Home Outpatient Monitoring and Engagement to Predict HF Exacerbation (Home Predict)

December 18, 2019 updated by: University of California, San Francisco

Home Outpatient Monitoring and Engagement to Predict HF Exacerbation (HOME PREDICT-HF)

The HOME PREDICT HF study looks at new ways to predict hospitalizations for heart failure. We will use a set of devices at home and surveys to collect information about patient's health. This study uses the Eureka app, a new study app developed by the University of California, San Francisco. The study is designed to happen remotely, using this application on a patient's smartphone, so that is as convenient as possible to participate.

Study Overview

Status

Terminated

Intervention / Treatment

Detailed Description

HOME PREDICT HF is single center, prospective, unblinded, randomly assigned training and validation observational cohorts to develop machine learning algorithms from an in-home suite of sensors in order to predict 3-month heart failure hospitalization and/or emergency department visits. Study population includes adults presenting with a diagnosis of reduced ejection fraction (LVEF <= 40%), NYHA class II-IV) who have had a hospitalization for HF in the previous 6 months. The study objectives include (1) To collect observational data from multiple sensors, patient-reported outcomes, and medical record data to develop (train) machine-learning algorithms (2) To validate trained algorithms in a separate validation cohort (3) To collect data to inform the design of a future intervention study. The primary outcome is Ninety-day heart failure hospitalization/emergency department visit for heart failure.

Study Type

Observational

Enrollment (Actual)

30

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • California
      • San Francisco, California, United States, 94105
        • University of California, San Francisco

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

Adults presenting with a diagnosis of reduced ejection fraction (LVEF <= 40%), NYHA class II-IV) who have had a hospitalization for HF in the previous 6 months.

Description

Inclusion Criteria:

  1. Outpatient and cared for by a PINNACLE Registry practice
  2. Age ≥ 18 years old
  3. Has a diagnosis of HF in the PINNACLE Registry/Medical Record
  4. Seen by PINNACLE practice within the last 12 months
  5. Has an LVEF ≤40% on their last data entry (within 1 year) in the PINNACLE Registry
  6. NYHA Class II-IV by self-report
  7. Has had a hospitalization for HF in the previous 6 months by self-report
  8. Owns an Android or iOS smartphone, within Verizon cellular coverage zone in order to allow for data submission.
  9. Sleep in the same bed at least 5 days per week
  10. Willingness to complete the required surveys, measurements and study activities.

Exclusion Criteria:

  1. Home oxygen use
  2. Current or planned ventricular assist device
  3. Previously or currently on a heart transplant list
  4. Chronic dialysis
  5. A diagnosis of any cancer and undergoing active treatment
  6. In hospice or palliative care
  7. Planned surgery/procedure in the next 3 months
  8. Planned extended time away from home (>2 weeks) in the next 3 months
  9. Living in a skilled nursing facility or other chronic care facility
  10. Pregnancy or planned pregnancy in the next 3 months
  11. Inability or unwillingness to consent and/or follow requirements of the study

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Training Set
n = 333
The MYIA in-home suite of devices.
Other Names:
  • The MYIA in-home suite of devices.
Validation Set
n = 167
The MYIA in-home suite of devices.
Other Names:
  • The MYIA in-home suite of devices.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Heart Failure Hospitalization/ ED Visit
Time Frame: 90 day
Ninety-day heart failure hospitalization/emergency department visit for heart failure.
90 day

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Collaborators

Investigators

  • Principal Investigator: Jeff Olgin, MD, University of California, San Francisco

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 8, 2018

Primary Completion (Actual)

March 1, 2019

Study Completion (Actual)

March 1, 2019

Study Registration Dates

First Submitted

March 20, 2018

First Submitted That Met QC Criteria

March 20, 2018

First Posted (Actual)

March 27, 2018

Study Record Updates

Last Update Posted (Actual)

December 20, 2019

Last Update Submitted That Met QC Criteria

December 18, 2019

Last Verified

December 1, 2019

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 18-24445

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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