Readmission Risk of Patients With Heart Failure.

• Conditions: Chronic Heart Failure

• Registration Number: NCT04984928
• Lead Sponsor: University Hospital, Montpellier

Brief 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

Detailed Description

Not available

Study Timeline

• Study First Submitted: 2021-07-19
• Study First Submitted QC: 2021-07-29
• Study First Posted: 2021-08-02
• Study Start: 2021-09-20
• Status Verified: 2022-04
• Last Update Submitted: 2022-04-11
• Last Update Posted: 2022-04-12
• Primary Completion: 2022-12-01
• Study Completion: 2022-12-30

Recruitment & Eligibility

• Status: UNKNOWN
• Sex: All
• Target Recruitment: 1500

Inclusion Criteria

Not provided

Exclusion Criteria

Not provided

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
30 days all cause readmission rate	day 30	30 days all cause readmission rate

Secondary Outcome Measures

Name	Time	Method
90 days all cause readmission rate	day 90	90 days all cause readmission rate

Trial Locations

Locations (1)

Uh Montpellier; 🇫🇷 Montpellier, France