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Li A, Teoh A, Troy L, Glaspole I, Wilsher ML, de Boer S, Wrobel J, Moodley YP, Thien F, Gallagher H, Galbraith M, Chambers DC, Mackintosh J, Goh N, Khor YH, Edwards A, Royals K, Grainge C, Kwan B, Keir GJ, Ong C, Reynolds PN, Veitch E, Chai GT, Ng Z, Tan GP, Jackson D, Corte T, Jo H. Implications of the 2022 lung function update and GLI global reference equations among patients with interstitial lung disease. Thorax 2024; 79:1024-1032. [PMID: 39317451 PMCID: PMC11503192 DOI: 10.1136/thorax-2024-221813] [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: 04/18/2024] [Accepted: 08/09/2024] [Indexed: 09/26/2024]
Abstract
BACKGROUND Lung function testing remains a cornerstone in the assessment and management of interstitial lung disease (ILD) patients. The clinical implications of the Global Lung function Initiative (GLI) reference equations and the updated interpretation strategies remain uncertain. METHODS Adult patients with ILD with baseline forced vital capacity (FVC) were included from the Australasian ILD registry and the National Healthcare Group ILD registry, Singapore.The European Coal and Steel Community and Miller reference equations were compared with the GLI reference equations to assess (a) differences in lung function percent predicted values; (b) ILD risk prediction models and (c) eligibility for ILD clinical trial enrolment. RESULTS Among 2219 patients with ILD, 1712 (77.2%) were white individuals. Idiopathic pulmonary fibrosis (IPF), connective tissue disease-associated ILD and unclassifiable ILD predominated.Median FVC was 2.60 (2.01-3.36) L, forced expiratory volume in 1 s was 2.09 (1.67-2.66) L and diffusing capacity of the lungs for carbon monoxide (DLCO) was 13.60 (10.16-17.60) mL/min/mm Hg. When applying the GLI reference equations, the mean FVC percentage predicted was 8.8% lower (87.7% vs 78.9%, p<0.01) while the mean DLCO percentage predicted was 4.9% higher (58.5% vs 63.4%, p<0.01). There was a decrease in 19 IPF and 119 non-IPF patients who qualified for the nintedanib clinical trials when the GLI reference equations were applied. Risk prediction models performed similarly in predicting mortality using both reference equations. CONCLUSION Applying the GLI reference equations in patients with ILD leads to higher DLCO percentage predicted values and smaller lung volume percentage predicted values. While applying the GLI reference equations did not impact on prognostication, fewer patients met the clinical trial criteria for antifibrotic agents.
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Affiliation(s)
- Andrew Li
- Department of Medicine, Respiratory Service, Woodlands Health, Singapore
- Department of Respiratory and Sleep Medicine, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
- Department of Respiratory and Critical Care Medicine, Tan Tock Seng Hospital, Singapore
| | - Alan Teoh
- Department of Respiratory and Sleep Medicine, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
- Department of Respiratory and Sleep Medicine, Westmead Hospital, Sydney, New South Wales, Australia
| | - Lauren Troy
- Department of Respiratory and Sleep Medicine, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
- Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | | | - Margaret L Wilsher
- Respiratory Services, Auckland District Health Board, Auckland, New Zealand
| | - Sally de Boer
- Green Lane Respiratory Services, Auckland City Hospital, Auckland, New Zealand
| | - Jeremy Wrobel
- Department of Respiratory Medicine, Fiona Stanley Hospital, Murdoch, Western Australia, Australia
- Department of Medicine, University of Notre Dame Australia, Fremantle, Perth, Australia
| | - Yuben P Moodley
- Department of Respiratory Medicine, Fiona Stanley Hospital, Murdoch, Western Australia, Australia
- Centre for Respiratory Health, Institute for Respiratory Health, Nedlands, Western Australia, Australia
| | - Francis Thien
- Department of Respiratory Medicine, Eastern Health and Monash University, Box Hill, Victoria, Australia
| | | | | | - Daniel C Chambers
- Queensland Lung Transplant Service, The Prince Charles Hospital, Chermside, Queensland, Australia
- Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - John Mackintosh
- Department of Thoracic Medicine, The Prince Charles Hospital, Chermside, Queensland, Australia
| | - Nicole Goh
- Respiratory and Sleep Medicine Department, Austin Health, Heidelberg, Victoria, Australia
| | - Yet Hong Khor
- Respiratory and Sleep Medicine, Austin Hospital, Heidelberg, Victoria, Australia
- Institute for Breathing and Sleep, Monash University, Melbourne, Victoria, Australia
- Faculty of Medicine, University of Melbourne, Melbourne, Victoria, Australia
- Respiratory Research@ALfred, Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Adrienne Edwards
- Respiratory Department, Christchurch Hospital, Christchurch, Canterbury, New Zealand
| | - Karen Royals
- Department for Health and Ageing, Respiratory Nursing Service, Adelaide, South Australia, Australia
| | | | - Benjamin Kwan
- Department of Respiratory and Sleep Medicine, Sutherland Hospital, Caringbah, New South Wales, Australia
| | - Gregory J Keir
- University of Queensland, St Lucia, Queensland, Australia
| | - Chong Ong
- Department of Respiratory and Sleep Medicine, St Vincent's Hospital Sydney, Darlinghurst, New South Wales, Australia
| | - Paul N Reynolds
- Department of Respiratory Medicine, Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - Elizabeth Veitch
- Department of Thoracic Medicine, Concord Hospital, Concord, New South Wales, Australia
| | - Gin Tsen Chai
- Department of Respiratory and Critical Care Medicine, Tan Tock Seng Hospital, Singapore
| | - Ziqin Ng
- Department of Respiratory and Critical Care Medicine, Tan Tock Seng Hospital, Singapore
| | - Geak Poh Tan
- Department of Respiratory and Critical Care Medicine, Tan Tock Seng Hospital, Singapore
| | - Dan Jackson
- Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | - Tamera Corte
- Department of Respiratory and Sleep Medicine, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
- Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | - Helen Jo
- Department of Respiratory and Sleep Medicine, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
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Huang K, Han X, Pan Z, Xu J, Zhao J, Zhang X, Song Y, Kang J, Ran P, Zhou Y, Shen H, Wen F, Huang K, Chen Y, Guo Y, Shan G, Wu S, Guan T, Yang T, Wang C. Impact of Using Pre- and Postbronchodilator Spirometry Reference Values in a Chinese Population. Am J Respir Crit Care Med 2024; 210:881-889. [PMID: 38687500 DOI: 10.1164/rccm.202308-1488oc] [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: 08/26/2023] [Accepted: 04/29/2024] [Indexed: 05/02/2024] Open
Abstract
Rationale: Spirometry reference equations that are derived from a large, nationally representative general population are warranted in China, and the impact of using prebronchodilator (pre-BD) and post-BD spirometry reference values has yet to be assessed in Chinese populations. Objectives: To present the pre-BD and post-BD spirometry reference values for Chinese adults using the China Pulmonary Health (CPH) Study. Methods: A reference population of 17,969 healthy, nonsmoking participants in the CPH Study was used to calculate the pre- and post-BD reference values for FEV1, FVC, and FEV1/FVC ratio. Pre- and post-BD reference values were applied to the entire CPH population (N = 50,991) to illustrate the divergence between the use of different references in determining disease prevalence and severity grading. Measurements and Main Results: The prevalences of airflow limitation were 5.36% using the pre-BD reference and 8.02% using the post-BD reference. Individuals who had a post-BD FEV1/FVC ratio lower than the post-BD reference value but higher than the pre-BD reference value were found to have significantly higher rates of self-reported respiratory symptoms and significantly lower values on spirometry indicators than those whose post-BD FEV1/FVC ratio was greater than the post-BD reference value. An additional 3.51% of participants were identified as having grade II-IV chronic obstructive pulmonary disease using the post-BD FEV1 predicted values. Conclusions: This study generated and applied pre- and post-BD spirometry reference values in a nationally representative Chinese adult population. Post-BD reference values may serve as an additional criterion in identifying individuals at risk for obstructive pulmonary diseases, and their diagnostic and prognostic values should be further investigated.
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Affiliation(s)
- Ke Huang
- National Center for Respiratory Diseases, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, P.R. China
- Department of Pulmonary and Critical Care Medicine and
| | - Xueyan Han
- School of Health Policy and Management, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, P.R. China
| | - Zhaoyang Pan
- School of Health Policy and Management, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, P.R. China
| | - Jianying Xu
- Department of Pulmonary and Critical Care Medicine, Shanxi Bethune Hospital Shanxi Academy of Medical Sciences, Taiyuan, P.R. China
| | - Jianping Zhao
- Department of Pulmonary and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Xiangyan Zhang
- Department of Pulmonary and Critical Care Medicine, Guizhou Provincial People's Hospital, Guiyang, P.R. China
| | - Yuanlin Song
- Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, P.R. China
| | - Jian Kang
- Department of Pulmonary and Critical Care Medicine, The First Hospital of China Medical University, Shenyang, P.R. China
| | - Pixin Ran
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou Institute of Respiratory Diseases, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, P.R. China
| | - Yumin Zhou
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou Institute of Respiratory Diseases, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, P.R. China
| | - Huahao Shen
- Department of Pulmonary and Critical Care Medicine, School of Medicine, The Second Affiliated Hospital of Zhejiang University, Hangzhou, P.R. China
| | - Fuqiang Wen
- State Key Laboratory of Biotherapy of China and Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, P.R. China
| | - Kewu Huang
- Beijing Key Laboratory of Respiratory and Pulmonary Circulation Disorders, Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Beijing, P.R. China
| | - Yahong Chen
- Department of Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, P.R. China
| | - Yanfei Guo
- Department of Respiratory and Critical Care Medicine, National Center of Gerontology, Beijing Hospital, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P.R. China
| | - Guangliang Shan
- Department of Epidemiology and Biostatistics, School of Basic Medicine of Peking Union Medical College, Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences, Beijing, P.R. China; and
| | - Sinan Wu
- National Center for Respiratory Diseases, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, P.R. China
- Department of Clinical Research and Data Management, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, P.R. China
| | - Tianjia Guan
- School of Health Policy and Management, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, P.R. China
| | - Ting Yang
- National Center for Respiratory Diseases, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, P.R. China
- Department of Pulmonary and Critical Care Medicine and
| | - Chen Wang
- National Center for Respiratory Diseases, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, P.R. China
- Department of Pulmonary and Critical Care Medicine and
- Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, P.R. China
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Spece LJ, Hee Wai T, Donovan LM, Duan KI, Plumley R, Crothers KA, Thakur N, Baugh A, Hayes S, Picazo F, Feemster LC, Au DH. The Impact of Changing Race-Specific Equations for Lung Function Tests among Veterans with Chronic Obstructive Pulmonary Disease. Ann Am Thorac Soc 2024; 21:1272-1280. [PMID: 38820262 DOI: 10.1513/annalsats.202312-1020oc] [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: 12/04/2023] [Accepted: 05/29/2024] [Indexed: 06/02/2024] Open
Abstract
Rationale: The American Thoracic Society recommended a single reference equation for spirometry, but the impact on patients is not known. Objectives: To estimate the effect of changing to a single reference equation among veterans with chronic obstructive pulmonary disease (COPD). Methods: A cross-sectional study was conducted including veterans aged ⩾40 to ⩽89 years with COPD and spirometry results from 21 facilities between 2010 and 2019. We collected race and ethnicity data from the electronic health record. We estimated the percentage change in the number of veterans with lung function meeting clinical thresholds used to determine eligibility for lung resection for cancer, lung volume reduction surgery (LVRS), and lung transplantation referral. We estimated the change for each level of U.S. Department of Veterans Affairs service connection and financial impact. Results: We identified 44,892 veterans (Asian, 0.5%; Black, 11.8%; White, 80.8%; and Hispanic, 1.8%). When changing to a single reference equation, Asian and Black veterans had reduced predicted lung function that could result in less surgical lung resection (4.4% and 11.1%, respectively) while increasing LVRS (1.7% and 3.8%) and lung transplantation evaluation for Black veterans (1.2%). White veterans had increased predicted lung function and could experience increased lung resection (8.1%), with less LVRS (3.3%) and lung transplantation evaluation (0.9%). Some Asian and Black veterans could experience increases in monthly disability payments (+$540.38 and +$398.38), whereas White veterans could see a decrease (-$588.79). When aggregated, Hispanic veterans experienced changes attributable to their racial identity and, because this sample was predominantly Hispanic White, had similar results to White veterans. Conclusions: Changing the reference equation could affect access to treatment and disability benefits, depending on race. If adopted, the use of discrete clinical thresholds needs to be reassessed, considering patient-centered outcomes.
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Affiliation(s)
- Laura J Spece
- Center of Innovation for Veteran-Centered and Value-Driven Care
- VA Puget Sound Health Care System, Seattle, Washington
- Department of Medicine, University of Washington, Seattle, Washington
| | - Travis Hee Wai
- Center of Innovation for Veteran-Centered and Value-Driven Care
- VA Puget Sound Health Care System, Seattle, Washington
| | - Lucas M Donovan
- Center of Innovation for Veteran-Centered and Value-Driven Care
- VA Puget Sound Health Care System, Seattle, Washington
- Department of Medicine, University of Washington, Seattle, Washington
| | - Kevin I Duan
- Department of Medicine, University of Washington, Seattle, Washington
- Division of Respiratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada; and
| | - Robert Plumley
- Center of Innovation for Veteran-Centered and Value-Driven Care
- VA Puget Sound Health Care System, Seattle, Washington
| | - Kristina A Crothers
- Center of Innovation for Veteran-Centered and Value-Driven Care
- VA Puget Sound Health Care System, Seattle, Washington
- Department of Medicine, University of Washington, Seattle, Washington
| | - Neeta Thakur
- Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco, California
| | - Aaron Baugh
- Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco, California
| | - Sophia Hayes
- Center of Innovation for Veteran-Centered and Value-Driven Care
- VA Puget Sound Health Care System, Seattle, Washington
- Department of Medicine, University of Washington, Seattle, Washington
| | - Fernando Picazo
- Center of Innovation for Veteran-Centered and Value-Driven Care
- VA Puget Sound Health Care System, Seattle, Washington
- Department of Medicine, University of Washington, Seattle, Washington
| | - Laura C Feemster
- Center of Innovation for Veteran-Centered and Value-Driven Care
- VA Puget Sound Health Care System, Seattle, Washington
- Department of Medicine, University of Washington, Seattle, Washington
| | - David H Au
- Center of Innovation for Veteran-Centered and Value-Driven Care
- VA Puget Sound Health Care System, Seattle, Washington
- Department of Medicine, University of Washington, Seattle, Washington
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4
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Guo X, Ren H, Sun P, Ding E, Fang J, Fang K, Ma X, Li C, Li C, Xu Y, Cao K, Lin EZ, Guo P, Pollitt KJG, Tong S, Tang S, Shi X. Personal exposure to airborne organic pollutants and lung function changes among healthy older adults. ENVIRONMENTAL RESEARCH 2024; 258:119411. [PMID: 38876423 DOI: 10.1016/j.envres.2024.119411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 06/07/2024] [Accepted: 06/10/2024] [Indexed: 06/16/2024]
Abstract
Epidemiological evidence on the impact of airborne organic pollutants on lung function among the elderly is limited, and their underlying biological mechanisms remain largely unexplored. Herein, a longitudinal panel study was conducted in Jinan, Shandong Province, China, involving 76 healthy older adults monitored over a span of five months repetitively. We systematically evaluated personal exposure to a diverse range of airborne organic pollutants using a wearable passive sampler and their effects on lung function. Participants' pulmonary function indicators were assessed, complemented by comprehensive multi-omics analyses of blood and urine samples. Leveraging the power of interaction analysis, causal inference test (CIT), and integrative pathway analysis (IPA), we explored intricate relationships between specific organic pollutants, biomolecules, and lung function deterioration, elucidating the biological mechanisms underpinning the adverse impacts of these pollutants. We observed that bis (2-chloro-1-methylethyl) ether (BCIE) was significantly associated with negative changes in the forced vital capacity (FVC), with glycerolipids mitigating this adverse effect. Additionally, 31 canonical pathways [e.g., high mobility group box 1 (HMGB1) signaling, phosphatidylinositol 3-kinase (PI3K)/AKT pathway, epithelial mesenchymal transition, and heme and nicotinamide adenine dinucleotide (NAD) biosynthesis] were identified as potential mechanisms. These findings may hold significant implications for developing effective strategies to prevent and mitigate respiratory health risks arising from exposure to such airborne pollutants. However, due to certain limitations of the study, our results should be interpreted with caution.
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Affiliation(s)
- Xiaojie Guo
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; School of Public Health, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Huimin Ren
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; School of Public Health, China Medical University, Shenyang, Liaoning 110001, China
| | - Peijie Sun
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; School of Public Health, China Medical University, Shenyang, Liaoning 110001, China
| | - Enmin Ding
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Jianlong Fang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Ke Fang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Xiao Ma
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; School of Public Health, Shandong University, Jinan, Shandong 250100, China
| | - Chenfeng Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China
| | - Chenlong Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; School of Public Health, Shandong University, Jinan, Shandong 250100, China
| | - Yibo Xu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; School of Public Health, China Medical University, Shenyang, Liaoning 110001, China
| | - Kangning Cao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China
| | - Elizabeth Z Lin
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT 06510, USA
| | - Pengfei Guo
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT 06510, USA
| | - Krystal J Godri Pollitt
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT 06510, USA
| | - Shilu Tong
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; School of Public Health and Social Work, Queensland University of Technology, Brisbane 4001, Australia
| | - Song Tang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
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5
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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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6
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Wang RJ. The Race Arithmetic of the Global Lung Function Initiative Global Reference Equations. Am J Respir Crit Care Med 2024; 209:112-113. [PMID: 37193658 PMCID: PMC10870888 DOI: 10.1164/rccm.202303-0565le] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 05/16/2023] [Indexed: 05/18/2023] Open
Affiliation(s)
- Richard J Wang
- Department of Medicine, University of California, San Francisco, San Francisco, California
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7
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Wang RJ. Beyond Race-Specific Spirometry Reference Equations: What Comes Next? Am J Respir Crit Care Med 2024; 209:117-118. [PMID: 37595271 PMCID: PMC10870874 DOI: 10.1164/rccm.202305-0921le] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 08/17/2023] [Indexed: 08/20/2023] Open
Affiliation(s)
- Richard J Wang
- Department of Medicine, University of California, San Francisco, San Francisco, California
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8
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Sheshadri A, Rajaram R, Baugh A, Castro M, Correa AM, Soto F, Daniel CR, Li L, Evans SE, Dickey BF, Vaporciyan AA, Ost DE. Association of Preoperative Lung Function with Complications after Lobectomy Using Race-Neutral and Race-Specific Normative Equations. Ann Am Thorac Soc 2024; 21:38-46. [PMID: 37796618 PMCID: PMC10867917 DOI: 10.1513/annalsats.202305-396oc] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 10/04/2023] [Indexed: 10/07/2023] Open
Abstract
Rationale: Pulmonary function testing (PFT) is performed to aid patient selection before surgical resection for non-small cell lung cancer (NSCLC). The interpretation of PFT data relies on normative equations, which vary by race, but the relative strength of association of lung function using race-specific or race-neutral normative equations with postoperative pulmonary complications is unknown. Objectives: To compare the strength of association of lung function, using race-neutral or race-specific equations, with surgical complications after lobectomy for NSCLC. Methods: We studied 3,311 patients who underwent lobectomy for NSCLC and underwent preoperative PFT from 2001 to 2021. We used Global Lung Function Initiative equations to generate race-specific and race-neutral normative equations to calculate percentage predicted forced expiratory volume in 1 second (FEV1%). The primary outcome of interest was the occurrence of postoperative pulmonary complications within 30 days of surgery. We used unadjusted and race-adjusted logistic regression models and least absolute shrinkage and selection operator analyses adjusted for relevant comorbidities to measure the association of race-specific and race-neutral FEV1% with pulmonary complications. Results: Thirty-one percent of patients who underwent surgery experienced pulmonary complications. Higher FEV1, whether measured with race-neutral (odds ratio [OR], 0.98 per 1% change in FEV1% [95% confidence interval (CI), 0.98-0.99]; P < 0.001) or race-specific (OR, 0.98 per 1% change in FEV1% [95% CI, 0.98-0.98]; P < 0.001) normative equations, was associated with fewer postoperative pulmonary complications. The area under the receiver operator curve for pulmonary complications was similar for race-adjusted race-neutral (0.60) and race-specific (0.60) models. Using least absolute shrinkage and selection operator regression, higher FEV1% was similarly associated with a lower rate of pulmonary complications in race-neutral (OR, 0.99 per 1% [95% CI, 0.98-0.99]) and race-specific (OR, 0.99 per 1%; 95% CI, 0.98-0.99) models. The marginal effect of race on pulmonary complications was attenuated in all race-specific models compared with all race-neutral models. Conclusions: The choice of race-specific or race-neutral normative PFT equations does not meaningfully affect the association of lung function with pulmonary complications after lobectomy for NSCLC, but the use of race-neutral equations unmasks additional effects of self-identified race on pulmonary complications.
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Affiliation(s)
| | | | - Aaron Baugh
- Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, San Francisco, California; and
| | - Mario Castro
- Division of Pulmonary, Critical Care, and Sleep Medicine, University of Kansas Medical Center, Kansas City, Missouri
| | | | | | | | - Liang Li
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
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Günther S, Gille T, Chenuel B, Aubourg F, Barnig C, Bayat S, Beydon N, Bonay M, Charloux A, Demoulin S, Hulo S, Ioana C, Rannou F, Gauthier R, Edmé JL, Plantier L. [Global Lung Initiative reference values are recommended for pulmonary function testing in France: A statement from the Lung Function Group of the French-Speaking Pulmonology Society]. Rev Mal Respir 2023; 40:198-201. [PMID: 36717334 DOI: 10.1016/j.rmr.2023.01.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 12/27/2022] [Indexed: 01/30/2023]
Affiliation(s)
- S Günther
- Unité d'explorations fonctionnelles respiratoires et du sommeil, université de Paris Cité, hôpital européen Georges-Pompidou, AP-HP, Paris, France
| | - T Gille
- Inserm U1272 « Hypoxie et Poumon », service physiologie et explorations fonctionnelles, UFR SMBH Léonard-de-Vinci, université Sorbonne Paris Nord, hôpitaux universitaires de Paris Seine-Saint-Denis, AP-HP, Bobigny, France
| | - B Chenuel
- Exploration fonctionnelle respiratoire, centre universitaire de médecine du sport et activités physiques adaptées, DevAH, CHRU-Nancy, université de Lorraine, Nancy, France
| | - F Aubourg
- Service de physiologie, explorations fonctionnelles, université de Paris Cité, hôpital Cochin, AP-HP, Paris, France
| | - C Barnig
- Service de pneumologie, oncologie thoracique et allergologie respiratoire, CHRU Besançon, Besançon, France; Inserm, EFS BFC, LabEx LipSTIC, UMR1098, interactions hôte-greffon-tumeur/ingénierie cellulaire et génique, université de Bourgogne Franche-Comté, Besançon, France
| | - S Bayat
- STROBE Inserm UA07, laboratoire d'explorations fonctionnelles respiratoires, CHU de Grenoble-Alpes, université Grenoble-Alpes, Grenoble, France
| | - N Beydon
- Inserm U938, unité fonctionnelle de physiologie-explorations fonctionnelles respiratoires et du sommeil, centre de recherche Saint-Antoine, Sorbonne-université, hôpital Armand-Trousseau, hôpital Saint-Antoine, AP-HP, Paris, France
| | - M Bonay
- Service de physiologie - explorations fonctionnelles bi-sites Ambroise-Paré - Bicêtre, université Paris Saclay, hôpital Ambroise-Paré, AP-HP, Boulogne, France
| | - A Charloux
- Faculté de médecine, maïeutique et sciences de la santé de Strasbourg, hôpitaux universitaires de Strasbourg, nouvel hôpital Civil, Strasbourg cedex, France
| | - S Demoulin
- Inserm, service d'explorations fonctionnelles respiratoires, CNRS, CHU Lille, université de Lille, U1019-UMR9017-CIIL-centre d'infection et d'immunité de Lille, institut Pasteur de Lille, Lille, France
| | - S Hulo
- CHU de Lille, université de Lille, ULR 4483 - IMPECS - IMPact de l'environnement chimique sur la santé humaine, institut Pasteur Lille, Lille, France
| | - C Ioana
- Service d'explorations fonctionnelles pédiatriques, CHRU de Nancy ; EA DevAH, université de Lorraine, hôpital d'Enfants, Nancy, France
| | - F Rannou
- Équipe ASMS-UNH, service de médecine du sport & explorations fonctionnelles, CHU de Clermont-Ferrand, CRNH Auvergne, Clermont-Ferrand, France
| | - R Gauthier
- Unité d'explorations fonctionnelles respiratoires pédiatriques, CHU de Amiens-Picardie, Amiens, France
| | - J-L Edmé
- CHU de Lille, université de Lille, ULR 4483 - IMPECS - IMPact de l'environnement chimique sur la santé humaine, institut Pasteur Lille, Lille, France
| | - L Plantier
- CEPR/Inserm UMR1100, service de pneumologie et explorations respiratoires, CHRU de Tours, université de Tours, Tours, France.
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Langhammer A. Contributions to simplifying the global interpretation of spirometry: high quality spirometry data from Asia. Eur Respir J 2022; 60:2201608. [PMID: 36455961 DOI: 10.1183/13993003.01608-2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 09/29/2022] [Indexed: 12/03/2022]
Affiliation(s)
- Arnulf Langhammer
- HUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Levanger, Norway
- Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway
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