Observational Study of PPG and Heart Health
This study is looking at how a non-invasive test called Photoplethysmography (PPG) relates to heart health information gathered from an echocardiogram (a type of heart ultrasound). Researchers want to see if PPG, which uses light to detect changes in blood flow, can help predict things like ejection fraction (how well your heart pumps blood) and identify conditions like valvular heart disease or cardiomyopathies (heart muscle diseases). You might be able to join if you are 18 or older and are already scheduled for an echocardiogram at Tulane Medical Center. The main goal is to find a connection between PPG readings and your ejection fraction on the day of your echocardiogram. The current status of this study is unclear.
- Study design
- This is an observational study planning to include 500 participants. It is a cross-sectional study, meaning data is collected at a single point in time.
- What's involved
- If you participate, your demographic, health habits, medications, and medical history will be collected from your electronic medical records. You will undergo an echocardiogram as part of your routine care, and PPG recordings will be taken at the same time using a wristband.
- Compensation
- Not stated in the trial record.
- Follow-up
- The primary endpoint, the association between PPG waveforms and ejection fraction, is measured at Day 1, indicating a short follow-up period.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
PPG to Predict Ejection Fraction and Other Echographic Data in the General Population
At a glance
Conditions
Where it's being run
3 sites across 1 statesStudy leadership
- Nassir Marrouche, MD · PRINCIPAL_INVESTIGATOR · Tulane University
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Association between obtained PPG waveforms and recorded ejection (EF) fractions.Day 1
Patients who will undergo echocardiogram will wear the biostrap watch and then the PPG waveform will be obtained. Then, the ejection fraction will be collected from the echocardiogram report. Then, the Artificial Intelligence (AI) staff member will do a predictive model to try and estimate the EF based on the PPG waveform.