Atrial Fibrillation Clinical Trial
— REMOTEOfficial title:
Early Detection of Atrial Fibrillation Using Mobile Technology in Cryptogenic Stroke Patients - REMOTE Study
The purpose of this study is to demonstrate the added value of mobile health (mHealth) to detect atrial fibrillation (AF) early in the care path of cryptogenic stroke and transient ischemic attack (TIA) patients.
Status | Recruiting |
Enrollment | 225 |
Est. completion date | February 2025 |
Est. primary completion date | February 2025 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Diagnosis of cryptogenic ischemic stroke or TIA - The patient or its legal representative is willing to sign the informed consent Exclusion Criteria: - History of AF or atrial flutter - Life expectancy of less than one year - Not qualified for ILR insertion - Indication or contraindication for permanent oral anticoagulants (OAC) at enrolment - Untreated hyperthyroidism - Myocardial infarction or coronary bypass grafting less than one month before the stroke onset - Presence of patent foramen ovale (PFO) and it is or was an indication to start OAC according to the European Stroke Organization guidelines - Inclusion in another clinical trial that will affect the objectives of this study - Not able to understand the Dutch language - Patient or partner not in possession of a smartphone |
Country | Name | City | State |
---|---|---|---|
Belgium | Ziekenhuist Oost-Limburg | Genk | Limburg |
Belgium | Jessa Hospital | Hasselt | Limburg |
Lead Sponsor | Collaborator |
---|---|
Ziekenhuis Oost-Limburg | Hasselt University, Jessa Hospital |
Belgium,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | AF detection with mHealth versus ILR - Percentage | Percentage of patients with AF detected | After 6 months of having an ILR inserted and using mHealth. | |
Secondary | AF detection with ILR - Percentage | Percentage of patients with AF detected | After 12 months of having an ILR inserted. | |
Secondary | AF detection with mHealth versus ILR - Time to first AF detection | Time to first AF detection | Baseline until end of study (after 12 months of having an ILR inserted). | |
Secondary | AF detection with mHealth versus ILR - Frequency | Frequency of AF episodes | Baseline until end of study (after 12 months of having an ILR inserted). | |
Secondary | AF detection with mHealth versus ILR - Duration | Duration of AF episodes | Baseline until end of study (after 12 months of having an ILR inserted). | |
Secondary | User experience and feeling of safety questionnaire | Questionnaire with a 7 point Likert scale | After 6 months of having an ILR inserted and using mHealth. | |
Secondary | Correlation between baseline characteristics and AF detection | Baseline characteristics include comorbidities, results of standard of care in-hospital stroke examinations and scores, relevant in-hospital therapy | Baseline until end of study (after 12 months of having an ILR inserted). | |
Secondary | Correlation between follow-up characteristics and AF detection | Follow-up characteristics include changes in therapy, number of relevant readmissions, mortality and healthcare-related costs | Baseline until end of study (after 12 months of having an ILR inserted). |
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