The natural history of progressive fibrosing interstitial lung diseases

Kevin K Brown, Fernando J Martinez, Simon L F Walsh, Victor J Thannickal, Antje Prasse, Rozsa Schlenker-Herceg, Rainer-Georg Goeldner, Emmanuelle Clerisme-Beaty, Kay Tetzlaff, Vincent Cottin, Athol U Wells, Kevin K Brown, Fernando J Martinez, Simon L F Walsh, Victor J Thannickal, Antje Prasse, Rozsa Schlenker-Herceg, Rainer-Georg Goeldner, Emmanuelle Clerisme-Beaty, Kay Tetzlaff, Vincent Cottin, Athol U Wells

Abstract

We used data from the INBUILD and INPULSIS trials to investigate the natural history of progressive fibrosing interstitial lung diseases (ILDs).Subjects in the two INPULSIS trials had a clinical diagnosis of idiopathic pulmonary fibrosis (IPF) while subjects in the INBUILD trial had a progressive fibrosing ILD other than IPF and met protocol-defined criteria for ILD progression despite management. Using data from the placebo groups, we compared the rate of decline in forced vital capacity (FVC) (mL·year-1) and mortality over 52 weeks in the INBUILD trial with pooled data from the INPULSIS trials.The adjusted mean annual rate of decline in FVC in the INBUILD trial (n=331) was similar to that observed in the INPULSIS trials (n=423) (-192.9 mL·year-1 and -221.0 mL·year-1, respectively; nominal p-value=0.19). The proportion of subjects who had a relative decline in FVC >10% predicted at Week 52 was 48.9% in the INBUILD trial and 48.7% in the INPULSIS trials, and the proportion who died over 52 weeks was 5.1% in the INBUILD trial and 7.8% in the INPULSIS trials. A relative decline in FVC >10% predicted was associated with an increased risk of death in the INBUILD trial (hazard ratio 3.64) and the INPULSIS trials (hazard ratio 3.95).These findings indicate that patients with fibrosing ILDs other than IPF, who are progressing despite management, have a subsequent clinical course similar to patients with untreated IPF, with a high risk of further ILD progression and early mortality.

Trial registration: ClinicalTrials.gov NCT02999178 NCT01335464 NCT01335477.

Conflict of interest statement

Conflict of interest: K.K. Brown reports grants from NHLBI; personal fees from Biogen, Blade Therapeutics, Galapagos, Galecto Biotech, Huitai Biomedicine, Lifemax, Lilly, MedImmune, monARC Bionetworks, Pliant Therapeutics, ProMetic, Third Pole Therapeutics, Theravance, Three Lakes Partners, and Veracyte; personal fees and non-financial support from Boehringer Ingelheim; and other support from Genoa and the Open Source Imaging Consortium (OSIC). Conflict of interest: F.J. Martinez reports grants, personal fees, non-financial support and other support from Boehringer Ingelheim; personal fees, nonfinancial support and other support from AstraZeneca; non-financial support and other support from ProterixBio; personal fees and non-financial support from the Canadian Respiratory Network, Chiesi, CME Outfitters, Dartmouth, Genentech, GlaxoSmithKline, Inova Fairfax Health System, Miller Communications, the National Association for Continuing Education, Novartis, Pearl Pharmaceuticals, PeerView Communications, Physicians Education Resource, Potomac, Prime Communications, the Puerto Rican Respiratory Society, Sunovion, Teva, Theravance, the University of Alabama Birmingham, and Vindico; personal fees and other support from Patara/Respivant; grants from NIH; personal fees from the American Thoracic Society, Columbia University, France Foundation, MD Magazine, Methodist Hospital Brooklyn, New York University, Physicians Education Resource, Rare Disease Healthcare Communications, Rockpointe, UpToDate, and WebMD/Medscape; other support from Afferent/Merck, Bayer, Biogen, Bridge Biotherapeutics, Gala Pharmaceutical, Promedior, Wolters Kluwer, and Veracyte; and non-financial support from Gilead, Nitto, Prometic, and Zambon. Conflict of interest: S.L.F. Walsh reports personal fees for consultancy from Sanofi-Aventis, Galapagos and OSIC, personal fees for advisory board work from Roche, grants and personal fees for steering committee work from Boehringer Ingelheim, personal fees for lectures from Bracco, outside the submitted work. Conflict of interest: V.J. Thannickal reports personal fees for consultancy from Boehringer Ingelheim Pharmaceuticals, Inc., Kadmon Corporation, Pliant, Glenmark, Covance, Blade, Versant Venture, Mistral and Translate Bio, grants from Genkyotex, outside the submitted work. Conflict of interest: A. Prasse reports that Hannover Medical School received a fee for patient randomisation into the INBUILD study from Boehringer Ingelheim; personal fees for consultancy and lectures and non-financial support (travel expenses) from Boehringer Ingelheim and Roche, personal fees for lectures and non-financial support (travel expenses) from Novartis, AstraZeneca and Chiesi, personal fees for consultancy and non-financial support (travel expenses) from Nitto Denko and Pliant, outside the submitted work. Conflict of interest: R. Schlenker-Herceg is an employee of Boehringer Ingelheim Pharmaceuticals, Inc. Conflict of interest: R-G. Goeldner is an employee of Boehringer Ingelheim Pharma GmbH & Co., KG. Conflict of interest: E. Clerisme-Beaty is an employee of Boehringer Ingelheim International GmbH. Conflict of interest: K. Tetzlaff is an employee of Boehringer Ingelheim International GmbH. Conflict of interest: V. Cottin reports personal fees for advisory board work and lectures, and non-financial support for meeting attendance from Actelion, grants, personal fees for advisory board work and lectures, and non-financial support for meeting attendance from Boehringer Ingelheim and Roche, personal fees for advisory board work and data monitoring committee work from Bayer/MSD, Promedior and Galapagos, personal fees for adjudication committee work from Gilead, personal fees for advisory board work and lectures from Novartis, personal fees for lectures from Sanofi, personal fees for data monitoring committee work from Celgene and Galecto, outside the submitted work. Conflict of interest: A.U. Wells reports personal fees for consultancy and lectures from Boehringer Ingelheim and Roche, personal fees for consultancy from Blade, outside the submitted work.

Copyright ©ERS 2020.

Figures

FIGURE 1
FIGURE 1
Annual rate of decline in forced vital capacity (FVC) over 52 weeks in the placebo groups of the INBUILD and INPULSIS trials. The adjusted mean rate of decline in FVC depicted here is representative of an “average subject” within the depicted comparison. The baseline FVC value was computed as the mean baseline FVC of all the subjects from the INBUILD and INPULSIS trials that were used in the respective comparison. Data are presented as n or mean (95% CI). CI: confidence interval; HRCT: high-resolution computed tomography; UIP: usual interstitial pneumonia.
FIGURE 2
FIGURE 2
Observed change in forced vital capacity (FVC) from baseline (mean (se)) over 52 weeks in the placebo groups of the INPULSIS and INBUILD trials. HRCT: high-resolution computed tomography; UIP: usual interstitial pneumonia.
FIGURE 3
FIGURE 3
Annual rate of decline in forced vital capacity (FVC) over 52 weeks in the placebo groups of the INBUILD trial by interstitial lung disease (ILD) diagnosis. Data are presented as n or mean (95% CI). HP: hypersensitivity pneumonitis; iNSIP: idiopathic non-specific interstitial pneumonia; IIP: idiopathic interstitial pneumonia; UIP: usual interstitial pneumonia; HRCT: high-resolution computed tomography; CI: confidence interval. #: rheumatoid arthritis-associated ILD, systemic sclerosis-associated ILD, mixed connective tissue disease-associated ILD, plus autoimmune ILDs in the “Other fibrosing ILDs” category of the case report form; ¶: sarcoidosis, exposure-related ILDs and other terms in the “Other fibrosing ILDs” category of the case report form.
FIGURE 4
FIGURE 4
Proportion of subjects who had (a) a relative decline in forced vital capacity (FVC) >10% predicted at Week 52 and (b) a relative decline in FVC >5% predicted at Week 52 in the placebo groups of the INPULSIS and INBUILD trials. Data are expressed as % or OR (95% CI). OR: odds ratio; CI: confidence interval; UIP: usual interstitial pneumonia; HRCT: high-resolution computed tomography.

References

    1. Raghu G, Remy-Jardin M, Myers JL, et al. . Diagnosis of idiopathic pulmonary fibrosis. An official ATS/ERS/JRS/ALAT clinical practice guideline. Am J Respir Crit Care Med 2018; 198: e44–e68.
    1. Travis WD, Costabel U, Hansell DM, et al. . An official American Thoracic Society/European Respiratory Society statement: update of the international multidisciplinary classification of the idiopathic interstitial pneumonias. Am J Respir Crit Care Med 2013; 188: 733–748.
    1. Wells AU, Brown KK, Flaherty KR, et al. . What's in a name? That which we call IPF, by any other name would act the same. Eur Respir J 2018; 51: 1800692.
    1. Cottin V, Wollin L, Fischer A, et al. . Fibrosing interstitial lung diseases: knowns and unknowns. Eur Respir Rev 2019; 28: 180100.
    1. Kolb M, Vašáková M. The natural history of progressive fibrosing interstitial lung diseases. Respir Res 2019; 20: 57.
    1. Thannickal VJ, Toews GB, White ES, et al. . Mechanisms of pulmonary fibrosis. Annu Rev Med 2004; 55: 395–417.
    1. Prasse A, Pechkovsky DV, Toews GB, et al. . CCL18 as an indicator of pulmonary fibrotic activity in idiopathic interstitial pneumonias and systemic sclerosis. Arthritis Rheum 2007; 56: 1685–1693.
    1. Bagnato G, Harari S. Cellular interactions in the pathogenesis of interstitial lung diseases. Eur Respir Rev 2015; 24: 102–114.
    1. Luckhardt TR, Thannickal VJ. Systemic sclerosis-associated fibrosis: an accelerated aging phenotype? Curr Opin Rheumatol 2015; 27: 571–576.
    1. Wollin L, Distler JHW, Redente EF, et al. . Potential of nintedanib in treatment of progressive fibrosing interstitial lung diseases. Eur Respir J 2019; 54: 1900161.
    1. Kim MY, Song JW, Do KH, et al. . Idiopathic nonspecific interstitial pneumonia: changes in high-resolution computed tomography on long-term follow-up. J Comput Assist Tomogr 2012; 36: 170–174.
    1. Guler SA, Ellison K, Algamdi M, et al. . Heterogeneity in unclassifiable interstitial lung disease. A systematic review and meta-analysis. Ann Am Thorac Soc 2018; 15: 854–863.
    1. De Sadeleer LJ, Hermans F, de Dycker E, et al. . Effects of corticosteroid treatment and antigen avoidance in a large hypersensitivity pneumonitis cohort: a single-centre cohort study. J Clin Med 2018; 8: E14.
    1. Doyle TJ, Dellaripa PF. Lung manifestations in the rheumatic diseases. Chest 2017; 152: 1283–1295.
    1. Guler SA, Winstone TA, Murphy D, et al. . Does systemic sclerosis-associated interstitial lung disease burn out? Specific phenotypes of disease progression. Ann Am Thorac Soc 2018; 15: 1427–1433.
    1. Walsh SL, Wells AU, Sverzellati N, et al. . An integrated clinicoradiological staging system for pulmonary sarcoidosis: a case-cohort study. Lancet Respir Med 2014; 2: 123–130.
    1. Khalil N, Churg A, Muller N, et al. . Environmental, inhaled and ingested causes of pulmonary fibrosis. Toxicol Pathol 2007; 35: 86–96.
    1. Jegal Y, Kim DS, Shim TS, et al. . Physiology is a stronger predictor of survival of pathology in fibrotic interstitial pneumonia. Am J Respir Crit Care Med 2005; 171: 639–644.
    1. Solomon JJ, Chung JH, Cosgrove GP, et al. . Predictors of mortality in rheumatoid arthritis-associated interstitial lung disease. Eur Respir J 2016; 47: 588–596.
    1. Gimenez A, Storrer K, Kuranishi L, et al. . Change in FVC and survival in chronic fibrotic hypersensitivity pneumonitis. Thorax 2018; 73: 391–392.
    1. Goh NS, Hoyles RK, Denton CP, et al. . Short-term pulmonary function trends are predictive of mortality in interstitial lung disease associated with systemic sclerosis. Arthritis Rheumatol 2017; 69: 1670–1678.
    1. Volkmann ER, Tashkin DP, Sim M, et al. . Short-term progression of interstitial lung disease in systemic sclerosis predicts long-term survival in two independent clinical trial cohorts. Ann Rheum Dis 2019; 78: 122–130.
    1. Flaherty KR, Brown KK, Wells AU, et al. . Design of the PF-ILD trial: a double-blind, randomised, placebo-controlled phase III trial of nintedanib in patients with progressive fibrosing interstitial lung disease. BMJ Open Respir Res 2017; 4: e000212.
    1. Torrisi SE, Kahn N, Wälscher J, et al. . Possible value of antifibrotic drugs in patients with progressive fibrosing non-IPF interstitial lung diseases. BMC Pulm Med 2019; 19: 213.
    1. Wollin L, Wex E, Pautsch A, et al. . Mode of action of nintedanib in the treatment of idiopathic pulmonary fibrosis. Eur Respir J 2015; 45: 1434–1445.
    1. Richeldi L, du Bois RM, Raghu G, et al. . Efficacy and safety of nintedanib in idiopathic pulmonary fibrosis. N Engl J Med 2014; 370: 2071–2082.
    1. Flaherty KR, Wells AU, Cottin V, et al. . Nintedanib in progressive fibrosing interstitial lung diseases. N Engl J Med 2019; 381: 1718–1727.
    1. SAS Institute Inc SAS/STAT® 15.1 User's Guide Cary, SAS Institute Inc, 2018. Date last accessed: April 14, 2020.
    1. Walsh SL, Sverzellati N, Devaraj A, et al. . Connective tissue disease related fibrotic lung disease: high resolution computed tomographic and pulmonary function indices as prognostic determinants. Thorax 2014; 69: 216–222.
    1. Zamora-Legoff JA, Krause ML, Crowson CS, et al. . Progressive decline of lung function in rheumatoid arthritis-associated interstitial lung disease. Arthritis Rheumatol 2017; 69: 542–549.
    1. Salisbury ML, Gu T, Murray S, et al. . Hypersensitivity pneumonitis: radiologic phenotypes are associated with distinct survival time and pulmonary function trajectory. Chest 2019; 155: 699–711.
    1. Adegunsoye A, Oldham JM, Bellam SK, et al. . Computed tomography honeycombing identifies a progressive fibrotic phenotype with increased mortality across diverse interstitial lung diseases. Ann Am Thorac Soc 2019; 16: 580–588.
    1. Kim EJ, Elicker BM, Maldonado F, et al. . Usual interstitial pneumonia in rheumatoid arthritis-associated interstitial lung disease. Eur Respir J 2010; 35: 1322–1328.
    1. du Bois RM, Weycker D, Albera C, et al. . Forced vital capacity in patients with idiopathic pulmonary fibrosis. Test properties and minimal clinically important difference. Am J Respir Crit Care Med 2011; 184: 1382–1389.
    1. Richeldi L, Ryerson CJ, Lee JS, et al. . Relative versus absolute change in forced vital capacity in idiopathic pulmonary fibrosis. Thorax 2012; 67: 407–411.
    1. Wells AU, Flaherty KR, Brown KK, et al. . Nintedanib in patients with progressive fibrosing interstitial lung diseases: subgroup analyses by interstitial lung disease diagnosis in the randomised, placebo-controlled INBUILD trial. Lancet Respir Med 2020; 8: 453–460.

Source: PubMed

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