PRAESIIDIUM – A data collection longitudinal cohort for a machine learning model training
- Conditions
- R73.0E11Abnormal glucose tolerance testType 2 diabetes mellitus
- Registration Number
- DRKS00033540
- Lead Sponsor
- Medizinische Universität Graz
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 75
?Family history of type 2 diabetes (First or second degree relatives)
?Normal weight individuals (BMI 18.5-24.9)
?Signed informed consent for participation
?Ownership of a smartphone running Android or iOS
?Non-compliance
?Ongoing treatment with immunosuppressive and/or anti-inflammatory medications (NSAIDs, glucocorticoids, chemotherapy, biologicals.)
?Ongoing treatment with glucose lowering drugs, except if anti-diabetic medication has not been stopped - for metformin one month, for GLP-1 RA, tirzepatide - two months prior enrolment
?Presence of autoimmune and/or inflammatory disease.
?Skin conditions hindering application of continuous glucose monitoring systems
?Diabetes or prediabetes as diagnosed by ADA/WHO criteria according to fasting glucose and HbA1c
?Factors otherwise limiting the participation in the study according to the judgement of the investigator
?Pregnancy or intention to get pregnant during the study timeline.
Study & Design
- Study Type
- observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method The aim of the study is to generate real-life data for training a machine learning model
- Secondary Outcome Measures
Name Time Method