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Recruiting NCT06811519

NCT06811519 AI-based Prediction of Cardiac Function Using Echocardiography and Body Composition Data (ECHO-FIT Study)

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Clinical Trial Summary
NCT ID NCT06811519
Status Recruiting
Phase
Sponsor Yonsei University
Condition Heart Failure
Study Type OBSERVATIONAL
Enrollment 2,000 participants
Start Date 2025-02-24
Primary Completion 2027-12-31

Eligibility & Interventions

Sex All sexes
Min Age 20 Years
Max Age N/A
Study Type OBSERVATIONAL
Interventions
Body Composition Analyzer (ACCUNIQ BC720)

Eligibility Fast-Check

Enter your details for a quick preliminary check. This does not replace medical advice.

What to Expect as a Participant

This is an observational study. You will not receive an experimental treatment; researchers will collect data based on your existing condition or standard treatment.

This trial targets 2,000 participants in total. It began in 2025-02-24 with a primary completion date of 2027-12-31.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

Brief 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 Criteria

Inclusion Criteria: * 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. Exclusion Criteria: * 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).

Contact & Investigator

Central Contact

SungA Bae, MD., PhD.

✉ cardiobsa@yuhs.ac

📞 01023273578

Principal Investigator

In Hyun Jung, MD., PhD.

PRINCIPAL INVESTIGATOR

Severance Hospital

Frequently Asked Questions

Who can join the NCT06811519 clinical trial?

This trial is open to participants of all sexes, aged 20 Years or older, studying Heart Failure. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT06811519 currently recruiting?

Yes, NCT06811519 is actively recruiting participants. Contact the research team at cardiobsa@yuhs.ac for enrollment information.

Where is the NCT06811519 trial being conducted?

This trial is being conducted at Yongin, South Korea.

Who is sponsoring the NCT06811519 clinical trial?

NCT06811519 is sponsored by Yonsei University. The principal investigator is In Hyun Jung, MD., PhD. at Severance Hospital. The trial plans to enroll 2,000 participants.

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ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: September 2026  ·  Data Methodology