The purpose of this observational study is to collect and characterize multiple physiologic data from a broad subset of subjects with acute heart failure (HF) Changes in physiologic data are expected to correlate with 30-day readmission rates in this population
This is a multi-center, non-randomized feasibility study aimed at obtaining data from systolic and diastolic HF subjects in the hospital, with continued monitoring using an external wearable monitor for up to 4 weeks post-hospital-discharge. Data will be collected during the hospital stay and at in office follow-up visits at 1 week and 1 month post-hospital discharge The data will help generate hypotheses and aid in determining whether development of a detection algorithm for acute heart failure decompensation is feasible. Due to the feasibility nature of this study there is no minimum required sample size but it is anticipated that the study will enroll up to 100 subjects from seven (7) study sites in the United States and one (1) study site in Australia The study objectives are: * Collect and characterize physiologic data from subjects with acute decompensated heart failure. * Characterization of data related to health care utilizations within 30-days Post-discharge * Correlation between patch monitor collected data and inpatient clinical data * Correlation between patch monitor data and other clinical data collected after patient discharge (30-60 days)
Study Type
OBSERVATIONAL
Enrollment
70
External monitoring for 30 days post-discharge.
Scripps Green Hospital
La Jolla, California, United States
Bay Area Cardiology
Tampa, Florida, United States
United Heart and Cardiovascular
Saint Paul, Minnesota, United States
Morristown Memorial Hospital
Morristown, New Jersey, United States
Percentage of Participants With Health Care Utilizations
Percentage of Participants with health care utilizations. Healthcare utilizations include hospitalizations, urgent care visits and emergency department visits.
Time frame: 30 days post-discharge
Change in Body Weight Per Unit Change in Thoracic Impedance
Change in body weight per unit change in thoracic impedance. The regression coefficients between body weight and thoracic impedance.
Time frame: Discharge to 30 days post discharge
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Mohawk Valley Heart Institute
Utica, New York, United States
University of Cincinnati
Cincinnati, Ohio, United States
Vanderbilt University
Nashville, Tennessee, United States
The Alfred Hospital
Melbourne, Victoria, Australia