Vancouver General Hospital Diabetes Centre
Vancouver, British Columbia, V5Z 1M9, Canada
Location status: Recruiting
Location contact
Boris Feldman
CONTACT
Graydon Meneilly, MD
SUB_INVESTIGATOR
Kenneth Madden, MD
PRINCIPAL_INVESTIGATOR
NCT Number: NCT05377268
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.
Interested in participating?
Request Info19 year–80 year
All sexes
Interventional
Not applicable
Vancouver, British Columbia, V5Z 1M9, Canada
Location status: Recruiting
Boris Feldman
CONTACT
Graydon Meneilly, MD
SUB_INVESTIGATOR
Kenneth Madden, MD
PRINCIPAL_INVESTIGATOR
Purpose:
In Phase 1: to use computer based technology to detect lipohypertrophy on portable ultrasound images.
In Phase 2: to demonstrate that injecting insulin into areas to be free of lipohypertrophy will have better glucose control as compared to injecting into areas demonstrated to have lipohypertrophy.
Eligibility:
You can participate in this study if:
You should not participate in this study if:
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Patients will be randomized and data interpreters will be blinded to two, randomized, alternating 14-day protocols where the patients will be advised by the nurse educator verbally to inject insulin in sites of subclinical lipohypertrophy
Other names: 40 patients identified with subclinical lipohypertrophy in Phase 1 will be recruited to a randomized crossover design examining glycemic variability by glucose monitor.
Time frame: First 12 months of the study
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.
University of British Columbia
Other
The Use of Machine Learning Detection of Lipohypertrophy to Improve Glycemic Variability
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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