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Screening for Heart Failure Using a Multimodal Wearable Device

Screening for Heart Failure Using a Multimodal Wearable Device

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06335264
Acronym
WEAR-HF
Enrollment
56
Registered
2024-03-28
Start date
2024-01-15
Completion date
2025-08-31
Last updated
2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Heart Failure

Keywords

Wearable, Digital biomarker, Heart rate variability, 6-minute walking test, Voice biomarker

Brief summary

The purpose of this study is to find out if there are any patterns in the way people's bodies react to physical activities and their voices when they have heart failure, a disease where the heart cannot function sufficiently. To do this, the investigators will use a smartwatch that can measure multiple signals like the participant's heart rate and movement. Investigators will ask participants with and without heart failure to wear the Watch HOP (from HOP-Child Technologies Inc.) and sensors during physical tasks at their clinic visit at the McGill University Health Centre. Researchers will also record the participants' voices between their visits. The key signals can help find who is at risk for heart failure or develop new ways to monitor and treat it.

Detailed description

Heart Failure (HF) is a multi-faceted and life-threatening syndrome characterized by significant morbidity and mortality, poor functional capacity and quality of life, and high costs. Logistic and economic difficulties prove screening for HF challenging for some populations, such as people with reduced mobility and the elderly. Sensor technologies and data processing algorithms, including artificial intelligence, represent an opportunity to systematically identify patients suffering from HF as a complementary tool for echocardiography. The ability to compute digital biomarkers using complex models from wearable data requires identifying the key parameters that are associated with the presence of HF. A multisensorial wearable device can be utilized to develop digital biomarkers for population-based screening of HF. The present study aims to evaluate the best signals from a wearable device to identify digital signals (aka digital biomarkers) that are most associated with HF, including all ejection fraction types. For this study, investigators will recruit 27 participants with HF and 27 without HF. The primary objective of this study is to analyze the key physiological parameters recorded from the platform devices that can develop a digital biomarker for the presence of prevalent HF and its markers like NTproBNP, KCCQ, and 6MWD

Interventions

DEVICEWatch HOP

A multisensorial wearable smartwatch that measures actigraphy (motion), skin temperature, heart rate variability (PPG), electrodermal activity, and voice (via App)

Sponsors

McGill University Health Centre/Research Institute of the McGill University Health Centre
Lead SponsorOTHER
HOP-Child Technologies Inc
CollaboratorUNKNOWN

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

1. Able to follow up with the study protocol schedule 2. Life expectancy \> 1 year 3. Case group only 1. Clinical signs and/or symptoms of heart failure caused by a structural and/or functional cardiac abnormality, as defined by Bozkurt et al. \[2021\], diagnosed at the cardiovascular clinic 2. NT-proBNP levels \> 125 pg/L or objective evidence of cardiogenic pulmonary or systemic congestion 3. One of the following; i. For HFpEF, LVEF ≥ 50% ii. For HFmrEF, LVEF 41-49% iii. For HFrEF, LVEF ≤ 40% 4. Control group only 1. Absence of known clinical heart failure history. 2. Absence of criteria above in the case group.

Exclusion criteria

1. Any person who does not meet the above criteria or who refuses to participate 2. Undergoing chemotherapy or dialysis 3. In addition, the following list of criteria are specific to accurate wrist wearable measurements: 1. Skin burns or rashes on the measurement locations (wrist for wearable, finger for oximeter, chest for Polar ECG) 2. Patients with tremors 3. Recent use of dermatological creams, ointments, or lotions at the recording area

Design outcomes

Primary

MeasureTime frameDescription
Presence or absence of heart failurebaselinethe diagnosis of heart failure in the clinic based on the Canadian Heart Failure Society guidelines

Secondary

MeasureTime frameDescription
Natriuretic peptide (NT-proBNP) levelbaseline and at follow-up (up to 6 months after)A hormone molecule that plays a crucial role in the regulation of the cardiovascular system, used as a biomarker for heart failure.
6-minute walking distance (6MWD)baseline and at follow-up (up to 6 months after)Distance measured during the standardized 6-minute walking test (6MWT) while the participant walks between 2 cones around 30 meters apart, measured by the coordinator with the count of complete and incomplete laps.
Kansas City Cardiomyopathy Questionnaire Score (KCCQ)baseline and at follow-up (up to 6 months after)24-item multiple domain cardiomyopathy questionnaire, validated in the heart failure cohort to assess self-perceived symptoms and their effect on the participant's daily tasks.
One-minute sit-to-stand repetitionsbaseline and at follow-up (up to 6 months after)Amount of complete sit-to-stand repetitions during the 1MSTS test
Left Ventricular Ejection Fraction (LVEF)baseline and at follow-up (up to 6 months after)the ratio of stroke volume to left ventricular end-diastolic volume

Countries

Canada

Contacts

PRINCIPAL_INVESTIGATORAbhinav Sharma, MD

McGill University Health Centre/Research Institute of the McGill University Health Centre

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 30, 2026