Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
1500 participants
OBSERVATIONAL
2021-09-20
2022-12-30
Brief Summary
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It is estimated that 20-40% of these hospitalizations are preventable by known interventions: home telemonitoring, care coordination, therapeutic intensification and therapeutic education. But these interventions only work if patients at high risk of rehospitalization are targeted to individualize management. In these patients, the risk of rehospitalization depends on clinical, biological, socioeconomic, care pathway, and location-related data. Existing predictive tools perform poorly due to three important limitations: non-use of unstructured clinical data, lack of integration of multimodal data, and weakness of the algorithmic approach.
The objective is to design and validate a predictive algorithm for the risk of rehospitalization in heart failure patients, using multiple data sources
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Detailed Description
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Conditions
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Study Design
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CASE_ONLY
RETROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
* Admitted to Montpellier University Hospital in 2017-2020
* For heart failure
Exclusion Criteria
18 Years
ALL
No
Sponsors
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University Hospital, Montpellier
OTHER
Responsible Party
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Principal Investigators
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Grégoire Mercier, PU PH
Role: PRINCIPAL_INVESTIGATOR
University Hospital, Montpellier
Locations
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Uh Montpellier
Montpellier, , France
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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RECHMPL21_0488
Identifier Type: -
Identifier Source: org_study_id
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