The objective of this study is to assess the risk profile in patients with atrial fibrillation, which represents the degree of changes (remodeling) in the atrial tissue and which can help to predict in which patients rhythm control will be successful. This risk profile will consist of a combination of underlying (heart) disease and risk factors, as measured with use of parameters obtained with echocardiography, circulating biomarkers and other relevant clinical data. Ultimately this risk profile can be used to guide type of (rhythm) control therapy in individual patients with atrial fibrillation.
Atrial fibrillation is responsible for substantial morbidity and mortality.Identification of patients with AF that is difficult to treat may improve the outcome of rhythm control therapy. Left atrial size or volume 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 seems also plausible that recurrent atrial fibrillation within one month after start of rhythm control is associated with a different risk profile than late atrial fibrillation recurrences.During this study we will try to identify patients with atrial fibrillation who are more or less likely to respond to rhythm control therapy.
Study Type
OBSERVATIONAL
Enrollment
503
University Medical center Groningen
Groningen, Provincie Groningen, Netherlands
assess the risk profile associated with success of rhythm control therapy at follow-up.
1\) \< 1 second AF on end-of-study ECG; (2) \< 30 seconds AF on end-of-study 48-hour Holter recording
Time frame: 12 months
Time to recurrence of (a)symptomatic AF;
by assessment Percentage AF-burden on 24-Holter during follow up
Time frame: 1+12+60 months
Failure of rhythm control, i.e. permanent AF;
\<1 second AF on ECG during rhythm control medication or after electric cardioversion.
Time frame: 1+12+60 months
Risk profiles associated with early versus late AF recurrence;
Parameters including underlying (heart) disease and risk factors (age, family history for AF, signs of ischemia, coronary risk factors, pulmonary disease, diabetes, obesity, sleep apnea, esophageal problems), lifestyle (caffeine and alcohol intake, exercise), autonomic trigger patterns of AF (i.e. vagal or adrenergic induced AF, or combination)
Time frame: 1+12+60 months
Progression of paroxysmal AF to persistent or permanent AF and of persistent AF to permanent AF
3-lead Holter monitoring will be used
Time frame: 1+12+60 months
Changes in atrial and ventricular echocardiographic parameters
Echocardiographic 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
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Time frame: 1+12+60 month
Cardiovascular morbidity and mortality
hospitalization for cardiovascular reasons, non-cardiovascular and cardiovascular death will be carefully monitored through-out the study.
Time frame: 1+12+60 months
Pulmonary vein ablation
hospital admission for pulmonary vein ablation will be monitoring during the study.
Time frame: 1+12+60 months
Differences in clinical profile and outcome between patients presenting at the emergency room and the outpatient department
collected parameters will be compared between these two groups.
Time frame: Baseline,12+60 months
relate risk profiles to quality of life
a quality of life questionnaire will be handed
Time frame: 1+12+60 months
biomarkers associated with success of rhythm control
biomarker profiles (collagen mediated, inflammation, neurohumoral) associated with underlying mechanism of AF
Time frame: baseline, 12 months, 60 months