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Observational Study
. 2025 Feb;30(2):134-146.
doi: 10.1111/resp.14843. Epub 2024 Oct 24.

Diffusion capacity and static hyperinflation as markers of disease progression predict 3-year mortality in COPD: Results from COSYCONET

Collaborators, Affiliations
Observational Study

Diffusion capacity and static hyperinflation as markers of disease progression predict 3-year mortality in COPD: Results from COSYCONET

Hendrik Pott et al. Respirology. 2025 Feb.

Abstract

Background and objective: Chronic obstructive pulmonary disease (COPD) exhibits diverse patterns of disease progression, due to underlying disease activity. We hypothesized that changes in static hyperinflation or KCO % predicted would reveal subgroups with disease progression unidentified by preestablished markers (FEV1, SGRQ, exacerbation history) and associated with unique baseline biomarker profiles. We explored 18-month measures of disease progression associated with 18-54-month mortality, including changes in hyperinflation parameters and transfer factor, in a large German COPD cohort.

Methods: Analysing data of 1364 patients from the German observational COSYCONET-cohort, disease progression and improvement patterns were assessed for their impact on mortality via Cox hazard regression models. Association of biomarkers and COPD Assessment test items with phenotypes of disease progression or improvement were evaluated using logistic regression and random forest models.

Results: Increased risk of 18-54-month mortality was linked to decrease in KCO % predicted (7.5% increments) and FEV1 (20 mL increments), increase in RV/TLC (2% increments) and SGRQ (≥6 points), and an exacerbation grade of 2 at 18 months. Decrease in KCO % predicted ≥7.5% and an increase of RV/TLC ≥2% were the most frequent measures of 18-month disease progression occurring in ~52% and ~46% of patients, respectively. IL-6 and CRP thresholds exhibited significant associations with medium- and long-term disease measures.

Conclusion: In a multicentric cohort of COPD, new markers of current disease activity predicted mid-term mortality and could not be anticipated by baseline biomarkers.

Keywords: COPD; COSYCONET cohort; chronic obstructive pulmonary disease; clinical respiratory medicine; cytokine; hyperinflation; inflammation; respiratory function tests.

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Conflict of interest statement

B. W. reports a relationship with AstraZeneca GmbH that includes: board membership. S. G. reports consulting fees by Viscovery Software GmbH. D. M. reports support for the present manuscript by Labvantage‐Biomax GmbH and the German Federal Ministry for Education and Research (BMBF): PermedCOPD and ERACoSysMed2. D. H. reports financial support was provided by the German Federal Ministry for Education and Research (BMBF): PERMED. A. L. J. reports support for the present manuscript by the hessian Ministry of Science and art (LOEWE research cluster ‘Diffusible Signals’). A. L. J. reports grants by the Behring‐Röntgen‐Foundation: CORESIST‐Kp. C. F. V. reports grants or contracts from the German Ministry of Education and Science, as well as AstraZeneca, Boehringer Ingelheim, Chiesi, CSL Behring, GlaxoSmithKline, Grifols and Novartis. C. F. V. reports consulting fees by Aerogen, AstraZeneca, Boehringer Ingelheim, CSL‐Behring, Chiesi, GlaxoSmithKline, Insmed, Menarini, Novartis, Nuvaira and Sanofa. C. F. V. reports payment or honoraria by Aerogen, AstraZeneca, Boehringer Ingelheim, CSL Behring, Chiesi, GlaxoSmithKline, Insmed, Menarini, Novartis, Roche and Sanofi. B. S. reports support for the manuscript provided by the German Federal Ministry for Education and Research (BMBF): Medical Informatics Initiatives MIRACUM and CALM‐QE as well as German Center for Lung Research (DZL) and PermedCOPD. B. S. reports grants from CSL Behring. H. P., R. M., P. A., F. B., T. S., W. B., K. L., E. W. state no conflicts of interests to declare.

Figures

FIGURE 1
FIGURE 1
Disease progression at month 18 in COSYCONET. One thousand and twenty six patients completing 18‐months follow‐up were examined for changes in selected markers. Combinations were given in an upset plot with baseline FEV1% predicted and KCO % predicted as catplots. ΔSGRQ ≥ + 6: increase of at least 6 points of SGRQ; ΔRV/TLC ≥ + 0.02: increase of RV/TLC by at least 0.02; ΔFEV1 ≥ + 150 mL: decrease of FEV1 by at least 150 mL; ΔKCO% ≥ + 7.5%: decrease of KCO % predicted by at least 7.5%; 18‐mo EXA‐grade = 2: hospitalization for acute exacerbation in the last 12 months FEV1, forced expiratory volume in the first second; KCO, CO transfer coefficient; RV/TLC, residual volume/total lung capacity; SGRQ, St. George's Respiratory Questionnaire.

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