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London Valvular Heart Disease and Reduced Ejection Fraction Detection in a Multi-ethnic Community Using Cardiac Ultrasound

London Valvular Heart Disease and Reduced Ejection Fraction Detection in a Multi-ethnic Community Using Cardiac Ultrasound

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05208567
Acronym
LOVE
Enrollment
500
Registered
2022-01-26
Start date
2023-03-14
Completion date
2026-09-02
Last updated
2026-02-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Heart Valve Diseases, Left Ventricular Dysfunction

Brief summary

Heart Valve Disease and Heart failure contribute to 25% of hospital emergency admissions while heart failure alone has become one of the most common causes for hospitalisation in people over the age of 65. The burden of disease is likely to be high in a multi-ethnic community but there is a paucity of data. Management of heart valve disease requires appropriate surveillance and timely surgery. Similarly heart failure management requires treatment with medications aimed at slowing prevention of symptoms and preventing premature death. The NHS long term plan priorities early detection and treatment of valve disease and heart failure in order to reduce the burden on emergency services and improve the health of the population. Diagnosis is made using cardiac ultrasound, however staff with the required skills-set are critically limited in the community. The investigators will train non-expert staff within primary care to perform abbreviated cardiac ultrasound to detect heart valve disease or heart failure. This will be opportunistic scanning to reduce healthcare footfall. All scans will be reviewed by an expert and the investigators will use the anonymised data to develop machine learning tools to begin working with academic partners to develop tools that can improve the reliability of diagnosis from ultrasound. The investigators hope to identify the proportion with the above conditions in a multi-ethnic community and assess the feasibility of developing a program where staff can be trained for community detection, streamlined referrals can be created bridging the gap between primary and secondary care, reducing hospital emergency admissions, while ensuring patients are managed optimally.

Interventions

DIAGNOSTIC_TESTEchocardiogram

Cardiac Ultrasound Scan - using an abbreviated protocol

Sponsors

Queen Mary University of London
Lead SponsorOTHER
Barts & The London NHS Trust
CollaboratorOTHER

Study design

Observational model
ECOLOGIC_OR_COMMUNITY
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
65 Years to No maximum
Healthy volunteers
No

Inclusion criteria

\- Greater or equal to 65 years old

Exclusion criteria

* Clinical diagnosis of Alzheimer's Disease or Vascular Dementia * Palliative Care patients.

Design outcomes

Primary

MeasureTime frameDescription
Number of participants within a North East London community over the age of 65yrs old with Valvular Heart Disease, as assessed by Cardiac Ultrasound12 monthsParticipants will be recruited while attending their routine health check at their GP practice and consented for a cardiac ultrasound to identify Valvular Heart Disease
Number of participants within a North East London community over the age of 65yrs old with Left Ventricular Systolic Dysfunction as assessed by Cardiac Ultrasound12 monthsParticipants will be recruited while attending their routine health check at their GP practice and consented for a cardiac ultrasound to identify Left Ventricular Systolic Dysfunction.
Diagnostic accuracy in identifying heart valve disease or left ventricular systolic dysfunction using abbreviated echocardiography following training protocols.12 monthsTrainees will be taught how to perform and interpret focussed cardiac ultrasound scans, their interpretations and performance will be measured against an expert's and compared.

Countries

United Kingdom

Contacts

CONTACTNabila Laskar, MBBS
nabila.laskar@nhs.net02073777000
CONTACTGuy Lloyd, MBBS
guy.lloyd1@nhs.net02073777000

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 24, 2026