- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04058626
TEsting for Arterial Disease in Diabetes (TrEAD) Study
Comparative Diagnostic Accuracy Study of Bedside Tests Used to Detect Arterial Disease in Diabetes:
This study will focus on determining;
- How accurate the test is in detecting poor circulation
- How it's accuracy compares to other commonly used tests, and
- Whether test results are linked to the chance of ulcer healing or amputation. Across 2 hospitals, 305 diabetic patients will be scanned using the focused ultrasound test as well as other commonly used tests to detect poor circulation. Their results will be compared to a full version of the ultrasound test to identify the most accurate.
Study Overview
Status
Conditions
Detailed Description
In the UK, over 7,000 amputations are performed each year because of diabetes. Most of these (80%) occur when a foot wound, also known as an ulcer, does not heal. The most important cause of this is poor circulation to the feet. Currently, there are no accurate tests that foot specialists can use to detect poor circulation when they see patients. Because of this, poor circulation can be missed and its treatment delayed.
A focused ultrasound test at the ankle, using a sensor and gel on the skin, can detect poor circulation. It is safe, painless and I have previously proven that it can be learned and performed quickly. It may help avoid amputations by detecting poor circulation so that it can be treated quickly.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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London, United Kingdom, TW76AF
- West Middlesex University Hospital
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London, United Kingdom, W21NY
- Imperial College NHS Healthcare Trust
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- All diabetic patients presenting to the diabetic foot clinics will be eligible for the study.
Exclusion Criteria:
- Patients unable to provide informed consent will also be excluded.
Study Plan
How is the study designed?
Design Details
- Observational Models: Other
- Time Perspectives: Prospective
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Diagnostic Accuracy
Time Frame: 1 hour; all tests will be performed on the same day of presentation.
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Diagnostic accuracy of the PAD-scan and other bedside tests will be compared to the results of a full lower limb Duplex Ultrasound scan (reference test).
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1 hour; all tests will be performed on the same day of presentation.
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Collaborators and Investigators
Investigators
- Principal Investigator: Jaffer Usman, Imperial College London
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Pathologic Processes
- Cardiovascular Diseases
- Skin Diseases
- Arteriosclerosis
- Arterial Occlusive Diseases
- Endocrine System Diseases
- Diabetic Angiopathies
- Leg Ulcer
- Skin Ulcer
- Diabetes Complications
- Diabetes Mellitus
- Diabetic Neuropathies
- Foot Diseases
- Atherosclerosis
- Diabetic Foot
- Foot Ulcer
- Vascular Diseases
- Ischemia
- Peripheral Arterial Disease
- Peripheral Vascular Diseases
Other Study ID Numbers
- 17HH4091
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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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