Cardiac arrhythmias encompass a range of conditions characterized by abnormal heart rhythms, affecting millions globally and significantly contributing to morbidity and mortality. This review provides a comprehensive analysis of the current practices and emerging therapies in managing cardiac arrhythmias, covering their definition, classification, epidemiology, and the critical importance of effective management. It explores the pathophysiology underlying various arrhythmias, including the mechanisms of arrhythmogenesis, such as re-entry, automaticity, and triggered activity. The review details the latest diagnostic tools, including ECG, Holter monitoring, and electrophysiological studies, and discusses the clinical presentation of different arrhythmias, from supraventricular to ventricular types and bradyarrhythmias. We examine current pharmacological and non-pharmacological treatment strategies, such as antiarrhythmic drugs, catheter ablation, and device therapy, highlighting their efficacy and limitations. Furthermore, the review delves into emerging therapies, including advanced catheter ablation techniques, novel antiarrhythmic agents, gene therapy, and innovative device technologies like leadless pacemakers and subcutaneous implantable cardioverter-defibrillators (ICDs). Special considerations for managing arrhythmias in diverse populations, including pediatrics, the elderly, and pregnant women, are discussed. Additionally, the review explores future directions in arrhythmia management, emphasizing personalized medicine, artificial intelligence applications, and the integration of advanced technologies in diagnosis and treatment. By synthesizing current knowledge and prospects, this review aims to enhance understanding and promote advancements in the field, ultimately improving patient outcomes with cardiac arrhythmias.

This study evaluated the role of the mesenchymal stem cells derived from adipose tissue (MSCs) in provoked ventricular arrhythmias (VAs) in animals with myocardial infarction (MI). The experimental groups were: sham, subjected to sham surgery and intramyocardial saline injection; MIV, infarcted rats subjected to intramyocardial saline injection; MI + MSCs, infarcted rats subjected to intramyocardial MSCs injection. Injections were performed two days after infarction and the arrhythmogenic inducibility experiment was performed the next day. Only 35% of the MI + MSCs group developed VAs, while the one in the MIV group was 65%. The proportion of nonsustained ventricular tachycardia, sustained tachycardia, and ventricular fibrillation was similar between the infarcted groups, but MSCs animals had shorter duration of nonsustained ventricular tachycardia. However, MSCs increased connexin 43 content in the remote area, even above the levels found in the sham group. MSCs prevented the increase of IL-1β in the different areas of the myocardium. There was higher carbonylation and content of 4-hydroxynonenal (4-HNE, a marker of lipoperoxidation) in the myocardium of infarcted rats, but MSCs attenuated the increase of 4-HNE in the infarcted area. In conclusion, MSCs have a protective effect against the development of arrhythmias, but do not imply a significant benefit for animals that have developed VAs. It is possible to think that the cardioprotection of MSCs involves anti-inflammatory/oxidative actions and improvement in the formation of communicating junctions.Graphical abstract.

UNASSIGNED: SARS-CoV-2 represents one of the most extensively researched pathogens in the last decade due to its major impact on humanity. Not only does this viral infection cause respiratory disturbances, but it also generates cardiovascular injury. Cardiac arrhythmias represent one of the main consequences of SARS-CoV-2 infection, but they can also occur in the context of antiviral treatment. Furthermore, arrhythmias do not always seem to be correlated with the severity of the lung injury. However, they represent a poor prognostic factor in terms of mortality, increasing the need for intensive care and the length of hospitalization.
UNASSIGNED: In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 Statement, from September 2022 to October 2023, we conducted this study by examining the literature through the PubMed database using the following keywords: COVID-19, cardiac arrhythmias, and, in terms of study design, observational studies.
UNASSIGNED: We initially identified 266 studies across PubMed. After applying the inclusion/exclusion criteria, we managed to include 22 studies in our review.
UNASSIGNED: Deducing the pathophysiological mechanisms behind SARS-CoV-2\'s ability to disrupt the electrical activity of the heart, as well as identifying associated risk factors in patients with SARS-CoV-2 infection, could allow targeted therapeutic interventions to decrease the risk of mortality in hospitalized patients.

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BACKGROUND: A nomogram is a visualized clinical prediction models, which offer a scientific basis for clinical decision-making. There is a lack of reports on its use in predicting the risk of arrhythmias in trauma patients. This study aims to develop and validate a straightforward nomogram for predicting the risk of arrhythmias in trauma patients.
METHODS: We retrospectively collected clinical data from 1119 acute trauma patients who were admitted to the Advanced Trauma Center of the Affiliated Hospital of Zunyi Medical University between January 2016 and May 2022. Data recorded included intra-hospital arrhythmia, ICU stay, and total hospitalization duration. Patients were classified into arrhythmia and non-arrhythmia groups. Data was summarized according to the occurrence and prognosis of post-traumatic arrhythmias, and randomly allocated into a training and validation sets at a ratio of 7:3. The nomogram was developed according to independent risk factors identified in the training set. Finally, the predictive performance of the nomogram model was validated.
RESULTS: Arrhythmias were observed in 326 (29.1%) of the 1119 patients. Compared to the non-arrhythmia group, patients with arrhythmias had longer ICU and hospital stays and higher in-hospital mortality rates. Significant factors associated with post-traumatic arrhythmias included cardiovascular disease, catecholamine use, glasgow coma scale (GCS) score, abdominal abbreviated injury scale (AIS) score, injury severity score (ISS), blood glucose (GLU) levels, and international normalized ratio (INR). The area under the receiver operating characteristic curve (AUC) values for both the training and validation sets exceeded 0.7, indicating strong discriminatory power. The calibration curve showed good alignment between the predicted and actual probabilities of arrhythmias. Decision curve analysis (DCA) indicated a high net benefit for the model in predicting arrhythmias. The Hosmer-Lemeshow goodness-of-fit test confirmed the model\'s good fit.
CONCLUSIONS: The nomogram developed in this study is a valuable tool for accurately predicting the risk of post-traumatic arrhythmias, offering a novel approach for physicians to tailor risk assessments to individual patients.

Neurodevelopmental disorders have been linked to numerous genes, particularly pathogenic variants in genes encoding postsynaptic scaffolding proteins, like SHANK3. This study aims to provide insights into the cardiovascular profile of patients with pathogenic SHANK3 variants, expanding beyond the well-established associations with neurodevelopmental disorders and epilepsy. We conducted a prospective study involving patients affected by neurodevelopmental disorders with pathogenic SHANK3 variants. Comprehensive cardiovascular assessments were performed and molecular genetic testing included chromosomal microarray followed by clinical exome sequencing. We identified five patients with de novo SHANK3 variants, all of whom exhibited cardiac involvement, including myocardial dysfunction, congenital heart disease (patent ductus arteriosus), and a case of postictal atrial fibrillation. Our findings emphasize an elevated risk of cardiovascular abnormalities in patients with SHANK3 pathogenic variants compared to prior reports. Despite their young age, these patients displayed significant cardiac abnormalities. The study highlights the necessity of integrating cardiac evaluation and ongoing cardiovascular monitoring into multidisciplinary care, facilitating early detection of heart failure and assessment of the risk of sudden unexpected death in epilepsy (SUDEP). Further research is needed to elucidate the underlying mechanisms of cardiac manifestations in SHANK3 mutation carriers.

Dental therapists encounter patients with various systemic diseases of which cardiovascular disease (CVD) patients form a significant segment. Relation between oral health and cardiac diseases has been well established. Common cardiac disorders encountered in a dental practice include arterial hypertension, heart failure, ischemic heart disease, cardiac arrhythmias, infective endocarditis, stroke, and cardiac pacemaker. Patients with CVDs pose a significant challenge to dental therapy. These patients need special considerations and an adequate understanding of the underlying cardiovascular condition to provide safe and effective dental treatment. Based on the cardiac condition, an appropriate modification in dental care is crucial. A multidisciplinary approach including the patient\'s cardiologist can potentially reduce complications and improve dental treatment results. This review aims at unfolding the risks associated with the dental management of a cardiac patient and outlines the measures to be undertaken for optimum dental treatment.

Cardiac arrhythmias are associated with significant morbidity, mortality and poor quality of life. Cardiovascular magnetic resonance (CMR) imaging, with its unsurpassed capability of non-invasive tissue characterisation, high accuracy, and reproducibility of measurements, plays an integral role in determining the underlying aetiology of cardiac arrhytmias. CMR can reliably diagnose previous myocardial infarction, non-ischemic cardiomyopathy, characterise congenital heart disease and valvular pathologies, and also detect the underlying substrate concealed on conventional investigations in a significant proportion of patients with arrhythmias. Determining the underlying substrate of arrhythmia is of paramount importance for treatment planning and prognosis. However, CMR imaging in patients with irregular heart rates can be problematic. Understanding the different ways to overcome the limitations of CMR in arrhythmia is essential for providing high-quality imaging, comprehensive information, and definitive answers in this diverse group of patients.

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