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

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age20+
SponsorYonsei University

About this trial

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

This trial accepts healthy volunteers

Qualifiers

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.

Disqualifiers

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).

Trial population

This study is conducted in patients who have undergone transthoracic echocardiography.

Trial design

Design model

Case-crossover

Time perspective

Prospective

Treatments tested in this trial

  • Body Composition Analyzer (ACCUNIQ BC720)

    Diagnostic test

    Body Composition Analyzer (ACCUNIQ BC720)

Treatment groups

2,000 Participants
are divided into 1 treatment group
Group A: Diagnostic Test: Scanning body composition analyzer and performing AI algorithms1 intervention

Trial outcomes

Primary outcomes

1

Left Ventricular Ejection Fraction < 50%

Prediction of Left Ventricular Ejection Fraction \< 50%

Time frame
within 1 week

Secondary outcomes

Other outcomes

Locations

1

Map coordinates are unavailable for these locations. Locations are shown below instead.

Yongin Severance HospitalRecruiting16995, Yongin, Gyeonggi-doSouth Korea

Sponsors and contacts

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