Markers of disease activity in COPD: an 8-year mortality study in the ECLIPSE cohort

Bartolome Celli, Nicholas Locantore, Julie C Yates, Per Bakke, Peter M A Calverley, Courtney Crim, Harvey O Coxson, David A Lomas, William MacNee, Bruce E Miller, Hana Mullerova, Stephen I Rennard, Edwin K Silverman, Emiel Wouters, Ruth Tal-Singer, Alvar Agusti, Jørgen Vestbo, Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints (ECLIPSE) Investigators, Bartolome Celli, Nicholas Locantore, Julie C Yates, Per Bakke, Peter M A Calverley, Courtney Crim, Harvey O Coxson, David A Lomas, William MacNee, Bruce E Miller, Hana Mullerova, Stephen I Rennard, Edwin K Silverman, Emiel Wouters, Ruth Tal-Singer, Alvar Agusti, Jørgen Vestbo, Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints (ECLIPSE) Investigators

Abstract

Rationale: There are no validated measures of disease activity in COPD. Since "active" disease is expected to have worse outcomes (e.g. mortality), we explored potential markers of disease activity in patients enrolled in the ECLIPSE cohort in relation to 8-year all-cause mortality.

Methods: We investigated 1) how changes in relevant clinical variables over time (1 or 3 years) relate to 8-year mortality; 2) whether these variables inter-relate; and 3) if any clinical, imaging and/or biological marker measured cross-sectionally at baseline relates to any activity component.

Results: Results showed that 1) after 1 year, hospitalisation for COPD, exacerbation frequency, worsening of body mass index, airflow obstruction, dyspnoea and exercise (BODE) index or health status (St George's Respiratory Questionnaire (SGRQ)) and persistence of systemic inflammation were significantly associated with 8-year mortality; 2) at 3 years, the same markers, plus forced expiratory volume in 1 s (FEV1) decline and to a lesser degree computed tomography (CT) emphysema, showed association, thus qualifying as markers of disease activity; 3) changes in FEV1, inflammatory cytokines and CT emphysema were not inter-related, while the multidimensional indices (BODE and SGRQ) showed modest correlations; and 4) changes in these markers could not be predicted by any baseline cross-sectional measure.

Conclusions: In COPD, 1- and 3-year changes in exacerbation frequency, systemic inflammation, BODE and SGRQ scores and FEV1 decline are independent markers of disease activity associated with 8-year all-cause mortality. These disease activity markers are generally independent and not predictable from baseline measurements.

Trial registration: ClinicalTrials.gov NCT00292552.

Conflict of interest statement

Conflict of interest: B. Celli reports grants and personal fees for scientific committee work from GlaxoSmithKline, during the conduct of the study; grants and provision of research facilities from AstraZeneca, personal fees for consultancy and scientific committee work from GlaxoSmithKline, personal fees for consultancy from Boehringer Ingelheim, Sanofi-Aventis, Menarini, Chiesi and Pulmonx, outside the submitted work. Conflict of interest: N. Locantore is an employee and shareholder of GSK. Conflict of interest: J.C. Yates is an employee of and owns shares in GSK. Conflict of interest: P. Bakke reports personal fees for advisory board work and lectures from GlaxoSmithKline, AstraZeneca and Boehringer Ingelheim, personal fees for advisory board work from Chiesi, outside the submitted work. Conflict of interest: P.M.A. Calverley reports personal fees from GSK, Boehringer Ingelheim, Novartis, Zambon, Respironics and Recipharm, outside the submitted work. Conflict of interest: C. Crim is an employee and shareholder of GlaxoSmithKline. Conflict of interest: H.O. Coxson reports grants and personal fees for scientific committee work from GSK, during the conduct of the study. Conflict of interest: D.A. Lomas reports grants and personal fees from GlaxoSmithKline, during the conduct of the study; grants and personal fees for advisory board work and lectures from GlaxoSmithKline, personal fees for advisory board work from Griffols, outside the submitted work. Conflict of interest: W. MacNee reports personal fees for scientific committee work from GSK, during the conduct of the study; personal fees from GSK and AstraZeneca, grants and personal fees from Pfizer, outside the submitted work. Conflict of interest: B.E. Miller is an employee and shareholder of GSK. Conflict of interest: H. Mullerova is a former employee of GlaxoSmithKline. Conflict of interest: S.I. Rennard is a former employee of AstraZeneca, has provided consultancy to GSK, Verona, Bergenbio and NovoVentures, and currently holds shares in AstraZeneca, outside of the submitted work. Prior to 2007, S.I. Rennard received funding from the tobacco industry for studies relating to harm reduction and to the impact of tobacco smoke on stem cells, and also consulted with RJ Reynolds (without personal fee) on the topic of harm reduction: funding from RJ Reynolds to evaluate the effect of a harm reduction product in normal smokers (1996) and in subjects with chronic bronchitis (1999) and to assess the effect of smoking cessation on lower respiratory tract inflammation (2000); participation in a Philip Morris multicentre study to assess biomarkers of smoke exposure (2002); funding for a clinical trial from the Institute for Science and Health (2005), which receives support from the tobacco industry, to evaluate biomarkers in exhaled breath associated with smoking cessation and reduction (this study was supplemented with funding from Lorillard and RJ Reynolds); grants from the Philip Morris External Research Program (2005) to assess the impact of cigarette smoking on circulating stem cells in the mouse; consultancy for RJ Reynolds on the topic of harm reduction until 2007 (no personal remuneration). There are no active tobacco-industry funded projects. All ties with tobacco industry companies and entities supported by tobacco companies were terminated in 2007. Conflict of interest: E.K. Silverman reports grants, personal fees and travel expenses from GlaxoSmithKline, grants from NIH, during the conduct of the study. Conflict of interest: E. Wouters reports personal fees for advisory board work from Nycomed and Boehringer Ingelheim BV, grants and personal fees for lectures from AstraZeneca and GSK, personal fees for lectures from Novartis and Chiesi, outside the submitted work. Conflict of interest: R. Tal-Singer reports is an employee and shareholder of GlaxoSmithKline. Conflict of interest: A. Agusti reports personal fees for scientific committee work from GSK, during the conduct of the study; personal fees from AstraZeneca, Chiesi and Nuvaira, grants and personal fees from Menarini and GSK, outside the submitted work. Conflict of interest: J. Vestbo reports personal fees for steering committee work from GSK, during the conduct of the study; personal fees for lectures and consultancy from AstraZeneca, Chiesi and Novartis, grants and personal fees for lectures and consultancy from Boehringer Ingelheim, grants and personal fees for consultancy from GSK, outside the submitted work; and has a family member employed by Chiesi (Denmark).

Copyright ©ERS 2021.

Figures

FIGURE 1
FIGURE 1
Consolidated Standards of Reporting Trials diagram of all subjects in the ECLIPSE COPD study. #: subjects or sites who stopped study participation or did not consent to 8-year survival status. LTFU: lost to follow-up.
FIGURE 2
FIGURE 2
Kaplan–Meier curves for mortality at 8 years' follow-up, split by body mass index, obstruction, dyspnoea and exercise (BODE) index at baseline.
FIGURE 3
FIGURE 3
Kaplan–Meier curves for mortality from year 3 to year 8 for a) forced expiratory volume in 1 s decline (mL·year−1); b) computed tomography decline (lowest 15th percentile density method) (g·L−1·year−1); c) body mass index, obstruction, dyspnoea, and exercise (BODE) index change; d) St George's Respiratory Questionnaire total score change.
FIGURE 4
FIGURE 4
Kaplan–Meier curves for mortality from year 3 to year 8 for a) any COPD hospitalisation over 3 years; b) frequent exacerbations each year over 3 years.

References

    1. GBD Cause of Death Collaborators . Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392: 1736–1788. doi:10.1016/S0140-6736(18)32203-7
    1. Agusti A, Bel E, Thomas M, et al. . Treatable traits: toward precision medicine of chronic airway diseases. Eur Respir J 2016; 47: 410–419. doi:10.1183/13993003.01359-2015
    1. Vestbo J, Rennard S. Chronic obstructive pulmonary disease biomarker(s) for disease activity needed – urgently. Am J Respir Crit Care Med 2010; 182: 863–864. doi:10.1164/rccm.201004-0602ED
    1. Hurst JR, Vestbo J, Anzueto A, et al. . Susceptibility to exacerbation in chronic obstructive pulmonary disease. N Engl J Med 2010; 363: 1128–1138. doi:10.1056/NEJMoa0909883
    1. Ke X, Marvel J, Yu TC, et al. . Impact of lung function on exacerbations, health care utilization, and costs among patients with COPD. Int J Chron Obstruct Pulmon Dis 2016; 11: 1689–1703. doi:10.2147/COPD.S108967
    1. Thomason MJ, Strachan DP. Which spirometric indices best predict subsequent death from chronic obstructive pulmonary disease? Thorax 2000; 55: 785–788. doi:10.1136/thorax.55.9.785
    1. Celli BR, Cote CG, Marin JM, et al. . The body-mass index, airflow obstruction, dyspnea, and exercise capacity index in chronic obstructive pulmonary disease. N Engl J Med 2004; 350: 1005–1012. doi:10.1056/NEJMoa021322
    1. Best WR, Becktel JM, Singleton JW, et al. . Development of a Crohn's disease activity index: National Cooperative Crohn's Disease Study. Gastroenterology 1976; 70: 439–444. doi:10.1016/S0016-5085(76)80163-1
    1. Bowler RP, Wendt CH, Fessler MB, et al. . New strategies and challenges in lung proteomics and metabolomics. An official American Thoracic Society workshop report. Ann Am Thorac Soc 2017; 14: 1721–1743. doi:10.1513/AnnalsATS.201710-770WS
    1. Pinto-Plata V, Toso J, Lee K, et al. . Profiling serum biomarkers in patients with COPD: associations with clinical parameters. Thorax 2007; 62: 595–601. doi:10.1136/thx.2006.064428
    1. Stockley RA, Halpin DMG, Celli BR, et al. . Chronic obstructive pulmonary disease biomarkers and their interpretation. Am J Respir Crit Care Med 2019; 199: 1195–1204. doi:10.1164/rccm.201810-1860SO
    1. Barnes PJ, Chowdhury B, Kharitonov SA, et al. . Pulmonary biomarkers in chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2006; 174: 6–14. doi:10.1164/rccm.200510-1659PP
    1. Vestbo J, Anderson W, Coxson HO, et al. . Evaluation of COPD Longitudinally to Identify Predictive Surrogate End-points (ECLIPSE). Eur Respir J 2008; 31: 869–873. doi:10.1183/09031936.00111707
    1. Celli BR, Decramer M, Wedzicha JA, et al. . An Official American Thoracic Society/European Respiratory Society Statement: research questions in chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2015; 191: e4–e27. doi:10.1164/rccm.201501-0044ST
    1. Agusti A, Calverley PM, Celli B, et al. . Characterisation of COPD heterogeneity in the ECLIPSE cohort. Respir Res 2010; 11: 122. doi:10.1186/1465-9921-11-122
    1. Dickens JA, Miller BE, Edwards LD, et al. . COPD association and repeatability of blood biomarkers in the ECLIPSE cohort. Respir Res 2011; 12: 146. doi:10.1186/1465-9921-12-146
    1. Rennard SI, Locantore N, Delafont B, et al. . Identification of five chronic obstructive pulmonary disease subgroups with different prognoses in the ECLIPSE cohort using cluster analysis. Ann Am Thorac Soc 2015; 12: 303–312. doi:10.1513/AnnalsATS.201403-125OC
    1. Harrell FE. Regression Modeling Strategies. 2nd Edn. New York, Springer, 2015.
    1. Kohansal R, Martinez-Camblor P, Agustí A, et al. . The natural history of chronic airflow obstruction revisited: an analysis of the Framingham offspring cohort. Am J Respir Crit Care Med 2009; 180: 3–10. doi:10.1164/rccm.200901-0047OC
    1. Marin JM, Alfageme I, Almagro P, et al. . Multicomponent indices to predict survival in COPD: The COCOMICS study. Eur Respir J 2013; 42: 323–332. doi:10.1183/09031936.00121012
    1. Almagro P, Soriano JB, Cabrera FJ, et al. . Short- and medium-term prognosis in patients hospitalized for COPD exacerbation: the CODEX index. Chest 2014; 145: 972–980. doi:10.1378/chest.13-1328
    1. Soler-Cataluña JJ, Martínez-García MA, Sánchez LS, et al. . Severe exacerbations and BODE index: two independent risk factors for death in male COPD patients. Respir Med 2009; 103: 692–699. doi:10.1016/j.rmed.2008.12.005
    1. Celli BR. Predictors of mortality in COPD. Respir Med 2010; 104: 773–779. doi:10.1016/j.rmed.2009.12.017
    1. Celli BR, Locantore N, Yates J, et al. . Inflammatory biomarkers improve clinical prediction of mortality in chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2012; 185: 1065–1072. doi:10.1164/rccm.201110-1792OC
    1. Rodriguez BL, Masaki K, Burchfiel C, et al. . Pulmonary function decline and 17-year total mortality: the Honolulu Heart Program. Am J Epidemiol 1994; 140: 398–408. doi:10.1093/oxfordjournals.aje.a117262
    1. Mannino DM, Reichert MM, Davis KJ. Lung function decline and outcomes in an adult population. Am J Respir Crit Care Med 2006; 173: 985–990. doi:10.1164/rccm.200508-1344OC
    1. Casanova C, Agruirre-Jaíme A, de Torres J, et al. . Longitudinal assessment in COPD patients: multidimensional variability and outcomes. Eur Respir J 2014; 43: 745–753. doi:10.1183/09031936.00096913
    1. Müllerova H, Maselli DJ, Locantore N, et al. . Hospitalized exacerbations of COPD: risk factors and outcomes in the ECLIPSE cohort. Chest 2015; 147: 999–1007. doi:10.1378/chest.14-0655
    1. Soler-Cataluña JJ, Martínez-García MA, Román Sánchez P, et al. . Severe acute exacerbations and mortality in patients with chronic obstructive pulmonary disease. Thorax 2005; 60: 925–931. doi:10.1136/thx.2005.040527
    1. Calverley PM, Anzueto AR, Dusser D, et al. . Treatment of exacerbations as a predictor of subsequent outcomes in patients with COPD. Int J Chron Obstruct Pulmon Dis 2018; 13: 1297–1308. doi:10.2147/COPD.S153631
    1. Martinez FJ, Han MK, Andrei AC, et al. . Longitudinal change in the BODE index predicts mortality in severe emphysema. Am J Respir Crit Care Med 2008; 178: 491–499. doi:10.1164/rccm.200709-1383OC
    1. Antonelli-Incalzi R, Pedone C, Scarlata S, et al. . Correlates of mortality in elderly COPD patients: focus on health-related quality of life. Respirology 2009; 14: 98–104. doi:10.1111/j.1440-1843.2008.01441.x
    1. Jones PW. St. George's Respiratory Questionnaire: MCID. COPD 2005; 2: 75–79. doi:10.1081/COPD-200050513
    1. Agustí A, Edwards LD, Rennard SI, et al. . Persistent systemic inflammation is associated with poor clinical outcomes in COPD: a novel phenotype. PLoS One 2012; 7: e37483. doi:10.1371/journal.pone.0037483
    1. Han MK, Tayob N, Murray S, et al. . Association between emphysema and chronic obstructive pulmonary disease outcomes in the COPDGene and SPIROMICS cohorts: a post hoc analysis of two clinical trials. Am J Respir Crit Care Med 2018; 198: 265–267. doi:10.1164/rccm.201801-0051LE
    1. Zulueta JJ, Wisnivesky JP, Henschke CI, et al. . Emphysema scores predict death from COPD and lung cancer. Chest 2012; 141: 1216–1223. doi:10.1378/chest.11-0101
    1. Lange P, Celli B, Agustí A, et al. . Lung-function trajectories leading to chronic obstructive pulmonary disease. N Engl J Med 2015; 373: 111–122. doi:10.1056/NEJMoa1411532
    1. Agusti A, Faner R. Lung function trajectories in health and disease. Lancet Respir Med 2019; 7: 358–364. doi:10.1016/S2213-2600(18)30529-0
    1. Calverley PM, Anderson JA, Celli B, et al. . Salmeterol and fluticasone propionate and survival in chronic obstructive pulmonary disease. N Engl J Med 2007; 356: 775–789. doi:10.1056/NEJMoa063070
    1. Tashkin DP, Celli B, Senn S, et al. . A 4-year trial of tiotropium in chronic obstructive pulmonary disease. N Engl J Med 2008; 359: 1543–1554. doi:10.1056/NEJMoa0805800
    1. Vestbo J, Anderson JA, Brook RD, et al. . Fluticasone furoate and vilanterol and survival in chronic obstructive pulmonary disease with heightened cardiovascular risk (SUMMIT): a double-blind randomised controlled trial. Lancet 2016; 387: 1817–1826. doi:10.1016/S0140-6736(16)30069-1
    1. Rønnow SR, Langholm LL, Sand JMB, et al. . Specific elastin degradation products are associated with poor outcome in the ECLIPSE COPD cohort. Sci Rep 2019; 9: 4064. doi:10.1038/s41598-019-40785-2

Source: PubMed

3
Abonnieren