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Risk Profile for Patients With Atrial Fibrillation

Identification of a Risk Profile to Guide Atrial Fibrillation Therapy

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT01510210
Enrollment
500
Registered
2012-01-16
Start date
2011-04-30
Completion date
2025-03-31
Last updated
2023-11-29

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

Conditions

Atrial Fibrillation

Keywords

Atrial Fibrillation, Arrhythmia, Rhythm control

Brief summary

The objective of this study is to assess the risk profile in patients with atrial fibrillation, which represents the degree of changes in the atrial tissue and which can help predict in which patients rhythm control will be successful. This risk profile will consist of a combination of underlying (heart) disease and risk factors, measurements obtained from echocardiograms, and circulating biomarkers. Ultimately this risk profile can be used to guide type of rhythm control therapy in individual patients with atrial fibrillation.

Detailed description

Atrial fibrillation is responsible for substantial morbidity and mortality.Identification of patients with atrial fibrillation that is difficult to treat may improve the outcome of rhythm control therapy. Left atrial size could be a useful tool to select patients that will benefit from rhythm control therapy.Beside echocardiographic parameters,atrial fibrillation has been also associated with circulating biomarkers in blood like collagen metabolism, inflammatory mediators,neurohumoral factors and proteins/proteomic profiles. Beside more accepted risk factors (myocardial ischemia, diabetes and pulmonary disease)other less well-known clinical factors (sleep apnea, alcohol or other intoxication abuse, excessive physical activity, esophageal problems and increased body mass index) may also predict the outcome of rhythm control.It likes also plausible that recurrent atrial fibrillation within one month after start of rhythm control are associated with a different risk profile than late atrial fibrillation recurrence.During this study we will try to identify patients with atrial fibrillation who are more or less likely to respond to rhythm control therapy.

Interventions

None listed

Sponsors

Netherlands Heart Foundation
CollaboratorOTHER
I.C. Van Gelder
Lead SponsorOTHER

Study design

Observational model
CASE_ONLY
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Short-lasting symptomatic paroxysmal or persistent AF; * Rhythm control strategy is preferred; * No contra-indication for oral anticoagulation; * Age \> 18 years; * Written informed consent

Exclusion criteria

* Total history of heart failure and/ or of severe valvular disease \> 3 years; * Severe valvular disease; * Acute coronary syndrome/ myocardial infarction/ percutaneous coronary intervention/ coronary artery bypass surgery within the past one month; * Post-operative AF.

Design outcomes

Primary

MeasureTime frameDescription
Success of rhythm control12 month(1) \< 1 second AF on end-of-study ECG; (2) \< 30 seconds AF on end-of-study 48-hour Holter recording; (3) no AF on end-of-study 2 weeks Vitaphone ECG-card recording.

Secondary

MeasureTime frameDescription
Failure of rhythm control, i.e. permanent AF1+3+6+9+12 monthfailure of rhythm control medication or electric cardioversion.
Risk profiles associated with early versus late AF recurrence1month and 12 monthThese parameters include underlying (heart) disease and risk factors (including age, family history for AF, signs of ischemia, coronary risk factors, pulmonary disease, diabetes, obesity, sleep apnea, esophageal problems), lifestyle (including caffeine and alcohol intake, exercise), autonomic trigger patterns of AF (i.e. vagal or adrenergic induced AF, or combination
Progression of paroxysmal AF to persistent or permanent AF and of persistent AF to permanent AF1+3+6+9+12 monthclinical commplaints and 3-lead Holter monitoring will be used for assessing the onset of AF episode
Time to recurrence of (a)symptomatic AF1+3+6+9+12 monthby assessment Percentage AF-burden on 24-holter during follow up
Cardiovascular morbidity and mortality1month and 12monthhospitalization for cardiovascular reasons, non-cardiovascular and cardiovascular death will be carefully monitored through-out the study.
Pulmonary vein ablation1month, 3month, 6month, 9 month, 12monthhospital admission for pulmonary vein ablation will be monitoring during the study.
Pathophysiological mechanisms associated with AF and success of rhythm controlbaseline-12 monthsTo study pathophysiological mechanisms of AF, e.g. collagen mediated or inflammation mediated AF
Changes in atrial and ventricular echocardiographic parameters1month and 12 monthEchocardiographic measures of LA size (LA size parasternal long axis view, LA volume,LA ejection fraction measurement, electro-echocardiographic parameters (Tissue Doppler total atrial conduction time (during sinus rhythm), AF cycle length and velocity (during AF)), and parameters of diastolic dysfunction, including E (early mitral valve flow velocity), A (late mitral valve flow velocity), E/A ratio, deceleration time, E' (early tissue Doppler lengthening velocity), and E/E' ratio

Countries

Netherlands

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 22, 2026