Dynamic Prediction of Heart Failure Using Real-time Functional Status and Electronic Health Record Data in the Ambulatory Setting
Trial Snapshot
- Phase
- Not Applicable
- Status
- Withdrawn
- Locations
- 1
- Primary Endpoint
- Heart failure hospitalization
Study Overview
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.
Study Design
- Study Type
- Interventional
- Allocation
- Na
- Intervention Model
- Single Group
- Primary Purpose
- Diagnostic
- Masking
- None
Eligibility Criteria
- Ages
- 18 Years to — (Adult, Older Adult)
- Sex
- All
- Accepts Healthy Volunteers
- No
Inclusion Criteria
- •Hospitalized for decompensated heart failure
- •Age >=18 years
- •Owns a smart phone
- •Willing to measure self assess 6 minute walk test weekly
Exclusion Criteria
- Not provided
Arms & Interventions
Observational Arm
Participants will be asked to measure self-assessed 6 minute walk test via the smart phone application twice a week for 2 months after discharge from a heart failure hospitalization, and weekly thereafter for 6 months.
Intervention: 6 Minute Walk Test Smart phone Application (Diagnostic Test)
Outcomes
Primary Outcomes
Heart failure hospitalization
Time Frame: 12 months
hospital inpatient admission or emergency room visit
Secondary Outcomes
- Heart failure mortality(12 months)