Implications of the 2022 lung function update and GLI global reference equations among patients with interstitial lung disease.

Connective tissue disease associated lung disease Idiopathic pulmonary fibrosis Interstitial Fibrosis Pulmonary vasculitis Rare lung diseases

Journal

Thorax
ISSN: 1468-3296
Titre abrégé: Thorax
Pays: England
ID NLM: 0417353

Informations de publication

Date de publication:
24 Sep 2024
Historique:
received: 18 04 2024
accepted: 09 08 2024
medline: 25 9 2024
pubmed: 25 9 2024
entrez: 24 9 2024
Statut: aheadofprint

Résumé

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. 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. 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. 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.

Sections du résumé

BACKGROUND 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 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 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 CONCLUSIONS
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.

Identifiants

pubmed: 39317451
pii: thorax-2024-221813
doi: 10.1136/thorax-2024-221813
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2024. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Andrew Li (A)

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 (A)

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 (L)

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.

Ian Glaspole (I)

Alfred Hospital, Melbourne, Victoria, Australia.

Margaret L Wilsher (ML)

Respiratory Services, Auckland District Health Board, Auckland, New Zealand.

Sally de Boer (S)

Green Lane Respiratory Services, Auckland City Hospital, Auckland, New Zealand.

Jeremy Wrobel (J)

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 (YP)

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 (F)

Department of Respiratory Medicine, Eastern Health and Monash University, Box Hill, Victoria, Australia.

Henry Gallagher (H)

Waikato Hospital, Hamilton, New Zealand.

Michelle Galbraith (M)

Waikato Hospital, Hamilton, New Zealand.

Daniel C Chambers (DC)

Queensland Lung Transplant Service, The Prince Charles Hospital, Chermside, Queensland, Australia.
Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.

John Mackintosh (J)

Department of Thoracic Medicine, The Prince Charles Hospital, Chermside, Queensland, Australia.

Nicole Goh (N)

Respiratory and Sleep Medicine Department, Austin Health, Heidelberg, Victoria, Australia.

Yet Hong Khor (YH)

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 (A)

Respiratory Department, Christchurch Hospital, Christchurch, Canterbury, New Zealand.

Karen Royals (K)

Department for Health and Ageing, Respiratory Nursing Service, Adelaide, South Australia, Australia.

Christopher Grainge (C)

University of Newcastle, Callaghan, New South Wales, Australia.

Benjamin Kwan (B)

Department of Respiratory and Sleep Medicine, Sutherland Hospital, Caringbah, New South Wales, Australia.

Gregory J Keir (GJ)

University of Queensland, St Lucia, Queensland, Australia.

Chong Ong (C)

Department of Respiratory and Sleep Medicine, St Vincent's Hospital Sydney, Darlinghurst, New South Wales, Australia.

Paul N Reynolds (PN)

Department of Respiratory Medicine, Royal Adelaide Hospital, Adelaide, South Australia, Australia.

Elizabeth Veitch (E)

Department of Thoracic Medicine, Concord Hospital, Concord, New South Wales, Australia.

Gin Tsen Chai (GT)

Department of Respiratory and Critical Care Medicine, Tan Tock Seng Hospital, Singapore.

Ziqin Ng (Z)

Department of Respiratory and Critical Care Medicine, Tan Tock Seng Hospital, Singapore.

Geak Poh Tan (GP)

Department of Respiratory and Critical Care Medicine, Tan Tock Seng Hospital, Singapore.

Dan Jackson (D)

Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia.

Tamera Corte (T)

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 (H)

Department of Respiratory and Sleep Medicine, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia Helen.Jo@health.nsw.gov.au.

Classifications MeSH