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Background: Low-voltage area (LVA) ablation, in addition to pulmonary vein isolation (PVI), has been proposed as a new strategy in patients with atrial fibrillation (AF), but clinical trials have shown conflicting results. We performed a systematic review and meta-analysis to assess the impact of LVA ablation in patient undergoing AF ablation (PROSPERO-registered CRD42024537696). Methods: Randomized clinical trials investigating the role of LVA ablation in addition to PVI in patients with AF were searched on PubMed, Embase, and the Cochrane Library from inception to 22 April 2024. Primary outcome was atrial arrhythmia recurrence after the first AF ablation procedure. Secondary endpoints included procedure time, fluoroscopy time, and procedure-related complication rate. Sensitivity analysis including only patients with LVA demonstration at mapping and multiple subgroups analyses were also performed. Results: 1547 patients from 7 studies were included. LVA ablation in addition to PVI reduced atrial arrhythmia recurrence (odds ratio [OR] 0.65, 95% confidence interval [CI] 0.52–0.81, p < 0.001) with a number needed to treat to prevent recurrence of 10. No difference in procedure time (mean difference [MD] −5.32 min, 95% CI −19.01–8.46 min, p = 0.45), fluoroscopy time (MD −1.10 min, 95% CI −2.48–0.28 min, p = 0.12) and complication rate (OR 0.81, 95% CI 0.40–1.61, p = 0.54) was observed. Consistent results were demonstrated when considering only patients with LVA during mapping and in prespecified subgroups for AF type (paroxysmal vs. persistent), multicentric vs. monocentric trial, and ablation strategy in control group. Conclusions: In patients with AF, ablation of LVAs in addition to PVI reduces atrial arrhythmia recurrence without a significant increase in procedure time, fluoroscopy time, or complication rate. [ABSTRACT FROM AUTHOR]

Background Although Takotsubo syndrome (TTS) is generally considered a benign disease, recent reports showed the incidence of cardiogenic shock due to left ventricular outflow tract obstruction (LVOTO), mitral regurgitation (MR), and primary pump failure was estimated to be 6–20%. Case summary A 78-year-old woman presented with chest pain and cold sweats 2 days after surgery for lung cancer. Acute coronary syndrome was suspected based on her symptoms, electrocardiography, transthoracic echocardiography (TTE), and laboratory data; thus, emergency catheterization was performed. Normal coronaries were observed, with hyperkinesis at the base of the left ventricle and akinesis at its apex, leading to the diagnosis of the apical ballooning type of TTS. Pressure differences between the apex of the left ventricle (168/8/28 mmHg) and aorta (94/50/64 mmHg) indicated the presence of LVOTO. Two days after TTS onset, she developed cardiogenic shock (blood pressure was 54/38 mmHg). Transthoracic echocardiography showed acute MR due to systolic anterior motion of the mitral valve caused by LVOTO, which was further exacerbated by paroxysmal atrial fibrillation. Fluid resuscitation, intravenous β-blockers, and amiodarone were administered for reduction of the pressure gradient in the left ventricular outflow, rate control, and sinus rhythm maintenance. Her condition improved along with the MR, thereby improving LVOTO and maintaining sinus rhythm. Discussion Takotsubo syndrome should be kept in mind as a potential cause of acute MR due to LVOTO. Catheterization and multiple follow-up TTE play a major role in early detection for this condition. [ABSTRACT FROM AUTHOR]

Objective: To analyze the relationship between Serum indoxyl sulfate (IS), lysyl oxidase-like protein 2 (LOXL2), glucose-regulated protein 94 (GRP94) and recurrence after radiofrequency catheter ablation in patients with paroxysmal atrial fibrillation (PAF). Methods: 155 patients with PAF who were underwent radiofrequency catheter ablation in our hospital from January 2020 to January 2022 were selected, and followed up for 1 year after operation. The patients were divided into non recurrence group and recurrence group according to whether PAF recurred, and the levels of serum IS, LOXL2 and GRP94 were compared between two groups, and the factors affecting recurrence after operation were analyzed by multivariate logistic regression analysis. The value of serum IS, LOXL2, GRP94 and their combination in predicting the recurrence of patients with PAF after radiofrequency catheter ablation were analyzed by ROC curve. Results: 155 patients with PAF were followed up for 1 year after operation, and 40 cases (25.81%) experienced recurrence. The duration of atrial fibrillation and left atrial diameter (LAD) in recurrence group were longer than those in non recurrence group, the proportion of New York Heart Association (NYHA) cardiac function grade III in recurrence group was higher than that in non recurrence group, and the left ventricular ejection fraction (LVEF) in recurrence group was lower than that in non recurrence group (P<0.05). The level of serum GRP94 in recurrent group was lower than that in the non recurrent group, and the levels of serum IS and LOXL2 were higher than those in non recurrent group (P<0.05). Multivariate logistic regression analysis showed that, NYHA cardiac function grade III, elevated serum IS levels, elevated serum LOXL2 levels, longer duration of atrial fibrillation, and increased LAD were risk factors for recurrence after operation (P<0.05), and elevated serum GRP94 levels and elevated LVEF were protective factors (P<0.05). The ROC curve showed that, the AUC of serum IS, LOXL2, GRP94 levels and their combination in predicting recurrence after operation were 0.764, 0.710, 0.806 and 0.853, respectively, and the AUC of the combination of the three was significantly higher than that of IS, LOXL2 and GRP94. Conclusion: The risk of recurrence after operation increased in patients with PAF with increased serum IS and LOXL2 levels and decreased GRP94 levels before radiofrequency catheter ablation, and the combination of the three can guide the clinical identification of high risk groups of recurrence after operation, and predict the risk of early recurrence after operation. [ABSTRACT FROM AUTHOR]

Background: Systemic inflammation markers have recently been identified as being associated with cardiac disorders. However, limited research has been conducted to estimate the pre-diagnostic associations between these markers and paroxysmal atrial fibrillation (PAF). Our aim is to identify potential biomarkers for early detection of PAF. Methods: 91 participants in the PAF group and 97 participants in the non-PAF group were included in this study. We investigated the correlations between three systemic inflammation markers, namely the systemic immune inflammation index (SII), system inflammation response index (SIRI), and aggregate index of systemic inflammation (AISI), and PAF. Results: The proportion of patients with PAF gradually increased with increasing logSII, logSIRI, and logAISI tertiles. Compared to those in the lowest tertiles, the PAF risks in the highest logSII and logSIRI tertiles were 3.2-fold and 2.9-fold, respectively. Conversely, there was no significant correlation observed between logAISI and PAF risk within the highest tertile of logAISI. The restricted cubic splines (RCS) analysis revealed a non-linear relationship between the elevation of systemic inflammation markers and PAF risk. Specifically, the incidence of PAF is respectively increased by 56%, 95%, and 150% for each standard deviation increase in these variables. The ROC curve analysis of logSII, logSIRI and logAISI showed that they had AUC of 0.6, 0.7 and 0.6, respectively. It also demonstrated favorable sensitivity and specificity of these systemic inflammation markers in detecting the presence of PAF. Conclusions: In conclusion, our study reveals significant positive correlations between SII, SIRI, and AISI with the incidence of PAF. [ABSTRACT FROM AUTHOR]

Background: Recent advancements in artificial intelligence (AI) have significantly improved atrial fibrillation (AF) detection using electrocardiography (ECG) data obtained during sinus rhythm (SR). However, the utility of printed ECG (pECG) records for AF detection, particularly in developing countries, remains unexplored. This study aims to assess the efficacy of an AI-based screening tool for paroxysmal AF (PAF) using pECGs during SR. Methods: We analyzed 5688 printed 12-lead SR-ECG records from 2192 patients admitted to Beijing Chaoyang Hospital between May 2011 to August 2022. All patients underwent catheter ablation for PAF (AF group) or other electrophysiological procedures (non-AF group). We developed a deep learning model to detect PAF from these printed SR-ECGs. The 2192 patients were randomly assigned to training (1972, 57.3% with PAF), validation (108, 57.4% with PAF), and test datasets (112, 57.1% with PAF). We developed an applet to digitize the printed ECG data and display the results within a few seconds. Our evaluation focused on sensitivity, specificity, accuracy, F1 score, the area under the receiver-operating characteristic curve (AUROC), and precisionrecall curves (PRAUC). Results: The PAF detection algorithm demonstrated strong performance: sensitivity 87.5%, specificity 66.7%, accuracy 78.6%, F1 score 0.824, AUROC 0.871 and PRAUC 0.914. A gradient-weighted class activation map (Grad-CAM) revealed the model’s tailored focus on different ECG areas for personalized PAF detection. Conclusions: The deep-learning analysis of printed SR-ECG records shows high accuracy in PAF detection, suggesting its potential as a reliable screening tool in real-world clinical practice. [ABSTRACT FROM AUTHOR]

Abstract Background Systemic inflammation markers have recently been identified as being associated with cardiac disorders. However, limited research has been conducted to estimate the pre-diagnostic associations between these markers and paroxysmal atrial fibrillation (PAF). Our aim is to identify potential biomarkers for early detection of PAF. Methods 91 participants in the PAF group and 97 participants in the non-PAF group were included in this study. We investigated the correlations between three systemic inflammation markers, namely the systemic immune inflammation index (SII), system inflammation response index (SIRI), and aggregate index of systemic inflammation (AISI), and PAF. Results The proportion of patients with PAF gradually increased with increasing logSII, logSIRI, and logAISI tertiles. Compared to those in the lowest tertiles, the PAF risks in the highest logSII and logSIRI tertiles were 3.2-fold and 2.9-fold, respectively. Conversely, there was no significant correlation observed between logAISI and PAF risk within the highest tertile of logAISI. The restricted cubic splines (RCS) analysis revealed a non-linear relationship between the elevation of systemic inflammation markers and PAF risk. Specifically, the incidence of PAF is respectively increased by 56%, 95%, and 150% for each standard deviation increase in these variables. The ROC curve analysis of logSII, logSIRI and logAISI showed that they had AUC of 0.6, 0.7 and 0.6, respectively. It also demonstrated favorable sensitivity and specificity of these systemic inflammation markers in detecting the presence of PAF. Conclusions In conclusion, our study reveals significant positive correlations between SII, SIRI, and AISI with the incidence of PAF.

Abstract Background It has been known that increased P wave duration and P wave dispersion reflect prolongation of intra-atrial and interatrial conduction time and the inhomogeneous propagation of sinus impulses, which are well-known electrophysiologic characteristics in patients with atrial arrhythmias and especially paroxysmal atrial fibrillation. The objective of this study was assessment of P wave dispersion value in cases with paroxysmal atrial fibrillation and its role in predicting recurrence. Results Forty-eight patients with documented paroxysmal AF were subjected to clinical evaluation, electrocardiogram and routine Doppler echocardiogram. We found that a statistically significant association was detected between P wave dispersion and older age, diabetic and hypertensive cases with positive correlation also detected with left atrial dimension (LAD), left ventricle size and diastolic dysfunction grade. Mean corrected P wave dispersion and corrected QT interval were higher among cases using sotalol, ca channel blockers, among cases using nitrates and among cases with Morris index > 0.04. Higher mean value of corrected QT was associated with biphasic P v1 shape. Old age, female sex, P wave dispersion and QT wave dispersion are statistically significant predictors of PAF recurrence. Conclusion P wave dispersion in patients with paroxysmal atrial fibrillation was strongly correlated to older age, diabetic and hypertensive patients and also with left atrial dimension (LAD), left ventricle size and diastolic dysfunction grade. Also, mean corrected P wave dispersion can predict atrial fibrillation recurrence in patients with Morris index > 0.04, old age, female sex, and QT wave dispersion.