DECIDE-CV Using AI

NCT ID: NCT05482958

Last Updated: 2025-12-17

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

210 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-07-29

Study Completion Date

2025-09-29

Brief Summary

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The purpose of this study is to identify digital biomarkers associated with type 2 diabetes mellitus (T2DM) by combining sensor data from a wrist-worn wearable and clinical data. This will be done by recruiting patients with and without diabetes within the cardio-metabolic clinics a the MUHC. Consented patients will be provided with a HOP Technologies (HOP) watch in this project across two observation periods. The Watch-HOP platform facilitates the development of predictive algorithms built with data collected in a clinical setting or at home in a passive (sensors) and active (self-assessments) way. Data from the Watch-Hop will be analyzed using machine learning strategies to determine associations with clinical measures of T2DM.

Detailed Description

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The epidemic of type 2 diabetes mellitus (T2DM) continues to increase. Sensor technologies and artificial intelligence present us with an opportunity to identify patients suffering from T2DM and to optimize their treatment.

Specifically, our primary objective is to identify digital biomarkers associated with T2DM by combining sensor data from a wrist-worn wearable and clinical data.

Conditions

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Type 2 Diabetes

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

PROSPECTIVE

Study Groups

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Control: Participants without T2DM

Participants without T2DM will be recruited and consented through the Courtois Cardiovascular Signature Biorepository protocol, HbA1c % will be measured at baseline from the stored bio-samples collected as a part of the biorepository program. A wearable will be worn for the duration of the clinic appointment.

The participant will then wear the HOP watch for the designated period of time.

HOP watch

Intervention Type DEVICE

A multisensor smartwatch that includes neurophysiological sensors such as heart rate sensor to monitor the vitals of the participant.

Case: Patients with T2DM

Participants with T2DM, their baseline history of T2DM will be determined from chart review and patient history. In patients with T2DM, for the HbA1c % both at baseline and follow-up, the investigators will measure this value as a part of routine standard of care in the DECIDE-CV clinic.

A subset of 20 participants will be given a Polar H10 chest-strap to be worn during the clinic.

Participants will be given a HOP watch to wear in the clinical environment and will be discharged from the clinic to wear the watch for the designated period.

Participants will subsequently wear the watch again, in 3-6 months for the designated period of time.

HOP watch

Intervention Type DEVICE

A multisensor smartwatch that includes neurophysiological sensors such as heart rate sensor to monitor the vitals of the participant.

Interventions

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HOP watch

A multisensor smartwatch that includes neurophysiological sensors such as heart rate sensor to monitor the vitals of the participant.

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

1. Age \> 18 years
2. Able to follow-up with study protocol schedule
3. Life expectancy \> 1 year
4. Case group only a. HbA1c \>= 6.5% or is diagnosed with T2DM

Exclusion Criteria

1. Any person who does not meet the above criteria or who refuses to participate
2. Undergoing chemotherapy or dialysis
3. Currently in palliative care
4. Any person who does not have an email address
5. Control group only a. HbA1c \>= 6.5% or is diagnosed with T2DM
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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HOP-Child Technologies Inc

UNKNOWN

Sponsor Role collaborator

MedTeq

INDUSTRY

Sponsor Role collaborator

Boehringer Ingelheim

INDUSTRY

Sponsor Role collaborator

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

OTHER

Sponsor Role lead

Responsible Party

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Abhinav Sharma

Assistant Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Abhinav Sharma

Role: PRINCIPAL_INVESTIGATOR

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

Locations

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McGill University health Center

Montreal, Quebec, Canada

Site Status

Countries

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Canada

Other Identifiers

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2022-8286

Identifier Type: -

Identifier Source: org_study_id