Active clinical trials for "Diabetes Mellitus, Type 1"

Enrollment for this study is complete. This study is designed to determine if use of a real-time continuous glucose monitor (RT-CGM) can reverse defective Glucose counter regulation and hypoglycemia unawareness in long standing type 1 diabetes.

Development of a bio-behavioral stochastic model-predictive controller (SMPC) for use as an artificial pancreas in T1DM requires fundamental behavioral and physiology studies, as well as translational modeling and engineering development. In order to be successful, closed-loop control in Type 1 Diabetes Mellitus (T1DM) must adapt to individual physiologic characteristics and to the behavioral profile of each person. An essential part of this adaptation is biosystem (patient) observation. The investigators propose to lay the foundation for a closed-loop control system which will include algorithmic observers of patients' behavior and metabolic state.

This study is conducted in Japan. The aim of this study is to collect safety and efficacy data when using NovoRapid® (insulin aspart) in children with type 1 and type 2 diabetes under normal clinical practice conditions.

The purpose of this study is to assess accuracy and reliability of the SPIDIMAN continuous glucose monitoring (CGM) sensor system with regard to values as measured by Super GL and compare these results with similar evaluations of the Medtronic MiniMed 640G system, the Abbott FreeStyle Libre Flash Sensor and the DexCom G4 Platinum Sensor in patients with type 1 Diabetes.

The main aim of the present study is to evaluate the prevalence of individual microvascular and macrovascular complications among diabetes mellitus patients and to determine the percentage of diabetes mellitus patients achieved HbA1c<7,0%.

A randomized single-blind study with the use of three lancing devices equipped with personal lancets. Every device will be studied for three lancet sizes: 28G, 30G, and 33G with the minimum and maximum puncture depth setting.

Background: Today diabetic nephropathy is a frequent, and the most lethal and costly complication of diabetes. Although treating blood pressure with agents blocking renin angiotensin system has improved outcome, the prognosis is still poor and no new interventions have been successful during the past decade. There is an urgent need for discovery of new pathways behind the development and progression of diabetic nephropathy as well as of biomarkers which can identify subjects at risk of developing adverse events. Objective: By using a multidimensional 'omics' approach, we aim to search for novel proteins, metabolites and pathways that will point to the putative new mechanisms which underlie the early renal decline. Design: Cross-sectional study, with long-term register-based follow-up. Study population: 160 patients with type 1 diabetes recruited from Steno Diabetes Center Copenhagen stratified based on stage of diabetic kidney disease, and 50 healthy non-diabetic controls. Endpoints: Primary endpoint: Glycocalyx thickness, assessed as perfused boundary region. Secondary endpoints: Gut microbiome characterisation and markers of gastrointestinal inflammation, autonomic and periphery neuropathy, urine and plasma Flow Cytometry Analysis (FACS), metabolomics and proteomics in plasma and urine, and other potential biomarkers.

The purpose of this study is to determine whether a newly developed intervention is feasible and acceptable to adolescents with type 1 diabetes and their families and diabetes care providers, and to evaluate trends in whether the intervention impacts important diabetes outcomes. The intervention involves diabetes care providers discussing and reinforcing individuals' and families' diabetes management strengths during routine, outpatient diabetes care appointments.

This study is designed to evaluate the prevalence of different stages of diabetic retinopathy and diabetic macular edema among patients suffering from type 1 diabetes (DM1) for 5 to 25 years and have been treated with intensified insulin therapy aiming near-normal blood glucose levels for the whole duration of disease. Prevalence of different stages of diabetic retinopathy and diabetic macular edema is assessed using the modified Airlie House classification and the Early Treatment Diabetic Retinopathy Study (ETDRS) retinopathy severity scheme. Results of this study will provide the basis for designing further studies as well as staging and screening guidelines for diabetic retinopathy/diabetic macular edema.

Investigators aim to further the understanding of the various factors that govern the progression of beta-cell death in individuals recently diagnosed with Type 1 diabetes (T1D). Specifically, the investigators wish to examine the utility of plasma-induced signatures and other measures as predictive biomarkers for the rate of C-peptide decline in individuals with recent onset T1D. Persistent C-peptide in individuals with T1D reflects some degree of β-cell function and is clinically associated with a reduction in both severe hypoglycemic events and microvascular complications such as diabetic nephropathy and retinopathy. There is significant heterogeneity in the rate of C-peptide decline in individuals with T1D, reflective of the complex disease process. For example, ~10% of individuals have no discernable fall in stimulated C-peptide after two years from clinical diagnosis as compared to other individuals with very rapid C-peptide decline. It is currently impossible to predict how long, and to what extent, someone will have residual C-peptide production. This complicates clinical management but also the design and interpretation of T1D β-cell preservation trials. The "gold standard" outcome measure of any T1D β-cell preservation trial is the stimulated C-peptide to a mixed meal tolerance test (MMTT). Given the variability in this measure, intervention studies must include more subjects over a longer period of time. This slows the rate of scientific discovery and increases cost. This study aims to define the governing mechanisms of post-onset T1D disease trajectory. Understanding the trajectory of the disease may lead to the development of biomarkers to predict disease progression and therapies that could reverse or prevent the development of Type 1 diabetes.