This study is not yet accepting patients

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

a study on Heart Failure

Summary

for people ages 18 years and up (full criteria)
at San Francisco, California
study started
estimated completion
Geoffrey Tison

Description

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.

Official Title

Dynamic Prediction of Heart Failure Using Real-time Functional Status and Electronic Health Record Data in the Ambulatory Setting

Keywords

Heart Failure6 Minute Walk Test Smart phone Application

Eligibility

You can join if…

Open to people ages 18 years and up

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

You CAN'T join if...

Location

  • University of California, San Francisco not yet accepting patients
    San FranciscoCalifornia94143United States

Lead Scientist

  • Geoffrey Tison
    Geoff Tison, M.D. M.P.H. is a Cardiologist and an Assistant Professor in the Division of Cardiology at the University of California, San Francisco (UCSF). Dr. Tison earned his Sc.B. in Neuroscience at Brown University and received his M.D. and M.P.H. degrees from the Johns Hopkins Schools of Medicine and Public Health.

Details

Status
not yet accepting patients
Start Date
Completion Date
(estimated)
Sponsor
University of California, San Francisco
ID
NCT03702062
Study Type
Interventional
Last Updated