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

NCT02411279 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 20

Last updated 2017-05-19

No results posted yet for this study

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.

Conditions

Interventions

OTHER

Equiped group with telemedicine systems

Sponsors & Collaborators

  • University Hospital, Strasbourg, France

    lead OTHER

Principal Investigators

  • ANDRES Emmanuel, MD, PhD · Strasbourg University Hospital, France

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2015-06-30
Primary Completion
2017-09-30
Completion
2017-09-30

Countries

  • France

Study Locations

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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 NCT02411279 on ClinicalTrials.gov