Dynamic Heart Failure Prediction With Real-time Functional Status Data in the Ambulatory Setting

University of California San Francisco (UCSF)

Status: Withdrawn

Conditions: Heart Failure

Treatments: Diagnostic Test: 6 Minute Walk Test Smart phone Application

Study type: Interventional

Funder types: Other

Identifiers

NCT03702062

HF1

Details and patient eligibility

About

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.

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

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

• None

Trial design

Primary purpose: Diagnostic

Allocation: N/A

Interventional model: Single Group Assignment

Masking: None (Open label)

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0 participants in 1 patient group

Observational Arm

Experimental group

Description:

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.

Treatment:

Diagnostic Test: 6 Minute Walk Test Smart phone Application