ReCETT-AF: Realistic Computational Electrophysiology Simulations for the Targetted Treatment of Atrial Fibrillation

Sponsor
University of Edinburgh (Other)
Overall Status
Not yet recruiting
CT.gov ID
NCT05057507
Collaborator
King's College London (Other)
115
48

Study Details

Study Description

Brief Summary

The aim of this research is to classify patients by the dominant mechanism of continuous atrial electrical activation during atrial fibrillation. This approach seeks to improve on existing classifications which are based solely on the duration of the arrhythmia (<7 days,

7 days and >1 year). This is a cohort study. Patients undergoing clinically indicated electrophysiology study or AF ablation will have invasive assessment of cardiac electrophysiological profile at the time of their planned procedure, undergo 2-week ambulatory monitoring before and after the procedure, complete symptom questionnaires before and after their procedure and undergo atrial cardiac magnetic resonance imaging before their procedure.

Condition or Disease Intervention/Treatment Phase
  • Diagnostic Test: Atrial cardiac magnetic resonance imaging
  • Diagnostic Test: Atrial electro-anatomic mapping
  • Other: Atrial fibrillation symptom questionnaire
  • Diagnostic Test: Patch-based 2 week ambulatory monitor

Detailed Description

Atrial fibrillation is a common condition causing an irregular heartbeat, breathlessness and tiredness. Atrial fibrillation occurs owing to abnormalities in the electrical circuits controlling the upper heart chambers. Atrial fibrillation can be treated with a keyhole procedure called ablation. During ablation small areas in the heart are burnt away to stop the abnormal circuits causing atrial fibrillation. Unfortunately, ablation only works for 50-90% of people. We are not sure why, but possibly because the electrical circuits responsible are different in every heart. This research will examine how these electrical circuits can be identified and treated. A new system using computer modelling will be developed to identify the electrical circuits present. In the future we hope this approach could be used to design tailor-made treatments for each patient. A combination of computer studies and studies involving patients will be used to test this new approach in this study. For this study patients who are already planned to undergo an ablation procedure will be recruited providing data for three Work Packages. Consent will be sought to access routine investigations and data for research purposes (e.g. ECGs, blood tests, ambulatory monitoring, cardiac imaging, and outpatient clinical assessment); and collect extra data for research including additional cardiac imaging, a 2-week heart monitor pre- and post-ablation, and extra electrical measurements made during the ablation procedure.

Study Design

Study Type:
Observational
Anticipated Enrollment :
115 participants
Observational Model:
Cohort
Time Perspective:
Prospective
Official Title:
Realistic Computational Electrophysiology Simulations for the Targetted Treatment of Atrial Fibrillation
Anticipated Study Start Date :
Oct 31, 2021
Anticipated Primary Completion Date :
Oct 31, 2025
Anticipated Study Completion Date :
Oct 31, 2025

Arms and Interventions

Arm Intervention/Treatment
Atrial fibrillation patients undergoing radiofrequency catheter ablation

Up to 115 patients undergoing radiofrequency catheter ablation will be enrolled.

Diagnostic Test: Atrial cardiac magnetic resonance imaging
To include assessment of atrial size, shape, function, fibrosis and fat

Diagnostic Test: Atrial electro-anatomic mapping
To include assessment of atrial voltage and local activation time

Other: Atrial fibrillation symptom questionnaire
To include assessment of atrial fibrillation symptoms and quality of life

Diagnostic Test: Patch-based 2 week ambulatory monitor
To assess atrial fibrillation burden post-ablation

Outcome Measures

Primary Outcome Measures

  1. Proportion of patients with each mechanism of atrial fibrillation defined by computational modelling [4 years]

    The primary outcome is the creation of patient specific computational models for the investigation of atrial fibrillation mechanisms in patients. Mechanisms of atrial fibrillation will be defined based on computational modelling results and each patient will be assigned to the dominant mechanism of atrial fibrillation present.

Secondary Outcome Measures

  1. Atrial properties - atrial structural and functional properties will be compared between patients in each mechanistic atrial fibrillation group (as defined in Outcome 1) [4 years]

    The secondary outcome (1) is to determine which atrial properties are associated with each mechanism of atrial fibrillation in patients. Atrial structural and functional properties will be measured using atrial magnetic resonance imaging and invasive atrial electrophysiology; and quantified as follows: Atrial structure - volume (ml), sphericity (%); fibrosis burden (%); pericardial fat volume (ml); Atrial function - conduction velocity (m/s); refractoriness (ms); atrial electrical area (cm).

  2. Treatment effects - burden of atrial fibrillation in patients classified as 'successfully treated' compared to those classified as 'not successfully treated' using the modelling framework (as defined in Outcome 1) [4 years]

    The secondary outcome (2) is to determine how atrial properties can be modified using currently-available therapies to improve treatment for atrial fibrillation. Computer simulations will be performed in which the critical atrial properties (as defined in Outcome 2) are modified and actual treatment response will be compared to predicted treatment response by (A) correlating actual atrial fibrillation burden (% time in atrial fibrillation) with predicted atrial fibrillation burden (% time in atrial fibrillation) and (B) calculating diagnostic accuracy metrics (sensitivity, specificity, C-statistic) for prediction of atrial fibrillation inducibility and recurrence following ablation.

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years to 80 Years
Sexes Eligible for Study:
All
Inclusion Criteria:
  • Symptomatic paroxysmal atrial fibrillation or persistent atrial fibrillation diagnosed

  • within 24 months preceding the consent date.

  • Planned radiofrequency ablation for atrial fibrillation consisting of pulmonary vein isolation.

  • Able and willing to comply with study follow-up requirements

  • Able and willing to provide written informed consent

Exclusion Criteria:
  • Any clinical contra-indication to ablation

  • Any disease limiting life expectancy to < 1year

  • Contra-indication to MRI including renal dysfunction (eGFR<30ml/min)

  • Potential participant currently pregnant or breast feeding

  • Prior ablation, cardiac surgery or presence of any prosthetic valves

  • Myocardial infarction or percutaneous coronary intervention within 3 months preceding consent date

  • Hypertrophic cardiomyopathy or other inherited cardiac condition

  • Presence / likely implant of any pacemaker, cardiac resynchronization therapy device or implantable defibrillator within 1 year

  • Enrolment in an existing interventional atrial fibrillation study which alters treatment or follow-up.

  • Use of amiodarone for any indication within 6 months prior to the planned ablation procedure

  • Use of any anti-arrhythmic drug for an arrhythmia indication other than atrial fibrillation

  • Prior documented cavotricuspid isthmus dependent right atrial flutter and planned cavotricuspid isthmus ablation to be performed at the time of atrial fibrillation ablation

  • Unable to understand verbal or written explanations given in English or German as appropriate.

Contacts and Locations

Locations

No locations specified.

Sponsors and Collaborators

  • University of Edinburgh
  • King's College London

Investigators

  • Principal Investigator: Mark D O'Neill, FRCP, Guy's and St Thomas' NHS Foundation Trust London
  • Principal Investigator: Neil Grubb, FRCP, NHS Lothian, Edinburgh
  • Principal Investigator: Andreas Rillig, MD, University Heart and Vascular Center, Hamburg

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
University of Edinburgh
ClinicalTrials.gov Identifier:
NCT05057507
Other Study ID Numbers:
  • AC20151
First Posted:
Sep 27, 2021
Last Update Posted:
Oct 8, 2021
Last Verified:
Oct 1, 2021
Individual Participant Data (IPD) Sharing Statement:
No
Plan to Share IPD:
No
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Additional relevant MeSH terms:

Study Results

No Results Posted as of Oct 8, 2021