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This is a three-arm, randomized, controlled trial to test the effectiveness of gamification plus a social incentive - either social support or competition - to increase adherence to physical activity among individuals with HFpEF. There will be a 2-week run-in period to obtain baseline measures of physical activity, followed by a 6-month intervention period and then a 3-month follow-up period.
The goal of this study is to learn more about patients with heart failure with preserved ejection fraction (HFpEF) and exercise. Investigators want to see if meeting with a coach in person or by video conference will help these patients exercise, feel better, and change markers in their blood. Participants will be randomly placed in one of three groups for 18 months. All groups will have access to a fitness center and be given a watch and heart rate monitor to wear during exercise. The usual care group (control group) will have access to exercise videos via the medical fitness center and will not meet with a coach. The HEART Camp group will exercise and meet with their coach in-person at the medical fitness center. The HEART Camp Connect group will have access to exercise videos via the medical fitness center and will meet with their coach via videoconferencing. All participants will take part in an exercise test and study training prior to being randomized. At four data collection time points, participants will wear an activity monitor for 7 days each, have their blood drawn, and answer questions related to heart failure and exercise. Participants will also wear a heart rate monitor when they exercise and fill out a daily exercise diary.
The purpose of this research is to determine whether treatment with the study drug dapagliflozin for 6 months affects pulmonary capillary wedge pressure (PCWP) at rest and during exercise in adults with failing Fontan circulation.
This prospective, multicenter, cluster-randomized controlled study aims to evaluate the accuracy of an investigational artificial intelligence (AI) Software as a Medical Device (SaMD) designed to compute ejection fraction (EF) severity categories based on the American Society of Echocardiography's (ASE) 4-category scale. The software analyzes continuous ECG waveform data acquired by the FDA-cleared Peerbridge COR® ECG Wearable Monitor, an ambulatory patch device designed for use during daily activities. The AI software assists clinicians in cardiac evaluations by estimating EF severity, which reflects how well the heart pumps blood. In this study, EF severity determination will be made using 5-minute ECG recordings collected during a 15-minute resting period with participants seated upright. The results will be compared to EF severity obtained from an FDA-cleared, non-contrast transthoracic echocardiogram (TTE) predicate device. This comparison aims to validate the accuracy of the AI software.
The goal of this study is to test the feasibility of guiding as-needed pharmacological rate control of atrial fibrillation (AF) by implantable cardiac monitors and to assess the impact of continuous beta-blocker therapy versus as-needed rate control on the following outcomes: (1) exercise capacity, (2) AF burden, (3) symptomatic heart failure, (4) biomarker assessment of cardiac filling pressures and cardio-metabolic health, and (5) quality of life in patients with atrial fibrillation and stage II or III heart failure with preserved ejection fraction.