View clinical trials related to Diabetes Mellitus, Type 2.
Filter by:This is a longitudinal pre-post pilot intervention study evaluating feasibility of implementation of a soccer-based Diabetes Prevention Program (DPP) and preliminary changes in physical activity and diet-related measures. Overweight participants at high risk for type 2 diabetes mellitus (T2DM) will be recruited through soccer interest groups, local leagues and Hispanic health organizations. After a baseline assessment visit, participants will attend soccer practice twice a week for 12 weeks while completing the National Diabetes Prevention Program (NDPP) core curriculum online modules with facilitated discussion by trained coaches during each soccer practice. Participants will then be invited to join an established small-sided soccer league in their community (for 12 weeks) offering one game per week and will also complete the NDPP maintenance modules and physical activity and diet self-tracking via mobile health technologies. After the core (first 12 weeks) and maintenance intervention periods (second 12 weeks) baseline measurements will be repeated. Data on the feasibility of this DPP soccer-based adaptation will inform future randomized, controlled trials testing the effectiveness of this translation model to reduce T2DM risk while extrapolating to other sports-based adaptation and age, gender and racial sub-populations.
Background: apple cider vinegar is natural traditional health beneficial nutraceutical used for many aliments. Diabetes mellitus (DM) has been considered a globally major health problem and posing health burden on families and health system. Diabetes is associated with life style that leading to reduce physical activities and increased in obesity. For development of diabetes the known mechanism are endocrine disorders which cause impaired insulin secretion, hepatic glucose over production and insulin resistance. Objective: The aim of current randomized controlled trial was to investigate the effect of apple cider vinegar on glycemic control and biochemical parameters in type 2 diabetic patients with poor glycaemic control. Material & Methods: 110 type 2 diabetic patients according to inclusion criteria were selected and divided into two groups. Interventional group was given 15 ml apple cider vinegar in 200ml water during meal at night time for 3 months. Before and after HbA1C, fasting lipid profile, fasting blood sugar, anthropometrics and dietary changes were assessed and analyzed using IBM SPSS version 20 through paired sample T-test where needed.
The aim of the study is to: - Assess the pattern of glucose homeostasis in patients with B thalassemia . - To detect early impairment in glucose metabolism and prediabetic state in B thalassemia patients using continuous glucose monitoring system. - To study the prevalence and type of DM in B thalassemia patients. - A comparative study of standard insulin therapy compared to insulin pump therapy in thalassemic diabetic patients will be done. The study will include screening of 200 children and adolescents who are regularly attending the Hematology Oncology Clinic and fulfilling the inclusion criteria for abnormalities of glucose homeostasis. A pilot study will be done on 15 patients with abnormal glucose tolerance which will include: A-Continuous glucose monitoring system (CGMS) : A glucometer will be given to each patient and will be asked to measure blood glucose before meals and snacks and record the valus in the CGMS for better calibration . B-Therapeutic intervention: Thalassemia patients who proved to have diabetes according to the ADA criteria will be subjected to • Insulin pump will be tried in each diabetic thalassemic patient versus conventional insulin therapy.
Obesity if known to be associated with brain insulin resistance in humans and evidence is rapidly accumulating that brain insulin resistance influences peripheral metabolism, eating behavior and cognition. A reduced insulin response in the brain is found mainly in people with a metabolically unfavorable fat distribution - high visceral fat. Visceral fat produces inflammatory mediators and elevated inflammatory levels are closely linked to insulin resistance. Inflammation of the brain (i.e., neuroinflammation) has been proposed as a possible cause of brain insulin resistance. Interestingly, rodent models of a high calorie diet show that these inflammatory mechanisms occur rapidly in the brain, even prior to weight gain of the animals. Among other things, it has been shown in humans that a short-term increase in calories, especially carbohydrates and fats, reduces insulin sensitivity in the body and increases inflammatory parameters in the blood. Whether a high-calorie diet triggers insulin resistance or inflammation in the human brain is currently unknown. Aim of study: The aim of the study is to investigate the effects of a five-day high calorie diet in healthy young male volunteers on peripheral and brain insulin sensitivity as well as on eating behavior, mood and cognition. Brain insulin sensitivity, peripheral metabolism and different behavioral assessments will be evaluated before, 1 week and 2 weeks after high caloric diet.
Glycosylated Hemoglobin (HbA1c) is considered as one of the best markers to assess the glycaemia treatment over a period of 3 to 4 months, and is considered as predictive marker for perioperative mortality and morbidity. The impact of the elevated HbA1c on the risk of perioperative major cardiovascular events in patients undergoing coronary bypass revascularization (by retrospective analysis of perioperative cardiovascular events and preoperative HbA1c) is evaluated.
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.
To investigate whether strengthen community diabetes patients self-monitoring of blood glucose can improve the patient's blood glucose control under Chinese guidelines for the prevention and treatment of diabetes (CDS 2017) and whether this intervention produces health and economic benefits.
Diabetic foot syndrome is one of the most frequent complications in type 2 diabetic patients. The present work is carried out with the objective of evaluating the use of DIamel combined with insulin in diabetic foot ulcers. Method. Phase II clinical trial. A study group was created that receives the active product and another control group that receives a placebo. Double-blind study with a monthly follow-up for the first 6 months and then quarterly until the end of 1 year. Complementary tests are performed every 6 months to evaluate metabolic, lipid and renal function control.
This is prospective randomized open single center clinical study to compare effect of sirolimus vs mycophenolate tacrolimus based protocol on pancreas and kidney graft survival in simultaneous pancreas and kidney recipients.
Our lab has developed an artificial pancreas system called the McGill Artificial Pancreas (MAP) for automating insulin delivery. Using patient's basal-bolus parameters (basal rates and ICRs), the artificial pancreas involves a control algorithm that modulates insulin infusion based on the sensor readings and meal information. However, because basal-bolus parameters are difficult to optimize, proper glycemic control is not always achieved. Therefore, we have developed a learning algorithm that estimates optimal basal-bolus parameters using data over several days. The algorithm examines daily glucose, insulin, and meal data to make changes in patients' basal rates and ICRs. The objective of this project is to test our artificial pancreas system with and without the learning algorithm using a randomized crossover design in between 31 and 67 children and adolescents at camp Carowanis. We hypothesize that adding a learning algorithm to the artificial pancreas will improve the performance of our artificial pancreas system by increasing the time spent in target glucose range (4mmol/L - 10mmol/L) compared with the artificial pancreas system alone.