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Midregional proatrial naturetic peptide (MRproANP) and copeptin (COPAVP) as predictors of all-cause mortality in recently diagnosed mild to moderate COPD—results from COSYCONET

Authors :
S. Fähndrich
C. Herr
S. Teuteberg
P. Alter
S. Söhler
D. Soriano
J. Classen
J. Adams
V. Weinhold
H. Watz
B. Waschki
T. Zeller
M. Eichenlaub
F. C. Trudzinski
J. D. Michels
A. Omlor
F. Seiler
I. Moneke
F. Biertz
D. Stolz
T. Welte
H. U. Kauczor
K. Kahnert
R. A. Jörres
C. F. Vogelmeier
R. Bals
the German COSYCONET Cohort
Source :
Respiratory Research, Vol 25, Iss 1, Pp 1-9 (2024)
Publication Year :
2024
Publisher :
BMC, 2024.

Abstract

Abstract Background MRproANP and COPAVP are prognostic markers for mortality in chronic obstructive pulmonary disease (COPD). Furthermore, these biomarkers predict mortality due to cardiovascular diseases, which are important prognostically determining comorbidities in patients with COPD. However, less is known about these biomarkers in recently diagnosed mild to moderate COPD. Therefore, we analyzed these biomarkers as potential predictors of mortality in recently diagnosed mild to moderate COPD. Methods The blood biomarkers considered were copeptin (COPAVP), midregional adrenomedullin (MRproADM), midregional proatrial naturetic peptide (MRproANP), and fibrinogen. Analyses were performed in patients with stable “recently diagnosed mild to moderate COPD” defined by GOLD grades 0–2 and diagnosis of COPD ≤ 5 years prior to inclusion into the COSYCONET cohort (COPD and Systemic Consequences—Comorbidities Network), using Cox regression analysis with stepwise adjustment for multiple COPD characteristics, comorbidities, troponin and NT-proBNP. Results 655 patients with recently diagnosed mild to moderate COPD were included. In the initial regression model, 43 of 655 patients died during the 6-year follow-up, in the final model 27 of 487. Regression analyses with adjustment for confounders identified COPAVP and MRproANP as statistically robust biomarkers (p

Details

Language :
English
ISSN :
1465993X
Volume :
25
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Respiratory Research
Publication Type :
Academic Journal
Accession number :
edsdoj.3c171df02cda4c2890b77d47ae62a7a4
Document Type :
article
Full Text :
https://doi.org/10.1186/s12931-024-02690-9