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Название: | Biomarkers of Atrial Fibrillation Recurrence in Patients with Paroxysmal or Persistent Atrial Fibrillation Following External Direct Current Electrical Cardioversion |
Авторы: | Demirel, Ozan Berezin, A. E. Mirna, Moritz Boxhammer, Elke Gharibeh, Sarah Hoppe, Uta Lichtenauer, Michael Березін, Олександр Євгенійович |
Ключевые слова: | atrial fibrillation electrical cardioversion post-procedural complications biomarkers |
Дата публикации: | 2023 |
Библиографическое описание: | Biomarkers of Atrial Fibrillation Recurrence in Patients with Paroxysmal or Persistent Atrial Fibrillation Following External Direct Current Electrical Cardioversion / O. Demirel, A. E. Berezin, M. Mirna, E. Boxhammer, S. X. Gharibeh, U. C. Hoppe, M. Lichtenauer // Biomedicines. - 2023. - Vol. 11, N 5. - P. 1452. - https://doi.org/10.3390/biomedicines11051452. |
Аннотация: | Atrial fibrillation (AF) is associated with atrial remodeling, cardiac dysfunction, and poor
clinical outcomes. External direct current electrical cardioversion is a well-developed urgent treatment
strategy for patients presenting with recent-onset AF. However, there is a lack of accurate predictive
serum biomarkers to identify the risks of AF relapse after electrical cardioversion. We reviewed
the currently available data and interpreted the findings of several studies revealing biomarkers for
crucial elements in the pathogenesis of AF and affecting cardiac remodeling, fibrosis, inflammation,
endothelial dysfunction, oxidative stress, adipose tissue dysfunction, myopathy, and mitochondrial
dysfunction. Although there is ample strong evidence that elevated levels of numerous biomarkers
(such as natriuretic peptides, C-reactive protein, galectin-3, soluble suppressor tumorigenicity-2,
fibroblast growth factor-23, turn-over collagen biomarkers, growth differential factor-15) are associated
with AF occurrence, the data obtained in clinical studies seem to be controversial in terms of
their predictive ability for post-cardioversion outcomes. Novel circulating biomarkers are needed to
elucidate the modality of this approach compared with conventional predictive tools. Conclusions:
Biomarker-based strategies for predicting events after AF treatment require extensive investigation in
the future, especially in the presence of different gender and variable comorbidity profiles. Perhaps,
a multiple biomarker approach exerts more utilization for patients with different forms of AF than
single biomarker use. |
URI: | http://dspace.zsmu.edu.ua/handle/123456789/19016 |
Располагается в коллекциях: | Наукові праці. (ВХ-2)
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