Artificial Intelligence-enhanced Electrocardiogram Diagnoses and Predicts Future Regurgitant Valvular Heart Diseases
- Conditions
- Electrocardiogram, Valvular Heart Disease
- Interventions
- Other: No intervention
- Registration Number
- NCT06475157
- Lead Sponsor
- Shanghai Zhongshan Hospital
- Brief Summary
This is a retrospective study to establish models for the prediction of future valvular heart diseases with artificial intelligence-enhanced electrocardiogram (ECG).
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 500000
- Subjects that received ECG and echocardiography tests during a date frame.
- Subjects who is younger than 18 years of age.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description Patient group without progression of valvular heart diseases No intervention - Patient group with progression of valvular heart diseases No intervention -
- Primary Outcome Measures
Name Time Method Progression of valvular heart diseases 15 years There would be echo records of subjectes of the study during follow-up. So for subjects with baseline none or mild valvular heart diseases, including mitral regurgitation, aortic regurgitation, and tricuspid regurgitation, there might be some with progression to moderate or severe valvular heart diseases, and some other without this progression. The primary outcome of the study would be the progression of valvular heart diseases from none or mild to moderateor severe, as assessed by echocardiography.
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (2)
Hammersmiths Hospital
🇬🇧London, United Kingdom
180 Fenglin Road
🇨🇳Shanghai, China