Improvement of an Algorithm to Detect Structural Heart Murmurs in Adult Patients Using Electronic Stethoscopes
1 other identifier
observational
125
1 country
1
Brief Summary
The main objective of this study is to evaluate a machine learning model's ability to detect murmurs indicative of structural heart disease ("structural murmur") by analyzing phonocardiogram waveforms-and simultaneous electrocardiogram waveforms when available-in multiple auscultatory positions per subject. Diagnosis of structural murmur will be confirmed by gold-standard echocardiography and reviewed by an expert panel of cardiologists.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Sep 2025
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
September 1, 2025
CompletedFirst Submitted
Initial submission to the registry
September 23, 2025
CompletedFirst Posted
Study publicly available on registry
October 1, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 1, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
May 1, 2026
CompletedOctober 1, 2025
September 1, 2025
5 months
September 23, 2025
September 23, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Primary outcome
Evaluate a machine learning model's ability to detect murmurs indicative of structural heart disease ("structural murmur") by analyzing phonocardiogram waveforms-and simultaneous electrocardiogram waveforms when available-in multiple auscultatory positions per subject. Diagnosis of structural murmur will be confirmed by gold-standard echocardiography and review by an expert panel of cardiologists.
6 months
Interventions
Use of the Eko CORE 500 digital stethoscope and 3M Littmann CORE Digital Stethoscope to auscultate and record cardiac phonocardiogram and (when available) electrocardiogram waveforms, as well as heart sounds.
Eligibility Criteria
Potential research subjects will be screened for eligibility from cardiology clinics, echocardiogram clinics, and inpatient areas. In order to be eligible, a patient must be 18+ years of age, have a documented history of structural heart disease, and has undergone an echocardiogram within the last 30 days. If a patient meets all of the specified inclusion criteria, and none of the specified exclusion criteria, the patient or their proxy will be approached to discuss participation in the study.
You may qualify if:
- + years old
- Patient or patient's legal healthcare proxy consents to participation
- Documented history of SHD
- Undergoing (or has undergone, within 30 days) a complete echocardiogram
- Willing to have heart recordings done with two different electronic stethoscopes
You may not qualify if:
- Patient or proxy is unwilling/unable to give written informed consent
- Unable to complete a complete echocardiogram, or none recent completed within the last 30 days
- No documented history of SHD
- Experiencing a known or suspected acute cardiac event
- Mechanical ventricular support (such as ECMO, LVAD, RVAD, BiVAD, Impella, intra-aortic balloon pumps, TAH, VentrAssist, DuraHeart, HVAD, EVAHEART LVAS, HeartMate, Jarvik 2000)
- Unwilling or unable to follow or complete study procedures
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Cox Medical Centers
Springfield, Missouri, 65807, United States
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
September 23, 2025
First Posted
October 1, 2025
Study Start
September 1, 2025
Primary Completion
February 1, 2026
Study Completion
May 1, 2026
Last Updated
October 1, 2025
Record last verified: 2025-09
Data Sharing
- IPD Sharing
- Will not share