Project description
Multistate modeling to predict risk markers for AF
Atrial fibrillation (AF) is a severe medical condition often associated with increased mortality risk. The most common available diagnostical tool is Electrocardiogram (ECG). Numerous P wave indices (PWI) are associated with increased risk for adverse cardiovascular outcomes and mortality. The non-invasive signal-averaged electrocardiogram (SAECG) is more reliable for the detection of P wave prolongation as a risk marker for AF. However, available data analysing this issue are limited. The EU-funded SAECG project will perform P wave SAECGs in Framingham Heart Study (Boston, US) and LIFE Health Care Study (Leipzig, Germany) to investigate their role in AF incidence. The project will use multistate modeling phenomapping of AF to predict the corresponding lifetime risk.
Objective
Atrial fibrillation (AF) may be categorized as an epidemic disease associated with an increased risk for heart failure, thromboembolism, dementia and mortality. The underlying mechanisms behind AF describe multiple pathological states leading to various remodeling processes. One of the easiest available diagnostical tools is an electrocardiogram (ECG). Numerous P wave indices have been identified, demonstrating associations with increased risk for adverse cardiovascular outcomes and mortality. Prolonged signal-averaged P wave duration (SAPWD) measured from the non-invasive signal averaged electrocardiogram (SAECG) using a vector composite of filtered orthogonal leads accurately measures cardiac activation times. In comparison with analysis of a standard 12-lead ECG, the SAECG is superior in detection of P wave prolongation as a risk marker for AF. However, there are only limited data analyzing this issue.
Current project is aimed to perform P wave SAECGs in Framingham Heart Study (Boston, US) and LIFE Health Care Study (Leipzig, Germany) and to investigate their role in AF incidence. Furthermore, estimation of corresponding lifetime risk will be performed using multistate modeling phenomapping of AF, e.g. classification of AF patients based on a broad range of data (clinical, laboratory, ECG, echocardiography, biomarkers) predicting adverse clinical outcomes.
The current project represents an innovative and authentic multidisciplinary research in AF and includes different future perspectives. It paves the way for fruitful international cooperation with Framingham cohort - the one the most renowned epidemiological studies, intensive exchange of experience and researcher mobility as well as academical and practical implementation of cardiovascular epidemiology and prevention at European institution.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences sociology demography mortality
- engineering and technology materials engineering composites
- medical and health sciences health sciences public health epidemiology
- medical and health sciences basic medicine neurology dementia
- medical and health sciences clinical medicine cardiology
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2018
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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.
04109 Leipzig
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.