View clinical trials related to Continuous Glucose Monitoring.
Filter by:In Korea, 5 million adults aged 30 years or older have diabetes. The development and expansion of Korea's economy and society, has led to dramatic chances in people's lifestyle and diet habits, and an increase in life expectancy. However, changes in lifestyle and diet habits related to the improvements of socioeconomic status may contribute to an increased diabetes burden in Korea. Therefore, it is important to prevent diabetes. The purpose of this study was to evaluate the effects of real time-continuous glucose measurement (RT-CGM) system compared to only lifestyle modification group on blood glucose, lipid profile and diabetes prevention in prediabetic adults with overweight or obesity.
To validate the feasibility of a 15-day wear period of the Cascade CGM system
The purpose of this study is to determine if Continuous glucose monitoring improves glycemic control and pregnancy outcomes of Gestational Diabetes Mellitus
Introduction and objective: The key to optimal diabetes management is tight glucose control. Hemoglobin A1c is the gold standard to assess glycemic control but in cases of unrecognized hypoglycemia, confusing nighttime events or in cases of large variations in blood glucose, a haemoglobin A1c can not detect specific movement of blood glucose. Continuous glucose monitoring (CGM) provides informations of glucose levels in a real-time format and may be helpful for making the personalized therapy decisions desired in the era of precision medicine. Our aim is to analyse the benefit of tracking patterns of glucose values by using continuous glucose monitoring (CGM) in patients with T2DM in family medicine office.
To determine whether 3-month versus 6-month professional CGM utilization improves time spent in target range of 70-140mg/dl in patients with poorly controlled T2DM not treated with insulin.
The purpose of this project is to investigate whether the glucose response in type 1 diabetes patients measured using Continuous Glucose Monitoring measurement is reproducible in repeated standardized test sessions that include physical activity.
Continuous glucose monitoring (CGM) methods provide details of magnitude and duration of glucose fluctuations, giving a unique insight on daily blood sugar control. Limited data are available on glucose variability (GV) in pregnancy. The aim of this study was to assess GV in normal pregnant women and cases of type 1 diabetes mellitus or gestational diabetes (GDM), and its possible association with HbA1c.
Achieving near-normoglycaemia has been established as the main objective for most patients with diabetes. However, it is well known that intensification of treatment is associated with an increase in the frequency of hypoglycemia, especially in the context of insulin therapy. The burden of hypoglycemia in terms of psychological implications, morbidity and even mortality, explains why it has been defined as the main limiting factor to achievement of good metabolic control. Continuous subcutaneous glucose monitoring (CGM) devices have been claimed to be useful in hypoglycemia detection/prevention, allowing theoretically for safer intensification of therapy in diabetic patients. However, accuracy of CGM devices, especially in the hypoglycemic range, raises some concerns. In fact, commercially available CGM devices estimate plasma glucose from measurements in the interstitial fluid and not in plasma. However, the relationship between plasma and interstitial glucose is not fully understood, especially under dynamic conditions, and this may explain the poor CGM performance during rapid changes in blood glucose and hypoglycemia. In this project, the relationship between plasma and interstitial glucose will be evaluated under conditions of normal glucose concentrations and hypoglycemia. Experiments will be performed to assess the role, if any, of different plasma insulin concentrations on the accuracy of CGM. All the information obtained may be relevant to the improvement of the ability of CGM devices to detect hypoglycemia and hypoglycemic risk.