Prospective Database for Prediction of Atrial Fibrillation in Pacemaker and ICD Patients

NCT ID: NCT03357926

Last Updated: 2024-11-21

Basic Information

• Recruitment Status: RECRUITING
• Total Enrollment: 250 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2017-03-01
• Study Completion Date: 2025-12-31

Brief Summary

Atrial fibrillation (AF) is associated with a five-fold increased risk of cerebrovascular stroke. While the risk of stroke in patients with known AF can be calculated via AF stroke prediction risk scores, the prediction of AF occurrence per se in individual patients remains difficult.

We will recruit 250 patients with an implanted dual-chamber Pacemaker (PM) or an implantable cardioverter Defibrillator (ICD) with atrial lead to ensure continuous rhythm monitoring during follow up. At baseline, we will gather clinical and device data of patients. For AF prediction based on surface Electrocardiography (ECG), 24-h Holter ECG monitoring will be performed. After 6 months, we will assess the occurrence of AF during the study period via interrogation of PM/ICD. The resulting data will be used to develop algorithms including clinical, device and ECG data for prediction of the development of AF in individual patients. If possible, we will develop a risk score of high accuracy by combination of demographical, clinical and technical parameters of device patients. The resulting risk score could potentially help to facilitate the decision if anticoagulation is necessary in patients with either risk of AF or embolic stroke of unknown origin. Furthermore, Hayn et al. (AIT Austrian Institute of Technology) are currently developing algorithms to predict the occurrence of AF surface ECG data. It is an additional aim of this project to support the development of this algorithm in pacemaker and ICD patients and to increase the accuracy of AF prediction with clinical parameters and other parameters available to patients with implanted pacemaker (PM) or implanted cardioverter-defibrillator (ICD).

Conditions

Atrial Fibrillation; Pacemaker Ddd; ICD

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: PROSPECTIVE

Study Groups

Observation Group

24 hour Holter ECG Monitoring

Intervention Type: DIAGNOSTIC_TEST

24 hour Holter ECG Monitoring

Interventions

24 hour Holter ECG Monitoring

24 hour Holter ECG Monitoring

Intervention Type: DIAGNOSTIC_TEST

Eligibility Criteria

Inclusion Criteria

• Implanted pacemaker or implanted cardioverter defibrillator (ICD) with atrial lead
• CHADS-VASc Score of 2 or more
• Sinus rhythm or atrial paced rhythm
• Atrial stimulation rate 50% or less
• ModeSwitch rate 50% or less since last pacemaker interrogation

Exclusion Criteria

• pacemaker or ICD malfunction
• atrial fibrillation (AF) at time of pacemaker / ICD interrogation
• AF during 24-hour Holter ECG monitoring
• permanent AF

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Medical University of Graz

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Locations

Medical University of Graz

Graz, , Austria

Site Status: RECRUITING

Countries

Austria

Central Contacts

Daniel Scherr, Assoc.Prof. PD Dr.

Role: CONTACT

daniel.scherr@medunigraz.at

+4331638512544

Facility Contacts

Daniel Scherr, Assoc.Prof. PD Dr.

Role: primary

Other Identifiers

29-229 ex 16/17

Identifier Type: -

Identifier Source: org_study_id