Decompensated Chronic Heart Failure
Conditions
Keywords
congestive heart failure, wearable monitor, predictive algrothim
Brief summary
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.
Detailed description
Participants with chronic congestive heart failure and using a pulmonary artery pressure monitor will be enrolled and followed for a minimum of 6 months and up to 12 months. Daily pulmonary artery (PA) pressures obtained via the remote monitoring device will serve as the reference standard for identifying decompensated CHF events ("sentinel events"), defined by sustained elevations in PA diastolic pressure associated with medication changes by the clinical care team. Physiologic data from the wearable-including heart rate, heart rate variability, sleep metrics, activity levels, oxygen saturation and temperature-will be collected continuously and analyzed in the 1-7 days preceding and following sentinel events. Time-series statistical methods and machine-learning models will be used to develop a predictive algorithm for dCHF. Participants may opt in to optional biospecimen collection (cheek swab DNA, plasma, urine) and weekly voice recordings to support future research into biomarkers and digital phenotypes associated with heart failure decompensation. The wearable data are not used for clinical decision-making, and all participants continue to receive standard heart failure care.
Interventions
DEVICEwearable ring device with multiple embedded sensors to detect heart rate, SVO2, respiratory rate, heart rate variability and a number of other related physiologic parameters
In this observational study, a non-invasive, wearable ring used for continuous passive collection of physiologic data (sleep, activity, heart rate, HRV, temperature) will be used to collect data from all patients in the study. Data are used solely for research and algorithm development and are not used for diagnosis or treatment.
Sponsors
CHFDX,Inc.
Tampa General Hospital
University of South Florida
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* • 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
Exclusion criteria
* • Inability to provide informed consent * Inability to read or understand English * Likely non-adherence to wearable device use * Prisoners * Pregnant females
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Changes in multiple physiologic parameters from baseline that correlate with onset of dCHF | Up to 12 Months | Identification of reproducible changes in wearable physiologic data that occur in the 1-7 days preceding a hemodynamic monitoring device detection of elevated pulmonary artery pressure sustained over 2 days defined as a sentinel event of decompensated CHF. |
Countries
United States
Contacts
CONTACTRobby Wu, DO
CONTACTRohitha Moudgal, MD
PRINCIPAL_INVESTIGATORWu, DO
Tampa General Hospital
Outcome results
None listed