An Evaluation of Concordance of Smartwatch ECG and One Clinical ECG and Comparison of The Two ECGS in Terms of Predictive Risks
1 other identifier
observational
1,303
1 country
1
Brief Summary
The participant is being asked to take part in this trial, because the participant is a survivor of childhood cancer. Primary Objective To evaluate remote cardiomyopathy prediction via smartwatch and one clinical ECG and assess the concordance of the two ECGs in terms of predicted risk. Secondary Objective To build a novel predictive model solely on smartwatch ECG to predict risk for cardiomyopathy.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Dec 2022
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 7, 2022
CompletedFirst Posted
Study publicly available on registry
November 15, 2022
CompletedStudy Start
First participant enrolled
December 13, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 17, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
June 1, 2027
ExpectedApril 23, 2026
April 1, 2026
2.1 years
November 7, 2022
April 22, 2026
Conditions
Outcome Measures
Primary Outcomes (2)
Standard 12-lead ECG
To be obtained during SLIFE Human Performance Lab appointment. Participant will receive a resting (supine) 12-lead ECG using a GE Mac 2000 Resting ECG System (General Electric Healthcare, Milwaukee, WI, USA). This will be assessed with the Apple Smartwatch ECG recording to determine concordance of the two ECGs.
Baseline
Apple Smartwatch ECG 30-second recording
To be obtained during the SLIFE Human Performance Lab appointment, collected immediately after recording of the standard 12-lead ECG. A study team member will place an Apple Smartwatch Series 7 on the participant's wrist. The participant will be instructed to start the ECG, which will be a 30-second recording process. Once captured, the data will be automatically transferred to the IOS application on the study iPhone. This will be assessed with the standard 12-lead ECG recording to determine concordance of the two ECGs.
Baseline
Study Arms (1)
Pediatric Childhood Cancer Survivors
The comparison of two ECGs in terms of predictive risk.
Eligibility Criteria
All participants who meet eligibility criteria and consent to enrollment on the study.
You may qualify if:
- SJLIFE participant and 22 years of age or older at time of enrollment
- Participant or legal guardian is able and willing to give informed consent
- At least 5 years after childhood cancer diagnosis
You may not qualify if:
- Been diagnosed with cardiomyopathy on previous SJLIFE ECG
- Currently on heart medication
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
St. Jude Children's Research Hospital
Memphis, Tennessee, 38105, United States
Related Links
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Melissa Hudson, MD
St. Jude Children's Research Hospital
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
November 7, 2022
First Posted
November 15, 2022
Study Start
December 13, 2022
Primary Completion
January 17, 2025
Study Completion (Estimated)
June 1, 2027
Last Updated
April 23, 2026
Record last verified: 2026-04