NCT06887387

Brief Summary

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

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
80

participants targeted

Target at P50-P75 for all trials

Timeline
4mo left

Started Apr 2025

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress77%
Apr 2025Sep 2026

First Submitted

Initial submission to the registry

March 14, 2025

Completed
6 days until next milestone

First Posted

Study publicly available on registry

March 20, 2025

Completed
12 days until next milestone

Study Start

First participant enrolled

April 1, 2025

Completed
1.1 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 30, 2026

Completed
4 months until next milestone

Study Completion

Last participant's last visit for all outcomes

September 4, 2026

Expected
Last Updated

May 20, 2025

Status Verified

May 1, 2025

Enrollment Period

1.1 years

First QC Date

March 14, 2025

Last Update Submit

May 15, 2025

Conditions

Outcome Measures

Primary Outcomes (2)

  • 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 Outcomes (2)

  • 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

Interventions

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

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Patients with a diagnosis of long QT syndrome

You may qualify if:

  • 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

You may not qualify if:

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

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Barts and London Hospital NHS Trust

London, United Kingdom

RECRUITING

MeSH Terms

Conditions

Long QT Syndrome

Interventions

Wearable Electronic Devices

Condition Hierarchy (Ancestors)

Arrhythmias, CardiacHeart DiseasesCardiovascular DiseasesCardiac Conduction System DiseaseHeart Defects, CongenitalCardiovascular AbnormalitiesCongenital AbnormalitiesCongenital, Hereditary, and Neonatal Diseases and AbnormalitiesPathologic ProcessesPathological Conditions, Signs and Symptoms

Intervention Hierarchy (Ancestors)

Electrical Equipment and SuppliesEquipment and Supplies

Study Officials

  • William J Young, MBBS, PhD

    Queen Mary University of London and St Bartholomew's Hospital

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Target Duration
3 Months
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

March 14, 2025

First Posted

March 20, 2025

Study Start

April 1, 2025

Primary Completion

April 30, 2026

Study Completion (Estimated)

September 4, 2026

Last Updated

May 20, 2025

Record last verified: 2025-05

Data Sharing

IPD Sharing
Will not share

Locations