ASAF

Optimization of noninvasive assessment of the substrate for atrial fibrillation

Coordinatore	UNIVERSITEIT MAASTRICHT    more  Organization address address: Minderbroedersberg 4-6 city: MAASTRICHT postcode: 6200 MD contact info Titolo: Dr. Nome: Ulrich Cognome: Schotten Email: send email Telefono: +31 43 3881077 Fax: +31 43 3884166
Nazionalità Coordinatore	Netherlands [NL]
Totale costo	75˙000 €
EC contributo	75˙000 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2009-RG
Funding Scheme	MC-IRG
Anno di inizio	2010
Periodo (anno-mese-giorno)	2010-04-01   -   2013-03-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	UNIVERSITEIT MAASTRICHT  Organization address address: Minderbroedersberg 4-6 city: MAASTRICHT postcode: 6200 MD contact info Titolo: Dr. Nome: Ulrich Cognome: Schotten Email: send email Telefono: +31 43 3881077 Fax: +31 43 3884166	NL (MAASTRICHT)	coordinator	75˙000.00

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 Obiettivo del progetto (Objective)

'Due to population aging , the incidence of atrial fibrillation (AF) increases tremendously. Although not lethal, AF reduces exercise capacity and strongly increases the risk of stroke. Despite significant progress in understanding the pathophysiology of AF, its treatment is still far from satisfactory. AF is a progressive disease. With time, paroxysmal AF becomes persistent, and the success rate of therapies declines. The progression of AF is related to a slow but steady process of remodeling in the atria, characterized by hypertrophy, replacement of muscle cells by connective tissue, and changes in gap junctions. The complexity of the propagating activation wavefront in the atria is a good measure of the disease stage. Current methods try to infer this complexity from frequency analysis. A truly spatio-temporal quantification of wavefront complexity requires invasive electrophysiological investigation. For broad-scale clinical practice, a noninvasive assessment from surface electrocardiograms (ECG) is needed. Our group is running an ambitious clinical study in which high-resolution ECGs are compared with invasive electrical data in the same patient. We propose to augment this study with computer modeling to provide insights in the relationship between disease states and ECG parameters. State-of-the-art methods will be used to compute propagating activation in 3-D models of the atria in different stages of disease. Using a realistic torso model, surface ECGs will be computed from the propagating activation, and the relation between wavefront complexity in the atria and spatial complexity of the ECG will be investigated. The model will be validated with our clinical and experimental data. As a result of this work, we expect to optimize diagnostic methods and choice of treatment for AF, and thus to help reduce the increasing socio-economic burden of this arrhythmia.'