Literature DB >> 28214081

FEV1 and FVC predict all-cause mortality independent of cardiac function - Results from the population-based Gutenberg Health Study.

Christina Magnussen1, Francisco M Ojeda2, Nargiz Rzayeva2, Tanja Zeller2, Christoph R Sinning2, Norbert Pfeiffer3, Manfred Beutel4, Maria Blettner5, Karl J Lackner6, Stefan Blankenberg2, Thomas Münzel7, Klaus F Rabe8, Philipp S Wild9, Renate B Schnabel2.   

Abstract

BACKGROUND: Lung function has previously been related to increased mortality. Whether pulmonary impairment is associated with an increased mortality independent of cardiac dysfunction remains unclear.
METHODS: In 15010 individuals from the general population (age range 35-74years, 51% men) in the Gutenberg Health Study we performed spirometry and transthoracic echocardiography. N-terminal pro-B-type natriuretic peptide (Nt-proBNP) and high-sensitive troponin I (hsTnI) were measured in all individuals. 1819 individuals with pulmonary diseases were excluded from further analysis.
RESULTS: The median for forced expiratory volume in 1s (FEV1) was 94.2% and for forced vital capacity (FVC) 94.2% as a percentage of their predicted values. The median FEV1/FVC ratio was 79.1%. In 13191 subjects, 335 deaths were verified from death certificate over a median follow-up of 5.5years. Multivariable-adjusted Cox regression analyses for common cardiovascular risk factors and heart failure revealed that an increase of one standard deviation (SD) of percent predicted (%pred.) FEV1 was associated with a 22% risk reduction (hazard ratio [HR] per SD 0.78 [95% confidence interval (CI): 0.70, 0.86]). The association remained statistically significant after additional adjustment for diastolic dysfunction, Nt-proBNP or hsTnI. Comparable results were seen for %pred. FVC. After adjustment, no association of FEV1/FVC ratio with mortality could be shown. No significant interaction by heart failure was observed.
CONCLUSIONS: The lung function parameters FEV1 and FVC, but not FEV1/FVC ratio, were related to all-cause mortality in individuals from the general population independent of cardiac function.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomarkers; Cardiac function; FEV1; FVC; Mortality; Population-based study

Mesh:

Substances:

Year:  2017        PMID: 28214081     DOI: 10.1016/j.ijcard.2017.02.012

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  14 in total

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