Dynamic Heart Failure Prediction With Real-time Functional Status Data in the Ambulatory Setting
- Conditions
- Heart Failure
- Registration Number
- NCT03702062
- Lead Sponsor
- University of California, San Francisco
- Brief Summary
Heart failure is the number one cause of hospital readmission in those over 65 years of age and the current standard-of-care of weight self-monitoring is inadequate to predict exacerbation. This project aims to improve the monitoring of heart failure disease progression through the use of real-time, up-to-date data obtained both from a smart phone-based tool and from the electronic health record. The goal is to develop a low-risk, clinically validated method to estimate dynamic heart failure risk to enable the provision of earlier, more effective outpatient interventions that decrease hospitalization.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- WITHDRAWN
- Sex
- All
- Target Recruitment
- Not specified
- Hospitalized for decompensated heart failure
- Age >=18 years
- Owns a smart phone
- Willing to measure self assess 6 minute walk test weekly
- None
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Primary Outcome Measures
Name Time Method Heart failure hospitalization 12 months hospital inpatient admission or emergency room visit
- Secondary Outcome Measures
Name Time Method Heart failure mortality 12 months Death from heart failure
Trial Locations
- Locations (1)
University of California, San Francisco
🇺🇸San Francisco, California, United States
University of California, San Francisco🇺🇸San Francisco, California, United States