View clinical trials related to Heart Failure.
Filter by:The goal of this prospective non-randomised study is to test the feasibility of leadless conduction system pacing using the WiSE-CRT device in patients with an indication for Cardiac Resynchronisation Therapy. The main question[s] it aims to answer are: 1. What is the safety profile of leadless conduction system pacing? 2. What is the success rate of leadless conduction system pacing? 3. What are the electrical and haemodynamic effects of leadless conduction system pacing. Participants will undergo pre-procedural cardiac CT, and post-procedure electro-anatomical mapping and haemodynamic assessments.
Does oral intake of exogenous ketone salt improve heart function measured by cardiac MRI in heart failure compared to oral intake of a carbohydrate placebo?
This pilot study is to assess the feasibility, preliminary utility and acceptance of a digital technology-based system for heart failure management.
Heart failure (HF) is a major cardiovascular disease with high readmission and mortality rate. A wearable device that could remotely monitor and detect the worsening HF early before the symptoms appear will help reduce HF readmissions effectively. The purpose of the current study is to examine the efficiency of a novel wearable device based on flexible strain sensor comparing to the clinical 'gold standard,' and then transform it into a clinical application.
A proprietary machine-learning algorithm has been developed to model continuous pulmonary artery pressure (PAP), a physiologic marker of cardiopulmonary function. The algorithm was developed from PAP recordings obtained during invasive right heart catheterization. The study will evaluate whether this algorithm can perform as well when embedded into a non-invasive wearable device that records EKG, heart sounds, and thoracic impedance has yet to be established.
The study investigates wheather CTO-PCI improves survival and heart failure related rehospitalization compared to optimal medical therapy (OMT). This hypothesis will be investigated within a large-scaled international, representative, prospective, randomized, controlled, open-label, event-driven, multicentre trial (trial acronym: CTO - Heart Failure) recruiting patients with planned CTO-PCI.
This study was planned as a descriptive and correlational type study to reveal the effect of perceived uncertainty by heart failure (HF) patients with reduced ejection fraction on quality of life and self-care behaviors. In this study, which aimed to reach 122 inpatients with HF, the dependent variables were quality of life and self-care behaviors, the independent variable will be perceived uncertainty. Data will be collected by Mishel Uncertainty in Illness Scale-Community Form (MUIS-C), Left Ventricular Disfunction Scale (LVD-36) and European Heart Failure Self-Care Behavior Scale (EHFSeBS). Data analysis will basically be done with Multivariate Analysis of Variance (MANOVA).
Rheumatic mitral stenosis remains a health problem in developing countries. Progressive fibrosis of the valves and myocardium is the main pathophysiology that plays an important role. Dapagliflozin has various beneficial effects on the heart by reducing fibrosis, reducing inflammation, and improving patient quality of life. However, the role of this therapy is unknown in patients with rheumatic mitral stenosis.
Amyloid deposition in the heart is called cardiac amyloidosis (CA); 95% is immunoglobulin light chain amyloidosis (AL) and transthyretin amyloidosis (ATTR). Hereditary (ATTRm) or wild-type (ATTRwt) depends on whether the ATTRm gene is mutated or not. The most common mutation in Taiwan is A97S, 80% have left ventricular hypertrophy. The good prognosis depends on early diagnosis and correct treatment strategy. Bone-avid tracers such as 99mTc-PYP/DPD/HMDP could detect CA. The mechanism is not clear yet, which may be related to the microcalcification. AL amyloidosis is mostly between visual score grade 0-2, and ATTR-CM is usually gradeā„2 on PYP scan, or heart to contralateral (H/CL) ratio, and it might replace invasive myocardial biopsy. However, there are no large-scale clinical studies, lack of standardization data, and limited information in comparison between clinical and imaging parameters. This project will enroll patients with suspected or diagnosed with CA according to CA diagnostic algorithm. Clinical data and image parameters are collected and compared. The project aims to set up prediction models based on the multi-parameters of PYP scan using artificial intelligence technology, including imaging registration and alignment technology, and standardization. We further use the key cardiovascular data elements and imaging-derived database using model training network to extract image features to develop the diagnostic and prognostic prediction models, which are expected to validate the clinical significance and improve patient-centric performance and efficient clinical decision making.
The purpose of this study is to examine if educational intervention in high risk patients can lead to decreased hospital readmissions when compared to patients who are not in the intervention program. Additionally, to determine patient satisfaction with the educational program.