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Realistic Computational Electrophysiology Simulations for the Targetted Treatment of Atrial Fibrillation

Realistic Computational Electrophysiology Simulations for the Targetted Treatment of Atrial Fibrillation

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05057507
Acronym
ReCETT-AF
Enrollment
91
Registered
2021-09-27
Start date
2022-01-07
Completion date
2026-03-31
Last updated
2026-06-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Atrial Fibrillation

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.

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.

Interventions

DIAGNOSTIC_TESTAtrial cardiac magnetic resonance imaging

To include assessment of atrial size, shape, function, fibrosis and fat

DIAGNOSTIC_TESTAtrial electro-anatomic mapping

To include assessment of atrial voltage and local activation time

OTHERAtrial fibrillation symptom questionnaire

To include assessment of atrial fibrillation symptoms and quality of life

DIAGNOSTIC_TESTPatch-based 2 week ambulatory monitor

To assess atrial fibrillation burden post-ablation

Sponsors

University of Edinburgh
Lead SponsorOTHER
King's College London
CollaboratorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 80 Years

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.

Design outcomes

Primary

MeasureTime frameDescription
Proportion of patients with each mechanism of atrial fibrillation defined by computational modelling4 yearsThe 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

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

Countries

United Kingdom

Contacts

PRINCIPAL_INVESTIGATORMark D O'Neill, FRCP

Guy's and St Thomas' NHS Foundation Trust

PRINCIPAL_INVESTIGATORNeil Grubb, FRCP

NHS Lothian, Edinburgh

PRINCIPAL_INVESTIGATORAndreas Rillig, MD

University Heart and Vascular Center, Hamburg

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 6, 2026