View clinical trials related to Type 1 Diabetes.
Filter by:The purpose of this study is to see if children and adolescents with poorly controlled type 1 diabetes will benefit from using a continuous glucose monitor (CGM), a device that can be used to check blood sugars.
The purpose of this study is to determine whether use of blood pressure lowering drugs, Angiotensin converting enzyme inhibitors (ACEIs) and blood fat (lipid) lowering drugs (statins) may have a place in the treatment of adolescents with diabetes and can help reduce serious long-term health problems in this population.
The aim of the research is to develop a mathematical model called ADHERENCE index, and to evaluate its effectiveness.
The overall objective of this pilot project is to evaluate the safety and efficacy of the gastric submucosal space as a novel site for clinical islet transplantation. The site has several physiologic attributes that may improve the outcomes of islet transplantation compared with the conventional intraportal transplant site.
This study will recruit drivers with Type 1 diabetes from across the U.S. and assign them to four groups based on their presumed risk level- routine care low risk, routine care high risk, or to one of two Internet interventions focused on reducing hypoglycemia driving. All subjects will be followed for two years to determine whether and which intervention was most effective at reducing hypoglycemia related driving collisions.
There is an increasing trend in the society for developing obesity, type 2 diabetes and cardiovascular diseases. It is therefore important to identify the risk factors behind this tendency. Recent studies have shown that exposure to high blood sugar levels in pregnancy (as in mothers with type 1 diabetes) may play a role in the development of obesity, type 2 diabetes and cardiovascular diseases later in life for the children. Some studies suggest that high blood sugar levels during pregnancy can also affects cognitive function as well as growth and development of puberty. The mechanisms behind this are not sufficiently clarified yet. In the period 1993-1999, pregnant women with type 1 diabetes in Denmark were followed and information about the course of pregnancy was collected, including the long-term blood sugar level during pregnancy and the children's' condition at birth. The unique opportunities in Denmark to identify and follow the children of these mothers and the possibility to select a comparison group of children of non-diabetic mothers gives a unique opportunity to examine the children of mothers with type 1 diabetes and accurately investigate the effect of blood sugar levels in pregnancy on conditions later in life. There has not previously been made any study of this size and it is the investigators hope to be able to quantify the effect of blood sugar level during pregnancy on outcomes later in life. This will potentially give the possibility to detect individuals at risk for cardiovascular diseases earlier and to improve prevention targets in children of mothers with diabetes.
The primary objective of this study is to evaluate the action of DPP-IV inhibitors in the prevention of progressive beta cell dysfunction in patients with type 1 diabetes mellitus newly diagnosis ( less than 6 months). The secondary objectives are: 1. To define the immune and inflammatory profile 2. To define the secretion of glucagon and GLP-1 3. To assess the glycemic variability
The incidence of type 1 diabetes (T1D) is increasing worldwide with evidence of most rapid increase in preschool children. Intensive control of blood glucose levels, although essential to protect against onset and progression of diabetes-related complications, faces unique challenges in toddlers and preschool children. A closed-loop system can enhance accuracy of insulin delivery and help people with T1D attain a tight glucose control avoiding the risk of hypoglycaemia. The main components of the system are a continuous glucose monitor (CGM), an insulin pump and a computer-based 'model predictive algorithm', which calculates the amount of insulin to be given by the insulin pump according to the CGM values. In the studies performed thus far the efficacy and safety of closed-loop glucose control were evaluated in children and adolescents aged 6 to 18 years. The results showed that closed-loop improved control of blood glucose and prevented nocturnal hypoglycaemia, as compared to the conventional insulin pump therapy. The objective of the current study is to extend the evaluation of closed-loop further to younger children aged 2 to 6 years, who may gain a great benefit from this novel therapy. The present study adopts an open-label, randomised, 2 period cross-over design whereby closed-loop insulin therapy using diluted insulin (20IU/ml)will be compared with closed-loop with standard insulin (100IU/ml)in 12 young children with T1D. Participants aged 2 to 6 years will be randomised for two overnight studies in a clinical research facility, during which glucose levels will be controlled by either the computer-based closed-loop algorithm using diluted insulin or by closed-loop with standard insulin. On both occasions, participants will receive a self-selected evening meal and closed-loop will run from 17:00 until 08:00am the following day. The study will take place at the Wellcome Trust Clinical Research Facility, Cambridge with participants recruited from paediatric diabetes clinics in England.
This study investigates the hypothesis that differences in beta-cell mass in patients with diabetes and healthy individuals can be monitored by the positron emission tomography (PET) tracer [11C]5-hydroxytryptophane.
Achieving near-normoglycemia has been established as the main objective for most patients with type 1 diabetes (T1DM). However, insulin dosing is an empirical process and its success is highly dependent on the patients' and physicians' skills, either with multiple daily injections (MDI) or with continuous subcutaneous insulin infusion (CSII, the gold standard of insulin treatment). Postprandial glucose control is one of the most challenging issues in the everyday diabetes care. Indeed, postprandial glucose excursions are the major contributors to plasma glucose (PG) variability of subjects with (T1DM) and the poor reproducibility of postprandial glucose response is burdensome for both patients and healthcare professionals. During the past 10-15 years, there has been an exponentially increasing intrusion of technology into diabetes care with the expectation of making life easier for patients with diabetes. Some tools have been developed to aid patients in the prandial bolus decision-making process, i.e. "bolus advisors", which have been implemented in insulin pumps and more recently in the newest generations of glucometers. Currently, the availability of continuous glucose monitoring (CGM) has opened new scenarios for improving glycemic control and increasing understanding of post-prandial glycemic response in patients with diabetes. Results from clinical studies suggest that sensor-augmented pumps (SAP)may be effective in improving metabolic control, especially when included as part of structured educational programs resulting in patients' empowerment. Similarly, preliminary results from pilot studies indicate that automated glycemic control, especially during nighttime,based on information from CGM is feasible. However, automatic management of meal bolus is currently one of the main challenges found in clinical validations of the few existing prototypes of an artificial pancreas. Indeed, fully closed-loop systems where information about meals size and timing is not given to the system have shown poor performance, with postprandial glucose higher and post meal nadir glucose lower than desired. This has promoted other less-ambitious approaches, where prandial insulin is administered following meal announcement (semi closed-loop). However, despite the use of meal announcement, currently used algorithms for glucose control (the so-called PID and MPC), show results that are not yet satisfactory due to the risk of producing hypoglycemia. One of the limitations of the current open-loop (bolus advisors) and closed-loop control strategies is that glycemic variability is not taken into account. As an example, settings of CSII consider inter-individual variation of the parameters (insulin/carbohydrates ratio, correction dose, etc.) but disregard the day-to-day intra-individual variability of postprandial glucose response. Availability of massive amount of information from CGM, together with mathematic tools, may allow for the characterization of the individual variability and the development of strategies to cope with the uncertainty of the glycemic response to a meal. In this project, a rigorous clinical testing of a CGM-based, user-independent algorithm for prandial insulin administration will be carried out in type 1 diabetic patients treated with insulin CSII. First of all, an individual patient's model characterizing a 5-hour postprandial period will be obtained from a 6-day CGM period. The model will account for a 20% uncertainty in insulin sensitivity and 10% variability in the estimation of the ingested carbohydrates. Based on this model (derived from CGM), a mealtime insulin dose will be calculated (referred as iBolus). Then, the same subjects will undergo standardized meal test studies comparing the administration of a traditional bolus (tBolus, based on insulin to CHO ratio, correction factor, etc.) with the CGM-based prandial insulin delivery (iBolus). Significant advances in postprandial control are expected. Should its efficiency be demonstrated clinically, the method could be incorporated in advanced sensor augmented pumps as well as feedforward action in closed-loop control algorithms for the artificial pancreas, in future work.