Accuracy of Metagenomic Blood Sampling to Identify Pathogen in Infective Endocarditis Patients
NCT ID: NCT06309680
Last Updated: 2026-01-09
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ACTIVE_NOT_RECRUITING
200 participants
OBSERVATIONAL
2023-04-24
2026-10-01
Brief Summary
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We are very keen to improve the treatment of this disease and we are measuring the impact of the treatments that we give to patients so that we have a very clear idea of which treatments work best and also which treatments are less successful.
A key part of the treatment is the accurate determination of the causative organism which allows appropriate targeted antibiotic and antifungal medication to be administered.
Accurate antibiotic regimes require detection of the causative organism and its sensitivities to each antibiotic. Antibiotic choice is then based on effectiveness, toxicity, ease of use and national guidelines. The current best technique for identifying bacteria is blood culture where organisms are identified by growing them from blood samples. However, this takes up to 5 days from sampling, resulting in delays to the correct diagnosis. Until this time, treatment requires the use of generic, more toxic antibiotic regimes.
New techniques are emerging to identify causative organisms from blood. Metagenomics allows the sequencing of bacterial DNA allowing precise identification of the infecting organism.
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Detailed Description
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The current best technique for identifying bacteria is blood culture - organisms are identified by growing them from blood. However, this typically takes up to 5 days.
In up to 18% of patients, blood culture fails to identify a causative organism - Blood Culture Negative Infective Endocarditis (BCNIE). As a result, patients are treated with broader spectrum antibiotics which have greater toxicity than targeted regimens, resulting in higher complication rates. Alternative technologies to standard blood culture are therefore needed.
Clinical metagenomics (CMg) allows the sequencing of bacterial DNA from blood samples allowing precise, rapid identification of the pathogen. Hitherto, this technology was expensive and limited. New technology is changing the face of CMg and will potentially allow organisms to be rapidly identified at low cost.
Barts Heart Centre (BHC) is one of the largest cardiac centres in the world, managing 150 IE cases annually. Whilst mortality for IE remains high - 17.1% in the recently published EuroENDO study - in hospital mortality at Barts Heart Centre is \~13%.
The Quadram Institute (QI) is a Biotechnology and Biological Sciences Research Council (BBSRC) funded research institute has special expertise in CMg, including two Nature papers.
This study of 200 patients will assess the accuracy of blood CMg and identify the best time to sample along with its cost effectiveness. Patients will be asked for an extra 10 mL of blood which will be sent to QI along with a routinely taken admission blood sample.
In addition if surgery is clinically required, some of the resected heart valve tissue will also be sent for CMg analysis Results from CMg will be compared to blood culture. A control group of patients undergoing valve surgery for non-IE indications will also be recruited.
To assist future commissioning of a clinical CMg service within the NHS, a cost-effectiveness analysis of use of CMg in the endocarditis diagnosis and treatment pathway will be developed.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
* Age \>18
* Able and willing to give informed consent
Exclusion Criteria
* Patients who have been treated with intravenous antibiotics for more than 7 days at the time of study entry.
18 Years
ALL
Yes
Sponsors
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Quadram Institute Bioscience
OTHER
Queen Mary University of London
OTHER
Barts & The London NHS Trust
OTHER
Responsible Party
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Locations
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St Bartholomew's Hospital. West Smithfield
London, , United Kingdom
Countries
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Other Identifiers
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280992
Identifier Type: -
Identifier Source: org_study_id
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