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

N/AWithdrawnNCT03702062

University of California, San Francisco

Overview

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 Type

INTERVENTIONAL

Allocation

Purpose

DIAGNOSTIC

Masking

NONE

Conditions

Heart Failure

Interventions

6 Minute Walk Test Smart phone ApplicationDIAGNOSTIC_TEST

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

Eligibility

Sex: ALLMin age: 18 Years

Medical Language ↔ Plain English

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

Locations (1)

University of California, San Francisco

San Francisco, California, United States

Outcomes

Primary Outcomes

Heart failure hospitalization

hospital inpatient admission or emergency room visit

Time frame: 12 months

Secondary Outcomes

Heart failure mortality

Death from heart failure

Time frame: 12 months

Data from ClinicalTrials.gov

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