AI-based Prediction of Cardiac Function Using Echocardiography and Body Composition Data (ECHO-FIT Study)

Status: Recruiting
Location: See location...
Intervention Type: Diagnostic test
Study Type: Observational
SUMMARY

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.

Eligibility
Participation Requirements
Sex: All
Minimum Age: 20
Healthy Volunteers: t
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• 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.

Locations
Other Locations
Republic of Korea
Yongin Severance Hospital
RECRUITING
Yongin
Contact Information
Primary
SungA Bae, MD., PhD.
cardiobsa@yuhs.ac
01023273578
Backup
In Hyun Jung, MD., PhD.
saveheart@yuhs.ac
Time Frame
Start Date: 2025-02-24
Estimated Completion Date: 2028-12-31
Participants
Target number of participants: 2000
Treatments
Diagnostic Test: Scanning body composition analyzer and performing AI algorithms
Diagnostic Test: Scanning body composition analyzer and performing AI algorithms
Related Therapeutic Areas
Sponsors
Leads: Yonsei University

This content was sourced from clinicaltrials.gov