Early Detection of Health Deterioration in Elderly Patients After Hospitalization for Heart Failure Decompensation

November 10, 2023 updated by: Nisha Arenja

Early Detection of Health Deterioration in Elderly Patients After Hospitalization for Heart Failure Decompensation: A Potential Role for Ambient Sensor Systems in the Patients Home

Digital biomarkers extracted by ambient sensor signals are a promising tool for early detection of health deterioration in the setting of remote patient management of heart failure patients.The primary objective of the study is to evaluate new digital biomarkers as predictors of impending heart failure decompensation.

Secondary objectives are (1) outcome assessment (re-hospitalizations, cardiovascular death, all-cause death), (2) quality of life and (3) System User Satisfaction (SUS)

Study Overview

Status

Not yet recruiting

Conditions

Intervention / Treatment

Study Type

Interventional

Enrollment (Estimated)

24

Phase

  • Not Applicable

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

  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • admitted to hospital for worsening HF
  • age ≥ 70 years
  • LVEF < 50% and need of diuretics
  • NYHA II or III
  • living alone
  • willing to participate with informed consent.

Exclusion Criteria:

  • Major depression (PHQ 9-score >9)
  • being on hemodialysis
  • had been admitted to hospital for any reason within 7 days before HF decompensation.
  • patients with a left ventricular assist device
  • coronary revascularization or cardiac resynchronization therapy implantation within 28 days before the index event of HF decompensation or have been scheduled for such interventions.

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

  • Primary Purpose: Prevention
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Other: Observation Cohort
Main study: A contactless non-intrusive ambient sensor system including infrared motion sensors combined with a contactless Emfit bed sensor will be installed in the home of single living study patients by using a commercially available System (Domo Health®, Lausanne) after informed consent has been obtained. Sensor data are prospectively followed over 3-6 months for predefined indicators of health deterioration. If indicators for health deterioration are present, patients will be called in to the hospital for cardiology consult by the study team including blood analysis for follow-up of BNP values and if necessary, therapy adaption.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Sensitivity and specificity of ambient sensor derived digital biomarkers
Time Frame: 6 months
Sensitivity and specificity of a combination of ambient sensor derived digital biomarker for the prediction of brain natriuretic peptide (BNP) increase of ≥ 20% compared to baseline value.
6 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Outcome assessment
Time Frame: 6 months
re-hospitalizations, cardiovascular death, all-cause death
6 months
Quality of life (heart failure symptoms) - KCCQ
Time Frame: 6 months
KCCQ scores are scaled from 0 to 100 and frequently summarized in 25-point ranges, where scores represent health status as follows: 0 to 24: very poor to poor; 25 to 49: poor to fair; 50 to 74: fair to good; and 75 to 100: good to excellent.
6 months
System Usability Scale (SUS)
Time Frame: 6 months
SUS score 0-100; 80.3 or higher is an A. People will recommend it to their friends 68 or there abouts gets you a C. You are doing OK but could improve 51 or under gets you a big fat F. Make usability your priority now and fix this fast.
6 months

Collaborators and Investigators

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

Sponsor

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 (Estimated)

January 1, 2024

Primary Completion (Estimated)

December 1, 2025

Study Completion (Estimated)

March 1, 2026

Study Registration Dates

First Submitted

November 6, 2023

First Submitted That Met QC Criteria

November 6, 2023

First Posted (Actual)

November 13, 2023

Study Record Updates

Last Update Posted (Estimated)

November 14, 2023

Last Update Submitted That Met QC Criteria

November 10, 2023

Last Verified

November 1, 2023

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • eHealth-HF

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.

Clinical Trials on Heart Failure

Clinical Trials on Ambient sensor system

Subscribe