Heart Failure (HF) is a highly prevalent disease that also carries high morbidity and mortality. Improvements in mortality and healthcare utilization, including hospitalizations of HF still remain the gold standard outcomes for HF drug approval. However, it is difficult to improve mortality as the only endpoint due to the variation in the age groups and comorbidities of the population and ineffectiveness to alter all-cause mortality, particularly in patients with heart failure with preserved ejection fraction (HFpEF). Considering these issues, there is a need for exploration of complimentary endpoints. The Food and Drug Administration (FDA) recognizes the importance of developing patient-centric endpoints that are relevant to patients beyond mortality and hospitalizations. Patients with HF have reduced function capacity and quality of life (QoL) and hence it is imperative to explore interventions that impact endpoints that directly measure how a patient feels or functions on a daily basis. Although functional status can be objectively measured by peak exercise oxygen consumption, it is difficult and impractical to implement in large clinical studies, especially in an ambulatory real-world setting. Other objective measures of functional status include a 6-minute walk test (6MWT) and potentially measures of activity using implanted or wearable sensors. Patient-reported outcomes (PROMs) can also be used to record and quantify symptoms but are cumbersome and impractical since significant resources are required to contact patients and administer questionnaires. It is also particularly difficult to record these and correlate with physiologic signals in real-time.~Recently, new mobile health technologies have emerged as clinical tools and offer an opportunity to overcome these challenges in measuring functional capacity and recording symptoms. These technologies are able to capture and integrate data from disparate sources from individual patients reflecting their functional status and symptomatology. These data can potentially serve as surrogate endpoints for approval of new HF therapies. A novel mobile health platform (BiovitalsHF, developed by Biofourmis) enables continuous acquisition and monitoring of multiple physiologic data (for e.g. electrocardiogram, heart rate, respiration rate, activity intensity, 3-axis accelerometer and sleep) using readily available biosensors (Everion® MD and Apple Watch will be used for this study). The BiovitalsHF smartphone app is capable of capturing patient's physiology, functional capacity (using activity patterns, including guided mobile-based 6MWT) and assessment of QoL through validated PROs.
The Food and Drug Administration (FDA) recognizes the importance of developing patient-centric endpoints that are relevant to patients beyond mortality and hospitalizations. Patients with HF have reduced function capacity and quality of life (QoL) and hence it is imperative to explore interventions that impact endpoints that directly measure how a patient feels or functions on a daily basis.~Recently, new mobile health technologies have emerged as clinical tools and offer an opportunity to overcome these challenges in measuring functional capacity and recording symptoms. These technologies are able to capture and integrate data from disparate sources from individual patients reflecting their functional status and symptomatology. These data can potentially serve as surrogate endpoints for approval of new HF therapies.~In this study, the investigators will test the feasibility of a novel mobile health monitoring platform to capture patients' physiology, functional capacity and assessment of quality of life.