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Readmission Risk of Patients With Heart Failure.

NCT04984928 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 1500

Last updated 2022-04-12

No results posted yet for this study

Summary

Heart failure (HF) is a frequent, serious, and costly chronic disease: it leads to 150,000 hospitalizations each year in France at a cost of 525 million Euros.

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

Conditions

Sponsors & Collaborators

  • University Hospital, Montpellier

    lead OTHER

Principal Investigators

  • Grégoire Mercier, PU PH · University Hospital, Montpellier

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-09-20
Primary Completion
2022-12-01
Completion
2022-12-30

Countries

  • France

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04984928 on ClinicalTrials.gov