Effectiveness of Artificial Intelligent Based mHealth System to Reduce ACS Patients Bleeding Events After PCI
- Conditions
- Acute Coronary SyndromePercutaneous Coronary InterventionBleeding
- Interventions
- Behavioral: AI based mHealth system
- Registration Number
- NCT03738930
- Lead Sponsor
- Chinese PLA General Hospital
- 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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 420
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.
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
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Arm && Interventions
Group Intervention Description AI based mHealth system follow-up group AI based mHealth system AI based mHealth system follow-up in ACS patients after PCI. ACS patients in this group will receive message to take more notice to bleeding events.
- Primary Outcome Measures
Name Time Method 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
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
The General Hospital of PLA
🇨🇳Beijing, Beijing, China