View clinical trials related to Type 1 Diabetes.
Filter by:The DreaMed Endo.Digital is indicated for use by healthcare professionals treating individuals with Type 1 Diabetes (T1D) who use insulin pump or multiple daily injections (MDI) as their insulin delivery therapy and monitor their glucose levels by using Continuous Glucose Monitoring (CGM) or Flash Glucose monitoring (FGM), or SMBG above the age of 6 years old and below 30 years. DreaMed Endo.DigitalTM is indicated for use by healthcare professionals when analyzing CGM/SMBG and pump or MDI data to generate recommendations for optimizing a patient's insulin pump settings for basal rate, carbohydrate ratio (CR), and correction factor (CF); or MDI settings for basal rate, carbohydrate ratio (CR), and correction factor (CF) or Sliding Scale without considering the full clinical status of a particular patient. DreaMed Endo.DigitalTM does not replace clinical judgement. The proposed study is an open label, interventional study that will include up to 500 participants with type 1 diabetes using insulin pumps or MDI therapy and monitoring glucose levels by continuous glucose monitoring including flash glucose monitoring or SMBG. The proposed study will be 12 months, therefore will include 5 routine clinic visits. At each visit, participants who use pump therapy will download their pump and glucose data (V1-V5) as they use to do at clinic visit. Participants who use MDI therapy will use the Endo.Digital App for insulin and glucose documentation and will upload data from their CGM/FGM or glucometer as they use to do at clinic visit. In addition, participants will be offered to download data also at home in between study visits, every 3-6 weeks as they feel needed (Phone visits). Each time, optimization of pump settings or MDI will be done according to the downloaded data using the Endo.DigitalTM system. The device recommendations for insulin dosing adjustments and diabetes management tips will be reviewed by the treating physician. Each new treatment settings will be approved or edit by the study physician prior to implementation by the participant. At study completion, glycemic control will be evaluated by measured HbA1c and the data obtained from the participant devices and CGM/glucometer metrics, or Endo.Digital App data for MDI users.
This study is intended to test a Web-based Information Tool (WIT) software providing additional information regarding time in range, GMI, hypo- and hyperglycemia risks, variability tracker, daily glycemic profiles, and potential changes of insulin pump parameters, to users of a commercially available Closed-Loop Control (CLC) System (Control-IQ Technology).
The goal of this clinical trial is to test a drug known as DFMO in people with Type 1 Diabetes (T1D). The main question[s] it aims to answer are: - Does it reduce stress on the cells that make insulin? - Does it preserve what is left of the body's insulin production? Participants will take either DFMO or a placebo (looks like DFMO but has no active ingredients) two times a day for about 6 months. Participants will have 6 in person visits and 1 phone visit over a period of 12 months. Visits will include blood draws urine collection and other tests.
Adolescence presents a challenging time for type 1 diabetes management, and despite a multitude of studies aimed at increasing disease compliance in this age group, none have been deemed superior. The purpose of this study is to incorporate mindfulness skills in with diabetes education sessions for adolescents with type 1 diabetes and study if this translates to improved outcomes in glycemic control, patient satisfaction, and mental wellness.
The use of continuous glucose monitoring (CGM) is becoming the new standard in glycometabolic control in patients with Type 1 Diabetes Mellitus (T1DM) even in subjects in multiple daily insulin injections (MDI). Compared to self-monitoring of blood glucose (SMBG), the CGM systems allow continuous monitoring of the glycemic trends contributing to modify the therapeutic habits of adult and pediatric patients with T1DM and allowing to better managing of critical situations such as hypoglycemia. Recently, the accuracy and reliability performance of the latest generation of CGMs using predictive alarm for hypoglycaemia and hyperglycemia has been compared to other commercially available CGM systems, showing good levels of concordance. The use of this new technology, through the continuous monitoring of the pre-and post-prandial glucose levels and the evaluation of the glycemic trends, could influence the therapeutic habits of patients and could substantially contribute to modifying insulin therapy. Furthermore, the presence of the predictive alarm technology for hypoglycemia could lead to reduce the number of hypoglycemic episodes and to modify the way these hypoglycemic episodes are managed; moreover, the use of this technology could improve the time spent in the target glycemic range [Time in Range (TIR), 70-180 mg/dl] with possible improvement also in glycemic variability control.
Prospective observational study to analyse the clinical effectiveness of a diabetes educational program to improve intermittently continuous glucose monitoring (iCGM) adherence in adult type 1 diabetes (T1D) patients
Current evidence suggests a bidirectional association between periodontitis and diabetes. Periodontal therapy improves short term HbA1c levels and is safe to perform. Most studies are focused on type 2 Diabetes. Literature about the correlation between periodontitis and type 1 diabetes is scarce, since no randomized clinical trials have been performed. The objective of the present clinical investigation is to evaluate the effects of nonsurgical treatment of periodontal disease on glycemic variability in patients with type 1 diabetes (T1DM). The hypothesis is that nonsurgical periodontal therapy affects glycemic variability in terms of time spent in hyperglycemia.
Consistent use of continuous glucose monitors (CGM) has the potential to improve glycemic control and related type 1 diabetes (T1D) health outcomes, however young adolescents with T1D are the least likely age group to begin and sustain use of CGM. The proposed study will conduct a feasibility trial of a behavioral intervention designed to optimize use of CGM in adolescents specifically targeting underrepresented populations in diabetes technology research.
Design and methods 12 athletes with T1D and 12 healthy athletes are included in a prospective experimental randomized, cross-over study. Athletes are provided with a Dexcom G6 CGM to measure glucose excursions before, during and after exercise and a Holter ECG-E-patch to measure HRV. Psychological stress levels are assessed from Competitive State Anxiety Inventory-2. The athletes are studied on two occasions: Day 1: 5K running competition and Day 2: 5K high intensity training session (running) in the athletes' regular training environment. Endpoints Primary endpoints: Change in plasma glucose from start of exercise to end of exercise during competition compared to training. Secondary endpoints: Hormonal response (cortisol, adrenalin, noradrenaline). Changes in heart rate and HRV before, during and after exercise. CGM-glucose and plasma glucose discrepancies.
Sleep is crucial for physical and mental health. Environmental, social, or professional pressures can cause sleep duration to fall below the recommended 7-9 hours of sleep per night. Young adults with type 1 diabetes, have additional interference with fear, control and management of hypo/hyperglycemia management, alarms from their devices, which delay bedtime, disrupt sleep and generate multiple awakenings and difficulty returning to sleep. Sleep disturbance is correlated with blood glucose variability as recently demonstrated by a coupled analysis of sleep and glucose level collected by Continuous Glucose Monitoring (CGM). In this study, higher glucose variability predicted impaired sleep at the individual level. Automated insulin infusion has shown impressive results in clinical and real-life studies, with more than 90% of patients achieving good glycemic control. Il seems to improve sleep quality in subjects after 4 weeks in hybrid closed-loop, self-administered studies compared to a control group. The main objective of our study is to measure the positive influence of a better glycemic control on the different sleep parameters in subjects with type 1 diabetes at the time of the passage in hybrid closed-loop and in comparison to an identical period in open-loop.