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Aims: This study aimed to investigate the impact of sex on the clinical profile, utilization of rhythm control therapies, cost of hospitalization, length of stay, and in-hospital mortality in patients admitted for atrial fibrillation (AF) in the United States., Methods and Results: We used data from the Nationwide Inpatient Sample for the year 2018. Regression analysis was performed to investigate differences between men and women. A P-value ≤ 0.05 was considered significant. We included 82592 patients with a primary diagnosis of of AF 50.8% women. Women were significantly older (mean age 74 vs. 67 years, P < 0.001) and had a higher CHA2DS2-VASc score (median 4 vs. 2, P < 0.001) than men. Women had relatively higher in-hospital mortality (0.9% vs. 0.8%, P = 0.070); however, after adjustment for known risk factors female sex was no longer a predictor of mortality (P = 0.199). In sex-specific regression analyses, increased age, chronic obstructive pulmonary disease, previous stroke, heart failure, and chronic kidney disease were risk factors for in-hospital mortality in both sexes, vascular disease only in women, and race and alcohol abuse only in men. After adjusting for potential confounders, female sex was associated with lower likelihood of receiving catheter ablation [adjusted odds ratio (aOR) 0.69, 95% confidence interval (CI) 0.64-0.74] and electrical cardioversion (aOR 0.69, 95% CI 0.67-0.72), and with longer hospitalization (aOR 1.33, 95% CI 1.28-1.37), whereas sex had no influence on hospitalization costs (P = 0.339)., Conclusion: There were differences in the risk profile, management, and outcomes between men and women hospitalized for AF. Further studies are needed to explore why women are treated differently regarding rhythm control procedures., (© The Author(s) 2021. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Aims: Arrhythmogenic right ventricular cardiomyopathy (ARVC), an inherited heart muscle abnormality, is a major cause of sudden cardiac death (SCD). However, the burden of SCD and risk factors in ARVC are not clearly described. Thus, we estimated the rates and predictors of SCD in ARVC in a meta-analysis., Methods and Results: PubMed, Embase, and Web of Science were searched through 7 April 2021. Prospective studies reporting SCD from ARVC cohorts were included. Data were independently extracted by two reviewers and pooled in a random-effects meta-analysis. Fifty-two studies (n = 5485 patients) with moderate-to-low risk of bias were included. The pooled annualized rates of SCD were 0.65 per 1000 [95% confidence interval 0.00-6.43, I2 0.00%] in those with an implantable cardioverter-defibrillator (ICD) and 7.21 (2.38-13.79, I2 0.0%) in non-ICD cohorts: 7.14 in probands and 8.44 for 2010 Task Force Criteria (TFC). Multivariable predictors of life-threatening arrhythmic events including SCD were: age at presentation [adjusted hazard ratio 0.98 (0.97-0.99)], male sex [2.08 (1.29-3.36)], right ventricular (RV) dysfunction [6.99 (2.17-22.49)], QRS fragmentation [6.55 (3.33-12.90)], T-wave inversion [1.12 (1.02-1.24)], syncope at presentation [2.83 (2.40-4.08)], previous non-sustained ventricular tachyarrhythmia [2.53 (1.44-4.45)], and the TFC score [1.96 (1.02-3.76)], (P < 0.05). Predictors of appropriate ICD therapy were RV dysfunction, syncope, and inducible ventricular arrhythmia (P < 0.01)., Conclusion: This meta-analysis demonstrates a high burden of SCD in ARVC patients, especially among probands and ARVC defined by the modified TFC. Better strategies are required to improve patient management and prevent SCD in ARVC. PROSPERO ID: CRD42020211761., Competing Interests: Conflict of interest: none declared., (© The Author(s) 2022. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Recent preclinical and observational cohort studies have implicated imbalances in gut microbiota composition as a contributor to atrial fibrillation (AF). The gut microbiota is a complex and dynamic ecosystem containing trillions of microorganisms, which produces bioactive metabolites influencing host health and disease development. In addition to host-specific determinants, lifestyle-related factors such as diet and drugs are important determinants of the gut microbiota composition. In this review, we discuss the evidence suggesting a potential bidirectional association between AF and gut microbiota, identifying gut microbiota-derived metabolites as possible regulators of the AF substrate. We summarize the effect of gut microbiota on the development and progression of AF risk factors, including heart failure, hypertension, obesity, and coronary artery disease. We also discuss the potential anti-arrhythmic effects of pharmacological and diet-induced modifications of gut microbiota composition, which may modulate and prevent the progression to AF. Finally, we highlight important gaps in knowledge and areas requiring future investigation. Although data supporting a direct relationship between gut microbiota and AF are very limited at the present time, emerging preclinical and clinical research dealing with mechanistic interactions between gut microbiota and AF is important as it may lead to new insights into AF pathophysiology and the discovery of novel therapeutic targets for AF., Competing Interests: Conflict of interest: The authors have no conflict of interest., (Published on behalf of the European Society of Cardiology. All rights reserved. © The Author(s) 2021. For permissions, please email: journals.permissions@oup.com.)

Objective: To summarize data on atrial fibrillation (AF) detection rates and predictors across different rhythm monitoring strategies in patients with cryptogenic stroke (CS) or embolic stroke of undetermined source (ESUS)., Methods: MEDLINE, Embase, and Web of Science were searched to identify all published studies providing relevant data through July 6, 2020. Random-effects meta-analysis method was used to pool estimates., Results: We included 47 studies reporting on a pooled population of 8,215 patients with CS or ESUS. Using implantable cardiac monitor (ICM), the pooled rate of AF was 12.2% (95% CI 9.4-15.0) at 3 months, 16.0% (95% CI 13.2-18.8) at 6 months, 18.7% (95% CI 15.7-21.7) at 12 months, 22.8% (95% CI 19.1-26.5) at 24 months, and 28.5% (95% CI 17.6-39.3) at 36 months. AF rates were significantly higher in patients with ESUS vs CS (22.0% vs 14.2%; p  < 0.001) at 6 months, and in studies using Reveal LINQ vs Reveal XT ICM (19.1% vs 13.0%; p = 0.001) at 12 months. Using mobile cardiac outpatient telemetry (MCOT), the pooled rate of AF was 13.7% (95% CI 10.2-17.2) at 1 month. Predictors of AF detection with ICM included older age, CHA 2 DS 2 -VASc score, left atrial enlargement, P wave maximal duration and prolonged PR interval., Conclusion: The yield of ICM increases with the duration of monitoring. More than a quarter of patients with CS or ESUS will be diagnosed with AF during follow-up. About one in seven patients had AF detected within a month of MCOT, suggesting that a non-invasive rhythm monitoring strategy should be considered before invasive monitoring., Competing Interests: Dr. Sanders reports having served on the advisory board of Medtronic, Abbott Medical, Boston Scientific, CathRx and PaceMate. Dr. Sanders reports that the University of Adelaide has received on his behalf research funding, lecture and/or consulting fees from Medtronic, Abbott Medical, Boston Scientific and Microport. All other authors report no disclosures., (© 2021 The Authors.)