View clinical trials related to Type 1 Diabetes.
Filter by:Pump therapy is gaining popularity as a treatment mode for patients with type 1 diabetes. Utilizing pump therapy requires the development and application of a new spectrum of theoretical knowledge and practical skills by the patient. Furthermore, occasionally there is a need to tailor the pump settings, i.e. the insulin correction factor, carbohydrate ratio, basal plan and insulin activity time, in order to optimize and improve glucose control. These adjustments are based on collected information including insulin delivery, blood glucose measurements, continuous glucose monitoring data, meals and so on. Analyzing this multitude of information and data is overwhelming for many of the patients, caregivers and health care providers. Unfortunately, not all physicians have the needed expertise to fully fulfill this task, and for those who do, it is time consuming. Thus, a summary of the data with insulin dose adjustment suggestions is missing. An automated tool for pump setting adjustments will improve glycemic control without escalating the burden on patients and the health care system. Such advisor can assist the professional team during routine follow-up and the patients between visits. To address this challenge, the investigators developed the MD-Logic Pump Advisor (MDPA), which automatically analyses treatment information, learns patient's needs and accordingly suggests adjustments in insulin dosing. The MDPA uses information gathered from glucose monitoring, insulin dosing and meal data during daily routine home care. Following a 5 minute data collection and analysis, the algorithm learns and suggests pump-setting changes for optimization of glucose control. This study aims to evaluate the efficacy and safety of the Advisor Pro. The study will include three segments: Segment A - a randomized controlled parallel study, Segment B- a clinic prospective study during which the Advisor Pro will be evaluated during routine clinical visits as an added tool for physicians and Segment C- a clinical prospective parallel study for patients treated with pump therapy and SMBG only.
The main objectives of the trial are to study whether daily treatment with liraglutide improves insulin secretion and glucose metabolism, and whether liraglutide treatment is tolerable and safe in subjects with preclinical type 1 diabetes aged 18-30 years.
The aim of this study is to develop educational packages for children of primary school age with type 1 diabetes and their parents, and to undertake a small scale feasibility study to allow evaluation of the curriculum. Paediatric diabetes teams in the United Kingdom currently deliver education using largely unevaluated teaching materials. By working with the education profession the investigators aim to develop packages which are based on recognised educational theory and practice. The investigators hope that use of these will result in better blood glucose control, reducing the risk of longterm diabetes complications such as eye and kidney disease.
To evaluate the effect of Gluten Free Diet (GFD) on beta-cell function and glucose metabolism in subjects with one or several islet autoantibodies without and with dysglycemia at baseline. Additionally, all subjects will be given treatment with Vitamin D, omega fatty acids and probiotics. Subjects will be randomized to GFD or normal diet during 18 months. Beta cell function will be evaluated at baseline, and during follow-up by glucose tolerance tests.
Aim: To investigate the glucagonostatic effect of glucagon-like peptide-1 (GLP-1) independent of the gastric emptying rate.
The study is a 2 arm, multi-center, randomized, open-labeled clinical trial designed to assess the effects of varying doses and schedules of oral insulin on immunological and metabolic markers in relatives at risk for type 1 diabetes (T1D).
No studies have investigated if the dietary composition of carbohydrate influences the glycaemic effect of single and multiple boluses of subcutaneous low-dose glucagon. Further, the recommended diet composition to patients with type 1 diabetes has not been thoroughly validated. Many patients with type 1 diabetes practice low carbohydrate eating patterns due to the assumption that this diet can reduce fluctuations in plasma glucose. Before glucagon can be used as an add-on to intensive insulin treatment, these aspects need to be elucidated. The purpose of this study is to determine, whether diet composition of carbohydrate affects the glycogen stores in the liver and affects the glucose response of glucagon during hypoglycaemia. HYPOTHESIS: In patients with type 1 diabetes, the glucose response of a single bolus of low-dose glucagon is not associated with diet carbohydrate content. AIM: The aim is to investigate how one week of high- compared to low-carbohydrate diet influence the glycaemic response of low-dose glucagon in patients with insulin pump treated type 1 diabetes. The secondary aim is to investigate how two dietary intervention weeks differ in the incidence of hypoglycaemia, postprandial hyperglycaemia, and daily glucose excursions. DESIGN:A non-blinded two-way cross-over, randomized study will be conducted. After participants have given an informed consent, they will go through four steps: 1) screening visit 2) Run-in period, 3) first meal intervention for one week finalizing with one study visit and 4) second meal intervention for one week finalizing with another study visit.
The aims of this study are two fold: To show whether there is an increased environmental or genetic susceptibility to stress in patients with T1D and whether it influences diabetes management. And to develop a strategy for the assessment and treatment of patients with T1D and an increased risk for development of psychopathology under stress.
In this study the investigators will compare a novel approach using daily financial incentives and a tiered sponsor network to motivate adolescents and young adults with type 1 diabetes to improve glycemic control.
The project involve evaluation of a web-based nutrition education program and pilot-testing of a new smartphone app for real-time data logging to identify factors causing glycemic variability.