Development of minimally invasive methodology for diabetyping to personalise treatment to realise remission and reversal of type 2 diabetes.
- Conditions
- sugarType 2 diabetes mellitus10018424
- Registration Number
- NL-OMON53345
- Lead Sponsor
- TNO
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- Not specified
- Target Recruitment
- 57
- - Diagnosed with (pre)diabetes type 2;
o BMI >=27 kg/m2, including a heterogenous group of people with
overweight/prediabetes (without glucose lowering medication), and/or type 2
diabetes with or without glucose lowering medication.
- Aged 40 years or older
- Able and willing to sign the informed consent form
- Willing to comply with all study procedures
- Type 1 diabetes
- Latent Autoimmune Diabetes (LADA)
- Skin allergy, eczema or known sensitivity for adhesives
- History of bariatric weight loss surgery
- Planned (bariatric) surgery during the 3 weeks monitoring period with the CGM
- Active cancer or chemotherapy or radiation within 2 years prior to
participation
- A condition that would need an MRI during the 3 weeks monitoring period with
the CGM
- Planned holiday during the 3 week GCM monitoring period
- (Night)shiftworkers
- Pregnancy and lactation
- Chronic medical condition, treatment, or medication other than diabetes that
may affect glucose metabolism (HIV diagnosis, use of steroids or
immunosuppressive drugs, etc.)
- 4 or more alcoholic drinks per day on a regular basis or use of recreational
drugs
Study & Design
- Study Type
- Observational invasive
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method <p>The objective of this study is to develop and evaluate algorithms predicting<br /><br>the different diabetypes and the underlying indices (diabetyping) with<br /><br>minimally invasive technology based on capillary sampling using and multi-day<br /><br>CGM with OGTT.</p><br>
- Secondary Outcome Measures
Name Time Method <p>The secondary objective is to develop and evaluate minimally invasive<br /><br>diabetyping technology with algorithms based on capillary sampling, venous<br /><br>blood sampling and multi-day CGM upon a standardized snack under real-world<br /><br>conditions. </p><br>