临床试验/NCT06887387

NCT06887387招募中不适用

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

Queen Mary University of London1 个研究点分布在 1 个国家目标入组 80 人开始时间: 2025年4月1日最近更新: 2026年5月19日

适应症

试验速览

阶段: 不适用
状态: 招募中
发起方: Queen Mary University of London
入组人数: 80
试验地点: 1
主要终点: 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)

研究概览研究设计入排标准结局指标研究者研究点记录与标识符相似试验

研究概览

简要总结

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

研究设计

研究类型: Observational
观察模型: Cohort
时间视角: Prospective

入排标准

年龄范围: 18 Years 至 —（Adult, Older Adult）
性别: All
接受健康志愿者: 否

入选标准

•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

排除标准

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

结局指标

主要结局

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)

时间窗: From enrollment to 3 months

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

时间窗: From enrollment to 3 months

次要结局

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)

研究者

发起方

Queen Mary University of London

申办方类型

Other

责任方

Sponsor

研究点 (1)

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