PPG to Predict Ejection Fraction and Other Echographic Data in the General Population
NCT ID: NCT04843371
Last Updated: 2024-12-20
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
500 participants
OBSERVATIONAL
2021-08-20
2026-04-30
Brief Summary
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Finally, the investigators are also aiming to investigate the association between signals obtained from PPG in the general population to cardioechographic findings such as, valvular heart disease, structural heart diseases, cardiomyopathies, pericardial disease etc.
Detailed Description
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The investigators will analyze the association between each echographic imaging feature, and the PPG waveform obtained. PPG waveform features will be used to develop a predictive model capable of calculating an estimate of ventricular ejection fraction without echocardiography. All echocardiograms will be performed by experienced operators at Tulane Medical Center facilities. The study will occur at a single study site Tulane Medical Center and clinics, with appropriate facilities and equipment to conduct the study accurately and safely.
An experienced echocardiogram technician or cardiology fellow will collect the PPG recordings using the Biostrap application. De-identified echocardiogram reports, including information on LVEF will be matched with the participant's pulse report.
Conditions
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Keywords
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Study Design
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OTHER
CROSS_SECTIONAL
Study Groups
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Patient Group
All patients undergoing an echocardiogram at Tulane Medical Center may be asked to participate in the study. Doctors, including PI and co-PI, will identify eligible patients from their clinic using their clinical knowledge and expertise and the patients' medical history and records. They will provide patients with information regarding the study and if interested, patients will be consented prior to their scheduled echocardiogram.
Photoplethysmography
Photoplethysmography (PPG) is a non-invasive technique that can detect volumetric changes in the peripheral blood. It only requires skin contact and relies on light absorption. PPG is a good indicator of the cardiovascular dynamics in the human body. PPG has been incorporated into various new smartphones and wearable devices such as, smartwatches and fitness wristbands making it readily available to all consumers. This sensor can record biometrics such as, heart rate, blood pressure, oxygen saturation, etc.
Interventions
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Photoplethysmography
Photoplethysmography (PPG) is a non-invasive technique that can detect volumetric changes in the peripheral blood. It only requires skin contact and relies on light absorption. PPG is a good indicator of the cardiovascular dynamics in the human body. PPG has been incorporated into various new smartphones and wearable devices such as, smartwatches and fitness wristbands making it readily available to all consumers. This sensor can record biometrics such as, heart rate, blood pressure, oxygen saturation, etc.
Eligibility Criteria
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Inclusion Criteria
* Patients scheduled to undergo an echocardiogram at Tulane Medical Center.
Exclusion Criteria
* Participants with cognitive impairments.
* Participants with a physical inability to wear the Biostrap during the echocardiogram.
* Individuals who cannot read, speak, and/or understand English.
18 Years
120 Years
ALL
Yes
Sponsors
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Tulane University
OTHER
Responsible Party
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Principal Investigators
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Nassir Marrouche, MD
Role: PRINCIPAL_INVESTIGATOR
Tulane University
Locations
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Tulane University Medical Center
New Orleans, Louisiana, United States
Countries
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Central Contacts
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Facility Contacts
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Quintrele Jones, MPH
Role: primary
References
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McDonagh TA, McDonald K, Maisel AS. Screening for asymptomatic left ventricular dysfunction using B-type natriuretic Peptide. Congest Heart Fail. 2008 Jul-Aug;14(4 Suppl 1):5-8. doi: 10.1111/j.1751-7133.2008.tb00002.x.
Dargie HJ. Effect of carvedilol on outcome after myocardial infarction in patients with left-ventricular dysfunction: the CAPRICORN randomised trial. Lancet. 2001 May 5;357(9266):1385-90. doi: 10.1016/s0140-6736(00)04560-8.
Priori SG, Blomstrom-Lundqvist C, Mazzanti A, Blom N, Borggrefe M, Camm J, Elliott PM, Fitzsimons D, Hatala R, Hindricks G, Kirchhof P, Kjeldsen K, Kuck KH, Hernandez-Madrid A, Nikolaou N, Norekval TM, Spaulding C, Van Veldhuisen DJ; ESC Scientific Document Group. 2015 ESC Guidelines for the management of patients with ventricular arrhythmias and the prevention of sudden cardiac death: The Task Force for the Management of Patients with Ventricular Arrhythmias and the Prevention of Sudden Cardiac Death of the European Society of Cardiology (ESC). Endorsed by: Association for European Paediatric and Congenital Cardiology (AEPC). Eur Heart J. 2015 Nov 1;36(41):2793-2867. doi: 10.1093/eurheartj/ehv316. Epub 2015 Aug 29. No abstract available.
Betti I, Castelli G, Barchielli A, Beligni C, Boscherini V, De Luca L, Messeri G, Gheorghiade M, Maisel A, Zuppiroli A. The role of N-terminal PRO-brain natriuretic peptide and echocardiography for screening asymptomatic left ventricular dysfunction in a population at high risk for heart failure. The PROBE-HF study. J Card Fail. 2009 Jun;15(5):377-84. doi: 10.1016/j.cardfail.2008.12.002. Epub 2009 Jan 21.
Redfield MM, Rodeheffer RJ, Jacobsen SJ, Mahoney DW, Bailey KR, Burnett JC Jr. Plasma brain natriuretic peptide to detect preclinical ventricular systolic or diastolic dysfunction: a community-based study. Circulation. 2004 Jun 29;109(25):3176-81. doi: 10.1161/01.CIR.0000130845.38133.8F. Epub 2004 Jun 7.
Blanie A, Soued M, Benhamou D, Mazoit JX, Duranteau J. A Comparison of Photoplethysmography Versus Esophageal Doppler for the Assessment of Cardiac Index During Major Noncardiac Surgery. Anesth Analg. 2016 Feb;122(2):430-6. doi: 10.1213/ANE.0000000000001113.
Chan GS, Middleton PM, Celler BG, Wang L, Lovell NH. Automatic detection of left ventricular ejection time from a finger photoplethysmographic pulse oximetry waveform: comparison with Doppler aortic measurement. Physiol Meas. 2007 Apr;28(4):439-52. doi: 10.1088/0967-3334/28/4/009. Epub 2007 Mar 20.
Middleton PM, Chan GS, O'Lone E, Steel E, Carroll R, Celler BG, Lovell NH. Changes in left ventricular ejection time and pulse transit time derived from finger photoplethysmogram and electrocardiogram during moderate haemorrhage. Clin Physiol Funct Imaging. 2009 May;29(3):163-9. doi: 10.1111/j.1475-097X.2008.00843.x. Epub 2009 Jan 22.
Nachman D, Gepner Y, Goldstein N, Kabakov E, Ishay AB, Littman R, Azmon Y, Jaffe E, Eisenkraft A. Comparing blood pressure measurements between a photoplethysmography-based and a standard cuff-based manometry device. Sci Rep. 2020 Sep 30;10(1):16116. doi: 10.1038/s41598-020-73172-3.
Other Identifiers
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2021-441
Identifier Type: -
Identifier Source: org_study_id