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CORDIS

INDIVIDUALISED CARE FROM EARLY RISK OF CARDIOVASCULAR DISEASE TO ESTABLISHED HEART FAILURE

Descrizione del progetto

Modellizzazione basata sull’IA per valutare la risposta alla terapia dei pazienti con malattie cardiovascolari

Le malattie cardiovascolari rimangono una delle principali cause di morbilità e mortalità, nonostante i notevoli progressi terapeutici, rappresentando un enorme onere per la società. Stili di vita non salutari e invecchiamento della popolazione ne contribuiscono alla crescente prevalenza. Il progetto iCARE4CVD, finanziato dall’UE, utilizza una modellizzazione basata sull’IA per valutare le variazioni del rischio e classificare i pazienti in base alle loro risposte alla terapia, tenendo conto anche dei fattori rilevanti per il paziente. I risultati saranno convalidati in grandi coorti nuove e in corso e in uno studio pilota per testare la previsione della risposta al trattamento utilizzando più biomarcatori, in contrasto con l’attuale approccio indifferenziato nel trattamento delle malattie cardiovascolari. Il progetto mira a fornire strumenti decisionali per una terapia individualizzata basata su sottogruppi recentemente individuati, con il coinvolgimento del paziente nell’intero processo.

Obiettivo

The burden of cardiovascular disease (CVD) on society is huge with >85 million people affected in Europe. The overall prevalence continues to grow due to unhealthy lifestyles and population aging. Heart failure (HF) is the final common pathway of all CVD and has a 5 year mortality rate of 20-50% despite significant advances in therapy.
iCARE4CVD aims to address this burden by contributing to three essential steps to improve the current care pathways, covering all stages from early risk to established HF: 1) early diagnosis to identify patients at risk of CVD and divide them into clinically meaningful subgroups; 2) risk stratification for these subgroups to define the urgency for intervention; and 3) prediction of treatment response for each subgroup. This will be achieved by the following steps: clinical partners will provide a large set of cohorts including >1,000,000 patients with a wide range of biomarkers (e.g. digital, blood, imaging). Anonymous access to data will be enabled by using a blockchain-supported federated database. Artificial intelligence-based modeling also considering patient relevant factors will assess changes in risk and stratify patients according to their individual responses to therapy. Results will then be prospectively validated in new and ongoing large cohorts and a pilot trial to test the prediction of treatment response by using multiple biomarkers going beyond current risk prediction (such as SCORE) towards individualized therapy. Results will be used to provide novel decision tools for each step targeting newly identified subgroups and as a blueprint for innovative future trials to individualise prevention and therapy. Patient involvement is key in every part of iCARE4CVD (e.g. patient advisory board) to build a motivational framework for self-care by patients. The project brings together an EU-wide consortium with the needed resources and expertise from the public and private side to bring iCARE4CVD to success.

Coordinatore

UNIVERSITEIT MAASTRICHT
Contribution nette de l'UE
€ 2 482 137,86
Indirizzo
MINDERBROEDERSBERG 4
6200 MD Maastricht
Paesi Bassi

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Regione
Zuid-Nederland Limburg (NL) Zuid-Limburg
Tipo di attività
Higher or Secondary Education Establishments
Collegamenti
Costo totale
€ 4 281 075,36

Partecipanti (30)

Partner (6)