Cardiomyopathies Clinical Trial
Official title:
Photoplethysmography (PPG) to Predict Ejection Fraction and Other Echographic Data in the General Population
NCT number | NCT04843371 |
Other study ID # | 2021-441 |
Secondary ID | |
Status | Completed |
Phase | |
First received | |
Last updated | |
Start date | August 20, 2021 |
Est. completion date | April 20, 2023 |
Verified date | December 2023 |
Source | Tulane University |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
The investigators are aiming to investigate the association between ejection fraction (EF) determined by echocardiography and signals obtained from Photoplethysmography (PPG) in the general population. The investigators are also aiming to investigate the association between blood pressure and signals obtained from PPG in the general population. 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.
Status | Completed |
Enrollment | 200 |
Est. completion date | April 20, 2023 |
Est. primary completion date | April 20, 2023 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years to 120 Years |
Eligibility | Inclusion Criteria: - Male or Female aged18 years or older. - Patients scheduled to undergo an echocardiogram at Tulane Medical Center. Exclusion Criteria: - Participants under 18 years of age. - 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. |
Country | Name | City | State |
---|---|---|---|
United States | Tulane University Medical Center | New Orleans | Louisiana |
Lead Sponsor | Collaborator |
---|---|
Tulane University |
United States,
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. — View Citation
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. — View Citation
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. — View Citation
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. — View Citation
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. — View Citation
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. — View Citation
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. — View Citation
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. — View Citation
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. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Association between obtained PPG waveforms and recorded ejection (EF) fractions. | 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. | Day 1 | |
Secondary | Association between blood pressure and PPG waveforms | The investigators will record the blood pressure of the patient twice during their visit. Then, the Artificial Intelligence (AI) staff member will do a predictive model to try and estimate the blood pressure based on the PPG waveform. | Day1 |
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