Wearable Devices for Patient Monitoring in Long QT Syndrome

Recruiting

• Conditions: Long QT Syndrome

• Registration Number: NCT06887387
• Lead Sponsor: Queen Mary University of London

Brief Summary

The main research question of this study is whether wearable devices have utility in monitoring patients with Long QT syndrome.

Detailed Description

Not available

Study Timeline

• Study First Submitted: 2025-03-14
• Study First Submitted QC: 2025-03-14
• Study First Posted: 2025-03-20
• Study Start: 2025-04-01
• Status Verified: 2025-05
• Last Update Submitted: 2025-05-15
• Last Update Posted: 2025-05-20
• Primary Completion: 2026-04-30
• Study Completion: 2026-09-04

Recruitment & Eligibility

• Status: RECRUITING
• Sex: All
• Target Recruitment: 80

Inclusion Criteria

• Clinical diagnosis of Long QT Syndrome
• Aged 18 years or over
• Phone with iOS version 15 or Android OS 9.0 or higher
• Able and willing to provide informed consent

Exclusion Criteria

• Unwilling or unable to give consent
• Ventricular pacing at recruitment
• Bundle branch block or pre-excitation at baseline

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
1. Determine the accuracy of repeated QT interval measurements using Fitbit-derived ECGs in patients with Long QT syndrome compared with the current standard (12-lead ECG and ambulatory monitors)	From enrollment to 3 months
2. Establish intra-patient QT variability from weekly Fitbit-ECGs and frequency of measurements over 500ms.	From enrollment to 3 months

Secondary Outcome Measures

Name	Time	Method
1. Establish the utility of wearable devices for determining symptom aetiology in LQTS.	From enrollment to 3 months
2. Develop pipelines for the analysis of ECG data collected remotely including use of in-house QT automated algorithms for future machine learning applications.	From enrollment to 3 months

Trial Locations

Locations (1)

Barts and London Hospital NHS Trust; 🇬🇧 London, United Kingdom