跳至主要内容
临床试验/NCT05207150
NCT05207150已完成不适用

Continuous Rhythm Monitoring With Implantable Cardiac Monitors And Wearable Devices With Real-time Smartphone Alerts During AF Episodes

Oxford University Hospitals NHS Trust2 个研究点 分布在 1 个国家目标入组 50 人开始时间: 2021年11月26日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
50
试验地点
2
主要终点
To assess the performance of the LINQ II™ ICM in sending real-time alerts to participants' smartphone and to Carelink (physicians web portal) during AF episodes longer than 30 minutes

研究概览

简要总结

Atrial fibrillation (AF) is the most common arrhythmia affecting 1.3 million people in the UK. AF causes an irregular and fast heartbeat, which makes the heart pump poorly. As a result, blood clots may form inside the heart and, if they travel to the brain, can lead to an AF-related stroke. Patients with AF have a risk of stroke five-times higher than patients with normal rhythm.

Anticoagulants make the blood less likely to clot and, thus, reduce the chances of an AF-related stroke. For most people, once anticoagulation is started it must be taken for the rest of their lives irrespective of the amount of AF someone has. However, anticoagulants make patients more prone to bleeding.

New studies have reported a lower stroke risk in patients with short and infrequent AF episodes. If there are long time gaps in between AF episodes, short periods of anticoagulation around the time of AF may be enough to avoid clots from forming and reducing the overall risk of bleeding. To use anticoagulants only when needed will require an accurate and reliable way to detect AF when it occurs and alert patients. New technologies, such as small heart monitors placed under the skin, watches and rings, can track the heart rhythm continuously and send real-time alerts to patients via mobile phone message if AF is detected.

The purpose of this study is to investigate if implantable cardiac monitors (LINQ II) and wearable devices (Apple Watch and CART-I ring) can detect AF episodes, send real-time alerts to patients and who will respond to these alerts within a short timeframe. The investigators will recruit 50 patients and follow them for six months. All participants will receive a LINQ II and a wearable device.

研究设计

研究类型
Interventional
分配方式
Non Randomized
干预模型
Parallel
主要目的
Other
盲法
None

入排标准

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

入选标准

  • Participant is willing and able to give informed consent for participation in the trial.
  • Male or Female aged 18 years or above.
  • Paroxysmal AF with symptoms, Holter recording and/or implantable device evidence of >1 but <15 episodes of AF in the last 3 months.
  • Persistent AF scheduled for repeat cardioversion (i.e. having had at least one prior cardioversion).
  • Currently have an Apple IOS or Android smartphone.

排除标准

  • Diagnosis of permanent AF.
  • Contra-indications for implantable cardiac monitor.
  • Visual or physical impairment that prevents ability to read and acknowledge smartphone/watch notifications.
  • Unable to comply with the follow-up schedule.
  • Do not have Apple IOS or android smartphone.

结局指标

主要结局

To assess the performance of the LINQ II™ ICM in sending real-time alerts to participants' smartphone and to Carelink (physicians web portal) during AF episodes longer than 30 minutes

时间窗: During follow-up (6 months)

Percentage of successful alerts sent by the LINQII™ ICM.

次要结局

  • To assess the performance of the Apple Watch and the Skylabs CART-I ring in sending real-time alerts to their smartphone apps and participants' engagement.(During follow-up (6 months))
  • To study participants' compliance wih the Apple Watch and the Skylabs CART-I ring(During follow-up (6 months))
  • To study the diagnostic accuracy of the Apple Watch and the Skylabs CART-I ring in the detection of AF episodes .(During the follow-up period (6 month)Apple Watch and Skylabs CART-I ring sensitivity, specificity, positive and negative predictive for AF episodes longer than 30 minutes.)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Tim Betts MD MBChB FRCP

Primary Investigator

Oxford University Hospitals NHS Trust

研究点 (2)

Loading locations...

相似试验