Subclinical impairment of the left atrium is associated with MRI-based lung volume but not with parameters from pulmonary function testing.
Heart failure with preserved ejection fraction
Population-based whole-body MRI
Subclinical cardiopulmonary impairment
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
10 09 2024
10 09 2024
Historique:
received:
15
04
2024
accepted:
21
08
2024
medline:
10
9
2024
pubmed:
10
9
2024
entrez:
9
9
2024
Statut:
epublish
Résumé
Left atrial (LA) physiology and hemodynamics are intimately connected to cardiac and lung function in health and disease. This study examined the relationship between MRI-based left atrial (LA) size and function with MRI-based lung volume and pulmonary function testing (PFT) parameters in the population-based KORA study cohort of 400 participants without overt cardiovascular disease. MRI quantification assessed LA size/function in sequences with and without ECG synchronization, alongside lung volume. Regression analysis explored the relationship of LA with MRI lung volume and PFT parameters. Among 378 participants (average age 56.3 ± 9.2 years; 42.3% women), non-gated LA size averaged 16.8 cm
Identifiants
pubmed: 39251644
doi: 10.1038/s41598-024-70777-w
pii: 10.1038/s41598-024-70777-w
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
21054Informations de copyright
© 2024. The Author(s).
Références
Lee, D. S. et al. Relation of disease pathogenesis and risk factors to heart failure with preserved or reduced ejection fraction. Circulation 119, 3070–3077 (2009).
doi: 10.1161/CIRCULATIONAHA.108.815944
pubmed: 19506115
pmcid: 2775498
Loai, S. & Cheng, H.-L.M. Heart failure with preserved ejection fraction: The missing pieces in diagnostic imaging. Heart Fail. Rev. 25, 305–319 (2020).
doi: 10.1007/s10741-019-09836-8
pubmed: 31364028
Pieske, B. et al. How to diagnose heart failure with preserved ejection fraction: the HFA–PEFF diagnostic algorithm: A consensus recommendation from the Heart Failure Association (HFA) of the European Society of Cardiology (ESC). Eur. Heart J. 40, 3297–3317 (2019).
doi: 10.1093/eurheartj/ehz641
pubmed: 31504452
Pfeffer, M. A., Shah, A. M. & Borlaug, B. A. Heart failure with preserved ejection fraction in perspective. Circ. Res. 124, 1598–1617 (2019).
doi: 10.1161/CIRCRESAHA.119.313572
pubmed: 31120821
pmcid: 6534165
Andrea, R. et al. Lung function abnormalities are highly frequent in patients with heart failure and preserved ejection fraction. Heart Lung Circ. 23, 273–279 (2014).
doi: 10.1016/j.hlc.2013.08.003
pubmed: 24021236
Huang, W.-M. et al. The role of pulmonary function in patients with heart failure and preserved ejection fraction: Looking beyond chronic obstructive pulmonary disease. PLoS ONE 15, e0235152 (2020).
doi: 10.1371/journal.pone.0235152
pubmed: 32634145
pmcid: 7340281
Chan, M. M. Y. & Lam, C. S. P. How do patients with heart failure with preserved ejection fraction die?. Eur. J. Heart Fail. 15, 604–613 (2013).
doi: 10.1093/eurjhf/hft062
pubmed: 23610137
Lecouvet, F. et al. The increasing spectrum of indications of whole-body MRI beyond oncology: Imaging answers to clinical needs. Semin. Musculoskelet. Radiol. 19, 348–362 (2015).
doi: 10.1055/s-0035-1564695
pubmed: 26583363
Bamberg, F. et al. Whole-body MR imaging in the German National Cohort: Rationale, design, and technical background. Radiology 277, 206–220 (2015).
doi: 10.1148/radiol.2015142272
pubmed: 25989618
Sudlow, C. et al. UK Biobank: An open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med. 12, e1001779 (2015).
doi: 10.1371/journal.pmed.1001779
pubmed: 25826379
pmcid: 4380465
Schlett, C. L. et al. Population-based imaging and radiomics: Rationale and perspective of the German National Cohort MRI study. RöFo-Fortschritte Auf Dem Geb. Röntgenstrahlen Bildgeb. Verfahr. 188, 652–661 (2016).
doi: 10.1055/s-0042-104510
Mueller, J. et al. Automated MR-based lung volume segmentation in population-based whole-body MR imaging: Correlation with clinical characteristics, pulmonary function testing and obstructive lung disease. Eur. Radiol. 29, 1595–1606 (2019).
doi: 10.1007/s00330-018-5659-9
pubmed: 30151641
von Krüchten, R. et al. Subclinical cardiac impairment relates to traditional pulmonary function test parameters and lung volume as derived from whole-body MRI in a population-based cohort study. Sci. Rep. 11, 16173 (2021).
doi: 10.1038/s41598-021-95655-7
Kulka, C. et al. Quantification of left atrial size and function in cardiac MR in correlation to non-gated MR and cardiovascular risk factors in subjects without cardiovascular disease: A population-based cohort study. Tomography 8, 2202–2217 (2022).
doi: 10.3390/tomography8050185
pubmed: 36136881
pmcid: 9498662
Holle, R., Happich, M., Löwel, H., Wichmann, H. E. & Group, null for the M. S. KORA—A research platform for population based health research. Gesundheitswesen 67, 19–25 (2005).
Bamberg, F. et al. Subclinical disease burden as assessed by whole-body MRI in subjects with prediabetes, subjects with diabetes, and normal control subjects from the general population: The KORA-MRI Study. Diabetes 66, 158–169 (2017).
doi: 10.2337/db16-0630
pubmed: 27999110
Luzak, A. et al. Association of physical activity with lung function in lung-healthy German adults: Results from the KORA FF4 study. BMC Pulm. Med. 17, 215 (2017).
doi: 10.1186/s12890-017-0562-8
pubmed: 29282101
pmcid: 5745968
World Medical Association. World Medical Association Declaration of Helsinki: Ethical principles for medical research involving human subjects. JAMA 310, 2191–2194 (2013).
doi: 10.1001/jama.2013.281053
World Health Organization & International Diabetes Federation. Definition and diagnosis of diabetes mellitus and intermediate hyperglycaemia : report of a WHO/IDF consultation. (2006).
Stanojevic, S. et al. ERS/ATS technical standard on interpretive strategies for routine lung function tests. Eur. Respir. J. 60, (2022).
Ivanovska, T. et al. A fast and accurate automatic lung segmentation and volumetry method for MR data used in epidemiological studies. Comput. Med. Imaging Graph. 36, 281–293 (2012).
doi: 10.1016/j.compmedimag.2011.10.001
pubmed: 22079337
Olson, T. P., Beck, K. C., Johnson, J. B. & Johnson, B. D. Competition for intrathoracic space reduces lung capacity in patients with chronic heart failure: A radiographic study. Chest 130, 164–171 (2006).
doi: 10.1378/chest.130.1.164
pubmed: 16840397
Watz, H. et al. Decreasing cardiac chamber sizes and associated heart dysfunction in COPD: Role of hyperinflation. Chest 138, 32–38 (2010).
doi: 10.1378/chest.09-2810
pubmed: 20190002
Andrea, R. et al. Pulmonary function predicts mortality and hospitalizations in outpatients with heart failure and preserved ejection fraction. Respir. Med. 134, 124–129 (2018).
doi: 10.1016/j.rmed.2017.12.004
pubmed: 29413499
Washko, G. R., Parraga, G. & Coxson, H. O. Quantitative pulmonary imaging using computed tomography and magnetic resonance imaging. Respirology 17, 432–444 (2012).
doi: 10.1111/j.1440-1843.2011.02117.x
pubmed: 22142490
pmcid: 3312990
Kauczor, H. U. et al. Assessment of lung volumes using helical CT at inspiration and expiration: Comparison with pulmonary function tests. Am. J. Roentgenol. 171, 1091–1095 (1998).
doi: 10.2214/ajr.171.4.9763003
Nacif, M. S. et al. Left atrial volume quantification using cardiac MRI in atrial fibrillation: Comparison of the Simpson’s method with biplane area-length, ellipse, and three-dimensional methods. Diagn. Interv. Radiol. https://doi.org/10.5152/dir.2012.002 (2012).
doi: 10.5152/dir.2012.002