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towards virtual risk assessment for patient-specific stratification in Brugada syndrome

Project description

Personalised risk stratification for rare cardiac arrhythmias

Brugada syndrome (BrS) is an inherited heart condition associated with abnormal electrical activity that can trigger sudden ventricular fibrillation. Current patient stratification relies on statistical scores rather than biomarkers, which do not reliably predict the risk of sudden cardiac arrest in asymptomatic patients. With the support of the Marie Skłodowska-Curie Actions programme, the Br-TRAP project aims to address this unmet clinical need by developing patient-specific computational simulations of heart electrophysiology to simulate arrhythmia onset. By calibrating the model using patient-specific electrocardiography data, Br-TRAP will shift risk stratification to a personalised diagnostic approach.

Objective

The Br-TRAP project addresses the current gap in risk stratification for asymptomatic patients affected by Brugada Syndrome (BrS). BrS is an electrophysiological (EP) disease that manifests in a localized substrate in the right ventricular outflow tract of patients, generating a specific ECG pattern in V1-V2 leads. BrS is associated to sudden presentation of ventricular fibrillation (VF) in patients, to date risk stratification is based on risk scores and severely underperforms in asymptomatic cohorts due to lack of significant risk markers.
Br-TRAP uses computational simulations of cardiac EP to define a patient specific virtual BrS substrate and use it to simulate the onset of arrhythmia and infer the conditions that precipitate VF in BrS patients. The substrate will be validated with experimental data and will be used to identify arrhythmic risk for each condition.
Then, the virtual substrate will be embedded into an anatomically accurate torso and heart to calibrate the model using patient specific ECG. By establishing a relationship between surface leads and BrS substrate, risk stratification becomes patient specific and mechanistically driven.
Br-TRAP will output two innovative results. First, the virtual substrate will be a software platform to generate virtual EP experiments that fosters standardization and reproducibility of computational results, while also lowering the degree of expertise needed to perform complex computational simulations. Second, the calibration methods used to tailor the virtual substrate to patient specific data will provide a innovative pipeline that mechanistically link common clinical measures with information that can only be acquired invasively.
Br-TRAP shifts risk stratification from a primarily statistical approach to a personalized one centered on identifying the causes of VF in each patient. This paradigm shift adds new information to current diagnostic procedures and opens a new approach to substrate based diseases.

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HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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(opens in new window) HORIZON-MSCA-2025-PF

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Coordinator

MEDIZINISCHE UNIVERSITAT GRAZ
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 214 344,72
Address
NEUE STIFTINGTALSTRASSE 6
8010 GRAZ
Austria

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Region
Südösterreich Steiermark Graz
Activity type
Higher or Secondary Education Establishments
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Total cost

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