View clinical trials related to Type1 Diabetes Mellitus.
Filter by:Type 1 diabetes mellitus is a common autoimmune disease. It affects women of all ages including reproductive years. Hyperglycemic condition in diabetes can cause organ damage. This study aims to measure serum hormones including FSH, LH, E2, AMH, ovarian volume and antral follicle count (indicators of ovarian reserve) in women with and without type 1 diabetes mellitus.
The purpose of this study is to compare the study drug LY900014 to insulin lispro (Humalog) when both are delivered by the Medtronic MiniMed 670G System in adults with type 1 diabetes (T1D). The study will consist of two treatment periods of 4 weeks.
Patient Empowerment through Predictive PERsonalised decision support (PEPPER) is an European Union (EU) funded research project to develop a personalised clinical decision support system for Type 1 Diabetes Mellitus (T1DM) self-management. The tool provides insulin bolus dose advice, tailored to the needs of individuals. The system uses Case-Based Reasoning (CBR), an artificial intelligence methodology that adapts to new situations according to past experience. The PEPPER system also incorporates a safety module that promotes safety by providing glucose alarms, low-glucose insulin suspension, carbohydrate recommendations and fault detection.The principal research objectives are to assess the usability, safety, and technical proof of concept and feasibility of the PEPPER in participants with T1DM. Evaluation of safety is a priority and will be assessed throughout the clinical studies. The safety components only of the PEPPER system will initially be evaluated in an out-of-clinic environment (phase 1) and will measure incidence and percentage time spent in hypoglycaemia, evaluate usability and incidence of technical faults. Following the initial safety study, the overall PEPPER system (integrated with the CBR algorithm) will be assessed (phase 2) and the primary outcome will be percentage time spent in hypoglycaemia.
To assess if using the hypoglycemic clamp and functional magnetic resonance imaging (fMRI) scanning in hypoglycemia unaware and aware T1DM patients and healthy controls have showed distinct differences in patterns of brain responses. In particular, T1DM patients who are aware of hypoglycemia (T1DM-Aware) have greater activity in sensory integration brain regions (e.g. parietal lobe and caudate nucleus) in response to hypoglycemia, whereas hypoglycemia unaware T1DM patients (T1DM-Unaware) show no detectable changes in brain reward regions during hypoglycemia.
Intense exercise is a major challenge to the management of type 1 diabetes. The management is even more difficult, during a camp, probably due to increased hypoglycemia maybe from increase of intensity of physical activity. The investigators want to evaluate steps, energy expenditure, sleep time and glycemic control and insulin dosage, through use of a wrist accelerometer, in pediatric type 1 patients attending a camp. Finding a correlation between these parameters could be useful not only for educational purposes but also in the development of algorithms for artificial pancreas.
The purpose of this research study will be to test and evaluate if dapagliflozin has an effect on the amount of glucagon (a hormone produced by the pancreas and stomach that stimulates liver glucose production) produced by the body and if that change will improve recovery time from hypoglycemia (low blood sugar) in participants with Type 1 Diabetes.
The study is designed to evaluate two different dietitian-led self-management approaches in carbohydrate counting compared to routine dietary care (control) on glycaemic control in adult patients with type 1 diabetes: 1. The basic carbohydrate counting concept aims at improving carbohydrate counting accuracy and day-to-day consistency of carbohydrate intake (the BCC intervention) 2. The advanced carbohydrate counting concept aims at improving prandial insulin dose accuracy using an automated bolus calculator (the ABC-ACC intervention) The main hypothesis is that structured training and education in either the BCC concept or the ABC-ACC concept will reduce HbA1c or the average glucose variability more than routine dietary education.
Rationale: Hyperglycaemia is an important cause of long-term macro-and microvascular complications in all patients with diabetes mellitus. However, only a small fraction of the patients with diabetes reaches the set target of glycemic control. Problems with adequate self-management usually underlie problems to maintain glycaemic control. Thus, patients need more support in order to reduce the burden and increase the effectiveness of their diabetes self-management. One way to do this is by using integrated technologies and personalized plans for diabetes care. For this purpose, the POWER2DM support system was developed to give patients insight into their condition and support diabetes patients and their health care professionals in setting and achieving self-management goals using predictive computer model simulations and behavioural action plans. Objective: To provide proof of concept that POWER2DM is safe and effective in improving glycaemic control, improving behavioural/psychosocial and lifestyle markers, and to assess the cost-effectiveness of the approach and to highlight any potential issues that may impede implementation. Study design: This is a pragmatic randomised controlled trial with 9 months follow-up in which patients will be randomised 1:1 to either Power2DM support (Power2DM group) or usual care (usual care group). There will be evaluation moments at baseline, after 11 weeks, 22 weeks and 37 weeks. Study population: 230 patients with diabetes (N=115 type 1 diabetes (T1D), N=115 type 2 diabetes (T2D)) recruited from out-patient clinics in the Netherlands (Leiden University Medical Centre and affiliating teaching hospitals N=115) and Córdoba, Spain (Reina Sofia University Hospital N=115). Intervention: The POWER2DM support group will receive access to the prototype 2 of the POWER2DM system. This system consists of two components: 1) the web-based Shared Decision Making Dashboard, used to set self-management goals together with a health care professional with the use of both short- and long-term predictive computer simulation models, and 2) the POWER2DM Self-Management Support System as a mobile application and webpage, used to support behavioural change in DM self-management. The system is fed with data from an activity tracker, a glucose monitor and manual data entry. Main study parameters/endpoints: Change in glucose regulation as measured by %HbA1c before and after the intervention compared between the intervention and control group.
The iLet is a closed-loop delivery system that can be used in insulin-only, bihormonal, or glucagon-only configurations. Previous studies have utilized a phone-based bionic pancreas. The iLet consists of a touchscreen-enabled, menu-driven user interface and an onboard microprocessor that provides a comprehensive and standalone platform, which allows the iLet to operate independently of smartphones or other devices and without the need for internet support during routine operation. This is a multicenter study of adult participants with type 1 diabetes, who will manage their diabetes with the iLet bionic pancreas compared to usual care.
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.