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Premature ventricular complexes (PVCs) are common in the general population, usuallyasymptomatic, and deemed to be benign in structurally normal hearts. The spectrum of “benign” outflow tract PVCs ranges from single PVCs to recurrent non-sustained ventricular tachycardia (NSVT). Short-coupled right ventricular outflow tract (RVOT) PVCs may trigger polymorphic ventricular tachycardia (VT) in some patients and can be high risk. In many patients, PVCs can be morefrequent and cause symptoms ofpalpitations, shortness of breath, dizziness, and heart failure.In the presence of underlying heart disease, they may indicate an increasedrisk of adverse cardiovascular outcomes. A high PVC burdenmay lead to ventricular dysfunction and worsen underlying cardiomyopathy.PVCs may also be a marker of underlying pathophysiologic processes such as myocarditisand other acquired and inherited infiltrative cardiomyopathies. In this unique case report, we describe the use of a novel non-contact mapping array for mapping RVOT PVCs.

BACKGROUND: Smartphone technologies have been recently developed to assess heart rate and rhythm, but their role in accurately detecting atrial fibrillation (AF) remains unknown. OBJECTIVE: We sought to perform a meta-analysis using prospective studies comparing Smartwatch technology with current monitoring standards for AF detection (ECG, Holter, Patch Monitor, ILR). METHODS: We performed a comprehensive literature search for prospective studies comparing Smartwatch technology simultaneously with current monitoring standards (ECG, Holter, and Patch monitor) for AF detection since inception to November 25th, 2019. The outcome studied was the accuracy of AF detection. Accuracy was determined with concomitant usage of ECG monitoring, Holter monitoring, loop recorder, or patch monitoring. RESULTS: A total of 9 observational studies were included comparing smartwatch technology, 3 using single-lead ECG monitoring, and six studies using photoplethysmography with routine AF monitoring strategies. A total of 1559 patients were enrolled (mean age 63.5 years, 39.5% had an AF history). The mean monitoring time was 75.6 days. Smartwatch was non-inferior to composite ECG monitoring strategies (OR 1.06, 95% CI 0.93 – 1.21, p=0.37), composite 12 lead ECG/Holter monitoring (OR 0.90, 95% CI 0.62 – 1.30, p=0.57) and patch monitoring (OR 1.28, 95% CI 0.84 - 1.94, p=0.24) for AF detection. The sensitivity and specificity for AF detection using a smartwatch was 95% and 94%, respectively. CONCLUSIONS: Smartwatch based single-lead ECG and photoplethysmography appear to be reasonable alternatives for AF monitoring.

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Objectives: The aim of the this study was to investigate the relationship between the degree of mitral regurgitation (MR), left ventricular (LV) dysfunction determined by strain (S)/strain rate (SR) imaging and plasma brain natriuretic peptide (BNP) levels. Materials and methods: This is an observational cross- sectional study which included 31 consecutive patients (15[48.4%] male) who had applied to our outpatient clin- ics and diagnosed as mitral regurgitation and 25 (12 [48.0%] male) healthy persons as control subjects. The mitral regurgitation patients were divided into two groups: those with moderate MR (n=14[45.2%]) and those with severe MR (n=17[54.8%]), and maximum strain / strain rate measurements of left ventricular wall segments and plasma brain natriuretic peptide levels were determined in these two groups and controls. Results: S/SR values of all wall segments of left ventricle were found to be decreased in patient with severe MR when compared with the control subjects and patients with moderate MR (p