View clinical trials related to Type1diabetes.
Filter by:Type I Diabetes Mellitus (TIDM) is a chronic metabolic disorder caused by the immune-mediated T-cell and macrophages that typically affects insulin-producing β-cells of Langerhans leading to cell destruction and absolute insulin deficiency. This study aimed to investigate the correlation of RAGE gene polymorphism rs1800625 with the incidence of type I diabetes mellitus in the Egyptian patients with the activity and the severity of the disease and to assess their association with inflammatory reactions in TIDM patients (IL-6, TNF-α). Also, this study investigated the relation between MiRNA-34, MiRNA-146, to TID severity and activity
Type 1 diabetes (T1D) affects approximately 2 million Americans, and only 2 in 8 young adults ages 18-30 years achieve glycemic targets (glycated hemoglobin A1C <7.0%). Achieving glycemic targets is associated with reduced risk of micro-and macrovascular complications. Sleep deprivation leads to impaired glucose tolerance and insulin sensitivity in adults without chronic conditions and with T1D. Promoting sleep in laboratory and natural environments contributes to improvements in insulin sensitivity, glucose levels, and distress symptoms in young adults without chronic conditions and more time in range in adolescents with T1D. Multiple dimensions of sleep health (alertness, timing, efficiency, and sleep duration) are associated with better achievement of glycemic targets in adults with T1D. Therefore, sleep health dimensions are appropriate therapeutic targets to improve glucoregulation and other diabetes self-management outcomes in this population. Our primary objective is to evaluate the immediate and short-term effects of a 12-week CB-sleep intervention compared to enhanced usual care (time balanced attention control) on actigraphy- and self-report derived sleep health dimensions and diabetes self-management outcomes (glycemia and distress symptoms) over 9-months (Stage II of the NIH Model for Behavior Change, ORBIT phase III). CB-sleep is guided by principles and practices from motivational interviewing and the Transtheoretical Model of Behavior Change with interactive stage-matched sessions.
Adolescents with type 1 diabetes (T1D) experience more disturbed sleep compared to their healthy peers, especially because they tend to spend less time in deep sleep, the most restoring part of sleep, potentially impacting diabetes management. Disturbed sleep may adversely affect diabetes management which requires day-to-day decision-making, emotional and behavioural regulation, attention, and planning. Despite a massive increase in new technology, more than 50% of adolescents do not reach their glycaemic target. Lack of sleep impairing diabetes management including blood glucose monitoring may play an important role in reaching the goal. For approximately 4000 children and adolescents in Denmark living with T1D, sleep disturbances may therefore account for short and long-term diabetes complications. Our overall aims are to investigate: (1) If and how glycaemic variability (GV) influences sleep quality and sleep stages and (2) if and how poor sleep quality influences time-in-range (TIR), time-above-range (TAR) and time-below-range (TBR) the following day.
OVERVIEW: People living with type 1 diabetes (T1D) are expected to fit self-management and regular clinical consultations into busy lives. T1D self-management programs that offer frequent contact with care teams are most effective in helping patients achieve optimal glycemic control. However, this is difficult to deliver in the context of current T1D care which involves time-consuming in-person visits during working hours. The proposed study will test a virtual health care intervention to deliver "high frequency, low touch" care aimed at improving metabolic control, while reducing the burden on individuals and their healthcare teams. STUDY DESIGN: A pragmatic multicenter, open-label, randomized trial to evaluate the short-term effectiveness of a multifaceted virtual health care intervention in improving glycemic control in individuals with T1D. Planned recruitment is 580 participants from 10 specialized T1D centres in Ontario. INTERVENTION: Our intervention will include 1) frequent, brief virtual visits between patients with T1D and certified diabetes educators (conducted in real time using a secure telemedicine video interface accessible from any PC, tablet or smart phone) combined with automatic appointment reminders, and 2) a centralized web-based platform to provide educational classes, tools, and resources for diabetes self-management. Virtual visits will be an adjunct to routine in-clinic visits for blood pressure monitoring, foot checks, and surveillance for other complications of diabetes. This approach aims to enable patients to receive more education and support than is feasible in traditional health care models, and in a way that is more seamless (i.e. results in fewer disruptions to their daily life) and tailored to their individual needs based on their stage in life.
Fasting in Ramadan is not recommended for people with type 1 diabetes. The main risk associated with fasting is dysglycemia (hypoglycemia, hyperglycemia, diabetic ketosis) and dehydration. Nevertheless, whether or not to practice Ramadan remains a personal choice and many people living with diabetes choose to perform this fast with or without their physician's approval. The purpose of this prospective observational study is to evaluate the safety and efficacy of an closed-loop hybrid insulin system on glycemic parameters and the level of hypoglycemia in patients with type 1 diabetes who wished to fast during Ramadan.
This study was planned as a randomized controlled experimental study to determine the effect of exercise with Augmented Reality Glasses (AR) on metabolic parameters, anthropometric measurement values and quality of life in children with T1DM aged 10-12 years. The research will be carried out with children aged 10-12 with T1DM who are followed up in Erciyes University Health Application and Research Center Fevzi Mercan-Mustafa Eraslan Children's Hospital Pediatric Endocrinology Outpatient Clinic. A total of 30 (AR exercise group=15 and control group=15) children with T1DM between the ages of 10-12 will be included in the sample of the study, according to the sampling calculation. The data of the study, Descriptive Characteristics Form for Children with T1DM and Their Families, Serum and Urine Biochemistry Values Form, Anthropometric Measurement Values Form, Quality of Life Scale for Children with Diabetes Mellitus Child and Parent Form (PedsQL 3.0), Augmented Reality Glasses, Continuous Glucose Tracker, Blood Glucose Meter, Body Composition Analyzer, Caliper, Tape Measure and Digital Height and Weight Meter. Ethics committee approval from "Erciyes University Clinical Research Ethics Committee" and institutional permission from "ERU Health Application and Research Center Mustafa Eraslan Fevzi Mercan Children's Hospital" were obtained in order to conduct the study. Hypothesis tests, correlation and regression analyzes will be applied according to the suitability of the data for normal distribution. As a result of the study; Exercise practice with augmented reality glasses is expected to improve metabolic parameters and anthropometric measurement values and increase the quality of life in children with T1DM. The main question it aims to answer are: Exercise with augmented reality glasses in children with T1DM; - It has an effect on metabolic parameters. - It has an effect on anthropometric measurement values. - It has an effect on the scores of the Quality of Life in Children with Diabetes Mellitus Scale-Child and Parent Form (PedsQL 3.0).
Diabetes distress has been identified as one of the largest contributors to the racial disparity in glycemic control that disproportionately burdens Black patients ages 18-30 years with type 1 diabetes (T1D). In order to combat this issue, this study assesses the feasibility of the culturally tailored intervention T1DES and evaluates the effect of the T1DES intervention on diabetes outcomes in a pilot randomized clinical trial among Black young adults with T1D.
In previous study the investigators proved that blood glucose after eating pizza margherita could be managed with a simple wave bolus of insulin in pediatric patients with type 1 diabetes under controlled conditions. Participants in this previous study were Predictive Low Glucose Suspended (PLGS) System users. In this study the investigators want to demonstrate that blood glucose after the meal pizza margherita could also be managed with simple wave bolus of insulin in real life. The investigators will include just the patients with Hybrid Closed Loop (HCL) System.
Analysis of glycemic control, frequency of hypoglycemia, glycemic variability, patient satisfaction and patient-perceived quality of life in patients with type 1 diabetes mellitus and continuous real-time glucose monitoring, the use of a smart pen compared to a closed loop system.
The study proposes to recruit 90 children and young people who have type 1 diabetes (T1D) and who regularly use Dexcom continuous glucose monitoring (CGM). The participants will be recruited from National Health Service (NHS) sites in the United Kingdom (UK) via their managing dietitian. The dietitian will be asked to provide baseline information about the participants which will include demographic data and information on clinical data, treatment and anthropometrics. Participants will be asked to provide access to Dexcom CGM data throughout the period of recording. Participants will be asked to test three breakfast meals (high glycaemic load, high glycaemic with 10g added protein and medium glycaemic load) plus a control meal (usual breakfast), repeating each meal twice in a randomized order using a Latin square randomisation. The dietitian will be asked to optimise the participants insulin doses prior to commencing test meals. Participants will be asked to complete a questionnaire for each of the postprandial test and control meal periods. This will include questions about their diabetes management, food and fluid intake in addition to questions on activities all of which took place during the three-hour postprandial period. The glycaemic response to the test and control meals will be analysed using the CGM data and the results statistically described using univariate, bivariate and multivariate analysis.