Summary
Sudden Sudden cardiac death (SCD) is a common cause of adult mortality in western countries, accounting in Europe for about 350 000 cases annually. Most SCDs are caused by ventricular arrhythmias generated from an arrhythmogenic ‘substrate’ present within the heart. Paradoxically, despite the existence of efficient preventive therapies, the sole available predictor of SCD is a measure of cardiac contractility, an indirect metric, which applies only to a subset of patients. At present, most patients at risk cannot be identified pre-emptively to prevent sudden death.
My aim is to develop a novel non-invasive body-surface mapping and pacing system, which will allow detection of cardiac signals related directly to the substrate responsible for lethal arrhythmias, for efficient SCD prediction.
The unique approach proposed to achieve this objective will consist in: (1) combining electrocardiographic mapping and ultrasonic pacing technologies during cardiac signal acquisition from a high-density array of body surface electrodes; (2) characterizing micro-scale temporal, spectral and spatial features of substrate signals, at baseline and during pacing to unmask hidden signals; (3) establishing critical signal features specific of arrhythmogenic substrates using multi-parametric signal analysis on the body surface, based on unique electrophysiological data from explanted human hearts and from SCD survivors; (4) developing risk prediction scores from well-phenotyped groups of patients monitored by implanted devices.
This project will constitute a new paradigm in clinical cardiac investigations and allow a major breakthrough in the prevention of premature arrhythmic deaths in the world. The capability of detecting and influencing cardiac electrical signals will also dramatically impact the management of populations suffering from other cardiac pathologies, enabling earlier diagnosis of heart disease, and better guidance to drug, interventional or preventive therapies.
My aim is to develop a novel non-invasive body-surface mapping and pacing system, which will allow detection of cardiac signals related directly to the substrate responsible for lethal arrhythmias, for efficient SCD prediction.
The unique approach proposed to achieve this objective will consist in: (1) combining electrocardiographic mapping and ultrasonic pacing technologies during cardiac signal acquisition from a high-density array of body surface electrodes; (2) characterizing micro-scale temporal, spectral and spatial features of substrate signals, at baseline and during pacing to unmask hidden signals; (3) establishing critical signal features specific of arrhythmogenic substrates using multi-parametric signal analysis on the body surface, based on unique electrophysiological data from explanted human hearts and from SCD survivors; (4) developing risk prediction scores from well-phenotyped groups of patients monitored by implanted devices.
This project will constitute a new paradigm in clinical cardiac investigations and allow a major breakthrough in the prevention of premature arrhythmic deaths in the world. The capability of detecting and influencing cardiac electrical signals will also dramatically impact the management of populations suffering from other cardiac pathologies, enabling earlier diagnosis of heart disease, and better guidance to drug, interventional or preventive therapies.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101054717 |
| Start date: | 01-09-2022 |
| End date: | 31-08-2027 |
| Total budget - Public funding: | 2 488 400,00 Euro - 2 488 400,00 Euro |
Cordis data
Original description
Sudden Sudden cardiac death (SCD) is a common cause of adult mortality in western countries, accounting in Europe for about 350 000 cases annually. Most SCDs are caused by ventricular arrhythmias generated from an arrhythmogenic ‘substrate’ present within the heart. Paradoxically, despite the existence of efficient preventive therapies, the sole available predictor of SCD is a measure of cardiac contractility, an indirect metric, which applies only to a subset of patients. At present, most patients at risk cannot be identified pre-emptively to prevent sudden death.My aim is to develop a novel non-invasive body-surface mapping and pacing system, which will allow detection of cardiac signals related directly to the substrate responsible for lethal arrhythmias, for efficient SCD prediction.
The unique approach proposed to achieve this objective will consist in: (1) combining electrocardiographic mapping and ultrasonic pacing technologies during cardiac signal acquisition from a high-density array of body surface electrodes; (2) characterizing micro-scale temporal, spectral and spatial features of substrate signals, at baseline and during pacing to unmask hidden signals; (3) establishing critical signal features specific of arrhythmogenic substrates using multi-parametric signal analysis on the body surface, based on unique electrophysiological data from explanted human hearts and from SCD survivors; (4) developing risk prediction scores from well-phenotyped groups of patients monitored by implanted devices.
This project will constitute a new paradigm in clinical cardiac investigations and allow a major breakthrough in the prevention of premature arrhythmic deaths in the world. The capability of detecting and influencing cardiac electrical signals will also dramatically impact the management of populations suffering from other cardiac pathologies, enabling earlier diagnosis of heart disease, and better guidance to drug, interventional or preventive therapies.
Status
SIGNEDCall topic
ERC-2021-ADGUpdate Date
09-02-2023
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