Diabetes Mellitus Clinical Trial
Official title:
The Use of Machine Learning Detection of Lipohypertrophy to Improve Glycemic Variability
Verified date | May 2024 |
Source | University of British Columbia |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
Lipohypertrophy is swelling of the fatty tissue located below the skin ("subcutaneous tissue") where many patients with diabetes inject their insulin. Lipohypertrophy can sometimes be felt as firm swelling, lumps or small bumps near insulin injection sites. Previous studies have shown that injecting insulin into areas of lipohypertrophy can affect how insulin is absorbed, and can increase insulin requirements in patients. New data suggest that lipohypertrophy can be detected using ultrasound technology. The ultrasonographic presence of changes to the subcutaneous tissue without swelling that can be felt ("subclinical lipohypertrophy") and the effect of injecting insulin into these sites is unknown. 100 people will participate in the Phase 1 of this study. In the second phase of the study, 40 patients identified with subclinical lipohypertrophy in Phase 1 will be asked to participate in the randomized study using crossover design by checking your glucose levels.
Status | Active, not recruiting |
Enrollment | 100 |
Est. completion date | December 31, 2025 |
Est. primary completion date | December 31, 2025 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 19 Years to 80 Years |
Eligibility | Inclusion Criteria: - Subjects with a diagnosis of Type 1 or Type 2 diabetes mellitus - Current treatment with a minimum of one insulin injection daily or insulin pump for at least 2 years Exclusion Criteria: - Subjects taking a glucagon-like peptide-1 agonist or a systemic glucocorticoid - Past history of a non-lipohypertrophic dermatological condition in the insulin injection site area |
Country | Name | City | State |
---|---|---|---|
Canada | Vancouver General Hospital Diabetes Centre | Vancouver | British Columbia |
Lead Sponsor | Collaborator |
---|---|
University of British Columbia |
Canada,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Assessment of lipohypertrophy by US machine | Validation of machine algorithm, such as a web-based convolutional network to detect lipohypertrophy on portable ultrasound images.
Each image will be evaluated by an experience ultrasonographer (Dr.Areshnikoff0 and labelled as either having the presence or absence of lipohypertrophy. |
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