Anticipation and Detection of Heart Failure Decompensation With Automatic Treatment of Informations

• Conditions: Heart Failure
• Interventions: Other: Equiped group with telemedicine systems

• Registration Number: NCT02411279
• Lead Sponsor: University Hospital, Strasbourg, France

Brief Summary

Heart failure (HF) is a serious chronic disease with frequent readmissions, some of which can be prevented by early action. The management of HF is complex: long, often difficult and costly. In France, nearly one million people suffer from HF and 120,000 new cases are diagnosed every year. With the aging population, this number will continue to evolve and become a real public health problem. Within 10 to 20 years ahead, WHO projects that heart failure in either the 3 most common diseases in industrialized countries.

The objective of the project is to test an intelligent platform for monitoring at home, using non-intrusive sensors, patients with heart failure, particularly those with stage II and III NYHA. It will assist the medical automating the processing of information from these sensors to detect and report an early stage risk situations.

Patient monitoring, by a system of telemedicine tools associated with motivation and education helps significantly reduce the number of days of hospitalization becomes important when the patient is hospitalized for acute HF.

Detailed Description

Not available

Study Timeline

• Study First Submitted: 2015-03-17
• Study First Submitted QC: 2015-04-02
• Study First Posted: 2015-04-08
• Study Start: 2015-06
• Status Verified: 2017-05
• Last Update Submitted: 2017-05-18
• Last Update Posted: 2017-05-19
• Primary Completion: 2017-09
• Study Completion: 2017-09

Recruitment & Eligibility

• Status: UNKNOWN
• Sex: All
• Target Recruitment: 20

Inclusion Criteria

• Population with heart failure stage II and III

Exclusion Criteria

• Population whose age is less than 18 years

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Arm && Interventions

Group	Intervention	Description
Groupe 1: experimental group	Equiped group with telemedicine systems	Equiped group with telemedicine systems

Primary Outcome Measures

Name	Time	Method
Anticipation and detection of heart failure with automatic treatment of information derived from non intrusive sensors and devices	patient's medical data will be controlled remotely by health professional for the duration of hospital stay, up to 1 year]

Trial Locations

Locations (1)

Service de Médecine Interne, diabète et maladies métaboliques - Médicale B; 🇫🇷 Strasbourg, France