An Observational Study to Develop an Algorithm to Predict Decompensation of Congestive Heart Failure (dCHF) Using a Non-Invasive Wearable Device.
This is a prospective, observational pilot study designed to develop a mathematical algorithm capable of predicting decompensation of congestive heart failure (dCHF) using physiologic data collected from a non-invasive wearable device. Participants with a remote hemodynamic pulmonary artery pressure monitor will wear a wearable device continuously for up to 12 months. Wearable data will be analyzed in relation to the hemodynamic monitor defined sentinel events of heart failure decompensation to identify predictive signal patterns. Optional biospecimen (DNA, blood, urine) and voice sample collection will support future biomarker discovery.
• • Age ≥ 18 years
‣ Current use of a hemodynamic sensoring device
⁃ At least 4 consecutive weeks of stabilized goal pulmonary artery pressures
⁃ Access to a personal smartphone with Wi-Fi or cellular connectivity