Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain
the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in
Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles
and JavaScript.
Heart rhythm disorders, also called cardiac arrhythmias, are estimated to occur in 2% of the general population, making them one of the most prevalent heart disorders. They are associated with significant morbidity, mortality and health care costs. Atrial Fibrillation, in particular, is a major public health problem with greater than 37 million individuals affected globally and rising prevalence. It causes significant morbidity, including strokes and heart failure. Ventricular arrhythmias are estimated to cause 75% to 80% of cases of sudden cardiac death, resulting in 184,000 to 450,000 lives lost per year in the United States alone. Supraventricular tachycardias, bradyarrhythmias and other forms of conduction disease also lead to enormous healthcare burdens as a consequence of emergency room visits for acute episodes, long lasting morbidity and, in certain cases, mortality.
We welcome submission of primary research focused on heart rhythm disorders. We encourage submission of manuscripts dealing with prevention, diagnosis, monitoring and management of cardiac arrhythmias, including both non-invasive and invasive trans-catheter management. Digital technologies have started to play a major role in the modern management of cardiac arrhythmias, and we also welcome articles in this emerging field. Other article types, such as Reviews, Perspectives, and Comments that add significant insight will also be considered for inclusion in the Collection. All submissions will be subject to the same review process and editorial standards as regular Communications Medicine Articles.
Chen et al. compare effectiveness and adverse events in hypertrophic cardiomyopathy patients treated with dofetilide or sotalol. Both drugs demonstrate modest efficacy for treatment of arrhythmias and a satisfactory safety profile.
Zahedivash et al. undertake a single center retrospective analysis of patients less than 18 years of age with history of an arrhythmia to determine whether a wearable device can capture arrhythmias. Arrhythmias are identified in 28% of patients, mainly the difficult to identify supraventricular tachycardias.
Bradford, Zhang and colleagues generate a mouse model harboring a mutation that impacts PKP2 splicing and show that one-time administration of AAV-PKP2 in neonatal mice could restore PKP2 and prevent the onset of key pathological features of arrhythmogenic right ventricular cardiomyopathy, and one-time administration in adult mice could rescue the phenotype and prevent sudden death up to 4 months post treatment.
Wu, Zeng et al. assess the feasibility and efficacy of AAV9:PKP2 gene therapy in the Pkp2-cKO mouse model of arrhythmogenic right ventricular cardiomyopathy. They show that it ameliorates ventricular arrhythmias, reverses adverse right ventricular remodeling, improves heart function, and reduces mortality in this mouse model.
Holmstrom et al. train and validate a 12 lead ECG-based deep learning algorithm for sudden cardiac death risk assessment. The model accurately distinguishes sudden cardiac death cases from controls, performing better than a conventional ECG risk model.
Jin et al. develop a deep learning-based model for diagnosing arrhythmias based on a large-scale ECG dataset. The model demonstrates cardiologist-level accuracy and can potentially improve the efficiency and accuracy of ECG detection in remote and underdeveloped areas, offering a promising prospect for telemedicine.
Lin et al. develop an artificial intelligence model capable of using electrocardiograms (ECGs) to predict hyperthyroidism. This predictive model performs well at detecting overt hyperthyroidism and can also be used to assess the risk of mortality and heart failure, independent of laboratory based thyroid tests.