Long QT Syndrome
Conditions
Brief summary
The main research question of this study is whether wearable devices have utility in monitoring patients with Long QT syndrome.
Interventions
DEVICEWearable device
This is an observational study that does not impact routine clinical care for participants
Sponsors
Queen Mary University of London
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
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
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| 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
| Measure | Time frame |
|---|---|
| 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 |
Countries
United Kingdom
Contacts
PRINCIPAL_INVESTIGATORWilliam J Young, MBBS, PhD
Queen Mary University of London and St Bartholomew's Hospital
Outcome results
None listed