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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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Cestelli L, Stavem K, Johannessen A, Gulsvik A, Nielsen R. Outcome-based Definition of the Lower Limit of Normal in Spirometry: A Study of 26,000 Young Adult Men. Ann Am Thorac Soc 2024; 21:1261-1271. [PMID: 38656819 DOI: 10.1513/annalsats.202312-1027oc] [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: 12/06/2023] [Accepted: 04/22/2024] [Indexed: 04/26/2024] Open
Abstract
Rationale: The definition of the lower limit of normal (LLN) of spirometric variables is not well established. Objectives: To investigate the relationship between spirometric abnormalities defined with different thresholds of the LLN and clinical outcomes and to explore the possibility of using different LLN thresholds according to the pretest probability of disease. Methods: We studied the associations between prebronchodilator spirometric abnormalities (forced expiratory volume in the first second [FEV1] < LLN, forced vital capacity [FVC] < LLN, airflow obstruction, spirometric restriction) defined with different thresholds of the LLN (10th, 5th, 2.5th, 1st percentile) and multiple outcomes (prevalence of spirometric abnormalities, respiratory symptoms, all-cause and respiratory mortality) in 26,091 30- to 46-year-old men who participated in a general population survey in Norway in 1988-1990 and were followed for 26 years. Analyses were performed with both local and Global Lung Function Initiative (GLI)-2012 reference equations, stratified by pretest risk (presence or absence of respiratory symptoms), and adjusted for age, body mass index, smoking, and education. Results: In the total population, the prevalence of airflow obstruction was 11.6% with GLI-LLN10, 11.0% with Local-LLN5, 6.1% with GLI-LLN5, 7.6% with Local-LLN2.5, and 3.5% with GLI-LLN2.5. The prevalence of spirometric restriction was 5.9% with GLI-LLN10, 5.2% with Local-LLN5, and 2.8% with GLI-LLN5. Increasingly lower thresholds of the LLN were associated with increasingly higher odds of respiratory symptoms and hazard of mortality for all spirometric abnormalities with both reference equations. Spirometric abnormalities defined with Local-LLN2.5 in asymptomatic subjects were associated with lower hazard of all-cause mortality (hazard ratio [HR], 1.50; 95% confidence interval [CI], 1.15-1.95 for FEV1 < LLN) than those defined with Local-LLN5 in the general population (HR, 1.67; 95% CI, 1.50-1.87 for FEV1 < LLN) and symptomatic subjects (HR, 1.67; 95% CI, 1.46-1.91 for FEV1 < LLN). Overall, the prevalence of spirometric abnormalities and associations with outcomes obtained with Local-LLN5 were comparable to those obtained with GLI-LLN10 and those obtained with Local-LLN2.5 to GLI-LLN5. Conclusions: There is a relationship between statistically based thresholds of the LLN of spirometric variables and clinical outcomes. Different thresholds of the LLN may be used in different risk subgroups of subjects, but the choice of the threshold needs to be evaluated together with the choice of reference equations.
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Affiliation(s)
| | - Knut Stavem
- Pulmonary Department and
- Health Services Research Unit, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway; and
| | - Ane Johannessen
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | | | - Rune Nielsen
- Department of Clinical Science and
- Department of Thoracic Medicine, Haukeland University Hospital, Bergen, Norway
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Dinh-Xuan AT, Graham BL, Thompson B, Miller MR, Stanojevic S. Reconciling the past and considering the future of pulmonary function test interpretation. Eur Respir J 2024; 63:2302225. [PMID: 38302177 DOI: 10.1183/13993003.02225-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 12/22/2023] [Indexed: 02/03/2024]
Affiliation(s)
- Anh Tuan Dinh-Xuan
- Cochin Hospital, Department of Respiratory and Sleep Medicine, Paris Cité University, Paris, France
| | - Brian L Graham
- Division of Respirology, Critical Care and Sleep Medicine, University of Saskatchewan, Saskatoon, SK, Canada
| | - Bruce Thompson
- Melbourne School of Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Martin R Miller
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Sanja Stanojevic
- Department of Community Health and Epidemiology, Dalhousie University, Halifax, NS, Canada
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Lee HW, Lee JK, Hwang YI, Seo H, Ahn JH, Kim SR, Kim HJ, Jung KS, Yoo KH, Kim DK. Spirometric Interpretation and Clinical Relevance According to Different Reference Equations. J Korean Med Sci 2024; 39:e20. [PMID: 38288534 PMCID: PMC10825457 DOI: 10.3346/jkms.2024.39.e20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 11/21/2023] [Indexed: 02/01/2024] Open
Abstract
BACKGROUND Global Lung Function Initiative (GLI)-2012 reference equation is currently suggested for interpretation of spirometry results and a new local reference equation has been developed in South Korea. However, lung function profiles according to the different reference equations and their clinical relevance have not been identified in chronic obstructive pulmonary disease (COPD) patients. METHODS Our cross-sectional study evaluated Choi's, Korean National Health and National Examination Survey (KNHANES)-VI, and GLI-2012 reference equations. We estimated the percentages of predictive forced expiratory volume in one second (FEV1) and airflow limitation severity according to reference equations and analyzed their associations with patient reported outcomes (PROs): COPD assessment test (CAT) score, St. George's Respiratory Questionnaire for COPD patients (SGRQ-C) score, and six minute walk distance (6MWD). RESULTS In the eligible 2,180 COPD patients, lower predicted values of FEV1 and forced vital capacity (FVC) were found in GLI-2012 compared to Choi's and KNHANES-VI equations. GLI-2012 equation resulted in a lower proportion of patients being classified as FEV1 < 80% or FVC < 80% compared to the other equations. However, the Z-scores of FEV1 and FVC were similar between the KNHANES-VI and GLI-2012 equations. Three reference equations exhibited significant associations between FEV1 (%) and patient-reported outcomes (CAT score, SGRQ-C score, and 6MWD). CONCLUSION GLI-2012 reference equation may not accurately reflect FEV1 (%) in the Korean population, but the Z-score using GLI-2012 equation can be a viable option for assessing FEV1 and airflow limitation in COPD patients. Similar to the other two equations, the GLI-2012 equation demonstrated significant associations with PROs.
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Affiliation(s)
- Hyun Woo Lee
- Division of Respiratory and Critical Care, Department of Internal Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Jung-Kyu Lee
- Division of Respiratory and Critical Care, Department of Internal Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Yong-Il Hwang
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Hyewon Seo
- Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Korea
| | - June Hong Ahn
- Department of Internal Medicine, Yeungnam University Medical Center, College of Medicine, Yeungnam University, Daegu, Korea
| | - Sung-Ryeol Kim
- Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea
| | - Hyun Jung Kim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Keimyung University Dongsan Hospital, Daegu, Korea
| | - Ki-Suck Jung
- Division of Pulmonary, Allergy and Critical Care Medicine, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea
| | - Kwang Ha Yoo
- Department of Internal Medicine, Konkuk University School of Medicine, Seoul, Korea
| | - Deog Kyeom Kim
- Division of Respiratory and Critical Care, Department of Internal Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea.
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Chotirmall SH, Abisheganaden JA, Chew FT, See KC, Cove ME, Goh AEN, Koh MS, Loh CH, Phua J, Lim AYH. Letter from Singapore: Thirty years of progress in clinical care and research. Respirology 2023; 28:966-968. [PMID: 37648425 DOI: 10.1111/resp.14584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 08/02/2023] [Indexed: 09/01/2023]
Affiliation(s)
- Sanjay H Chotirmall
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Department of Respiratory and Critical Care Medicine, Tan Tock Seng Hospital, Singapore, Singapore
| | - John A Abisheganaden
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Department of Respiratory and Critical Care Medicine, Tan Tock Seng Hospital, Singapore, Singapore
| | - Fook Tim Chew
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
| | - Kay Choong See
- Division of Respiratory and Critical Care Medicine, Department of Medicine, National University Hospital, Singapore, Singapore
- National University Cancer Institute, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Matthew E Cove
- Division of Respiratory and Critical Care Medicine, Department of Medicine, National University Hospital, Singapore, Singapore
| | - Anne E N Goh
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore
| | - Mariko Siyue Koh
- Department of Respiratory and Critical Care Medicine, Singapore General Hospital, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Chee Hong Loh
- Department of Respiratory and Critical Care Medicine, Changi General Hospital, Singapore, Singapore
| | - Jason Phua
- Division of Respiratory and Critical Care Medicine, Department of Medicine, National University Hospital, Singapore, Singapore
- FAST and Chronic Programmes, Alexandra Hospital, National University Health System, Singapore, Singapore
| | - Albert Y H Lim
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Department of Respiratory and Critical Care Medicine, Tan Tock Seng Hospital, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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