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

NCT03702062 · Status: WITHDRAWN · Phase: NA · Type: INTERVENTIONAL

Last updated 2020-11-09

No results posted yet for this study

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.

Conditions

Interventions

DIAGNOSTIC_TEST

6 Minute Walk Test Smart phone Application

The intervention requests participants to user the smart phone application at prescribed frequencies during the follow-up period.

Sponsors & Collaborators

Principal Investigators

  • Geoffrey Tison, MD · University of California, San Francisco

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-11-21
Primary Completion
2022-06-30
Completion
2022-06-30

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases
Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03702062 on ClinicalTrials.gov