Active clinical trials for "Diabetes Mellitus, Type 1"

Subjects with type 1 diabetes will be observed in the diabetes research center clinic following a meal and an insulin injection. Breath and sweat samples will be collected at intervals throughout the visit, with increased frequency during hypoglycemia. Collaborators with the MITRE Corporation will perform analyses on these samples to identify any relationships between volatile organic compounds in breath and sweat and hypoglycemia.

Introduction. The hemoglobin A1C (HbA1c) reflects the average blood glucose level for last two to three months. Recent advancements in the sensor technology facilitate the daily monitoring of the blood glucose using CGM devices. The future prediction of the HbA1C based on the CGM data holds a critical significance in maintaining long term health of diabetes patients. A higher than normal value of the HbA1c greatly increases the likelihood of diabetes related cardiovascular disease. Goal. The aim this study is to predict the HbA1c in advance by utilizing the CGM data through applying machine learning techniques. The outcomes of this research will assist in improving the health of diabetic patients. Methods. This is a retrospective analysis. The investigators will de-identify and analyze 120 patients with T1D who using CGM sensor for last three months. Past 15 days of CGM data will be analyzed and different glucose variability features such as time in range (TIR), coefficient of variation (CV), mean amplitude of glycemic excursion (MAGE), mean of daily differences (MODD), continuous overall net glycemic action (CONGA) will be extracted. A machine learning model will calculate (predict) HbA1c in 2-3 months advance based on these 15 days of CGM data. To evaluate the performance of the proposed prediction model, predicted HbA1c will be compared with the real HbA1c.

On the basis of a questionnaire the participation at sports activities of children and adolescents with type 1 diabetes mellitus will be studied. The occurrence of hypoglycemia and hyperglycemia will be evaluated, as well as the measures to prevent these complications.

To access the relationship between metabolic control of children and adolescents with type 1 diabetes and cardiometabolic risk through noninvasive imaging modalities to assess the early vasculature changes.

This is a Pilot/ feasibility study for a population-based Screening in all children 2 to 6 years in Lower Saxony, Germany during the compulsory (U7 (from the age of 2) U7a, U8, U9) routine check-ups and any voluntary visits to the pediatricians office.

This is an observational study. Forty females with type 1 diabetes (age 18-40) using a continuous glucose monitor and an insulin pump will be enrolled for a 3-month data collection. Study participants will include free-cycling females and females following oral contraceptive therapy. All study appointments may be completed virtually.

A cross-sectional multicenter study using a questionnaire assessing occupational and financial situation before and after the onset of type 1 diabetes was distributed to all families with a child diagnosed with type 1 diabetes before the age of 14 years in nine German pediatric diabetes centers.

This retrospective study uses the Canadian LMC Diabetes Registry to describe the current health status of Canadians with type 1 diabetes. The study provides a detailed report of the demographic composition, treatment regimens, self-care approaches, health status, metabolic outcomes, and glycemic control of a large Canadian community-based, specialist-led cohort of patients with type 1 diabetes. Specific study outcomes will also be evaluated in a subgroup of patients using continuous subcutaneous insulin infusion (CSII) therapy.

This project aimed to explore novel methods of detecting small blood vessel disease in a paediatric population with type 1 diabetes mellitus. To do this the techniques of Nailfold capillaroscopy, laser Doppler flowmetry, retinal (eye) vessel analysis and 24-hr Ambulatory Blood Pressure Monitoring were used. Each of these techniques investigated different areas of small blood vessels around the body. It was hypothesized that in a paediatric population with type 1 diabetes mellitus the novel investigations would be associated with small blood vessel disease and that widespread changes to these blood vessels would be detected through associations between the different novel investigations.

The protein tyrosine phosphatase non-receptor type 22 (PTPN22) gene encodes a lymphoid-specific phosphatase (LYP) which is an important downregulatory factor of T cell activation. A PTPN22 polymorphism, C1858T, was found associated with T1DM in different Caucasian populations. In this observational case-control study, we aimed at confirming the role of PTPN22, C1858T polymorphism in T1DM predisposition in a Greek population.