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NCT Number: NCT06887387

Wearable Devices for Patient Monitoring in Long QT Syndrome

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

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Key information

Conditions

Long QT Syndrome Arrhythmias, Cardiac Cardiac Conduction System Disease Cardiovascular Abnormalities Cardiovascular Diseases Congenital Abnormalities Congenital, Hereditary, and Neonatal Diseases and Abnormalities Heart Defects, Congenital Heart Diseases Pathologic Processes Pathological Conditions, Signs and Symptoms

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Barts and London Hospital NHS Trust

London, United Kingdom

Location status: Recruiting

Location contact

William Young

CONTACT

[email protected]

07872533176

William Young

CONTACT

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

wearable device

Device

This is an observational study that does not impact routine clinical care for participants

Primary outcomes

  1. 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)

    Time frame: From enrollment to 3 months

  2. 2. Establish intra-patient QT variability from weekly Fitbit-ECGs and frequency of measurements over 500ms.

    Time frame: From enrollment to 3 months

Secondary outcomes

  1. 1. Establish the utility of wearable devices for determining symptom aetiology in LQTS.

    Time frame: From enrollment to 3 months

  2. 2. Develop pipelines for the analysis of ECG data collected remotely including use of in-house QT automated algorithms for future machine learning applications.

    Time frame: From enrollment to 3 months

Sponsors and collaborators

Lead sponsor

Queen Mary University of London

Other

Registry information

Official study title

Application of Wearable Devices for Remote QT Interval Monitoring and Symptom Investigation for Patients With Long QT Syndrome

Important dates

Study start
2025
Primary completion
2026
Study completion
2026
First posted
Mar 20, 2025
Registry last updated
May 19, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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