Biomarkers of Atrial Fibrillation Recurrence in Patients with Paroxysmal or Persistent Atrial Fibrillation Following External Direct Current Electrical Cardioversion

被引:5
作者
Demirel, Ozan [1 ]
Berezin, Alexander E. [1 ,2 ]
Mirna, Moritz [1 ]
Boxhammer, Elke [1 ]
Gharibeh, Sarah X. [1 ]
Hoppe, Uta C. [1 ]
Lichtenauer, Michael [1 ]
机构
[1] Paracelsus Med Univ Salzburg, Dept Internal Med 2, Div Cardiol, A-5020 Salzburg, Austria
[2] Zaporozhye State Med Univ, Internal Med Dept, UA-69035 Zaporozhe, Ukraine
关键词
atrial fibrillation; electrical cardioversion; post-procedural complications; biomarkers; C-REACTIVE PROTEIN; BRAIN NATRIURETIC PEPTIDE; SINUS RHYTHM RESTORATION; EMERGENCY-DEPARTMENT CARDIOVERSION; GROWTH-DIFFERENTIATION FACTOR-15; SERUM IRISIN LEVELS; HEART-FAILURE; ASYMMETRIC DIMETHYLARGININE; NT-PROBNP; ELECTROPHYSIOLOGICAL CHANGES;
D O I
10.3390/biomedicines11051452
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
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页数:27
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