Active clinical trials for "Diabetes Mellitus, Type 1"

Collection of venous blood samples in male T1D patients to evaluate the behavior of different biomarkers (beta-hydroxybutyrate, lactate, glucose) during and after morning Aerobic (60% of VO2 max) and Symptom Limited Maximal Exercise Test.

Patients with Latent Autoimmune Diabetes in Adults (LADA) show autoantibodies that indicate an autoimmune pathogenesis. Glutamic acid decarboxylase autoantibodies (GADA) are most prevalent islet autoantibodies in European patients with LADA. In this sense, it is considered that it is sufficient to determine GADA to identify subjects with LADA from patients with T2D for research purposes. Therefore, the aim was to investigated the presence of GADA in serum of subjects with T2D and its relationship with clinical criteria, metabolic control, drug treatment, and diabetes complications to identify possible patients with LADA in a hospital in southeastern Mexico is worthwhile. The sample was recruited at the Diabetes Clinic of the Regional Hospital of High Specialty "Dr. Gustavo A. Rovirosa Pérez", in the period from January 2020 to May 2021. The diagnosis was based in accordance with World Health Organization (WHO, 1999) criteria. Inclusion criteria: 1) patients previously diagnosed with T2D, 2) absence of insulin requirement for at least 6 months after diagnosis, 3) > 30 and < 50 years old at diabetes diagnosis, 4) BMI < 40 kg/m2, 5) subjects who agreed to participate in the study and signed the informed consent before the interview. Serum GADA and other biochemical concentrations were determined by an enzymatic immunoassay method (Human Anti-Glutamic Acid Decarboxylase ELISA Kit; MyBioSource).

The investigators developed an on-line learning tool "MyFIT" enabling to patients with T1D to acquire the knowledge and skills for practicing functional insulin therapy from their home. The aim of the present study is to evaluate the acceptability of this new learning modality via the tool "MyFIT" by the patients and by the health professionnals.

This study is a case-control study comparing the skin barrier between 50 T1D patients with healthy controls in 3 age-strata including both pediatric and adult patients.

an interviewer-administrated questionnaire was designed to take history of allergy in diabetic child come to outpatient clinic fulfilling inclusion criteria and used to collect data. Skin prick testing was performed to all diabetic children with history of allergy. Laboratory assessment of Serum Total IgE, IL5 and eosinophils%.

The goal of this study is to identify causes of insufficient sleep and sleep disruptors in adolescents with type 1 diabetes. For this study, adolescents will wear an actigraphy watch and complete sleep diaries for seven days. On completion of the seven days, they will complete several questionnaires regarding sleep, fear of hypoglycemia, and anxiety and depression. A subset of participants will additionally complete a qualitative interview session to obtain a deeper understanding of sleep disruptors and barriers and facilitators to improving sleep health.

This study aims to develop Turkish version of the Diabetes Quality of Life Brief Clinical Inventory (DQL-BCI) and to perform validity and reliability evaluations.

Approximately 400,000 people are living with type 1 diabetes mellitus (T1DM) in the United Kingdom: one of the highest rates in the world. It is characterised by autoimmune loss of pancreatic beta cell mass leading to metabolic dysregulation, requiring lifelong insulin therapy. It is now recognised that there are micro-secretors of insulin and that preservation of insulin secretion in these cases is associated with decreased complications. Therefore, recent research has focussed on using immunomodulation to preserve pancreatic beta cell mass. Evaluation of novel therapies for T1DM requires reliable methods to measure beta-cell function, which is unattainable using traditional non-invasive imaging techniques. A new approach is manganese-enhanced magnetic resonance imaging (MEMRI). This proof-of-concept study was designed to investigate whether MEMRI can be used as a measure of beta-cell function in people with T1DM.

A growing body of research has revealed the good psychometric properties and three-component factor structure of DEPS-R in children and adolescents with type 1 diabetes (T1D) but research with adults has limited and has differing results. The Diabetes Eating Problem Survey-Revised (DEPS-R) developed by Markowitz et al is a diabetes-specific self-report instrument to screen eating disorders for individuals with T1D. DEPS-R is a 16-item diabetes-specific self-report questionnaire to test for diabetes-specific eating disorders. Answers are scored on a six-point Likert scale, with higher scores indicating more DEB and a total score of ≥20 indicating a high risk for eating disorders (range 0-80). The original DEPS-R has been shown to have a good internal consistency (Cronbach's alpha=0.86) and construct validity in a sample of the pediatric population with T1D. This study aimed to evaluate the validity and reliability of the Turkish version of the DEPS-R questionnaire for adults with T1D, investigate its psychometric properties and factor structure, and examine its relationship with the EDE-Q questionnaire.

The accuracy of the sensors (Flash vs Enlite glucose monitoring) will be evaluated with a standardized breakfast test. Patients receive a standardized breakfast. The usual insulin bolus will be administered at breakfast. After breakfast, a venous blood sample is taken for 2 hours every 15 minutes to determine the blood sugar. At the same time, the glucose value shown by the sensors will be noted. A comparison of the blood glucose value with the data recorded by the sensor can evaluate the accuracy of the sensor and also estimate the lag-time between the sensor glucose and the venous glucose. Patient satisfaction will be evaluated using a questionnaire that will be completed after the Enlite sensor has been worn for 1 month. The development of skin reactions will be checked by a short questionnaire, supplemented with a picture of possible skin phenomena. The data recorded by the FreeStyle sensor (average glucose,% above target,% within target,% under target, amount of hypoglycemia) in the month prior to sensor switching will be compared to the same data recorded by the Enlite sensor during the first month of use.