W, Koike F, Oyama S, Endo J, Otani Y, Ichikawa Y, Ito M, Nakamura Y, Komatuzaki K, Hirata A, Miyazaki Y, Sumi Y. Pattern recognition of forced oscillation technique measurement results using deep learning can identify asthmatic patients more accurately than setting reference ranges. Sci Rep 2023; 13:21608. [PMID: 38062060 PMCID: PMC10703832 DOI: 10.1038/s41598-023-48042-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Accepted: 11/21/2023] [Indexed: 12/18/2023] Open
Abstract
No official clinical reference values have been established for MostGraph, which measures total respiratory resistance and reactance using the forced oscillation technique, complicating result interpretation. This study aimed to establish a reference range for MostGraph measurements and examine its usefulness in discriminating participants with asthma from controls (participants without any respiratory diseases). The study also aimed to investigate the effectiveness of deep learning in discriminating between the two aforementioned groups. To establish reference ranges, the MostGraph measurements of healthy controls (n = 215) were power-transformed to distribute the data more normally. After inverse transformation, the mean ± standard deviation × 2 of the transformed values were used to establish the reference ranges. The number of measured items outside the reference ranges was evaluated to discriminate patients with asthma (n = 941) from controls. Additionally, MostGraph measurements were evaluated using deep learning. Although reference ranges were established, patients with asthma could not be discriminated from controls. However, with deep learning, we could discriminate between the two groups with 78% accuracy. Therefore, deep learning, which considers multiple measurements as a whole, was more effective in interpreting MostGraph measurement results than use of reference ranges, which considers each result individually.
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Affiliation(s)
- Chiune Funaita
- Clinical Information Applied Sciences, Tokyo Medical and Dental University, Tokyo, 113-8519, Japan
| | - Wakaba Furuie
- Clinical Information Applied Sciences, Tokyo Medical and Dental University, Tokyo, 113-8519, Japan
| | - Fumika Koike
- Clinical Information Applied Sciences, Tokyo Medical and Dental University, Tokyo, 113-8519, Japan
| | - Saki Oyama
- Clinical Information Applied Sciences, Tokyo Medical and Dental University, Tokyo, 113-8519, Japan
| | - Junji Endo
- Nishi-Shinbashi Hoken Center, Tokyo, 105-0003, Japan
| | | | - Yuri Ichikawa
- Clinical Information Applied Sciences, Tokyo Medical and Dental University, Tokyo, 113-8519, Japan
| | - Minako Ito
- Medical Check-up Center, Yokohama City Minato Red Cross Hospital, Yokohama, 231-8682, Japan
| | - Yoichi Nakamura
- Medical Center for Allergic and Immune Diseases, Yokohama City Minato Red Cross Hospital, Yokohama, 231-8682, Japan
| | - Keiko Komatuzaki
- Department of Respiratory Medicine, Tokyo Medical and Dental University, Tokyo, 113-8519, Japan
| | - Akira Hirata
- Shibata Ekimae Hiratanaika Clinic, Niigata, 957-0055, Japan
| | - Yasunari Miyazaki
- Department of Respiratory Medicine, Tokyo Medical and Dental University, Tokyo, 113-8519, Japan
| | - Yuki Sumi
- Clinical Information Applied Sciences, Tokyo Medical and Dental University, Tokyo, 113-8519, Japan.
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Sarkar S, Jadhav U, Ghewade B, Sarkar S, Wagh P. Oscillometry in Lung Function Assessment: A Comprehensive Review of Current Insights and Challenges. Cureus 2023; 15:e47935. [PMID: 38034137 PMCID: PMC10685051 DOI: 10.7759/cureus.47935] [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: 09/18/2023] [Accepted: 10/29/2023] [Indexed: 12/02/2023] Open
Abstract
Oscillometry, a non-invasive technique for assessing lung function, has gained significant recognition and importance in modern pulmonary medicine. This comprehensive review thoroughly explores its principles, applications, advantages, limitations, recent innovations, and future directions. Oscillometry's primary strength lies in its ability to offer a holistic assessment of lung mechanics. Unlike traditional spirometry, oscillometry captures the natural airflow during quiet breathing, making it suitable for patients of all ages and those with severe respiratory conditions. It provides a comprehensive evaluation of airway resistance, reactance, and compliance, offering insights into lung function that were previously challenging to obtain. In clinical practice, oscillometry finds extensive application in diagnosing and managing respiratory diseases. It plays a pivotal role in asthma, chronic obstructive pulmonary disease (COPD), and interstitial lung diseases. By detecting subtle changes in lung function before symptoms manifest, oscillometry facilitates early interventions, improving disease management and patient outcomes. Oscillometry's non-invasive and patient-friendly nature is precious in pediatric care, where traditional spirometry may be challenging for young patients. It aids in diagnosing and monitoring pediatric respiratory disorders, ensuring that children receive the care they need from an early age. Despite its many advantages, oscillometry faces challenges, such as the need for standardized protocols and the complexity of data interpretation. However, ongoing efforts to establish global standards and provide education and training for healthcare professionals aim to address these issues. Looking ahead, oscillometry holds great promise in the field of personalized medicine. With its ability to tailor treatment plans based on individualized lung function data, healthcare providers can optimize therapy selection and dosing, ultimately improving patient care and quality of life. In conclusion, oscillometry is poised to play an increasingly pivotal role in modern pulmonary medicine. As standardization efforts continue and technology evolves, it is an indispensable tool in the clinician's arsenal for diagnosing, managing, and personalizing respiratory care, ultimately leading to improved patient outcomes and better respiratory health.
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Affiliation(s)
- Souvik Sarkar
- Respiratory Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education & Research, Wardha, IND
| | - Ulhas Jadhav
- Respiratory Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education & Research, Wardha, IND
| | - Babaji Ghewade
- Respiratory Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education & Research, Wardha, IND
| | - Syamal Sarkar
- Respiratory Medicine, Advanced Chest Care Centre, Ranchi, IND
| | - Pankaj Wagh
- Respiratory Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education & Research, Wardha, IND
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10
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Darley DR, Nilsen K, Vazirani J, Borg BM, Levvey B, Snell G, Plit ML, Tonga KO. Airway oscillometry parameters in baseline lung allograft dysfunction: Associations from a multicenter study. J Heart Lung Transplant 2023; 42:767-777. [PMID: 36681528 DOI: 10.1016/j.healun.2022.12.026] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 12/09/2022] [Accepted: 12/30/2022] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Baseline lung allograft dysfunction (BLAD), the failure to achieve ≥80%-predicted spirometry after lung transplant (LTx), is associated with impaired survival. Physiologic abnormalities in BLAD are poorly understood. Airway oscillometry measures respiratory system mechanics and may provide insight into understanding the mechanisms of BLAD. OBJECTIVES This study aims to describe and measure the association between airway oscillometry parameters [Reactance (Xrs5, Ax), Resistance (Rrs5, Rrs5-19)] (1) stable LTx recipients, comparing those with normal spirometry and those with BLAD; and (2) in recipients with chronic lung allograft dysfunction (CLAD), comparing those with normal baseline spirometry and those with BLAD. METHODS A multi-center cross-sectional study was performed including bilateral LTx between January 2020 and June 2021. Participants performed concurrent airway oscillometry and spirometry. Multivariable logistic regression was performed to measure the association between oscillometry parameters and BLAD. RESULTS A total of 404 LTx recipients performed oscillometry and 253 were included for analysis. Stable allograft function was confirmed in 149 (50.2%) recipients (92 (61.7%) achieving normal spirometry and 57 (38.3%) with BLAD). Among stable LTx recipients, lower Xrs5 Z-Score (aOR 0.50 95% CI 0.37-0.76, p = 0.001) was independently associated with BLAD. CLAD was present in 104 (35.0%) recipients. Among recipients with CLAD, lower Xrs5 Z-Score (aOR 0.73 95% CI 0.56-0.95, p = 0.02) was associated with BLAD. CONCLUSIONS Oscillometry provides novel physiologic insights into mechanisms of BLAD. The independent association between Xrs5 and BLAD, in both stable recipients and those with CLAD suggests that respiratory mechanics, in particular abnormal elastance, is an important physiologic feature. Further longitudinal studies are needed to understand the trajectory of oscillometry parameters in relation to allograft outcomes.
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Affiliation(s)
- David Ross Darley
- Lung Transplant Unit, St Vincent's Hospital Sydney, Darlinghurst NSW, Australia; School of Clinical Medicine, St Vincent's Healthcare Clinical Campus, UNSW Medicine & Health, UNSW Sydney, Australia.
| | - Kris Nilsen
- Lung Transplant Service, The Alfred Hospital, Melbourne, Australia
| | - Jaideep Vazirani
- Lung Transplant Service, The Alfred Hospital, Melbourne, Australia
| | - Brigitte M Borg
- Respiratory Medicine, The Alfred Hospital, Melbourne, Australia
| | - Bronwyn Levvey
- Lung Transplant Service, The Alfred Hospital, Melbourne, Australia
| | - G Snell
- Lung Transplant Service, The Alfred Hospital, Melbourne, Australia
| | - Marshall Lawrence Plit
- Lung Transplant Unit, St Vincent's Hospital Sydney, Darlinghurst NSW, Australia; School of Clinical Medicine, St Vincent's Healthcare Clinical Campus, UNSW Medicine & Health, UNSW Sydney, Australia
| | - Katrina O Tonga
- School of Clinical Medicine, St Vincent's Healthcare Clinical Campus, UNSW Medicine & Health, UNSW Sydney, Australia; Thoracic Medicine Department, St Vincent's Hospital Darlinghurst, Sydney, Australia; Northern Clinical School, Sydney Medical School, Faculty of Medicine & Health, University of Sydney, Sydney, Australia
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11
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Robinson PD, Salimi F, Cowie CT, Clifford S, King GG, Thamrin C, Hardaker K, Mazaheri M, Morawska L, Toelle BG, Marks GB. Ultrafine particle exposure and biomarkers of effect on small airways in children. ENVIRONMENTAL RESEARCH 2022; 214:113860. [PMID: 35820650 DOI: 10.1016/j.envres.2022.113860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 07/03/2022] [Accepted: 07/06/2022] [Indexed: 06/15/2023]
Abstract
The small size and large surface area of ultrafine particles (UFP) enhance their ability to deposit in the lung periphery and their reactivity. The Ultrafine Particles from Traffic Emissions and Children's Health (UPTECH) cross-sectional study was conducted in 8-11-year-old schoolchildren attending 25 primary (elementary) schools, randomly selected from the Brisbane Metropolitan Area, Queensland, Australia. Main study findings outlined indirect evidence of distal airway deposition (raised C reactive protein) but as yet, there is no direct evidence in the literature of effects of UFP exposure on peripheral airway function. We present further UPTECH study data from two sensitive peripheral airway function tests, Oscillometry and Multiple Breath Nitrogen Washout (MBNW), performed in 577 and 627 children (88% and 96% of UPTECH study cohort) respectively: mean(SD) age 10.1(0.9) years, 46% male, with 50% atopy and 14% current asthma. Bayesian generalised linear mixed effects regression models were used to estimate the effect of UFP particle number count (PNC) exposure on key oscillometry (airway resistance, (Rrs), and reactance, (Xrs)) and MBNW (lung clearance index, (LCI) and functional residual capacity, (FRC)) indices. We adjusted for age, sex, and height, and potential confounders including socio-economic disadvantage, PM2.5 and NO2 exposure. All models contained an interaction term between UFP PNC exposure and atopy, allowing estimation of the effect of exposure on non-atopic and atopic students. Increasing UFP PNC was associated with greater lung stiffness as evidenced by a decrease in Xrs [mean (95% credible interval) -1.63 (-3.36 to -0.05)%] per 1000#.cm-3]. It was also associated with greater lung stiffness (decrease in Xrs) in atopic subjects across all models [mean change ranging from -2.06 to -2.40% per 1000#.cm-3]. A paradoxical positive effect was observed for Rrs across all models [mean change ranging from -1.55 to -1.70% per 1000#.cm-3] (decreases in Rrs indicating an increase in airway calibre), which was present for both atopic and non-atopic subjects. No effects on MBNW indices were observed. In conclusion, a modest detrimental effect of UFP on peripheral airway function among atopic subjects, as assessed by respiratory system reactance, was observed extending the main UPTECH study findings which reported a positive association with a biomarker for systemic inflammation, C-reactive protein (CRP). Further studies are warranted to explore the pathophysiological mechanisms underlying increased respiratory stiffness, and whether it persists through to adolescence and adulthood.
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Affiliation(s)
- Paul D Robinson
- The Children's Hospital at Westmead, Sydney, Australia; Airway Physiology and Imaging, Woolcock Institute of Medical Research, University of Sydney, Australia; University of Sydney, Sydney, Australia
| | - Farhad Salimi
- University of Sydney, Sydney, Australia; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia; Centre for Air Pollution, Energy and Health Research (CAR), Australia
| | - Christine T Cowie
- Centre for Air Pollution, Energy and Health Research (CAR), Australia; Respiratory and Environmental Epidemiology, Woolcock Institute of Medical Research, University of Sydney, Australia; South Western Sydney Clinical Campus, University of New South Wales, Australia; Ingham Institute of Applied Medical Research, Sydney, Australia
| | - Samuel Clifford
- Centre for Air Pollution, Energy and Health Research (CAR), Australia; London School of Hygiene and Tropical Medicine, London, UK; International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, Australia
| | - Gregory G King
- Airway Physiology and Imaging, Woolcock Institute of Medical Research, University of Sydney, Australia; University of Sydney, Sydney, Australia
| | - Cindy Thamrin
- Airway Physiology and Imaging, Woolcock Institute of Medical Research, University of Sydney, Australia; University of Sydney, Sydney, Australia
| | - Kate Hardaker
- Airway Physiology and Imaging, Woolcock Institute of Medical Research, University of Sydney, Australia; University of Sydney, Sydney, Australia
| | - Mandana Mazaheri
- Centre for Air Pollution, Energy and Health Research (CAR), Australia; Department of Planning, Industry and the Environment, Sydney, Australia
| | - Lidia Morawska
- Centre for Air Pollution, Energy and Health Research (CAR), Australia; International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, Australia
| | - Brett G Toelle
- University of Sydney, Sydney, Australia; Respiratory and Environmental Epidemiology, Woolcock Institute of Medical Research, University of Sydney, Australia; Sydney Local Health District, Sydney, Australia.
| | - Guy B Marks
- Centre for Air Pollution, Energy and Health Research (CAR), Australia; Respiratory and Environmental Epidemiology, Woolcock Institute of Medical Research, University of Sydney, Australia; South Western Sydney Clinical Campus, University of New South Wales, Australia; Ingham Institute of Applied Medical Research, Sydney, Australia
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12
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Ghilain A, Marchand E. [The forced oscillation technique in the functional evaluation of COPD dyspnea]. Rev Mal Respir 2022; 39:659-668. [PMID: 36041937 DOI: 10.1016/j.rmr.2022.08.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 07/08/2022] [Indexed: 10/15/2022]
Abstract
INTRODUCTION The goal of the present study is to assess the relationship between functional respiratory parameters measured by the forced oscillation technique (FOT) in COPD patients and (1) dyspnea; (2) inspiratory capacity (IC), along with the variations occurring subsequent to bronchodilation. METHODS This cross-sectional study analyzed 40 stable COPD patients. Dyspnea was assessed by means of the San Diego Shortness of Breath Questionnaire. Forced oscillations were measured before and after bronchodilation by means of routine pulmonary function tests (PFTs). RESULTS The reactance parameters measured by the FOT correlated with dyspnea (AX5: r=0.46; P=0.003) similarly to IC (r=-0.46; P=0.003). Changes in AX5 following bronchodilation led to a predicted 12% and 200mL improvement in IC, AX5 (area under the ROC curve=0.85, P<0.001). CONCLUSIONS Forced oscillation technique (FOT) appears to be an interesting complement to routine PFTs in COPD assessment. Reactance parameters are correlated with dyspnea and their response to bronchodilators is a predictor of significantly improved inspiratory capacity (IC). All in all, FOT may be considered as a functional test with regard to pulmonary hyperinflation, a critical determinant of dyspnea.
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Affiliation(s)
- Arnaud Ghilain
- Service de pneumologie, CHU UCL Namur - Site Godinne, 5530 Yvoir, Belgique
| | - Eric Marchand
- Service de pneumologie, CHU UCL Namur - Site Godinne, 5530 Yvoir, Belgique; Institut de Recherche Expérimentale et Clinique (IREC), UCLouvain, Belgique; NAmur Research Institute for LIfe Sciences (NARILIS) et Unité de recherche en physiologie moléculaire (URPhyM), UNamur, 5000 Namur, Belgique.
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13
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Oscillometry and Asthma Control in Patients With and Without Fixed Airflow Obstruction. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY. IN PRACTICE 2022; 10:1260-1267.e1. [PMID: 34979333 DOI: 10.1016/j.jaip.2021.12.026] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 12/16/2021] [Accepted: 12/17/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND Asthma is defined by the presence of reversible airflow limitation, yet persistently abnormal spirometry may develop despite appropriate asthma treatment. Fixed airflow obstruction (FAO) describes abnormal postbronchodilator spirometry that is associated with greater symptom burden and disease severity. Respiratory oscillometry measures the mechanics of the entire airway tree, including peripheral airway changes that have been shown to influence asthma symptoms. OBJECTIVE To evaluate the relationship between abnormal oscillometry following bronchodilator and symptom control in adults with asthma. METHODS A prospective cohort of patients with asthma attending an airways clinic completed oscillometry (resistance and reactance), spirometry, and the Asthma Control Test. Postbronchodilator lung function below the lower limit of normal was considered abnormal. Spirometric FAO was defined as FEV1/forced vital capacity below the lower limit of normal. Spearman's rank coefficient and multiple linear regression were performed to assess associations of lung function parameters with Asthma Control Test. The discriminative ability of abnormal lung function to identify poor asthma control was determined using Cohen's kappa. RESULTS Ninety patients with asthma were included; 48% had spirometric FAO. Only reactance parameters, not spirometry, significantly related to (rs ≥ 0.315; P < .05) and identified asthma control (r2 = 0.236; P < .001). Lung function was more strongly associated with asthma control in patients with FAO compared with those without. Abnormal oscillometry identified an additional 24% of patients with poor asthma control as compared with spirometric FAO. CONCLUSIONS Reactance related to asthma control, independently of spirometric FAO. Abnormal postbronchodilator reactance identified more patients with poor asthma control compared with spirometry. These findings confirm that oscillometry is a relevant lung function test in the clinical assessment of asthma.
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14
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Kaminsky DA, Simpson SJ, Berger KI, Calverley P, de Melo PL, Dandurand R, Dellacà RL, Farah CS, Farré R, Hall GL, Ioan I, Irvin CG, Kaczka DW, King GG, Kurosawa H, Lombardi E, Maksym GN, Marchal F, Oostveen E, Oppenheimer BW, Robinson PD, van den Berge M, Thamrin C. Clinical significance and applications of oscillometry. Eur Respir Rev 2022; 31:31/163/210208. [PMID: 35140105 PMCID: PMC9488764 DOI: 10.1183/16000617.0208-2021] [Citation(s) in RCA: 72] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Accepted: 10/29/2021] [Indexed: 12/28/2022] Open
Abstract
Recently, “Technical standards for respiratory oscillometry” was published, which reviewed the physiological basis of oscillometric measures and detailed the technical factors related to equipment and test performance, quality assurance and reporting of results. Here we present a review of the clinical significance and applications of oscillometry. We briefly review the physiological principles of oscillometry and the basics of oscillometry interpretation, and then describe what is currently known about oscillometry in its role as a sensitive measure of airway resistance, bronchodilator responsiveness and bronchial challenge testing, and response to medical therapy, particularly in asthma and COPD. The technique may have unique advantages in situations where spirometry and other lung function tests are not suitable, such as in infants, neuromuscular disease, sleep apnoea and critical care. Other potential applications include detection of bronchiolitis obliterans, vocal cord dysfunction and the effects of environmental exposures. However, despite great promise as a useful clinical tool, we identify a number of areas in which more evidence of clinical utility is needed before oscillometry becomes routinely used for diagnosing or monitoring respiratory disease. This paper provides a current review of the interpretation, clinical significance and application of oscillometry in respiratory medicine, with special emphasis on limitations of evidence and suggestions for future research.https://bit.ly/3GQPViA
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Affiliation(s)
- David A Kaminsky
- Dept of Medicine, Pulmonary and Critical Care Medicine, University of Vermont, Larner College of Medicine, Burlington, VT, USA.,These authors have contributed equally to this manuscript
| | - Shannon J Simpson
- Children's Lung Health, Telethon Kids Institute, School of Allied Health, Curtin University, Perth, Australia.,These authors have contributed equally to this manuscript
| | - Kenneth I Berger
- Division of Pulmonary, Critical Care, and Sleep Medicine, NYU School of Medicine and André Cournand Pulmonary Physiology Laboratory, Belleuve Hospital, New York, NY, USA
| | - Peter Calverley
- Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UK
| | - Pedro L de Melo
- Dept of Physiology, Biomedical Instrumentation Laboratory, Institute of Biology and Faculty of Engineering, State University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Ronald Dandurand
- Lakeshore General Hospital, Pointe-Claire, QC, Canada.,Montreal Chest Institute, Meakins-Christie Labs, Oscillometry Unit of the Centre for Innovative Medicine, McGill University Health Centre and Research Institute, and McGill University, Montreal, QC, Canada
| | - Raffaele L Dellacà
- Dipartimento di Elettronica, Informazione e Bioingegneria - DEIB, Politecnico di Milano University, Milan, Italy
| | - Claude S Farah
- Dept of Respiratory Medicine, Concord Repatriation General Hospital, Sydney, Australia
| | - Ramon Farré
- Unitat de Biofísica i Bioenginyeria, Facultat de Medicina, Universitat de Barcelona-IDIBAPS, Barcelona, Spain.,CIBER de Enfermedades Respiratorias, Madrid, Spain
| | - Graham L Hall
- Children's Lung Health, Telethon Kids Institute, School of Allied Health, Curtin University, Perth, Australia
| | - Iulia Ioan
- Dept of Paediatric Lung Function Testing, Children's Hospital, Vandoeuvre-lès-Nancy, France.,EA 3450 DevAH - Laboratory of Physiology, Faculty of Medicine, University of Lorraine, Vandoeuvre-lès-Nancy, France
| | - Charles G Irvin
- Dept of Medicine, Pulmonary and Critical Care Medicine, University of Vermont, Larner College of Medicine, Burlington, VT, USA
| | - David W Kaczka
- Depts of Anaesthesia, Biomedical Engineering and Radiology, University of Iowa, Iowa City, IA, USA
| | - Gregory G King
- Dept of Respiratory Medicine and Airway Physiology and Imaging Group, Royal North Shore Hospital, St Leonards, Australia.,Woolcock Institute of Medical Research, The University of Sydney, Sydney, Australia
| | - Hajime Kurosawa
- Dept of Occupational Health, Tohoku University School of Medicine, Sendai, Japan
| | - Enrico Lombardi
- Paediatric Pulmonary Unit, Meyer Paediatric University Hospital, Florence, Italy
| | - Geoffrey N Maksym
- School of Biomedical Engineering, Dalhousie University, Halifax, NS, Canada
| | - François Marchal
- Dept of Paediatric Lung Function Testing, Children's Hospital, Vandoeuvre-lès-Nancy, France.,EA 3450 DevAH - Laboratory of Physiology, Faculty of Medicine, University of Lorraine, Vandoeuvre-lès-Nancy, France
| | - Ellie Oostveen
- Dept of Respiratory Medicine, Antwerp University Hospital and University of Antwerp, Belgium
| | - Beno W Oppenheimer
- Division of Pulmonary, Critical Care, and Sleep Medicine, NYU School of Medicine and André Cournand Pulmonary Physiology Laboratory, Belleuve Hospital, New York, NY, USA
| | - Paul D Robinson
- Woolcock Institute of Medical Research, Children's Hospital at Westmead, Sydney, Australia
| | - Maarten van den Berge
- Dept of Pulmonary Diseases, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Cindy Thamrin
- Woolcock Institute of Medical Research, The University of Sydney, Sydney, Australia
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15
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Jetmalani K, Brown NJ, Boustany C, Toelle BG, Marks GB, Abramson MJ, Johns DP, James AL, Hunter M, Musk AW, Berend N, Farah CS, Chapman DG, Thamrin C, King GG. Normal limits for oscillometric bronchodilator responses and relationships with clinical factors. ERJ Open Res 2021; 7:00439-2021. [PMID: 34761000 PMCID: PMC8573235 DOI: 10.1183/23120541.00439-2021] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 07/06/2021] [Indexed: 11/25/2022] Open
Abstract
Introduction We aimed to determine normal thresholds for positive bronchodilator responses for oscillometry in an Australian general population sample aged ≥40 years, to guide clinical interpretation. We also examined relationships between bronchodilator responses and respiratory symptoms, asthma diagnosis, smoking and baseline lung function. Methods Subjects recruited from Sydney, Melbourne and Busselton, Australia, underwent measurements of spirometry, resistance (Rrs6) and reactance (Xrs6) at 6 Hz, before and after inhalation of salbutamol 200 μg. Respiratory symptoms and/or medication use, asthma diagnosis, and smoking were recorded. Threshold bronchodilator responses were defined as the fifth percentile of decrease in Rrs6 and 95th percentile increase in Xrs6 in a healthy subgroup. Results Of 1318 participants, 1145 (570 female) were analysed. The lower threshold for ΔRrs6 was −1.38 cmH2O·s·L−1 (−30.0% or −1.42 Z-scores) and upper threshold for ΔXrs6 was 0.57 cmH2O·s·L−1 (1.36 Z-scores). Respiratory symptoms and/or medication use, asthma diagnosis, and smoking all predicted bronchodilator response, as did baseline oscillometry and spirometry. When categorised into clinically relevant groups according to those predictors, ΔXrs6 was more sensitive than spirometry in smokers without current asthma or chronic obstructive pulmonary disease (COPD), ∼20% having a positive response. Using absolute or Z-score change provided similar prevalences of responsiveness, except in COPD, in which responsiveness measured by absolute change was twice that for Z-score. Discussion This study describes normative thresholds for bronchodilator responses in oscillometry parameters, including intra-breath parameters, as determined by absolute, relative and Z-score changes. Positive bronchodilator response by oscillometry correlated with clinical factors and baseline function, which may inform the clinical interpretation of oscillometry. Normative values for bronchodilator responses measured by oscillometry were derived. Responsiveness related to clinical factors and baseline function. Reactance was more sensitive in detecting bronchodilator response than spirometry mild airways disease.https://bit.ly/3wtWVeV
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Affiliation(s)
- Kanika Jetmalani
- The Woolcock Institute of Medical Research, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Nathan J Brown
- The Woolcock Institute of Medical Research, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.,Royal Brisbane and Women's Hospital, Emergency and Trauma Centre, Herston, QLD, Australia
| | - Chantale Boustany
- The Woolcock Institute of Medical Research, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.,School of Nursing, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Brett G Toelle
- The Woolcock Institute of Medical Research, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.,Sydney Local Health District, Sydney, NSW, Australia
| | - Guy B Marks
- The Woolcock Institute of Medical Research, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.,South Western Sydney Clinical School, University of New South Wales, Sydney, NSW, Australia.,Ingham Institute of Applied Medical Research, Sydney, NSW, Australia
| | - Michael J Abramson
- School of Population Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - David P Johns
- College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
| | - Alan L James
- Busselton Population Medical Research Institute, Busselton, WA, Australia.,School of Medicine and Pharmacology, University of Western Australia, Perth, WA, Australia.,Dept of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Perth, WA, Australia
| | - Michael Hunter
- Busselton Population Medical Research Institute, Busselton, WA, Australia.,School of Population and Global Health, University of Western Australia, Perth, WA, Australia
| | - Arthur W Musk
- Busselton Population Medical Research Institute, Busselton, WA, Australia.,School of Medicine and Pharmacology, University of Western Australia, Perth, WA, Australia
| | - Norbert Berend
- The Woolcock Institute of Medical Research, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Claude S Farah
- The Woolcock Institute of Medical Research, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.,Dept of Thoracic Medicine, Concord Repatriation General Hospital, Sydney, NSW, Australia
| | - David G Chapman
- The Woolcock Institute of Medical Research, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.,Dept of Respiratory Medicine, Royal North Shore Hospital, Sydney, NSW, Australia
| | - Cindy Thamrin
- The Woolcock Institute of Medical Research, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Gregory G King
- The Woolcock Institute of Medical Research, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.,Sydney Local Health District, Sydney, NSW, Australia
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Durack T, Chapman DG, Rutting S, Thamrin C, King GG, Tonga KO. Dynamic compliance and reactance in older non-smokers with asthma and fixed airflow obstruction. Eur Respir J 2021; 58:13993003.04400-2020. [PMID: 33863745 DOI: 10.1183/13993003.04400-2020] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 04/05/2021] [Indexed: 11/05/2022]
Affiliation(s)
- Timothy Durack
- The Department of Respiratory Medicine, Royal North Shore Hospital, St Leonards, Australia.,Airway Physiology and Imaging Group and The Woolcock Emphysema Centre, The Woolcock Institute of Medical Research, Glebe, Australia.,Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - David G Chapman
- The Department of Respiratory Medicine, Royal North Shore Hospital, St Leonards, Australia.,Airway Physiology and Imaging Group and The Woolcock Emphysema Centre, The Woolcock Institute of Medical Research, Glebe, Australia.,Discipline of Medical Sciences, University of Technology Sydney, Broadway, Australia
| | - Sandra Rutting
- The Department of Respiratory Medicine, Royal North Shore Hospital, St Leonards, Australia.,Airway Physiology and Imaging Group and The Woolcock Emphysema Centre, The Woolcock Institute of Medical Research, Glebe, Australia.,NHMRC Centre of Excellence in Severe Asthma, New Lambton Heights, Australia
| | - Cindy Thamrin
- Airway Physiology and Imaging Group and The Woolcock Emphysema Centre, The Woolcock Institute of Medical Research, Glebe, Australia.,Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Gregory G King
- The Department of Respiratory Medicine, Royal North Shore Hospital, St Leonards, Australia.,Airway Physiology and Imaging Group and The Woolcock Emphysema Centre, The Woolcock Institute of Medical Research, Glebe, Australia.,Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.,NHMRC Centre of Excellence in Severe Asthma, New Lambton Heights, Australia
| | - Katrina O Tonga
- The Department of Respiratory Medicine, Royal North Shore Hospital, St Leonards, Australia.,Airway Physiology and Imaging Group and The Woolcock Emphysema Centre, The Woolcock Institute of Medical Research, Glebe, Australia.,Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.,The Department of Thoracic and Lung Transplant Medicine, St Vincent's Hospital, Darlinghurst, Australia.,Faculty of Medicine, St Vincent's Clinical School, The University of New South Wales, Sydney, Australia
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17
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Lung heterogeneity as a predictor for disease severity and response to therapy. CURRENT OPINION IN PHYSIOLOGY 2021. [DOI: 10.1016/j.cophys.2021.05.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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18
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Tiller NB, Cao M, Lin F, Yuan W, Wang CY, Abbasi A, Calmelat R, Soriano A, Rossiter HB, Casaburi R, Stringer WW, Porszasz J. Dynamic airway function during exercise in COPD assessed via impulse oscillometry before and after inhaled bronchodilators. J Appl Physiol (1985) 2021; 131:326-338. [PMID: 34013748 PMCID: PMC8325613 DOI: 10.1152/japplphysiol.00148.2021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 05/14/2021] [Accepted: 05/16/2021] [Indexed: 01/21/2023] Open
Abstract
Assessing airway function during exercise provides useful information regarding mechanical properties of the airways and the extent of ventilatory limitation in COPD. The primary aim of this study was to use impulse oscillometry (IOS) to assess dynamic changes in airway impedance across a range of exercise intensities in patients with GOLD 1-4, before and after albuterol administration. A secondary aim was to assess the reproducibility of IOS measures during exercise. Fifteen patients with COPD (8 males/7 females; age = 66 ± 8 yr; prebronchodilator FEV1 = 54.3 ± 23.6%Pred) performed incremental cycle ergometry before and 90 min after inhaled albuterol. Pulmonary ventilation and gas exchange were measured continuously, and IOS-derived indices of airway impedance were measured every 2 min immediately preceding inspiratory capacity maneuvers. Test-retest reproducibility of exercise IOS was assessed as mean difference between replicate tests in five healthy subjects (3 males/2 females). At rest and during incremental exercise, albuterol significantly increased airway reactance (X5) and decreased airway resistance (R5, R5-R20), impedance (Z5), and end-expiratory lung volume (60% ± 12% vs. 58% ± 12% TLC, main effect P = 0.003). At peak exercise, there were moderate-to-strong associations between IOS variables and IC, and between IOS variables and concavity in the expiratory limb of the spontaneous flow-volume curve. Exercise IOS exhibited moderate reproducibility in healthy subjects which was strongest with R5 (mean diff. = -0.01 ± 0.05 kPa/L/s; ICC = 0.68), R5-R20 (mean diff. = -0.004 ± 0.028 kPa/L/s; ICC = 0.65), and Z5 (mean diff. = -0.006 ± 0.021 kPa/L/s; ICC = 0.69). In patients with COPD, exercise evoked increases in airway resistance and decreases in reactance that were ameliorated by inhaled bronchodilators. The technique of exercise IOS may aid in the clinical assessment of dynamic airway function during exercise.NEW & NOTEWORTHY This study provides a novel, mechanistic insight into dynamic airway function during exercise in COPD, before and after inhaled bronchodilators. The use of impulse oscillometry (IOS) to evaluate airway function is unique among exercise studies. We show strong correlations among IOS variables, dynamic hyperinflation, and shape-changes in the spontaneous expiratory flow-volume curve. This approach may aid in the clinical assessment of airway function during exercise.
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Affiliation(s)
- Nicholas B Tiller
- Division of Respiratory and Critical Care Physiology and Medicine, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California
| | - Min Cao
- Division of Respiratory and Critical Care Physiology and Medicine, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California
- Department of Respiratory and Critical Care Medicine, Beijing Chest Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Fang Lin
- Division of Respiratory and Critical Care Physiology and Medicine, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California
- Department of Respiratory, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Wei Yuan
- Division of Respiratory and Critical Care Physiology and Medicine, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California
- Department of Respiratory, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Chu-Yi Wang
- Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, California
| | - Asghar Abbasi
- Division of Respiratory and Critical Care Physiology and Medicine, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California
| | - Robert Calmelat
- Division of Respiratory and Critical Care Physiology and Medicine, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California
| | - April Soriano
- Division of Respiratory and Critical Care Physiology and Medicine, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California
| | - Harry B Rossiter
- Division of Respiratory and Critical Care Physiology and Medicine, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California
| | - Richard Casaburi
- Division of Respiratory and Critical Care Physiology and Medicine, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California
| | - William W Stringer
- Division of Respiratory and Critical Care Physiology and Medicine, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California
| | - Janos Porszasz
- Division of Respiratory and Critical Care Physiology and Medicine, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California
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19
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Holt NR, Gao CX, Borg BM, Brown D, Broder JC, Ikin J, Makar A, McCrabb T, Nilsen K, Thompson BR, Abramson MJ. Long-term impact of coal mine fire smoke on lung mechanics in exposed adults. Respirology 2021; 26:861-868. [PMID: 34181807 DOI: 10.1111/resp.14102] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 05/24/2021] [Accepted: 06/02/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND AND OBJECTIVE In 2014, a 6-week-long fire at the Hazelwood coal mine exposed residents in the adjacent town of Morwell to high concentrations of fine particulate matter with an aerodynamic diameter < 2.5 μm (PM2.5 ). The long-term health consequences are being evaluated as part of the Hazelwood Health Study. METHODS Approximately 3.5-4 years after the mine fire, adults from Morwell (n = 346) and the comparison town Sale (n = 173) participated in the longitudinal Respiratory Stream of the Study. Individual PM2.5 exposure was retrospectively modelled. Lung mechanics were assessed using the forced oscillation technique (FOT), utilizing pressure waves to measure respiratory system resistance (Rrs) and reactance (Xrs). Multivariate linear regression was used to evaluate associations between PM2.5 and transformed Rrs at 5 Hz, area under the reactance curve (AX5) and Xrs at 5 Hz controlling for key confounders. RESULTS There were clear dose-response relationships between increasing mine fire PM2.5 and worsening lung mechanics, including a reduction in post-bronchodilator (BD) Xrs5 and an increase in AX5. A 10 μg/m3 increase in mine fire-related PM2.5 was associated with a 0.015 (95% CI: 0.004, 0.027) reduction in exponential (Xrs5) post-BD, which was comparable to 4.7 years of ageing. Similarly, the effect of exposure was associated with a 0.072 (0.005, 0.138) increase in natural log (lnAX5) post-BD, equivalent to 3.9 years of ageing. CONCLUSION This is the first study using FOT in adults evaluating long-term respiratory outcomes after medium-term ambient PM2.5 exposure to coal mine fire smoke. These results should inform public health policies and planning for future events.
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Affiliation(s)
- Nicolette R Holt
- School of Public Health & Preventive Medicine, Monash University, Melbourne, Victoria, Australia.,Department of Anaesthetics, Perioperative Medicine & Pain Medicine, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Caroline X Gao
- School of Public Health & Preventive Medicine, Monash University, Melbourne, Victoria, Australia.,Centre for Youth Mental Health (Orygen), University of Melbourne, Melbourne, Victoria, Australia
| | - Brigitte M Borg
- School of Public Health & Preventive Medicine, Monash University, Melbourne, Victoria, Australia.,Respiratory Medicine, The Alfred Hospital, Melbourne, Victoria, Australia
| | - David Brown
- School of Public Health & Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Jonathan C Broder
- School of Public Health & Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Jillian Ikin
- School of Public Health & Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Annie Makar
- Respiratory Medicine, The Alfred Hospital, Melbourne, Victoria, Australia
| | - Thomas McCrabb
- Respiratory Medicine, The Alfred Hospital, Melbourne, Victoria, Australia
| | - Kris Nilsen
- Respiratory Medicine, The Alfred Hospital, Melbourne, Victoria, Australia
| | - Bruce R Thompson
- School of Health Sciences, Swinburne University of Technology, Hawthorn, Victoria, Australia
| | - Michael J Abramson
- School of Public Health & Preventive Medicine, Monash University, Melbourne, Victoria, Australia
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20
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Yayan J, Bald M, Franke KJ. No Independent Influence of Statins on the Chronic Obstructive Pulmonary Disease Exacerbation Rate: A Cohort Observation Study Over 10 Years. Int J Gen Med 2021; 14:2883-2892. [PMID: 34234518 PMCID: PMC8254092 DOI: 10.2147/ijgm.s309647] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Accepted: 06/10/2021] [Indexed: 12/20/2022] Open
Abstract
Purpose Some previously published primarily retrospective studies have shown that statins could reduce the rate and severity of exacerbations, the length of hospital stays, and mortality in patients with chronic obstructive pulmonary disease (COPD), but retrospective data needs to be reviewed regarding this connection since statins are cholesterol-lowering drugs. Therefore, the aim of this study was to investigate the independent influence of statins on the exacerbation rate in COPD patients. Methods An observational retrospective study was conducted to assess the independent influence of statins on the COPD exacerbation rate at the Department of Internal Medicine, Pulmonary Division, Internal Intensive Care Medicine, Infectiology, and Sleep Medicine, Märkische Clinics Health Holding Ltd, Clinic Lüdenscheid, Witten/Herdecke University from January 1, 2010 to December 31, 2020. This study enrolled patients with COPD in 2010 and documented their exacerbation rate over a further 10 years. The number of exacerbations in COPD patients was compared between statin users and non-users. Results Of the total of 295 [176 male (59.7%)] COPD patients, 105 (35.6%, CI 30.3–41.2%) patients with COPD were treated with statins, and 190 (64.4%, CI 58.8–69.7%) were treated without statins. The mean exacerbation rate in the COPD patients who received statin did not differ from that in the COPD patients who did not receive statin (p = 0.175). Also, the mortality rates did not differ between the statin-treated and non-statin-treated COPD patients (p = 0.271). Conclusion Statins have no effect on the exacerbation rate or mortality in COPD patients.
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Affiliation(s)
- Josef Yayan
- Witten/Herdecke University, Witten, Germany.,Department of Internal Medicine, Pulmonary Division, Internal Intensive Care Medicine, Infectiology, and Sleep Medicine, Märkische Clinics Health Holding Ltd, Clinic Lüdenscheid, Lüdenscheid, Germany
| | - Markus Bald
- Department of Internal Medicine, Pulmonary Division, Internal Intensive Care Medicine, Infectiology, and Sleep Medicine, Märkische Clinics Health Holding Ltd, Clinic Lüdenscheid, Lüdenscheid, Germany
| | - Karl-Josef Franke
- Witten/Herdecke University, Witten, Germany.,Department of Internal Medicine, Pulmonary Division, Internal Intensive Care Medicine, Infectiology, and Sleep Medicine, Märkische Clinics Health Holding Ltd, Clinic Lüdenscheid, Lüdenscheid, Germany
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21
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Wang B, Chan YL, Li G, Ho KF, Anwer AG, Smith BJ, Guo H, Jalaludin B, Herbert C, Thomas PS, Liao J, Chapman DG, Foster PS, Saad S, Chen H, Oliver BG. Maternal Particulate Matter Exposure Impairs Lung Health and Is Associated with Mitochondrial Damage. Antioxidants (Basel) 2021; 10:antiox10071029. [PMID: 34202305 PMCID: PMC8300816 DOI: 10.3390/antiox10071029] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 06/24/2021] [Accepted: 06/24/2021] [Indexed: 11/16/2022] Open
Abstract
Relatively little is known about the transgenerational effects of chronic maternal exposure to low-level traffic-related air pollution (TRAP) on the offspring lung health, nor are the effects of removing such exposure before pregnancy. Female BALB/c mice were exposed to PM2.5 (PM2.5, 5 µg/day) for 6 weeks before mating and during gestation and lactation; in a subgroup, PM was removed when mating started to model mothers moving to cleaner areas during pregnancy to protect their unborn child (Pre-exposure). Lung pathology was characterised in both dams and offspring. A subcohort of female offspring was also exposed to ovalbumin to model allergic airways disease. PM2.5 and Pre-exposure dams exhibited airways hyper-responsiveness (AHR) with mucus hypersecretion, increased mitochondrial reactive oxygen species (ROS) and mitochondrial dysfunction in the lungs. Female offspring from PM2.5 and Pre-exposure dams displayed AHR with increased lung inflammation and mitochondrial ROS production, while males only displayed increased lung inflammation. After the ovalbumin challenge, AHR was increased in female offspring from PM2.5 dams compared with those from control dams. Using an in vitro model, the mitochondria-targeted antioxidant MitoQ reversed mitochondrial dysfunction by PM stimulation, suggesting that the lung pathology in offspring is driven by dysfunctional mitochondria. In conclusion, chronic exposure to low doses of PM2.5 exerted transgenerational impairment on lung health.
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Affiliation(s)
- Baoming Wang
- Faculty of Science, School of Life Sciences, University of Technology Sydney, Ultimo, NSW 2007, Australia; (B.W.); (Y.-L.C.); (G.L.); (D.G.C.); (H.C.)
- Respiratory Cellular and Molecular Biology, Woolcock Institute of Medical Research, The University of Sydney, Sydney, NSW 2037, Australia
| | - Yik-Lung Chan
- Faculty of Science, School of Life Sciences, University of Technology Sydney, Ultimo, NSW 2007, Australia; (B.W.); (Y.-L.C.); (G.L.); (D.G.C.); (H.C.)
- Respiratory Cellular and Molecular Biology, Woolcock Institute of Medical Research, The University of Sydney, Sydney, NSW 2037, Australia
| | - Gerard Li
- Faculty of Science, School of Life Sciences, University of Technology Sydney, Ultimo, NSW 2007, Australia; (B.W.); (Y.-L.C.); (G.L.); (D.G.C.); (H.C.)
| | - Kin Fai Ho
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China;
| | - Ayad G. Anwer
- ARC Centre of Excellence for Nanoscale Biophotonics, Faculty of Engineering, Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, NSW 2052, Australia;
| | - Bradford J. Smith
- Department of Bioengineering, Department of Paediatric Pulmonary and Sleep Medicine, School of Medicine, University of Colorado, Boulder, CO 80309, USA;
| | - Hai Guo
- Air Quality Studies, Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong, China;
| | - Bin Jalaludin
- Ingham Institute for Applied Medical Research, University of New South Wales, Sydney, NSW 2052, Australia;
- Centre for Air Pollution, Energy and Health Research (CAR), Woolcock Institute of Medical Research, The University of Sydney, Sydney, NSW 2037, Australia
| | - Cristan Herbert
- Department of Pathology, Faculty of Medicine, School of Medical Sciences, Prince of Wales’ Clinical School, University of New South Wales, Sydney, NSW 2052, Australia; (C.H.); (P.S.T.)
| | - Paul S. Thomas
- Department of Pathology, Faculty of Medicine, School of Medical Sciences, Prince of Wales’ Clinical School, University of New South Wales, Sydney, NSW 2052, Australia; (C.H.); (P.S.T.)
| | - Jiayan Liao
- Institute for Biomedical Materials and Devices, Faculty of Science, University of Technology Sydney, Ultimo, NSW 2007, Australia;
| | - David G. Chapman
- Faculty of Science, School of Life Sciences, University of Technology Sydney, Ultimo, NSW 2007, Australia; (B.W.); (Y.-L.C.); (G.L.); (D.G.C.); (H.C.)
- Respiratory Cellular and Molecular Biology, Woolcock Institute of Medical Research, The University of Sydney, Sydney, NSW 2037, Australia
| | - Paul S. Foster
- Priority Research Centre for Healthy Lungs, University of Newcastle, Callaghan, NSW 2308, Australia;
| | - Sonia Saad
- Renal Group, Kolling Institute of Medical Research, The University of Sydney, St Leonards, Sydney, NSW 2064, Australia;
| | - Hui Chen
- Faculty of Science, School of Life Sciences, University of Technology Sydney, Ultimo, NSW 2007, Australia; (B.W.); (Y.-L.C.); (G.L.); (D.G.C.); (H.C.)
| | - Brian G. Oliver
- Faculty of Science, School of Life Sciences, University of Technology Sydney, Ultimo, NSW 2007, Australia; (B.W.); (Y.-L.C.); (G.L.); (D.G.C.); (H.C.)
- Respiratory Cellular and Molecular Biology, Woolcock Institute of Medical Research, The University of Sydney, Sydney, NSW 2037, Australia
- Correspondence:
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22
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Cottee AM, Seccombe LM, Thamrin C, Badal T, King GG, Peters MJ, Farah CS. Longitudinal monitoring of asthma in the clinic using respiratory oscillometry. Respirology 2021; 26:566-573. [PMID: 33797141 DOI: 10.1111/resp.14053] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Accepted: 02/23/2021] [Indexed: 01/18/2023]
Abstract
BACKGROUND AND OBJECTIVE Asthma guidelines emphasize the importance of assessing lung function and symptoms. The forced oscillation technique (FOT) and its longitudinal relationship with spirometry and symptoms are unresolved. We examined concordance between longitudinal spirometry, FOT and symptom control, and determined FOT limits of agreement in stable asthma. METHODS Over a 3-year period, adults with asthma attending a tertiary clinic completed the asthma control test (ACT), fraction of exhaled nitric oxide (FeNO), FOT and spirometry. Analysis included between-visit concordance for significant change using Cohen's kappa (κ) and stable asthma FOT limits of agreement. RESULTS Data (n = 186) from 855 visits (mean ± SD 4.6 ± 3.0 visits), 114 ± 95 days apart, were analysed. Between-visit concordance was moderate between reactance at 5 Hz (X5) and forced expiratory volume in 1 s (FEV1 ) (κ = 0.34, p = 0.001), and weak between ACT and FEV1 (κ = 0.18, p = 0.001). Change in FeNO did not correlate with lung function or ACT (κ < 0.05, p > 0.1). Stable asthma between visits (n = 75; 132 visits) had reduced lung function variability, but comparable concordance to the entire cohort. Limits of agreement for FEV1 (0.42 L), resistance at 5 Hz (2.06 cm H2 O s L-1 ) and X5 (2.75 cm H2 O s L-1 ) in stable asthma were at least twofold greater than published values in health. CONCLUSION In adults with asthma, there is moderate concordance between longitudinal change in FOT and spirometry. Both tests relate poorly to changes in asthma control, highlighting the need for multi-modal assessment in asthma rather than symptoms alone. The derivation of longitudinal FOT limits of agreement will assist in its clinical interpretation.
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Affiliation(s)
- Alice M Cottee
- Department of Respiratory Medicine, Concord Repatriation General Hospital, Concord, New South Wales, Australia.,Airway Physiology and Imaging Group and Woolcock Emphysema Centre, Woolcock Institute of Medical Research, Glebe, New South Wales, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Leigh M Seccombe
- Department of Respiratory Medicine, Concord Repatriation General Hospital, Concord, New South Wales, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Cindy Thamrin
- Airway Physiology and Imaging Group and Woolcock Emphysema Centre, Woolcock Institute of Medical Research, Glebe, New South Wales, Australia
| | - Tanya Badal
- Department of Respiratory Medicine, Concord Repatriation General Hospital, Concord, New South Wales, Australia.,Airway Physiology and Imaging Group and Woolcock Emphysema Centre, Woolcock Institute of Medical Research, Glebe, New South Wales, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Gregory G King
- Airway Physiology and Imaging Group and Woolcock Emphysema Centre, Woolcock Institute of Medical Research, Glebe, New South Wales, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.,Department of Respiratory Medicine, Royal North Shore Hospital, St Leonards, New South Wales, Australia
| | - Matthew J Peters
- Department of Respiratory Medicine, Concord Repatriation General Hospital, Concord, New South Wales, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.,Faculty of Medicine and Health Sciences, Macquarie University, North Ryde, New South Wales, Australia
| | - Claude S Farah
- Department of Respiratory Medicine, Concord Repatriation General Hospital, Concord, New South Wales, Australia.,Airway Physiology and Imaging Group and Woolcock Emphysema Centre, Woolcock Institute of Medical Research, Glebe, New South Wales, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.,Faculty of Medicine and Health Sciences, Macquarie University, North Ryde, New South Wales, Australia
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23
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Nilsen K, Thompson BR, Zajakovski N, Kean M, Harris B, Cowin G, Robinson P, Prisk GK, Thien F. Airway closure is the predominant physiological mechanism of low ventilation seen on hyperpolarized helium-3 MRI lung scans. J Appl Physiol (1985) 2020; 130:781-791. [PMID: 33332988 DOI: 10.1152/japplphysiol.00163.2020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Hyperpolarized helium-3 MRI (3He MRI) provides detailed visualization of low- (hypo- and non-) ventilated lungs. Physiological measures of gas mixing may be assessed by multiple breath nitrogen washout (MBNW) and of airway closure by a forced oscillation technique (FOT). We hypothesize that in patients with asthma, areas of low-ventilated lung on 3He MRI are the result of airway closure. Ten control subjects, ten asthma subjects with normal spirometry (non-obstructed), and ten asthmatic subjects with reduced baseline lung function (obstructed) attended two testing sessions. On visit one, baseline plethysmography was performed followed by spirometry, MBNW, and FOT assessment pre and post methacholine challenge. On visit two, 3He MRI scans were conducted pre and post methacholine challenge. Post methacholine the volume of low-ventilated lung increased from 8.3% to 13.8% in the non-obstructed group (P = 0.012) and from 13.0% to 23.1% in the obstructed group (P = 0.001). For all subjects, the volume of low ventilation from 3He MRI correlated with a marker of airway closure in obstructive subjects, Xrs (6 Hz) and the marker of ventilation heterogeneity Scond with r2 values of 0.61 (P < 0.001) and 0.56 (P < 0.001), respectively. The change in Xrs (6 Hz) correlated well (r2 = 0.45, p < 0.001), whereas the change in Scond was largely independent of the change in low ventilation volume (r2 = 0.13, P < 0.01). The only significant predictor of low ventilation volume from the multi-variate analysis was Xrs (6 Hz). This is consistent with the concept that regions of poor or absent ventilation seen on 3He MRI are primarily the result of airway closure.NEW & NOTEWORTHY This study introduces a novel technique of generating high-resolution 3D ventilation maps from hyperpolarized helium-3 MRI. It is the first study to demonstrate that regions of poor or absent ventilation seen on 3He MRI are primarily the result of airway closure.
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Affiliation(s)
- Kris Nilsen
- The Alfred Hospital, Melbourne, Australia.,Swinburne University of Technology, Melbourne, Australia
| | - Bruce R Thompson
- Swinburne University of Technology, Melbourne, Australia.,Monash University, Melbourne, Australia
| | | | - Michael Kean
- The Royal Children's Hospital, Melbourne, Australia
| | - Benjamin Harris
- University of Sydney, Sydney, Australia.,Respiratory Medicine, Royal North Shore Hospital, Sydney, Australia
| | - Gary Cowin
- National Imaging Facility, Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia
| | - Phil Robinson
- The Royal Children's Hospital, Melbourne, Australia.,University of Melbourne, Melbourne, Australia.,Murdoch Children's Research Institute, Melbourne, Australia
| | - G Kim Prisk
- University of California, San Diego, California
| | - Francis Thien
- Monash University, Melbourne, Australia.,Box Hill Hospital, Eastern Health, Melbourne, Australia
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24
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Milne S, Sin DD. Biomarkers in Chronic Obstructive Pulmonary Disease: The Gateway to Precision Medicine. Clin Chest Med 2020; 41:383-394. [PMID: 32800193 DOI: 10.1016/j.ccm.2020.06.001] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Chronic obstructive pulmonary disease (COPD) is a highly heterogeneous disease with limited adequate treatments. Biomarkers-which may relate to disease susceptibility, diagnosis, prognosis, or treatment response-are ideally suited to dissecting such a complex disease and form a critical component of the precision medicine paradigm. Not all potential candidates, however, make good biomarkers. To date, only plasma fibrinogen has been approved by regulatory bodies as a biomarker of exacerbation risk for clinical trial enrichment. This review outlines some of the challenges of biomarker research in COPD and highlights novel and promising biomarker candidates.
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Affiliation(s)
- Stephen Milne
- Centre for Heart Lung Innovation and Division of Respiratory Medicine, University of British Columbia, Room 166, St Paul's Hospital, 1081 Burrard St, Vancouver, British Columbia V6Z 1Y6, Canada; Faculty of Medicine and Health, University of Sydney, Camperdown, New South Wales 2006, Australia.
| | - Don D Sin
- Centre for Heart Lung Innovation and Division of Respiratory Medicine, University of British Columbia, Room 166, St Paul's Hospital, 1081 Burrard St, Vancouver, British Columbia V6Z 1Y6, Canada
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25
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Zimmermann SC, Huvanandana J, Nguyen CD, Bertolin A, Watts JC, Gobbi A, Farah CS, Peters MJ, Dellacà RL, King GG, Thamrin C. Day-to-day variability of forced oscillatory mechanics for early detection of acute exacerbations in COPD. Eur Respir J 2020; 56:13993003.01739-2019. [PMID: 32430416 DOI: 10.1183/13993003.01739-2019] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Accepted: 04/17/2020] [Indexed: 11/05/2022]
Abstract
BACKGROUND Telemonitoring trials for early detection of acute exacerbations of chronic obstructive pulmonary disease (AECOPD) have provided mixed results. Day-to-day variations in lung function measured by the forced oscillation technique (FOT) may yield greater insight. We evaluated the clinical utility of home telemonitoring of variability in FOT measures in terms of 1) the relationship with symptoms and quality of life (QoL); and 2) the timing of variability of FOT measures and symptom changes prior to AECOPD. METHODS Daily FOT parameters at 5 Hz (resistance (R) and reactance (X); Resmon Pro Diary, Restech Srl, Milan, Italy), daily symptoms (COPD Assessment Test (CAT)) and 4-weekly QoL data (St George's Respiratory Questionnaire (SGRQ)) were recorded over 8-9 months from chronic obstructive pulmonary disease (COPD) patients. Variability of R and X was calculated as the standard deviation (sd) over 7-day running windows and we also examined the effect of varying window size. The relationship of FOT versus CAT and SGRQ was assessed using linear mixed modelling, daily changes in FOT variability and CAT prior to AECOPD using one-way repeated measures ANOVA. RESULTS Fifteen participants with a mean±sd age of 69±10 years and a % predicted forced expiratory volume in 1 s (FEV1) of 39±10% had a median (interquartile range (IQR)) adherence of 95.4% (79.0-98.8%). Variability of the inspiratory component of X (indicated by the standard deviation of inspiratory reactance (SDXinsp)) related to CAT and weakly to SGRQ (fixed effect estimates 1.57, 95% CI 0.65-2.49 (p=0.001) and 4.41, 95% CI -0.06 to 8.89 (p=0.05), respectively). SDXinsp changed significantly on the same day as CAT (1 day before AECOPD, both p=0.02) and earlier when using shorter running windows (3 days before AECOPD, p=0.01; accuracy=0.72 for 5-day windows). CONCLUSIONS SDXinsp from FOT telemonitoring reflects COPD symptoms and may be a sensitive biomarker for early detection of AECOPD.
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Affiliation(s)
- Sabine C Zimmermann
- Airway Physiology and Imaging Group, Woolcock Institute of Medical Research, The University of Sydney, Glebe, Australia.,Dept of Respiratory Medicine, Royal North Shore Hospital, St Leonards, Australia.,Sydney Medical School Northern, The University of Sydney, St Leonards, Australia.,Dept of Respiratory Medicine, Concord Repatriation General Hospital, Concord, Australia.,Woolcock Emphysema Centre, Woolcock Institute of Medical Research, The University of Sydney, Glebe, Australia
| | - Jacqueline Huvanandana
- Airway Physiology and Imaging Group, Woolcock Institute of Medical Research, The University of Sydney, Glebe, Australia.,Woolcock Emphysema Centre, Woolcock Institute of Medical Research, The University of Sydney, Glebe, Australia
| | - Chinh D Nguyen
- Airway Physiology and Imaging Group, Woolcock Institute of Medical Research, The University of Sydney, Glebe, Australia.,Woolcock Emphysema Centre, Woolcock Institute of Medical Research, The University of Sydney, Glebe, Australia
| | - Amy Bertolin
- Airway Physiology and Imaging Group, Woolcock Institute of Medical Research, The University of Sydney, Glebe, Australia.,Woolcock Emphysema Centre, Woolcock Institute of Medical Research, The University of Sydney, Glebe, Australia
| | - Joanna C Watts
- Airway Physiology and Imaging Group, Woolcock Institute of Medical Research, The University of Sydney, Glebe, Australia.,Woolcock Emphysema Centre, Woolcock Institute of Medical Research, The University of Sydney, Glebe, Australia
| | - Alessandro Gobbi
- Restech Srl, Milan, Italy.,Dept of Electronics, Informatics and Biomedical Engineering, Politecnico di Milano, Milan, Italy
| | - Claude S Farah
- Airway Physiology and Imaging Group, Woolcock Institute of Medical Research, The University of Sydney, Glebe, Australia.,Dept of Respiratory Medicine, Concord Repatriation General Hospital, Concord, Australia.,Woolcock Emphysema Centre, Woolcock Institute of Medical Research, The University of Sydney, Glebe, Australia
| | - Matthew J Peters
- Dept of Respiratory Medicine, Concord Repatriation General Hospital, Concord, Australia
| | - Raffaele L Dellacà
- Dept of Electronics, Informatics and Biomedical Engineering, Politecnico di Milano, Milan, Italy
| | - Gregory G King
- Airway Physiology and Imaging Group, Woolcock Institute of Medical Research, The University of Sydney, Glebe, Australia.,Dept of Respiratory Medicine, Royal North Shore Hospital, St Leonards, Australia.,Sydney Medical School Northern, The University of Sydney, St Leonards, Australia.,Woolcock Emphysema Centre, Woolcock Institute of Medical Research, The University of Sydney, Glebe, Australia
| | - Cindy Thamrin
- Airway Physiology and Imaging Group, Woolcock Institute of Medical Research, The University of Sydney, Glebe, Australia.,Woolcock Emphysema Centre, Woolcock Institute of Medical Research, The University of Sydney, Glebe, Australia
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26
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Abstract
This article will discuss in detail the pathophysiology of asthma from the point of view of lung mechanics. In particular, we will explain how asthma is more than just airflow limitation resulting from airway narrowing but in fact involves multiple consequences of airway narrowing, including ventilation heterogeneity, airway closure, and airway hyperresponsiveness. In addition, the relationship between the airway and surrounding lung parenchyma is thought to be critically important in asthma, especially as related to the response to deep inspiration. Furthermore, dynamic changes in lung mechanics over time may yield important information about asthma stability, as well as potentially provide a window into future disease control. All of these features of mechanical properties of the lung in asthma will be explained by providing evidence from multiple investigative methods, including not only traditional pulmonary function testing but also more sophisticated techniques such as forced oscillation, multiple breath nitrogen washout, and different imaging modalities. Throughout the article, we will link the lung mechanical features of asthma to clinical manifestations of asthma symptoms, severity, and control. © 2020 American Physiological Society. Compr Physiol 10:975-1007, 2020.
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Affiliation(s)
- David A Kaminsky
- University of Vermont Larner College of Medicine, Burlington, Vermont, USA
| | - David G Chapman
- University of Technology Sydney, Sydney, New South Wales, Australia
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27
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Chapman DG, King GG, Robinson PD, Farah CS, Thamrin C. The need for physiological phenotyping to develop new drugs for airways disease. Pharmacol Res 2020; 159:105029. [PMID: 32565310 DOI: 10.1016/j.phrs.2020.105029] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 06/01/2020] [Accepted: 06/12/2020] [Indexed: 11/25/2022]
Abstract
Asthma and COPD make up the majority of obstructive airways diseases (OADs), which affects ∼11 % of the population. The main drugs used to treat OADs have not changed in the past five decades, with advancements mainly comprising variations on existing treatments. The recent biologics are beneficial to only specific subsets of patients. Part of this may lie in our inability to adequately characterise the tremendous heterogeneity in every aspect of OAD. The field is currently moving towards the concept of personalised medicine, based on a focus on treatable traits that are objective, measurable and modifiable. We propose extending this concept via the use of emerging clinical tools for comprehensive physiological phenotyping. We describe, based on published data, the evidence for the use of functional imaging, gas washout techniques and oscillometry, as well as potential future applications, to more comprehensively assess and predict treatment response in OADs. In this way, we hope to demonstrate how physiological phenotyping tools will improve the way in which drugs are prescribed, but most importantly, will facilitate development of new drugs for OADs.
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Affiliation(s)
- David G Chapman
- Airway Physiology and Imaging Group and Woolcock Emphysema Centre, The Woolcock Institute of Medical Research, The University of Sydney, Glebe NSW 2037, Australia; School of Life Sciences, Faculty of Science, University of Technology Sydney, Ultimo NSW 2007, Australia.
| | - G G King
- Airway Physiology and Imaging Group and Woolcock Emphysema Centre, The Woolcock Institute of Medical Research, The University of Sydney, Glebe NSW 2037, Australia; Department of Respiratory Medicine, Royal North Shore Hospital, St. Leonards, NSW 2065, Australia; NHMRC Centre of Excellence in Severe Asthma, New Lambton Heights NSW 2305, Australia; Faculty of Medicine and Health Sciences, The University of Sydney, NSW 2006, Australia
| | - Paul D Robinson
- Airway Physiology and Imaging Group and Woolcock Emphysema Centre, The Woolcock Institute of Medical Research, The University of Sydney, Glebe NSW 2037, Australia; Department of Respiratory Medicine, The Children's Hospital at Westmead, Westmead, NSW 2145, Australia; Faculty of Medicine and Health Sciences, The University of Sydney, NSW 2006, Australia
| | - Claude S Farah
- Airway Physiology and Imaging Group and Woolcock Emphysema Centre, The Woolcock Institute of Medical Research, The University of Sydney, Glebe NSW 2037, Australia; Faculty of Medicine and Health Sciences, The University of Sydney, NSW 2006, Australia; Department of Thoracic Medicine, Concord Repatriation General Hospital, Concord, NSW 2137, Australia
| | - Cindy Thamrin
- Airway Physiology and Imaging Group and Woolcock Emphysema Centre, The Woolcock Institute of Medical Research, The University of Sydney, Glebe NSW 2037, Australia; Faculty of Medicine and Health Sciences, The University of Sydney, NSW 2006, Australia
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28
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Verbanck S. Quantitative Computed Tomography in Asthma: For Good Measure. Am J Respir Crit Care Med 2020; 201:885-886. [PMID: 31899653 PMCID: PMC7159411 DOI: 10.1164/rccm.201912-2481ed] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- Sylvia Verbanck
- Respiratory Division University Hospital UZ BrusselBrussels, Belgium
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29
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Cottee AM, Seccombe LM, Thamrin C, King GG, Peters MJ, Farah CS. Bronchodilator Response Assessed by the Forced Oscillation Technique Identifies Poor Asthma Control With Greater Sensitivity Than Spirometry. Chest 2020; 157:1435-1441. [PMID: 31982392 DOI: 10.1016/j.chest.2019.12.035] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Revised: 12/06/2019] [Accepted: 12/16/2019] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Persistent bronchodilator response (BDR) following diagnosis of asthma is an underrecognized treatable trait, associated with worse lung function and asthma control. The forced oscillation technique (FOT) measures respiratory system impedance, and BDR cutoffs have been proposed for healthy adults; however, the relevance in asthma is unknown. We compared BDR cutoffs, using FOT and spirometry, in asthma and the relationship with asthma control. METHODS Data from patients with asthma who withheld bronchodilator medication for at least 8 h before a tertiary airway clinic visit were reviewed. All subjects performed FOT and spirometry before and after salbutamol administration, and completed the Asthma Control Test. FOT parameters examined included respiratory system resistance (R5) and reactance (X5) at 5 Hz, and area under the reactance curve (AX). BDR was defined by standard recommendations for spirometry and based on the 95th percentile of BDR in healthy adults for FOT. RESULTS Fifty-two subjects (18 men; mean age, 53 ± 18 years) were included. BDR was identified more frequently by FOT than spirometry (54% vs 27% of subjects). BDR assessed by X5 and AX, but not R5, was associated with spirometric BDR (χ2, P < .01) and correlated with asthma control (X5: rs = -0.36, P < .01; AX: rs = 0.34, P = .01). BDR measured by reactance parameters identified more subjects with poor asthma control than did spirometry (AX, 69% vs spirometry, 41%). CONCLUSIONS BDR assessed by FOT can identify poor asthma control. Reactance parameters were more sensitive in identifying poor asthma control than spirometry, supporting the use of FOT to complement spirometry in the clinical management of asthma.
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Affiliation(s)
- Alice M Cottee
- Department of Respiratory Medicine, Concord Repatriation General Hospital, Concord, NSW, Australia; Woolcock Emphysema Centre and Airway Physiology and Imaging Group, Woolcock Institute of Medical Research, Glebe, NSW, Australia; Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
| | - Leigh M Seccombe
- Department of Respiratory Medicine, Concord Repatriation General Hospital, Concord, NSW, Australia; Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Cindy Thamrin
- Woolcock Emphysema Centre and Airway Physiology and Imaging Group, Woolcock Institute of Medical Research, Glebe, NSW, Australia
| | - Gregory G King
- Woolcock Emphysema Centre and Airway Physiology and Imaging Group, Woolcock Institute of Medical Research, Glebe, NSW, Australia; Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia; Department of Respiratory Medicine, Royal North Shore Hospital, NSW, Australia
| | - Matthew J Peters
- Department of Respiratory Medicine, Concord Repatriation General Hospital, Concord, NSW, Australia; Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia; Faculty of Medicine and Health Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Claude S Farah
- Department of Respiratory Medicine, Concord Repatriation General Hospital, Concord, NSW, Australia; Woolcock Emphysema Centre and Airway Physiology and Imaging Group, Woolcock Institute of Medical Research, Glebe, NSW, Australia; Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia; Faculty of Medicine and Health Sciences, Macquarie University, North Ryde, NSW, Australia
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30
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Zimmermann SC, Thamrin C, Chan AS, Bertolin A, Chapman DG, King GG. Relationships Between Forced Oscillatory Impedance and 6-minute Walk Distance After Pulmonary Rehabilitation in COPD. Int J Chron Obstruct Pulmon Dis 2020; 15:157-166. [PMID: 32021155 PMCID: PMC6982450 DOI: 10.2147/copd.s225543] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 12/19/2019] [Indexed: 12/16/2022] Open
Abstract
Rationale Pulmonary rehabilitation for chronic obstructive pulmonary disease (COPD) reduces dyspnoea and improves exercise capacity and quality of life. The improvement in exercise capacity is variable and unpredictable, however. Respiratory system impedance obtained by forced oscillation technique (FOT) as a measure of ventilatory impairment in COPD may relate to improvement in exercise capacity with pulmonary rehabilitation. We aimed to determine if baseline FOT parameters relate to changes in exercise capacity following pulmonary rehabilitation. Methods At the start of rehabilitation, 15 COPD subjects (mean(SD) 75.2(6.1) years, FEV1 z-score −2.61(0.84)) had measurements by FOT, spirometry, plethysmographic lung volumes and 6-minute walk distance (6MWD). Respiratory system resistance (Rrs) and reactance (Xrs) parameters as the mean over all breaths (Rmean, Xmean), during inspiration only (Rinsp, Xinsp), and expiratory flow limitation (DeltaXrs = Xinsp−Xexp), were calculated. FOT and 6MWD measurements were repeated at completion of rehabilitation and 3 months after completion. Results At baseline, Xrs measures were unrelated to 6MWD. Xinsp improved significantly with rehabilitation (from mean(SD) −2.35(1.02) to −2.04(0.85) cmH2O.s.L−1, p=0.008), while other FOT parameters did not. No FOT parameters related to the change in 6MWD at program completion. Baseline Xmean, DeltaXrs, and FVC z-score correlated with the change in 6MWD between completion and 3 months after completion of rehabilitation (rs=0.62, p=0.03; rs=−0.65, p=0.02; and rs=0.62, p=0.03, respectively); with worse ventilatory impairment predicting loss of 6MWD. There were no relationships between Rrs parameters, FEV1 or FEV1/FVC z-scores and changes in 6MWD. Conclusion Baseline reactance parameters may be helpful in predicting those patients with COPD at most risk of loss of exercise capacity following completion of pulmonary rehabilitation.
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Affiliation(s)
- Sabine C Zimmermann
- The Woolcock Emphysema Centre, Woolcock Institute of Medical Research, The University of Sydney, Glebe, NSW 2037, Australia.,The Northern Clinical School, Faculty of Medicine and Health Sciences, The University of Sydney, Camperdown, NSW 2006, Australia.,Department of Respiratory Medicine, Royal North Shore Hospital, St Leonards, NSW 2065, Australia
| | - Cindy Thamrin
- The Woolcock Emphysema Centre, Woolcock Institute of Medical Research, The University of Sydney, Glebe, NSW 2037, Australia
| | - Andrew Sl Chan
- The Northern Clinical School, Faculty of Medicine and Health Sciences, The University of Sydney, Camperdown, NSW 2006, Australia.,Department of Respiratory Medicine, Royal North Shore Hospital, St Leonards, NSW 2065, Australia
| | - Amy Bertolin
- The Woolcock Emphysema Centre, Woolcock Institute of Medical Research, The University of Sydney, Glebe, NSW 2037, Australia
| | - David G Chapman
- The Woolcock Emphysema Centre, Woolcock Institute of Medical Research, The University of Sydney, Glebe, NSW 2037, Australia.,School of Life Sciences, Faculty of Science, University of Technology Sydney, Ultimo, NSW 2007, Australia
| | - Gregory G King
- The Woolcock Emphysema Centre, Woolcock Institute of Medical Research, The University of Sydney, Glebe, NSW 2037, Australia.,The Northern Clinical School, Faculty of Medicine and Health Sciences, The University of Sydney, Camperdown, NSW 2006, Australia.,Department of Respiratory Medicine, Royal North Shore Hospital, St Leonards, NSW 2065, Australia
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31
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Seccombe LM, Peters MJ, Buddle L, Farah CS. Exercise-Induced Bronchoconstriction Identified Using the Forced Oscillation Technique. Front Physiol 2019; 10:1411. [PMID: 31803065 PMCID: PMC6873789 DOI: 10.3389/fphys.2019.01411] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Accepted: 10/31/2019] [Indexed: 11/13/2022] Open
Abstract
Objective: Lung mechanics using the forced oscillation technique (FOT) is suggested to be equivalent and more sensitive in determining exercise-induced bronchoconstriction (EIB) than spirometry. Dynamic alterations in minute ventilation (VE) may affect this measurement. We investigated changes in FOT parameters post exercise challenge (EC) in people with asthma as compared to spirometry. The rate of recovery and any effect of raised VE following exercise on FOT parameters were also assessed. Method: Airway resistance (R5) and reactance (X5) at 5 Hz and VE were measured prior to forced expiratory volume in 1 s (FEV1) before and up to 20 min after a standard EC in people with asthma and healthy controls. Airway hyperresponsiveness to the hyperosmolar mannitol test was measured in the asthmatic subjects within 1 week of the EC. Baseline and sequential measures were assessed using repeated measures ANOVA and Pearson's correlation. Group demographics and recovery data were compared using an unpaired t test. Results: Subjects with current asthma (n = 19, mean ± SD age 28 ± 6 years) and controls (n = 10, 31 ± 5 years) were studied. Baseline FEV1, R5, X5, and VE were similar between groups (p > 0.09). Airway hyperresponsiveness was present in 12/19 asthmatic subjects. The EC max % change of R5 and X5 correlated with FEV1 (r > 0.90) and were only different to controls in those with asthma that responded by FEV1 criteria (p < 0.01). EC recovery of R5 was similar to FEV1; however, X5 was greater (p = 0.03). Elevated VE post EC did not affect the % change in FOT parameters across all subjects (p > 0.3). R5 and X5 were highly sensitive in determining a positive EC response (80-86%), but X5 was more specific (93 vs. 80%). Conclusion: FOT parameters tracked with forced maneuvers and were not influenced by increased ventilation following an exercise challenge designed to elicit EIB. FOT identified EIB similarly to spirometry in patients with asthma.
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Affiliation(s)
- Leigh M Seccombe
- Thoracic Medicine, Concord Hospital, Sydney, NSW, Australia.,Faculty of Medicine and Health, Sydney University, Camperdown, NSW, Australia
| | - Matthew J Peters
- Thoracic Medicine, Concord Hospital, Sydney, NSW, Australia.,Faculty of Medicine and Health, Sydney University, Camperdown, NSW, Australia
| | - Lachlan Buddle
- Thoracic Medicine, Concord Hospital, Sydney, NSW, Australia
| | - Claude S Farah
- Thoracic Medicine, Concord Hospital, Sydney, NSW, Australia.,Faculty of Medicine and Health, Sydney University, Camperdown, NSW, Australia.,The Woolcock Institute of Medical Research, Sydney, NSW, Australia
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32
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Milne S, Huvanandana J, Nguyen C, Duncan JM, Chapman DG, Tonga KO, Zimmermann SC, Slattery A, King GG, Thamrin C. Time-based pulmonary features from electrical impedance tomography demonstrate ventilation heterogeneity in chronic obstructive pulmonary disease. J Appl Physiol (1985) 2019; 127:1441-1452. [PMID: 31556831 DOI: 10.1152/japplphysiol.00304.2019] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Pulmonary electrical impedance tomography (EIT) is a functional imaging technique that allows real-time monitoring of ventilation distribution. Ventilation heterogeneity (VH) is a characteristic feature of chronic obstructive pulmonary disease (COPD) and has previously been quantified using features derived from tidal variations in the amplitude of the EIT signal. However, VH may be better described by time-based metrics, the measurement of which is made possible by the high temporal resolution of EIT. We aimed 1) to quantify VH using novel time-based EIT metrics and 2) to determine the physiological relevance of these metrics by exploring their relationships with complex lung mechanics measured by the forced oscillation technique (FOT). We performed FOT, spirometry, and tidal-breathing EIT measurements in 11 healthy controls and 9 volunteers with COPD. Through offline signal processing, we derived 3 features from the impedance-time (Z-t) curve for each image pixel: 1) tE, mean expiratory time; 2) PHASE, mean time difference between pixel and global Z-t curves; and 3) AMP, mean amplitude of Z-t curve tidal variation. Distribution was quantified by the coefficient of variation (CV) and the heterogeneity index (HI). Both CV and HI of the tE and PHASE features were significantly increased in COPD compared with controls, and both related to spirometry and FOT resistance and reactance measurements. In contrast, distribution of the AMP feature showed no relationships with lung mechanics. These novel time-based EIT metrics of VH reflect complex lung mechanics in COPD and have the potential to allow real-time visualization of pulmonary physiology in spontaneously breathing subjects.NEW & NOTEWORTHY Pulmonary electrical impedance tomography (EIT) is a real-time imaging technique capable of monitoring ventilation with exquisite temporal resolution. We report novel, time-based EIT measurements that not only demonstrate ventilation heterogeneity in chronic obstructive pulmonary disease (COPD), but also reflect oscillatory lung mechanics. These EIT measurements are noninvasive, radiation-free, easy to obtain, and provide real-time visualization of the complex pathophysiology of COPD.
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Affiliation(s)
- Stephen Milne
- Airway Physiology and Imaging Group and Woolcock Emphysema Centre, Woolcock Institute of Medical Research, University of Sydney, Sydney, New South Wales, Australia.,Faculty of Medicine and Health, Central Clinical School, University of Sydney, Sydney, New South Wales, Australia.,Faculty of Medicine and Health, Northern Clinical School, University of Sydney, Sydney, New South Wales, Australia.,Department of Respiratory Medicine, Royal North Shore Hospital, Northern Sydney Local Health District, St. Leonards, New South Wales, Australia.,Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jacqueline Huvanandana
- Airway Physiology and Imaging Group and Woolcock Emphysema Centre, Woolcock Institute of Medical Research, University of Sydney, Sydney, New South Wales, Australia
| | - Chinh Nguyen
- Airway Physiology and Imaging Group and Woolcock Emphysema Centre, Woolcock Institute of Medical Research, University of Sydney, Sydney, New South Wales, Australia
| | - Joseph M Duncan
- Department of Respiratory Medicine, Royal North Shore Hospital, Northern Sydney Local Health District, St. Leonards, New South Wales, Australia
| | - David G Chapman
- Airway Physiology and Imaging Group and Woolcock Emphysema Centre, Woolcock Institute of Medical Research, University of Sydney, Sydney, New South Wales, Australia.,Translational Airways Group, School of Life Sciences, University of Technology Sydney, Ultimo, New South Wales, Australia
| | - Katrina O Tonga
- Airway Physiology and Imaging Group and Woolcock Emphysema Centre, Woolcock Institute of Medical Research, University of Sydney, Sydney, New South Wales, Australia.,Faculty of Medicine and Health, Northern Clinical School, University of Sydney, Sydney, New South Wales, Australia.,Faculty of Medicine, the University of New South Wales, Kensington, New South Wales, Australia
| | - Sabine C Zimmermann
- Airway Physiology and Imaging Group and Woolcock Emphysema Centre, Woolcock Institute of Medical Research, University of Sydney, Sydney, New South Wales, Australia.,Faculty of Medicine and Health, Northern Clinical School, University of Sydney, Sydney, New South Wales, Australia.,Department of Respiratory Medicine, Royal North Shore Hospital, Northern Sydney Local Health District, St. Leonards, New South Wales, Australia
| | - Alexander Slattery
- Department of Respiratory Medicine, Royal North Shore Hospital, Northern Sydney Local Health District, St. Leonards, New South Wales, Australia
| | - Gregory G King
- Airway Physiology and Imaging Group and Woolcock Emphysema Centre, Woolcock Institute of Medical Research, University of Sydney, Sydney, New South Wales, Australia.,Faculty of Medicine and Health, Northern Clinical School, University of Sydney, Sydney, New South Wales, Australia.,Department of Respiratory Medicine, Royal North Shore Hospital, Northern Sydney Local Health District, St. Leonards, New South Wales, Australia.,Centre of Excellence in Severe Asthma, New Lambton, New South Wales, Australia
| | - Cindy Thamrin
- Airway Physiology and Imaging Group and Woolcock Emphysema Centre, Woolcock Institute of Medical Research, University of Sydney, Sydney, New South Wales, Australia.,Faculty of Medicine and Health, Central Clinical School, University of Sydney, Sydney, New South Wales, Australia
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