Active clinical trials for "Tachycardia"

"Chang Gung ECG Abnormality Detection Software" is a is an artificial intelligence medical signal analysis software that detect whether patients have abnormal ECG signals of 14 diseases by static 12-lead ECG. The 14 diseases were Long QT syndrome Sinus bradycardia Sinus Tachycardia Premature atrial complexes Premature ventricular complexes Atrial Flutter, Right bundle branch block Left bundle branch block Left Ventricular hypertrophy Anterior wall Myocardial Infarction Septal wall Myocardial Infarction Lateral wall Myocardial Infarction Inferior wall Myocardial Infarction Posterior wall Myocardial Infarction The main purpose of this study is to verify whether "Chang Gung ECG Abnormality Detection Software" can correctly identify abnormal ECG signals among patients of 14 diseases. The interpretation standard is the consensus of 3 cardiologists. The results of the software analysis will be used to evaluate the performance of the primary and secondary evaluation indicators.

Implantable cardioverter-defibrillators (ICD) are currently recommended (ESC guidelines 2015) for the primary prevention of sudden cardiac death (SCD) in patients with a remote myocardial infarction (MI) and a low (≤35%) left ventricular ejection fraction (LVEF). Ventricular tachycardia (VT) and/or ventricular fibrillation (VF), which are responsible for most SCDs, result from the presence of surviving myocytes embedded within fibrotic MI-scar. The presence of these surviving myocytes, as well as their specific arrhythmic characteristics, is not captured by LVEF. Consequently, most patients with a prophylactic ICD do not present VT/VF requiring ICD therapy prior to their first-ICD battery depletion. Thus, many patients are exposed to ICD complications, such as inappropriate shocks, without deriving any health benefit. As a consequence, the current implantation strategy of prophylactic ICDs, based on LVEF, needs to be improved in post-MI patients. Stratification of the rhythmic risk after IDM is therefore still a major public health issue. Late gadolinium enhancement cardiac magnetic resonance (LGE-MRI) is a strong risk-stratifier of VT/VF risk in post- MI patients. In a recent multicenter retrospective study, the investigators showed that the presence of a critical surface of intramural scar (which is consequently neither epicardial nor endocardial) at the infarct border (measured by LGE-MRI) has a major association with the occurrence of VT/VF in post-MI patients with a LVEF≤35%. The aim of the TVScreen 2 study is therefore to validate the relevance of the MRI criterion in a new independent cohort of patients.

Single-channel electrocardiograms (lead I of 12-lead surface ECG; 30 seconds) will be collected from subjects/patients at 11 clinical centers in Germany to train an Artificial Intelligence in the automatic diagnosis of regular and irregular heart rhythms. Heart rhythms of interest are normal sinus rhythm (SR), atrial fibrillation (AF), atrial premature beats (APBs), ventricular premature beats (VPBs), and nonsustained ventricular tachycardia (VT). Per diagnosis, 20,000 ECGs are required, for a total of 100,000 ECGs to be obtained from approximately 10,000 subjects/patients.

This study is being done to determine whether there is an increase in sympathetic nerve activity before the onset of ventricular arrhythmias or irregular heartbeat rhythm. In addition, this study is looking at the relationship between sympathetic nerve activity and how patients with ventricular arrhythmias respond to catheter ablation treatment.

The multicenter Cardiology Monitoring Platform registry (mCMP-registry) is a prospective observational registry including multi-omics (diagnostic) measurements performed as part of routine clinical care, bio-banking (optional), and yearly questionnaires (optional). It's objective is to optimize (early) diagnosis and risk-stratification of (early) cardiovascular diseases, specifically cardiomyopathy phenotypes, arrhythmias, and coronary artery disease, and to create a better understanding of underlying pathophysiological processes.

A prospective cohort study to evaluate the association between various triggers encountered in daily life and induction of atrial arrhythmias (atrial fibrillation, atrial flutter, atrial tachycardia and premature atrial contractions) with the use of long-term monitoring devices. The collected data of personalized triggers and risk factors will be used to define the individual phenotype of atrial arrhythmia.

The primary objective of this registry is to capture the real-world data on the outcome of AtriCure Isolator® Synergy™ Surgical Ablation system (or future iterations) when used to ablate cardiac tissue in patients with Inappropriate Sinus Tachycardia (IST) or Postural Tachycardia Syndrome (POTS) using sinus node sparing hybrid ablation procedures. This is an observational, retrospective and prospective, multicenter, open-label patient registry.

Postural Tachycardia Syndrome (POTS) is the most common autonomic disorder and is estimated to affect 3,000,000 individuals in the United States, with 80-85% of patients being women. The condition is characterized by a rapid increase in heart rate (HR) that occurs on standing, and chronic symptoms of cerebral hypoperfusion leading to lightheadedness, dizziness, and blurred vision. The acute hepatic porphyrias(AHP)are among the diseases that present with autonomic cardiovascular(tachycardia)and neurovisceral symptoms (abdominal pain) among others; they present with acute exacerbations Given that there is available treatment for AHP that change the natural progression of the disease, study focuses to investigate the occurrence of AHP in POTS and determine the clinical and neuro-hormonal characteristic of the POTS subgroup that will likely benefit from AHP screening. This study has one visit that involves, answering some questionnaires, coming to the lab for blood work, genetic testing, and some autonomic function tests. About 50 people will take part in this study.

Psychological distress (anxiety and depression) is common in and experienced differently by people living with long-term health conditions (LTCs). Being able to measure whether psychological distress is related to living with a LTC would allow researchers and clinicians to provide interventions specifically tailored to the challenges of living with a LTC and therefore provide the most appropriate support for these patients. Such a measure would also be useful in research to identify the presence of illness-related distress in different patient groups. This project will therefore create a new measure of illness-related distress that has applications for both research and clinical practice. This will involve the psychometric validation of the new illness-related distress measure to test how valid and reliable the measure is. The aim of the project is to provide initial validation of the Illness Related Distress Scale in a community sample, recruited through online platforms. The objective of the study is to gather initial validity and reliability data for the scale.

Objective: In this pilot study, we will test the hypothesis that patients with POTS (age 18-60 years) will have a higher percentage of functional antibodies to adrenergic receptors compared with control subjects without POTS.