Combine clinical, biological and morphological data from 14 French and European cohorts into a single database.
The MORPHEUS project is an international translational research programme selected and funded by the European call for proposals HORIZON-HLTH-2022-TOOL-11-01. This programme is coordinated by France (Brest University Hospital, INNOVTE, Inserm). This programme brings together all scientific disciplines and involves eight European countries: France, the Netherlands, Spain, Germany, Switzerland, Poland, Sweden and Denmark. Based on quantitative and qualitative approaches, the MORPHEUS project will combine clinical, biological and morphological biomarkers (precision medicine: based on systematic literature reviews and cohort fusion) and socio-anthropological markers (personalised medicine: socio-anthropological interviews) in a risk prediction tool integrated into a shared medical decision-making process to aid therapeutic decision-making (duration and treatment modalities). The objective is to validate a time-dependent, multi-level tool integrated into a shared medical decision-making process to optimise long-term treatment of unprovoked venous thromboembolic disease (VTED) in a randomised stepped wedge cluster trial. MC-MORPHEUS is a key phase of the MORPHEUS project aimed at identifying discriminatory biomarkers predictive of risk (thromboembolic recurrence, bleeding, mortality) that will form the basis of the MORPHEUS project's prediction tool. The aim of the 'MC-MORPHEUS' project is therefore to combine, in a single database, clinical, biological and morphological data from European cohort databases of patients with VTE who have been monitored over several months and years. This combination of European cohort databases will increase the chances of identifying discriminating clinical, biological and morphological biomarkers for risk prediction. The identified and selected biomarkers will then be incorporated into the risk prediction tool, which will be validated in the ETHER cluster study of the MORPHEUS programme.
Study Type
OBSERVATIONAL
Enrollment
20,000
Chu Brest
Brest, France
RECRUITINGConsistency between merged data and initial data from each cohort
The primary outcome is the consistency between the merged dataset and the original data from each cohort, assessed by comparing key variables across sources to ensure data integrity and accuracy. Consistency will be defined as the absence of significant discrepancies in predefined variables, such as demographic characteristics, baseline measures, and primary endpoints.
Time frame: Processing of data from the fourth quarter of 2024 to the third quarter of 2025.
Risk of thromboembolic recurrence
Time frame: 20 YEARS
Risk of hemorrhagic complications
Time frame: 20 YEARS
Risk of death
Time frame: 20 YEARS
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