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Readmission Risk of Patients With Heart Failure. (PREDIC)

University Hospital Center (CHU) logo

University Hospital Center (CHU)

Status

Unknown

Conditions

Chronic Heart Failure

Study type

Observational

Funder types

Other

Identifiers

NCT04984928
RECHMPL21_0488

Details and patient eligibility

About

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

Enrollment

1,500 estimated patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • All consecutive adults
  • Admitted to Montpellier University Hospital in 2017-2020
  • For heart failure

Exclusion criteria

  • age < 18 years

Trial contacts and locations

1

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Central trial contact

Grégoire Mercier, PU PH

Data sourced from clinicaltrials.gov

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