Wearable Devices Assist in the Detection, Screening, and Management of Major Diseases in Middle-aged and Elderly Populations
- Conditions
- Coronary StenosisParkinson DiseaseCerebral Arterial DiseasesThyroid DysfunctionHypertensionHeart FailurePeripheral Arterial Occlusive Disease
- Registration Number
- NCT06980064
- Lead Sponsor
- Tongji Hospital
- Brief Summary
The goal of this randomized controlled trial is to evaluate the effectiveness of wearable devices (Huawei smartwatches) in aiding the detection, and screening of major diseases (e.g., coronary artery disease, hypertension) in middle-aged and elderly populations aged 40-69 years with cardiovascular risk factors (e.g., smoking, diabetes, hypertension, dyslipidemia). The main questions it aims to answer are:
Does AI-assisted diagnosis using wearable device data improve the detection rate of coronary artery stenosis (CAD-RADS ≥3) compared to standard physician assessment without AI assistance?
Does the intervention reduce the incidence of coronary artery disease-related events (e.g., angina, myocardial infarction) within one year?
Researchers will compare the intervention group (AI model-assisted diagnosis based on Huawei smartwatch data) with the control group (standard assessment) to determine if the AI-aided smartwatch approach enhances diagnostic accuracy and clinical outcomes.
Participants will:
(Intervention group)Wear a Huawei smartwatch for 24 hours to collect physiological data (e.g., PPG signals, heart rate, motion).
Undergo baseline assessments, including medical history review, physical exams, and laboratory tests.
Receive a preliminary diagnosis from a general practitioner.
Complete a follow-up evaluation after one year to track cardiovascular events and other disease outcomes.
Undergo coronary CTA if suspected of coronary stenosis.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- NOT_YET_RECRUITING
- Sex
- All
- Target Recruitment
- 800
Not provided
Not provided
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Primary Outcome Measures
Name Time Method Coronary heart disease From enrollment to the diagnosis, generally within 1 week According to the results of coronary computed tomography angiography , coronary heart disease is diagnosed if the stenosis of the coronary artery exceeds 50% (CAD-RADS grade 3 and above).
- Secondary Outcome Measures
Name Time Method Major adverse cardiovascular events From enrollment to 1 year of follow-up Major adverse cardiovascular events, including myocardial infarction, stroke, aortic dissection, cardiac arrest and death from baseline to 1 year of follow-up
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