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

Withdrawn before enrolling · Not applicable

Conditions studied: Heart Failure

In brief

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.

Key facts

Study ID

NCT03702062

Run by

University of California, San Francisco

People needed

0

Starts

2021-11-21

Expected to finish

2022-06-30

Last updated by the study team

2020-11-09

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Hospitalized for decompensated heart failure
• Age >=18 years
• Owns a smart phone
• Willing to measure self assess 6 minute walk test weekly

You may not qualify if…

• None

Where it is running

• University of California, San Francisco — San Francisco, California, United States

Full record on ClinicalTrials.gov

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