Anticipation and Detection of Heart Failure Decompensation With Automatic Treatment of Informations
e-INCA
1 other identifier
observational
20
1 country
1
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started Jun 2015
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
March 17, 2015
CompletedFirst Posted
Study publicly available on registry
April 8, 2015
CompletedStudy Start
First participant enrolled
June 1, 2015
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 1, 2017
CompletedStudy Completion
Last participant's last visit for all outcomes
September 1, 2017
CompletedMay 19, 2017
May 1, 2017
2.3 years
March 17, 2015
May 18, 2017
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
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]
Study Arms (2)
Groupe 1: experimental group
Equiped group with telemedicine systems
Groupe 2: control group
Non equiped group with telemedicine systems
Interventions
Eligibility Criteria
Population with heart failure stage II and III
You may qualify if:
- Population with heart failure stage II and III
You may not qualify if:
- Population whose age is less than 18 years
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Service de Médecine Interne, diabète et maladies métaboliques - Médicale B
Strasbourg, 67091, France
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
ANDRES Emmanuel, MD, PhD
Strasbourg University Hospital, France
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 17, 2015
First Posted
April 8, 2015
Study Start
June 1, 2015
Primary Completion
September 1, 2017
Study Completion
September 1, 2017
Last Updated
May 19, 2017
Record last verified: 2017-05