View clinical trials related to Hyperglycemia.
Filter by:Novel barley varieties high in the soluble fiber β-glucan have the capacity to improve population health through improving glycemic control. Sweetened and unsweetened wholegrain barley foods were tested in a randomized, controlled, crossover human clinical trial to assess impact on postprandial appetite and food intake.
This study is assessing the accuracy and usability of a continuous glucose monitor during hospital admissions in youth with hyperglycemia due to diabetes or other underlying conditions that requires frequent glucose monitoring. In addition, pediatric patient/family and nursing staff feedback on their perspectives and usability of the system in the hospital will be assessed through surveys.
This randomized controlled crossover trial of 36 pregnant individuals with gestational diabetes (GDM) or gestational glucose intolerance (GGI) will: 1. Determine the effects of physical activity (PA) timing, specifically 30 minutes of moderate intensity walking or stepping in the morning (between 5am-9am, within 30-40 minutes of starting breakfast), versus late afternoon/evening (between 4pm-8pm, within 30-40 minutes of dinner) on glucose across the 24-hour cycle. 2. Explore the potential effects of the timing of PA on sleep and mood state.
Duchenne muscular dystrophy (DMD) is an X-linked disorder that causes muscle wasting, cardiopulmonary failure, and premature death. Heart failure is a leading cause of death in DMD, but substantial knowledge gaps exist regarding predisposing risk factors. In the general population, hyperglycemia, insulin resistance, and decreased heart rate variability (HRV; reflecting autonomic dysfunction) are associated with cardiomyopathy (CM). It is unclear whether these factors are associated with DMD-CM. Closing this knowledge gap may lead to novel screening and therapeutic strategies to delay progression of DMD-CM, now the leading cause of death in patients with DMD. Despite risk factors for hyperglycemia, including the use of glucocorticoids (GCs), sarcopenia, obesity, and reduced ambulation, little is known regarding glucose abnormalities in DMD. Some of these same risk factors, along with the distance needed to travel for specialty care, present significant barriers to research participation and clinical care for individuals with DMD. Remote wearable technology may improve research participation in this vulnerable population. Therefore, this study will leverage remote wearable technologies to overcome these barriers and define the relationship between dysglycemia and DMD-CM. The goal of this remote study is to evaluate rates of hyperglycemia in individuals with DMD compared to control participants using continuous glucose monitors, and to determine the relationship between hyperglycemia and heart rate variability. Participants will utilize continuous glucose monitors, cardiac monitors, and activity monitors to evaluate glucose levels, heart rate, activity, and sleep.
This study will evaluate the effectiveness of time-restricted eating (TRE), which is a form of intermittent fasting. When performing TRE, individuals consume all of their calories within a specific time window and then only consume water or other no calorie drinks the rest of the day. TRE is performed each day. There is no restriction on the quality or amount of food that people can consume during their eating window (ad libitum eating) with TRE, which can last anywhere from 4 to 12 hours. We are comparing three different 9-hour eating windows to determine whether the start and stop time of the eating window impact blood sugar control in individuals with obesity who also have or are at risk for type 2 diabetes. We also aim to determine if there are differences in the effects of the timing of eating window between males and females.
The primary objective of the STRIVE study is to compare two implementation strategies for Diabetes Prevention Program delivery: an in-person health coach strategy (standard 24 in-person sessions at WIC clinics) vs. a multifaceted technology-assisted health coach implementation strategy (12 in-person sessions at WIC clinics supplemented by technology support) on implementation and health-related outcomes in postpartum women.
Diabetic ketoacidosis (DKA) results in significant morbidity and healthcare utilization and is the main contributor to loss of life expectancy in people with diabetes mellitus type 1 (T1DM) <50 years old. This suggests the need to develop interventions to reduce DKA events. Innovative features of newer continuous glucose monitoring devices offer opportunities for novel strategies to reduce DKA. Designating a family member, friend, or caregiver as a Follower was associated with reduction in HbA1C, increased time in range, and improvement in quality of life metrics in people with T1DM. However, the previously published studies are limited as they were either retrospective, survey-based, or do not overlap with our proposed cohort involving adults ages 18-65 with T1DM (prior prospective studies involved either pregnant women with T1DM or adults ≥60 years of age with T1DM). This study is a randomized controlled trial pilot study to evaluate the effectiveness of an intervention (FAM) using a Follower, Action Plan, and Remote Monitoring of glucose data to reduce severe hyperglycemia, a modifiable risk factor for DKA, in adults with T1DM at high risk for DKA. The intervention uses real-time glucose data sharing with a Follower (family member, friend, or caregiver) and personalized diabetes education provided to the dyad (person with T1DM and their chosen Follower). The study hypothesizes that the FAM intervention will reduce the percentage of time spent with glucose ≥250 mg/dL compared to standard care alone.
The primary aim of this study is to assess the feasibility of the Lab demo 1.0 and associated computational models to detect and track glucose changes noninvasively and transcutaneously in defined and dynamic states of glycemia.
The goal of this project is to bring together staff and clinicians from Northwestern University/Northwestern Medical Group/Northwestern Memorial Hospital as well as patients and caregivers to assess and redesign the identification and management of hyperglycemia and diabetes during and in transitions of care. There will be 3 different groups for the study: a group of providers [Group 1], a group of patients/caregivers and laypersons [Group 2], and a stakeholder group [Group 3]. Participants will be asked to provide input on potential interventions for a future clinical trial.
Duchenne Muscular Dystrophy (DMD) is an X-linked disorder that causes muscle wasting, cardiopulmonary failure, and premature death. Heart failure is a leading cause of death in DMD, but substantial knowledge gaps exist regarding predisposing risk factors. In the general population, hyperglycemia, insulin resistance, and decreased heart rate variability (HRV; reflecting autonomic dysfunction) are associated with cardiomyopathy (CM). It is unclear whether these factors are associated with DMD-CM. Closing this knowledge gap may lead to novel screening and therapeutic strategies to delay progression of DMD related CM. Despite risk factors for hyperglycemia, including the use of glucocorticoids, low muscle mass, obesity, and reduced ambulation, little is known regarding glucose abnormalities in DMD. Some of these same risk factors, along with the distance needed to travel for specialty care, present significant barriers to research participation and clinical care for individuals with DMD. Remote wearable technology may improve research participation in this vulnerable population. Therefore, this study will leverage remote wearable technologies to overcome these barriers and define the relationship between dysglycemia and DMD-CM. In this Aim of the study, the investigators will assess the utility of remote wearable technology to predict changes in traditional metrics of metabolism and cardiac function. In this pilot study, 10 individuals with DMD will undergo cardiac magnetic resonance imaging (CMR) and oral glucose tolerance tests (OGTTs) at baseline and two years. The investigators will remotely assess glycemia (using continuous glucose monitors), HRV (using extended Holter monitors), and activity (using accelerometers) every 6 months over the 2 years and evaluate if changes in wearable metrics predict changes in CMR and OGTT.