View clinical trials related to Hypertrophy, Left Ventricular.
Filter by:The purpose of this study was to understand the epidemiological status of Fabry in patients with hypertrophic cardiomyopathy or left ventricular hypertrophy through multi-center early identification of high-risk patients in cardiology according to high-risk profiles, supplemented by DBS (dried blood disc) screening tools, and to explore the screening and diagnosis methods of patients with Fabry disease in cardiology, so as to promote the early identification, diagnosis and treatment of Fabry in cardiology.
Research hypothesis - Recent studies have shown that high-dimensional descriptors of the cardiac function can be efficiently exploited to characterize targeted pathologies. In this project, the investigators hypothesize that echocardiograms possess a wealth of information that is currently under-exploited and that, combined with relevant patient data, will allow the development of robust and accurate digital tools for etiological diagnosis. Objectives - Based on key advances recently obtained in image analysis, notably by members of the consortium, the objective of this project is to develop rigorous and explainable cardiac disease prediction models from echocardiography based on the transformer paradigm (AI). The strength of this study lies in the development of a strong AI framework to model the complex interactions between high-quality image-based measurements extracted from echocardiograms and relevant patient data to automatically predict etiological diagnosis of cardiac diseases
"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.
The objective of the proposed project is to quantify the prevalence and disparities of undiagnosed left ventricular hypertrophy (LVH) in Emergency Department (ED) patients with persistently elevated asymptomatic BP, and to measure the effect of disclosure, education, and expedited referral on 3-month outpatient follow-up and treatment rates for ED patients with newly diagnosed LVH by POCUS. Additionally, investigators will create a database of annotated clips for future development of a machine learning algorithm for LVH detection on POCUS.
The aim of the study is to determine the analytical characteristics of the microRNA enzymatic immunoassay (miREIA) method and to determine various relations among miRNA biomarkers and heart failure (HF) with reduced ejection fraction(HFrEF). The investigators assume that there are correlations between levels of selected miRNA and HFrEF. These correlations provide information to formulate pathophysiological conclusions, which will significantly contribute to early diagnostics and also the treatment of this disease.
This multicenter clinical study aims to evaluate the multi-modality echocardiographic parameters in patients with different pathological left ventricular hypertrophy (LVH) and investigate the correlation between echocardiographic parameters and different etiologies, providing an important theoretical basis for early identification and risk assessment in LVH patients.
The electronic health record contains vast amounts of cardiovascular data, including potential clues that an individual may have unrecognized cardiac conditions. One important example is the finding of thickened heart muscle -- known as left ventricular hypertrophy (LVH) -- on echocardiograms (heart ultrasounds). If the underlying cause of LVH is untreated, individuals are at an increased risk of developing more severe pathology. As the most common cause of LVH, hypertension and its downstream consequences account for more cardiovascular deaths than any other modifiable risk factor. Critically, many individuals have signs of cardiac damage from hypertension before it is diagnosed or treated. Despite this evidence, there are often gaps in healthcare delivery that contribute to substandard recognition and treatment. Thus, there is an urgent need to validate alternative cost-effective screening and intervention strategies. Echocardiograms are ordered by many specialties and for numerous indications. Even when LVH is reported, the finding may be underappreciated and not prompt further evaluation. Whether data from prior echocardiograms can be harnessed to improve patient care through a centralized intervention is unknown. Accordingly, the goal of this randomized pragmatic clinical trial is to study the impact of a centralized clinical support pathway on the diagnosis and treatment of hypertension and the recognition of LVH-associated diseases in individuals with evidence of thickened heart muscle on previously performed echocardiograms.
This is a non-invasive/observational study in healthy and mild HF subjects utilizing clinical and ambulatory measurements to improve detection, monitoring, and management of HF risks.
The investigators' goal is to show that in hypertensive men and women with left ventricular hypertrophy (LVH) treatment with a mineralocorticoid receptor (MR) antagonist, versus a thiazide-like diuretic, will improve coronary microvascular function and cardiac efficiency, which will associate with improvements in LV structure and function. The investigators will achieve this through a randomized, controlled, basic experimental study involving humans (BESH).
The proposed mechanistic trial will test the effect of dietary sodium reduction on cardiac and vascular structure and function in those with elevated blood pressure or hypertension. Findings from this study will fill the knowledge gap on the underlying mechanisms of dietary sodium intake on cardiovascular disease risk in addition to blood pressure and could provide further evidence on sodium reduction for the prevention of cardiovascular disease.