scholarly journals miR−21 and NT-proBNP Correlate with Echocardiographic Parameters of Atrial Dysfunction and Predict Atrial Fibrillation

2020 ◽  
Vol 9 (4) ◽  
pp. 1118
Author(s):  
Jan-Thorben Sieweke ◽  
Tobias Jonathan Pfeffer ◽  
Saskia Biber ◽  
Shambhabi Chatterjee ◽  
Karin Weissenborn ◽  
...  

This study aimed to investigate the association of circulating biomarkers with echocardiographic parameters of atrial remodelling and their potential for predicting atrial fibrillation (AF). In patients with and without AF (n = 21 and n = 60) the following serum biomarkers were determined: soluble ST2 (sST2), Galectin−3 (Gal-3), N-terminal pro-brain natriuretic peptide (NT-proBNP), microRNA (miR)−21, −29a, −133a, −146b and −328. Comprehensive transthoracic echocardiography was performed in all participants. Biomarkers were significantly altered in patients with AF. The echocardiographic parameter septal PA-TDI, indicating left atrial (LA) remodelling, correlated with concentrations of sST2 (r = 0.249, p = 0.048), miR−21 (r = −0.277, p = 0.012), miR−29a (r = −0.269, p = 0.015), miR−146b (r = −0.319, p = 0.004) and miR−328 (r = −0.296, p = 0.008). In particular, NT-proBNP showed a strong correlation with echocardiographic markers of LA remodelling and dysfunction (septal PA-TDI: r = 0.444, p < 0.001, LAVI/a’: r = 0.457, p = 0.001, SRa: r = 0.581, p < 0.001). Multivariate Cox regressions analysis highlighted miR−21 and NT-proBNP as predictive markers for AF (miR−21: hazard ratio (HR) 0.16; 95% confidence interval (CI) 0.04–0.7, p = 0.009; NT-proBNP: HR 1.002 95%CI 1.001–1.004, p = 0.006). Combination of NT-proBNP and miR−21 had the best accuracy to discriminate patients with AF from those without AF (area under the curve (AUC)= 0.843). Our findings indicate that miR−21 and NT-proBNP correlate with echocardiographic parameters of atrial remodeling and predict AF, in particular if combined.

Biomolecules ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1108
Author(s):  
Paweł Wałek ◽  
Urszula Grabowska ◽  
Elżbieta Cieśla ◽  
Janusz Sielski ◽  
Joanna Roskal-Wałek ◽  
...  

Galectin-3 (gal-3) is a fibrosis marker and may play a role in fibrosis of the left atrium (LA). Left atrial wall fibrosis may influence the transition from paroxysmal to non-paroxysmal atrial fibrillation (AF). In this study, we assessed the correlation of gal-3 concentration with the main echocardio-graphic parameters evaluating dimensions, volume, compliance, and left atrial contractility during AF and after successful electrical cardioversion (DCCV). The study included 63 patients with left atrial enlargement who qualified for DCCV due to persistent AF. The procedure recovered sinus rhythm in 43 (68.3%) patients. The concentration of gal-3 was negatively correlated with the echocardiographic parameters of LA including dimensions (LA length pre, rho = −0.38; p = 0.003), volume (LAV pre, rho = −0.39; p = 0.003), compliance (LASr mean post, rho = −0.33) and contractility (pLASRct mean post, rho = −0.33; p = 0.038). Negative correlations of gal-3 concentration were also observed in relation to the volume and contractility of the left ventricle. The concentration of gal-3 significantly negatively correlates with the size, systolic function, and compliance of the LA wall in patients with persistent AF. Determining gal-3 concentration in patients with persistent AF may help in the assessment of remodeling of the LA wall.


Author(s):  
Bertoni M ◽  
◽  
Traini AM ◽  
Celli A ◽  
Bini C ◽  
...  

Background: Galectin-3 (Gal-3) is considered both a profibrotic biomarker in Heart Failure with preserved Ejection Fraction (HFpEF) and a biomarker of atrial remodeling in Atrial Fibrillation (AF). The Left Atrial Volume Index (LAVI) is an echocardiographic parameter considered an index of left atrial remodeling. Aim of this study was to analyse the relation of Gal-3 levels with both LAVI and N-Terminal Pro B-Type Natriuretic Peptide (NT-proBNP) in patients with HFpEF and Persistent AF (HFpEF-PAF). Methods: Serum Gal-3 and NT-proBNP, along with LAVI were measured. A comparison of such parameters between 49 patients with HFpEF-PAF and 53 patients with HFpEF and sinus rhythm (HEpEF-SR) was made. Results: Galectin-3, NT-proBNP and LAVI were significantly higher in patients with HFpEF-PAF compared to HFpEF-SR (23±7 ng/mL vs 19.5±8.5 ng/mL, p=0.027; 3,406.8±2,321.9 pg/mL vs 1,459.6±1,372 pg/mL, p<0.001; 40.1±11mL/m² vs 28.4±7.7 mL/m², p<0.001, respectively). In HFpEF-PAF, Gal- 3 showed a significant correlation with both NT-proBNP (r=0.40, p=0.0038) and LAVI (r=0.28, p=0.044). We found a significant association between patients with higher levels of Gal-3 >17.8 ng/mL and HFpEF-PAF (p=0.002). Finally, a multivariate logistic regression analysis adjusted for age, sex and traditional clinical AF risk factors showed that Gal-3 >17,8 ng/mL (OR 3.862, 95% CI 1.416 to 10.532, p=0.008) was an independent predictor of PAF. Conclusions: In patients with HFpEF-PAF Gal-3 was higher and related with both NT-proBNP and LAVI. The latter correlation may be relevant because LAVI is considered an index of left atrial remodeling. Moreover, higher levels of Gal-3>17,8 ng/mL were an independent predictor of PAF.


2015 ◽  
Vol 42 (3) ◽  
pp. 216-225 ◽  
Author(s):  
Sung Il Im ◽  
Jin Oh Na ◽  
Sun Won Kim ◽  
Cheol Ung Choi ◽  
Jin Won Kim ◽  
...  

Structural remodeling of the left atrium is a risk factor for recurrent arrhythmia after catheter ablation for atrial fibrillation; however, data are sparse regarding the role of functional left atrial remodeling in predicting procedural outcomes. We evaluated whether left atrial transport function could be used to predict recurrent atrial fibrillation. From July 2008 through August 2010, we enrolled 202 consecutive patients who underwent catheter ablation for atrial fibrillation (paroxysmal=120, persistent=82). Left atrial volumes (LAVs) were measured by means of multislice computed tomography at every 10% of the R-R interval, and measurements were adjusted for body surface area to yield the LAV index (LAVI) at baseline. The left atrial emptying fraction (LAEF) was calculated according to LAV differences. During the mean follow-up period of 10 ± 4 months after a single ablation procedure, atrial fibrillation recurred in 59 patients (paroxysmal=19, persistent=40). Multivariate analysis revealed that persistent atrial fibrillation, early mitral inflow velocity, LAVImax, LAVImin, LAEF, LAVImax/LAEF, and LAVImin/LAEF were all independent predictors of atrial fibrillation, but the best predictor was LAVImin/LAEF (β=1.329, P=0.001). The cutoff value was 1.61 (mL/m2)/%, and the sensitivity and specificity were 74.6% and 62.2%, respectively (area under the curve=0.761). Our study shows that adjusted left atrial emptying fraction with use of multislice computed tomography might be a useful, noninvasive method to select patients for ablation.


2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Diana Hernández-Romero ◽  
Juan Antonio Vílchez ◽  
Álvaro Lahoz ◽  
Ana I. Romero-Aniorte ◽  
Eva Jover ◽  
...  

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Amir Schricker ◽  
Tina Baykaner ◽  
Junaid Zaman ◽  
Gautam Lalani ◽  
Kenneth Hopper ◽  
...  

Introduction: Targets for the ablation of atrial fibrillation (AF) are debated. In particular, recent studies questioning fractionated electrograms and lines has increased focus on AF substrates of rotors and focal impulses. These AF sources are seen in both atria, but have unknown etiology. We hypothesized that differential remodeling between the right atrium (RA), whose structural changes are largely undefined, and left atrium (LA) influence the distribution of AF sources and the outcomes from AF source ablation. Methods: In 60 patients at AF ablation (62±10 years, 60% persistent, 5% long-standing persistent), we compared size differences between RA and LA to the number of sources in each chamber and outcomes from AF source-guide ablation. We studied if a 64-pole basket differentially fit the LA or RA, judged by deformation of its splines by the atria (fig. A, B) over multiple cardiac cycles on fluoroscopy. Ablation targeted sources in both atria and was followed by PVI, with follow-up per guidelines. Results: Using baskets in both atria, 205 sources (LA 138; RA 67) were identified and ablated. Notably, the same basket in each patient was dynamically deformed by RA in 51 (85%) of cases but in the LA in only 39 (65%), indicating greater LA remodeling. The number of AF sources was higher in the presence of basket deformation of RA (n=174) than LA (n=130). LA deformation correlated with LVEF (p=0.05). Freedom from AF at 1 year was reduced in patients with no basket deformation (i.e. dilation) in LA (p=0.07) or RA (p=0.06). Notably, single procedure AF freedom was substantially lower in patients with differential remodeling (deformation in only 1 chamber) of 84% vs. 60% (fig C). Conclusions: Structural atrial remodeling influences the number of electrical rotors and focal sources in each chamber. A mismatch between right and left atrial remodeling predicts lower success from rotor ablation. These data also provide novel clinical indices of effective basket positioning.


2020 ◽  
Vol 17 (4) ◽  
pp. 49-60
Author(s):  
Maria-Luiza Toplicianu-Dimitriu ◽  
Ioan Tiberiu Nanea

AbstractAtrial fibrillation (AF) is the most common cardiac arrhythmia, with an increasing prevalence and an enormous clinical impact due to the high stroke rate, left ventricular dysfunction and excess mortality. The occurrence and maintenance of AF is favored by both the degree of left atrial (LA) dilation and the association of fibrotic lesions of the myocardium. The LA is a marker of adverse cardiovascular events in patients with AF. Atrial remodeling can be electrical (shortening atrial refractory), structural (altering geometry and altering collagen content) and contractile (loss of contractility). Cardiac imaging plays a central role in the clinical management of this arrhythmia. Echocardiography represents the routine imaging technique used in patients with AF, with a role in detecting LA dysfunction and cardiac structural changes that predispose to this arrhythmia, also having the ability to predict the maintenance of sinus rhythm after cardioversion and after ablation.


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