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

Sponsor
Nisha Arenja (Other)
Overall Status
Not yet recruiting
CT.gov ID
NCT06126848
Collaborator
(none)
24
1
26

Study Details

Study Description

Brief Summary

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)

Condition or Disease Intervention/Treatment Phase
  • Device: Ambient sensor system
N/A

Study Design

Study Type:
Interventional
Anticipated Enrollment :
24 participants
Allocation:
N/A
Intervention Model:
Single Group Assignment
Masking:
None (Open Label)
Primary Purpose:
Prevention
Official Title:
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
Anticipated Study Start Date :
Jan 1, 2024
Anticipated Primary Completion Date :
Dec 1, 2025
Anticipated Study Completion Date :
Mar 1, 2026

Arms and Interventions

Arm Intervention/Treatment
Other: Observation Cohort

Device: Ambient sensor system
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.

Outcome Measures

Primary Outcome Measures

  1. Sensitivity and specificity of ambient sensor derived digital biomarkers [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.

Secondary Outcome Measures

  1. Outcome assessment [6 months]

    re-hospitalizations, cardiovascular death, all-cause death

  2. Quality of life (heart failure symptoms) - KCCQ [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.

  3. System Usability Scale (SUS) [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.

Eligibility Criteria

Criteria

Ages Eligible for Study:
70 Years and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
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.

Contacts and Locations

Locations

No locations specified.

Sponsors and Collaborators

  • Nisha Arenja

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Nisha Arenja, Pinciple Investigator, Kantonsspital Olten
ClinicalTrials.gov Identifier:
NCT06126848
Other Study ID Numbers:
  • eHealth-HF
First Posted:
Nov 13, 2023
Last Update Posted:
Nov 14, 2023
Last Verified:
Nov 1, 2023
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Additional relevant MeSH terms:

Study Results

No Results Posted as of Nov 14, 2023