REducing 30-day ADMIssions in posT-discharge Subjects (READMIT)
Last updated on July 2021Recruitment
- Recruitment Status
- Completed
- Estimated Enrollment
- 100
Summary
- Conditions
- Acute Decompensated Heart Failure
- Type
- Observational
- Design
- Observational Model: CohortTime Perspective: Prospective
Participation Requirements
- Age
- Between 18 years and 125 years
- Gender
- Both males and females
Description
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 ...
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)
Tracking Information
- NCT #
- NCT01574144
- Collaborators
- Not Provided
- Investigators
- Study Director: READMIT-HF Study Team Medtronic