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Triple Cardiovascular Disease Detection With an Artificial Intelligence-enabled Stethoscope (TRICORDER)

Imperial College London logo

Imperial College London

Status

Active, not recruiting

Conditions

Heart Valve Diseases
Atrial Fibrillation
Heart Failure With Reduced Ejection Fraction
Heart Murmurs
Heart Failure
Congestive Heart Failure

Treatments

Device: AI-stethoscope

Study type

Interventional

Funder types

Other

Identifiers

NCT05987670
22HH8045

Details and patient eligibility

About

Heart failure (HF) is a condition in which the heart cannot pump blood adequately. It is increasingly common, consumes 4% of the UK National Health Service (NHS) budget and is deadlier than most cancers. Early diagnosis and treatment of HF improves quality of life and survival. Unacceptably, 80% of patients have their HF diagnosed only when very unwell, requiring an emergency hospital admission, with worse survival and higher treatment costs to the NHS. This is largely because General Practitioners (GPs) have no easy-to-use tools to check for suspected HF, with patients having to rely on a long and rarely completed diagnostic pathway involving blood tests and hospital assessment.

The investigators have previously demonstrated that an artificial intelligence-enabled stethoscope (AI-stethoscope) can detect HF in 15 seconds with 92% accuracy (regardless of age, gender or ethnicity) - even before patients develop symptoms. While the GP uses the stethoscope, it records the heart sounds and electrical activity, and uses inbuilt artificial intelligence to detect HF.

The goal of this clinical trial is to determine the clinical and cost-effectiveness of providing primary care teams with the AI-stethoscope for the detection of heart failure. The main questions it aims to answer are if provision of the AI-stethoscope:

  1. Increases overall detection of heart failure
  2. Reduces the proportion of patients being diagnosed with heart failure following an emergency hospital admission
  3. Reduces healthcare system costs

200 primary care practices across North West London and North Wales, UK, will be recruited to a cluster randomised controlled trial, meaning half of the primary care practices will be randomly assigned to have AI-stethoscopes for use in direct clinical care, and half will not. Researchers will compare clinical and cost outcomes between the groups.

Full description

Triple Cardiovascular Disease Detection with Artificial Intelligence-enabled Stethoscope (TRICORDER) is an open label, cluster randomised controlled trial. The aim is to determine whether use of an artificial intelligence-enabled stethoscope (AI-stethoscope) in UK Primary Care improves community-based detection of heart failure (HF), compared with usual care. 200 primary care practices in North West London (UK) will be randomised to receive the AI-stethoscope (intervention arm) or continue with usual care (control arm). The intervention arm will use the AI-stethoscope in routine clinical practice. Outcomes will be measured using pooled primary and secondary care clinical and cost-data, as well as clinician questionnaires.

Enrollment

200 patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Primary care practices that care for adult patients and have the ability to request natriuretic peptide blood testing
  • Primary care practices within the NIHR North West London Clinical Research Network or Betsi Cadwaladr University Health Board.

Exclusion criteria

  • Poor WiFi and/or mobile data connectivity within primary care consulting rooms
  • No face-to-face patient consultations

Trial design

Primary purpose

Diagnostic

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

200 participants in 2 patient groups

Intervention
Experimental group
Description:
Receive 3-6 AI-stethoscopes (Eko DUO, Eko Health Inc, CA, USA) including artificial intelligence software for detection of: 1. Reduced left ventricular ejection fraction \<40% 2. Atrial fibrillation 3. Cardiac murmurs
Treatment:
Device: AI-stethoscope
Control
No Intervention group
Description:
Usual care

Trial contacts and locations

1

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Central trial contact

Mihir Kelshiker, MD

Data sourced from clinicaltrials.gov

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