Actively Recruiting
AI-based Prediction of Cardiac Function Using Echocardiography and Body Composition Data (ECHO-FIT Study)
Led by Yonsei University · Updated on 2025-03-04
2000
Participants Needed
1
Research Sites
200 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
This prospective observational study (ECHO-FIT Study) aims to develop and validate a predictive model for cardiac function, particularly left ventricular ejection fraction (LVEF), by integrating echocardiographic measurements with body composition data obtained from the QCCUNIQ BC 720 device. The study plans to enroll 2,000 adult participants, comprising 1,000 individuals with normal LVEF (≥50%) and 1,000 with heart failure (LVEF \<50%), all of whom will undergo standard-of-care echocardiography and body composition analysis. By analyzing the relationships between key echocardiographic parameters (such as LVEF and diastolic function) and body composition measures (including fat mass, skeletal muscle mass, and total body water), we will develop a non-invasive prediction model capable of identifying individuals at higher risk of cardiac dysfunction. This innovative approach has the potential to enhance early detection and personalized management of heart failure, reduce dependence on resource-intensive diagnostic procedures, and ultimately improve patient outcomes.
CONDITIONS
Official Title
AI-based Prediction of Cardiac Function Using Echocardiography and Body Composition Data (ECHO-FIT Study)
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Aged 20 years or older.
- Undergoing a standard echocardiographic examination.
- Providing consent to undergo body composition analysis.
- Signing the informed consent form to voluntarily participate in the study.
You will not qualify if you...
- Having a physical or mental condition that makes it impossible to conduct an echocardiogram or perform body composition analysis.
- Deemed inappropriate for study participation by the researcher (e.g., unable to cooperate).
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
Yongin Severance Hospital
Yongin, Gyeonggi-do, South Korea, 16995
Actively Recruiting
Research Team
S
SungA Bae, MD., PhD.
CONTACT
I
In Hyun Jung, MD., PhD.
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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