cardiomyopathy Clinical Trials
A listing of cardiomyopathy medical research trials actively recruiting patient volunteers. Search for closest city to find more detailed information on a research study in your area.
Found 270 clinical trials
Cardiac Magnetic Resonance for Risk Stratification in Dilated Cardiomyopathy
Dilated cardiomyopathy (DCM) is an increasingly recognized cause of morbidity and mortality with heterogenous etiologies (eg, genetic, environment) and clinical manifestations, characterized by left ventricular (LV) systolic dysfunction and LV or biventricular dilation. Previous publications reported the three-year treated mortality rates remain high at 12%-20% and a reported 5-year mortality …
Non-ischemic Cardiomyopathy Registry, Biobank and Imaging Data Repository
The main goal of CaNICM is to create a central database that includes a biobank and an imaging data repository for patients with non-ischemic cardiomyopathy (NICM), as well as for at-risk family members. This includes people who carry rare genetic variants linked to NICM but do not show symptoms, and …
Prospective Observational Study of the ICD in Sudden Cardiac Death Prevention
The overall hypothesis of this study is that subtle interactions between structural (substrate) and functional (trigger) abnormalities of the heart, some of which are genetically-determined, can be used to identify patients at high risk of sudden cardiac death (SCD). Such information may be used to better define patients most likely …
Optimisation of Decision Making for Defibrillator Implantation in Hypertrophic Cardiomyopathy
The main objective of the study is to improve implantable cardioverter defibrillator (ICD) implantation decision-making processing relevance by developing a new prediction model of sudden cardiac death (SCD) in hypertrophic cardiomyopathy (HCM), including newly identified potential biomarkers by magnetic resonance imaging (MRI) and genetics, through a prospective nationwide study, multivariate …
Risk Stratification, Early Prevention and Treatment Strategies for Arrhythmogenic Cardiomyopathy
This study will include patients diagnosed with Arrhythmogenic cardiomyopathy (ACM) in the First Affiliated Hospital of Xi 'an Jiaotong University and other centers, and collect clinical data and biological samples of patients with different ACM phenotypes. Through the establishment of disease cohort and long-term follow-up, to explore the disease characteristics, …
Characterization of Patients With Cardiomyopathy to Identify Critical Patients Candidates for Cardiac Transplantation
The study aims to identify new diagnostic and prognostic markers for CMP that can help predict disease progression. In particular, the study will focus on microRNAs (miRNAs) and spatial transcriptomics, which are emerging techniques that may provide insights into the underlying disease mechanisms. By understanding these markers, the investigators hope …
Role of Endomyocardial Biopsy and Aetiology-based Treatment in Patients With Inflammatory Heart Disease in Arrhythmic and Non-arrhythmic Clinical Presentations: an Integrated Approach for the Optimal Diagnostic and Therapeutic Management
Myocarditis is a complex inflammatory disease, usually occurring secondary to viral infections, autoimmune processes or toxic agents. Clinical presentations are multiple, including chest-pain, heart failure and a broad spectrum of arrhythmias. In turn, outcome is largely unpredictable, ranging from mild self-limiting disease, to chronic stage and progressive evolution towards dilated …
Evaluating the Prognostic Impact of Anti-β1AR Antibodies and Anti-L-CaC Antibodies in Patients With Dilated Cardiomyopathy
Background of the study The etiology of dilated cardiomyopathy (DCM) is complex and involves a variety of genetic, environmental, and immunologic factors. Autoimmune reactions (especially anti-cardiac autoantibodies) play an important role in the development of DCM. In recent years, several clinical studies have suggested that anti-β1AR and anti-L-CaC antibodies are …
Machine Learning Approach Based on Echocardiographic Data to Improve Prediction of Cardiovascular Events in Hypertrophic Cardiomyopathy
Hypertrophic cardiomyopathy is a pathology with a highly variable course, ranging from patients who are asymptomatic throughout their lives to those who experience sudden death and/or terminal heart failure. The main objective is to develop and validate an algorithm (constructed through supervised learning) using cardiac imaging data to predict the …
Diagnosis of HCM With AI-ECG
The study aims to establish a diagnostic model of hypertrophic cardiomyopathy with artificial intelligence-enhanced electrocardiogram.
