The TUDID Study - Background and Design of a Prospective Cohort.
Benjamin Assad JaghutrizRobert WagnerStephanie KullmannLouise FritscheSabine S EcksteinCorinna DanneckerCaroline WillmannElko RandrianarisoaAngela Lehn-StefanAnja HieronimusSarah HudakDorothea VosselerApostolia LamprinouPhilipp HuberAndreas VosselerGabriel WillmannNils HeyneDiana WolffNorbert StefanHans-Ulrich HäringAndreas L BirkenfeldAndreas PeterAndreas FritscheMartin HeniPublished in: Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association (2020)
Prevalence of both type 1 and type 2 diabetes mellitus is growing worldwide and one major cause for morbidity and mortality. However, not every patient develops diabetes-related complications, but causes for the individual susceptibility are still not fully understood. As a platform to address this, we initiated the TUDID (TUebingen DIabetes Database) study, a prospective, monocentric, observational study that includes adults with diabetes mellitus who are treated in the inpatient clinic of a University Hospital in southern Germany. Besides a thorough clinical examination and extensive laboratory tests (with integrated biobanking), major study focuses are the kidneys, the eyes, the vasculature as well as cognition and mood where standardized investigations for early stages for diabetes complications are performed. Analyses of the data generated by this precise characterization of diabetes-related complications will contribute to our understanding of the development and course of such complications, and thus facilitate the implementation of tailored treatment options that can reduce the risk and severity of diabetes-related complications.
Keyphrases
- glycemic control
- type diabetes
- cardiovascular disease
- risk factors
- primary care
- healthcare
- emergency department
- multiple sclerosis
- machine learning
- metabolic syndrome
- mild cognitive impairment
- big data
- depressive symptoms
- drug induced
- optical coherence tomography
- high throughput
- quality improvement
- white matter
- adverse drug