View clinical trials related to Hypoglycemia.
Filter by:The overall objective and Primary Aim of this Limited Competition: Small Grant Program (R03) is to address the critical need of identifying and decreasing fear of hypoglycemia, which will be accomplished by conducting a pilot randomized clinical trial to evaluate the efficacy of Blood Glucose Awareness Training, which has been adapted for, but never evaluated in adolescents with Type 1 Diabetes (T1D) and their parents.
The purpose of the study is to determine the effects of insulin suspension at start of exercise in individuals with type 1 diabetes. A total of 3 sessions will be required for this project. The first will be a familiarization session that requires completed informed consent, anthropometric measurements (height, weight, body fat percentage), questionnaires, and a test of maximal aerobic fitness. The remaining 2 sessions will be steady-state aerobic exercise as well as circuit exercise.
This study compares the hypoglycemic counter regulatory response in type 1 diabetics and in healthy control subjects with and without antecedent hypoglycemia
Hypoglycemia is the most common metabolic problem faced after birth. The investigators will be studying the utility of using a continuous glucose monitoring(CGM) system to more closely monitor low blood sugars in newborns. The investigators will evaluate the number of hypoglycemic events detected using CGM and compare it to those detected using current standard of care screening methods.
This clinical study proposes to assess the impact of Libre on frequency, duration and severity of hypoglycaemia, compared with the Dexcom G5 realtime CGM and will focus on people with impaired awareness of hypoglycaemia.
The EarEEG system is a novel non-invasive, unobstructed and discrete method for recording EEG in which the signal is recorded using dry-contact electrodes embedded on a customised ear piece. One intended medical indication of the EarEEG system is the detection of hypoglycaemia-induced changes in the EEG in patients with type 1 diabetes. Currently, no studies exist investigating the detection of hypoglycaemic episodes by use of ear electrodes. While a finger prick test accurately measures the blood glucose level, it does not provide continuous measurements, and hence it is unreliable as a hypoglycaemia alarm. Recent studies have indicated that the use of continuous glucose monitoring (CGM) reduces the risk of severe hypoglycaemia. However, some find these devices troublesome to use and utilisation of CGM has remained limited to date. Observational data show that only a small percentage of patients with type 1 diabetes are using CGM on an ongoing basis. Thus, there is a medical need for a reliable hypoglycaemia detection device which is easy and convenient to use. This clinical study aims at investigating the feasibility of measuring hypoglycaemia induced changes in the EEG by use of the EarEEG system.
Diabetes is a chronic and progressive disease that affects nearly 3.5 million people in France. Currently the investigators are seeing an aging of the population explained by the increase in life expectancy and thus an increasing incidence of diabetes in the elderly. However, the frequency of hypoglycemia in older vulnerable patients remains poorly characterized
Hypoglycaemia in subjects suffering from type 2 diabetes may have substantial consequences including a significant negative impact on quality of life. Further, repeated minor hypoglycaemias may result in significant productivity losses. Here, the investigators propose to provide quantitative results on cognition during an acute mild hypoglycaemic episode (target plasma glucose 3 mmol/L) in 28 subjects with type 2 diabetes. Data will be provided on executive function, attention and memory.
Our goal for this Learning Healthcare System Demonstration Project is to reduce the rate of inpatient hypoglycemia. Hypoglycemia can result in longer lengths of stay and increased morbidity and mortality (ie falls and cardiovascular or cerebral events). The group at Washington University (WSL) developed a predictive hypoglycemia risk score. Using current glucose, body weight, creatinine clearance, insulin type and dosing, and oral diabetic therapy, they identified patients at high risk for hypoglycemia and then provided in-person education to the providers of these patients. This resulted in a 68% reduction in severe hypoglycemia (blood glucose < 40 mg/dL). This approach required significant personnel hours and is difficult to replicate in other systems. The investigators will implement an EHR-based intervention at UCSF to predict which patients are at high risk of inpatient hypoglycemia and take action to prevent the hypoglycemic event. In real time, all adult (non OB) patients with a glucose < 90, and a high risk of future hypoglycemia (based on the WSL formula) will be identified. Patients will be randomly assigned to intervention or no intervention (current standard care). The intervention will consist of an automated provider alert with recommendations on what adjustments could be made to avoid a potentially serious hypoglycemic event. The outcomes that will be measured include: 1) reductions in serious hypoglycemic events, 2) monitor the changes made by providers as a result of alerts in order to study provider behavior and identify future areas of intervention, and 3) provider satisfaction with the alert system.
This study is designed to evaluate the safety, efficacy, and pharmacokinetic profile of single ascending doses of exendin 9-39 administered by subcutaneous route in subjects with post-bariatric hypoglycemia.