Active clinical trials for "Diabetes Mellitus, Type 1"

The standard method for determining the carbohydrate content of a meal in patients with diabetes mellitus is the weighing of individual foods. However, in daily life, the weighing is not practical at all times. Inaccurate estimation of meal's CHO content, leads to wrong insulin doses and consequently to poor postprandial glucose control. Fact is that even well trained diabetic individuals find it difficult to estimate CHO precisely and that especially meals served on a plate are prone to false estimations underlining an emergent need for novel approaches to CHO estimation. GoCarb is a computer vision-based system for calculating the carbohydrate content of meals. In a typical scenario, the user places a credit card-sized reference object next to the meal and acquires two images using his/her smartphone. A series of computer vision modules follows: the plate is detected and the different food items on the plate are automatically segmented and recognized, while their 3D shape is reconstructed. On the basis of the shape, the segmentation results and the reference card, the volume of each item is then estimated. The CHO content is calculated by combining the food types with its volumes, and by using the USDA nutritional database. Finally, the results are displayed to the user. A preclinical study using the GoCarb system indicates that the system is able to estimate the meal's CHO content with higher accuracy than individuals with T1D. Furthermore, the feedback gathered by the participants showed that the system is easy to use even for non-smartphone users. The aim of this randomized, cross-over pilot study is to investigate the benefits of an automated determination of the carbohydrate content of meals on glycemic control in subjects with type 1 diabetes mellitus with sensor-augmented insulin pump therapy.

The purpose of this study is to compare the effect of two antihypertensive drugs on retinal vessel diameter in young type 1 diabetics. The retinal vessel analyzer (RVA) was used to investigate how the drugs affected vessel diameter, when the subjects were exposed to an increase in blood pressure, induced by isometric muscle contraction and when they were stimulated by flickering light.

This study aims at investigating the effect of hyperglycaemia on physical performance and local energy stores in the muscle in patients with type 1 diabetes mellitus under exercise conditions.

To determine if renin angiotensin medications can prevent or delay the onset of diabetic kidney disease.

Devices such as the GlucoWatch G2 Biographer (GW2B), which constantly measure blood sugar levels, may improve the treatment of Type 1 diabetes mellitus in children. This study evaluated the GW2B when used by children in their homes.

The autoimmune diabetes ACCELERATOR PREVENTION TRIAL (adAPT) is based on the accelerator hypothesis. The trial is designed to establish whether metformin, an oral hypoglycaemic agent that is known to reduce insulin demand in type 2 diabetes (T2D), can do the same in children at risk of type 1 diabetes (T1D) and thereby prevent disease. The first phase of adAPT will screen participants aged 5-16 years (inclusive) for islet-related autoantibodies who are the siblings or offspring of individuals diagnosed with T1D before the age of 25years in Scotland and England. There are four principle islet-related antibodies associated with T1D. The presence of two or more confers a 40% risk of developing T1D in five years. While the presence of none or one antibody carries a similar risk for developing T1D to the general population (1 in 500 in 5years). It is anticipated that 5% of those screened will be identified as double-antibody positive, these participants will be invited to join the intervention phase of the study - randomised controlled trial (RCT). Up to 200 eligible subjects could be identified by screening with a minimum of 90 being enrolled into the RCT phase. adAPT is a proposed three stage project. The current protocol defines the screening phase, Stage 1 and seamless entry into Stage 2. Screening will identify children and young people at high risk of developing T1D and invite them to participate in Stage 1 which will involve a minimum of 4 months treatment with either metformin/placebo, however Stage1 treatment will run seamlessly into Stage 2. Stage 1/2 treatment will last up to 21 months (to accommodate 15months screening, 4 months treatment and 2 months analysis). Post Stage1 analysis/ late Stage 2 participation will last up to 36 months (participants enrolled early into Stage 1 will have the longest intervention). During the Stage1 participants will be tested on three occasions (baseline, month 1 and month 4) for metabolic response using a 5-point mixed meal tolerance test (MMTT). Testing will continue in Stage 1/2 with 3 visits further visits at months 8, 12, 18. Late Stage 2 visits will occur on months 24, 30 & 36. Participants will be invited to continue into Stage 3, taking treatment up to 60 months post analysis of Stage 1 and associated protocol amendment and additional consent.

The study investigations include evaluation of the acute effects of a single dose of dapagliflozin (10mg), exenatide (5µg), a combination of exenatide and dapagliflozin or placebo under insulinopenic condition and the long term effect under basal conditions before and after 12 weeks treatment with dapagliflozin, Exenatide extended release, a combination of Exenatide extended release and dapagliflozin or placebo on ketogenesis, glucagon and lipolysis.

A study is to see if methyldopa can change the immune system's attack on insulin producing cells in people at early stages of type 1 diabetes.

To evaluate the safety and efficacy of Stem cells from human exfoliated teeth transplantation in patients with Islet function decreased significantly to provides scientific basis for further clinical studies to verify the safety and efficacy. On the basis of maintaining the original treatment, intravenous drip of dental pulp mesenchymal stem cells.

The "Open Artificial Pancreas System (OpenAPS)" was designed to quickly spread technology and knowledge about the construction of artificial pancreas systems to patients with diabetes without awaiting clinical regulatory approval. OpenAPS is based on a privately shared software programs and available insulin pumps and glucose sensors. OpenAPS includes a "decision making" algorithm, which issues adaptions of basal rates to insulin pumps, which represents all fundamental aspects of closed loop artificial pancreas systems. The present study aims to compare the accuracy and performance of a self-constructed OpenAPS system with the approved hybrid closed loop system Medtronic Minimed 670G. While wearing the Medtronic Minimed 670G in automode, study participants will wear an OpenAPS system in parallel, which does calculate basal rate adaptions based on continuous glucose monitoring data and its respective algorithm. The investigators aim to recruit 15 participants in an open label, single-center, single-arm, observational study. Insulin injection will only be provided by the Medtronic 670G HCL system (Basal rate insulin). The OpenAPS system will be worn contemporaneously, calculate recommended basal rate insulin adjustments but will not inject insulin. The maximum treatment period will be 2 weeks per patient.