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

COPD COSYCONET cohort chronic obstructive pulmonary disease clinical respiratory medicine cytokine hyperinflation inflammation respiratory function tests

Journal

Respirology (Carlton, Vic.)
ISSN: 1440-1843
Titre abrégé: Respirology
Pays: Australia
ID NLM: 9616368

Informations de publication

Date de publication:
24 Oct 2024
Historique:
received: 12 06 2024
accepted: 02 10 2024
medline: 25 10 2024
pubmed: 25 10 2024
entrez: 24 10 2024
Statut: aheadofprint

Résumé

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 (FEV 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. Increased risk of 18-54-month mortality was linked to decrease in KCO % predicted (7.5% increments) and FEV In a multicentric cohort of COPD, new markers of current disease activity predicted mid-term mortality and could not be anticipated by baseline biomarkers.

Sections du résumé

BACKGROUND AND OBJECTIVE 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 (FEV
METHODS 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 RESULTS
Increased risk of 18-54-month mortality was linked to decrease in KCO % predicted (7.5% increments) and FEV
CONCLUSION CONCLUSIONS
In a multicentric cohort of COPD, new markers of current disease activity predicted mid-term mortality and could not be anticipated by baseline biomarkers.

Identifiants

pubmed: 39448064
doi: 10.1111/resp.14843
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Von-Behring-Röntgen-Stiftung
ID : 66-LV07
Organisme : Hessisches Ministerium für Wissenschaft und Kunst (LOEWE Habitat)
Organisme : Deutsche Forschungsgemeinschaft
ID : SFB/TR-84 TP C01
Organisme : Deutsches Zentrum für Lungenforschung
ID : 82DZLI05C2
Organisme : Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research; BMBF)
ID : FKZ 01ZZ2318A
Organisme : Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research; BMBF)
ID : 01 GI 0881
Organisme : PermedCOPD
ID : FKZ 01EK2203A
Organisme : ERACoSysMed2-SysMed-COPD
ID : FKZ 031L0140

Investigateurs

Stefan Andreas (S)
Robert Bals (R)
Jürgen Behr (J)
Kathrin Kahnert (K)
Thomas Bahmer (T)
Burkhard Bewig (B)
Ralf Ewert (R)
Beate Stubbe (B)
Joachim H Ficker (JH)
Christian Grohé (C)
Matthias Held (M)
Markus Henke (M)
Felix Herth (F)
Anne-Marie Kirsten (AM)
Henrik Watz (H)
Rembert Koczulla (R)
Juliane Kronsbein (J)
Cornelia Kropf-Sanchen (C)
Christian Herzmann (C)
Michael Pfeifer (M)
Winfried J Randerath (WJ)
Werner Seeger (W)
Michael Studnicka (M)
Christian Taube (C)
Hartmut Timmermann (H)
Peter Alter (P)
Bernd Schmeck (B)
Claus Vogelmeier (C)
Tobias Welte (T)
Hubert Wirtz (H)

Informations de copyright

© 2024 The Author(s). Respirology published by John Wiley & Sons Australia, Ltd on behalf of Asian Pacific Society of Respirology.

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Auteurs

Hendrik Pott (H)

Department of Medicine, Pulmonary and Critical Care Medicine, Clinic for Airway Infections, University Medical Centre Marburg, Philipps-University Marburg, Marburg, Germany.

Barbara Weckler (B)

Department of Medicine, Pulmonary and Critical Care Medicine, Clinic for Airway Infections, University Medical Centre Marburg, Philipps-University Marburg, Marburg, Germany.

Swetlana Gaffron (S)

Viscovery Gmbh, Vienna, Austria.

Roman Martin (R)

Heinrich Heine University Düsseldorf, Machine Learning for Medical Data, Institute for Computer Science, Düsseldorf, Germany.

Dieter Maier (D)

Labvantage-Biomax GmbH, Munich, Germany.

Peter Alter (P)

Department of Medicine, Pulmonary and Critical Care Medicine, University of Marburg (UMR), Member of the German Centre for Lung Research [DZL], Marburg, Germany.

Frank Biertz (F)

CAPNETZ Foundation, Medical University Hannover, Hannover, Germany.

Tim Speicher (T)

Department of Medicine, Pulmonary and Critical Care Medicine, University of Marburg (UMR), Member of the German Centre for Lung Research [DZL], Marburg, Germany.

Wilhelm Bertrams (W)

Institute for Lung Research, Universities of Giessen and Marburg Lung Centre, Philipps-University Marburg, Marburg, Germany.

Anna Lena Jung (AL)

Institute for Lung Research, Universities of Giessen and Marburg Lung Centre, Philipps-University Marburg, Marburg, Germany.
German Center for Lung Research (DZL), Marburg, Germany.

Katrin Laakmann (K)

Institute for Lung Research, Universities of Giessen and Marburg Lung Centre, Philipps-University Marburg, Marburg, Germany.

Dominik Heider (D)

Institute for Medical Informatics, University of Münster, Münster, Germany.

Miel Wouters (M)

Maastricht University Medical Centre, Maastricht, the Netherlands and Sigmund Freud Private University, Vienna, Austria.

Claus F Vogelmeier (CF)

Department of Medicine, Pulmonary and Critical Care Medicine, University of Marburg (UMR), Member of the German Centre for Lung Research [DZL], Marburg, Germany.

Bernd Schmeck (B)

Department of Medicine, Pulmonary and Critical Care Medicine, Clinic for Airway Infections, University Medical Centre Marburg, Philipps-University Marburg, Marburg, Germany.
Institute for Lung Research, Universities of Giessen and Marburg Lung Centre, Philipps-University Marburg, Marburg, Germany.
Member of the German Centre for Lung Research (DZL) and German Centre of Infectious Disease Research, Marburg, Germany.

Classifications MeSH