Acute Coronary Syndrome, Bleeding, Percutaneous Coronary Intervention
Conditions
Keywords
Acute Coronary Syndrome, Percutaneous coronary intervention, Bleeding
Brief summary
The present study was designed to observe the effectiveness of artificial intelligent based mHealth system(Chronic disease management system) to reduce bleeding events in ACS patients undergoing PCI.
Interventions
BEHAVIORALAI based mHealth system
AI based mHealth system is used to deliver self-management contral message and health education message to make patients take notice of bleeding events after PCI.
Sponsors
Chinese PLA General Hospital
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
age≥18 years, male or female; confirmed acute coronary syndrome patients; undergo percutaneous coronary intervention (PCI) treatment; good command of smart phones agree to participate in this clinical study and sign a written consent form.
Exclusion criteria
ACS admission deemed secondary to other cause such as traffic accidents, trauma, severe upper gastrointestinal bleeding, surgery, or procedure; patients who are not intend to attend 1 year of follow-up study or investigators find that patients are not able to comply with the study's requirements; pregnant women or lactating women; investigators consider patients who were not suitable for participation with other reasons
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| the incidence of major bleeding during each visit between normal group and smartphone based group | 3 months | Bleeding definition：According to the bleeding Academic Research Congress (BARC) standard |
Countries
China
Contacts
Primary ContactDandan Li, Master
Backup ContactYundai Chen, Master
Outcome results
None listed