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An atrial septal defect (ASD) is a common congenital heart anomaly that results in irregular blood flow between the systemic and pulmonary circulations due to an opening in the atrial septum. Ostium secondum ASD accounts for a large proportion of these defects and often goes unnoticed during childhood and adolescence. Pulmonary hypertension (PH), affecting a significant number of patients with ostium secondum ASD, is associated with functional limitations, heart failure, and tachyarrhythmias.

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This state-of-the-art review examines disparities in the diagnosis, management, and outcomes of cardiac arrhythmias globally. These arrhythmias include atrial fibrillation, ventricular tachyarrhythmias underlying sudden cardiac death, and bradyarrhythmias associated with sinus node and atrioventricular node disease. Arrhythmias in low- and middle-income countries often result in higher mortality rates due to complex and poorly documented risk factors, lack of clinical expertise among health care personnel, lack of sufficient infrastructure, and challenges in access to care.

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A 17-year-old patient presented with frequent palpitations, where the tachycardia was not sustained and could not be induced, making it impossible to pinpoint the earliest activation site using the activation map. However, by utilizing a dual-chamber electrogram-based pace mapping technique, we successfully identified the origin and achieved effective treatment.

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Objectives: We present a case series of patients with granulomatous myocarditis presenting as atrial arrhythmias accompanied by lymphadenopathy.

Background: Atrial myocarditis (AM) may be the cause of atrial fibrillation (AF) in patients without risk factors.

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Background: Causal machine learning (ML) provides an efficient way of identifying heterogeneous treatment effect groups from hundreds of possible combinations, especially for randomized trial data.

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