Cardiovascular Acoustics and an Intelligent Stethoscope (CAIS)

September 14, 2021 updated by: Papworth Hospital NHS Foundation Trust

Cardiovascular Acoustics and an Intelligent Stethoscope. An Observational Study to Collect Heart Sound Recordings From Patients to Understand the Acoustic Characteristics of Murmurs and Develop an Artificially Intelligent Stethoscope.

The aim of the project is to develop an artificial intelligence software capable of analysing heart sounds to provide early diagnosis of a variety heart diseases at an early stage. Since the invention of the stethoscope by Laennec in 1816, the basic design has not changed significantly. Our software could be coupled with existing electronic stethoscopes to create an 'intelligent' stethoscope that could be used by healthcare assistants or practice nurses to screen for sound producing heart diseases. It could also be used at home by patients who would otherwise go undiagnosed.

The study investigators at Cambridge University Engineering Department (CUED) have developed a proof-of-concept AI algorithm to detect heart murmurs. However, in order to accurately detect the specific pathology and severity underlying the murmur, more heart sound recordings (matched with the ground truth from the patient's echocardiogram) are required. Patients presenting to one of the partner hospitals requiring an echocardiogram as part of their routine care will be invited to consent to this study. Participation will entail recording of a patient's heart sounds using an electronic stethoscope as well as collection of routine clinical data and a routine clinical echocardiogram at a single routine out patient visit.

Study Overview

Status

Recruiting

Conditions

Detailed Description

This project will develop an AI algorithm which can be imported into a stethoscope to make it capable of automatically diagnosing any valve disease present and its severity. This will help GPs produce more accurate diagnoses, reduce costs by having fewer unnecessary referrals for echocardiogram, and produce more accurate diagnoses in countries where echocardiograms are not readily available due to their cost. Using a small sample of data as well as some which has been labelled by clinician auscultation, the team has created an award-winning AI algorithm capable of accurate detection of heart murmurs. However, in order to improve the accuracy and capability of this system more heart sound recordings from a range of diseases (matched with echocardiogram diagnosis) are required. The key to the success of this study will be to produce an AI algorithm that is more accurate than different grades of doctors at detecting the specific abnormality and severity underlying a heart murmur. This methodology will also provide a comprehensive study on acoustic characteristics of different heart sounds. So far all the acoustic characteristics of heart sounds taught to medical students are based on subjective opinion. This study will be able to objectively analyse these acoustic characteristics.

Study Type

Observational

Enrollment (Anticipated)

1150

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

      • Birmingham, United Kingdom, B15 2TH
        • Recruiting
        • University Hospitals Birmingham NHS Foundation Trust
        • Contact:
      • Cambridge, United Kingdom, CB2 0AY
      • London, United Kingdom, SE5 9RS
        • Recruiting
        • King's College Hospital NHS Foundation Trust
        • Contact:
      • London, United Kingdom, SE1 9RT
      • London, United Kingdom, W2 1NY
        • Recruiting
        • Imperial College Healthcare NHS Trust
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

2 weeks and older (ADULT, OLDER_ADULT, CHILD)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients attending cardiology clinics at the investigation sites who will be having an echocardiogram

Description

Inclusion Criteria:

  • Participant willing and able to give informed consent for participation in study
  • Participant to undergo an echocardiogram as part of their routine assessment

Exclusion Criteria:

  • Informed consent is not given
  • New York Heart Association (NYHA) functional class = 4

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Aortic Valve Stenosis (Adults)
30 patients with mild, 30 with moderate, and 30 with severe mitral regurgitation, using the BSE gradings [Wharton 2014].
Mitral Valve Regurgitation (Adults)
30 patients with mild, 30 with moderate, and 30 with severe mitral regurgitation, using the BSE gradings [Wharton 2014].
Aortic Regurgitation (Adults)
30 patients with mild, 30 with moderate, and 30 with severe aortic regurgitation, using the BSE gradings [Wharton 2014].
Mitral Stenosis (Adults)
30 patients with mild, 30 with moderate, and 30 with severe mitral stenosis, using the BSE gradings [Wharton 2014].
Mixed Valve Disease (Adults)
30 patients with mild, 30 with moderate, and 30 with severe mixed valve disease. Overall classification based on the most severe disease using the BSE gradings [Wharton 2014].
Ventricular Septal Defects (Paediatric Patients)
36 paediatric patients with mild, 37 with moderate, and 36 with severe ventricular septal defects, using gradings from [Samaan 1970].
Aortic Stenosis (Paediatric Patients)
36 paediatric patients with mild, 37 with moderate, and 36 with severe aortic stenosis
Pulmonary Stenosis (Paediatric Patients)
36 paediatric patients with mild, 37 with moderate, and 36 with severe pulmonary stenosis.
Patent Ductus Arteriosus (Paediatric Patients)
36 paediatric patients with mild, 37 with moderate, and 36 with severe patent ductus arteriosus, graded using ductal size [Arlettaz 2017].
No Disease (Paediatric Patients)
264 paediatric patients with no heart disease. Note that we are only taking recordings from those who have been referred for an echocardiogram with a suspected heart condition but are subsequently found to have no heart disease.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
To assess specificity of an algorithm for detecting clinically significant valve disease and congenital heart disease relative to the performance of General Practitioners
Time Frame: Day 1
We will obtain 4, 15 second heart sound recordings from patients (at the Aortic, Pulmonary, Mitral, and Tricuspid sites) using a Littmann 3200 electronic stethoscope.
Day 1

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Bushra Rana, MB BS, Imperial College Healthcare NHS Trust

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (ACTUAL)

October 24, 2019

Primary Completion (ANTICIPATED)

March 30, 2022

Study Completion (ANTICIPATED)

January 31, 2023

Study Registration Dates

First Submitted

June 21, 2020

First Submitted That Met QC Criteria

June 21, 2020

First Posted (ACTUAL)

June 24, 2020

Study Record Updates

Last Update Posted (ACTUAL)

September 16, 2021

Last Update Submitted That Met QC Criteria

September 14, 2021

Last Verified

September 1, 2021

More Information

Terms related to this study

Other Study ID Numbers

  • P02087

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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