View clinical trials related to Diabetes Mellitus, Type 2.
Filter by:The goal of this observational study is to learn about the effects of chromium serum levels on glucose metabolism, lipid metabolism, morbidity and mortality rates in critically ill intensive care patients. The investigators' goal is to provide a different perspective on solving the common problems of hyperglycemia and dyslipidemia encountered in intensive care patients, aiming to reduce morbidity and mortality rates. Participants will give a single blood sample (into trace element serum tube) on the day of admission to the intensive care unit, along with routine blood tests, and samples will be taken once a week during their stay in the intensive care unit.
The objective of the trial is to investigate the effect of adherence to oral semaglutide dosing instructions on glycaemic control in people with type 2 diabetes, which are dysregulated on metformin and naïve to second line antidiabetic treatment.
The goal of this this randomized, clinical trial is to test an automated insulin delivery system (AID) in people with type 1 or type 2 diabetes who are on hemodialysis, peritoneal dialysis, or have advanced chronic kidney disease (CKD). The main objective is: • To test if the AID is superior in regulating blood sugar levels compared with usual care in patients with advanced renal disease Secondary objectives are: • To evaluate the impact on life quality, incidence of low blood sugar, and if the treatment is feasible in this population Participants will be randomized to receive either eight weeks with the AID System (780G from Medtronic) or eight weeks of Control (usual care) with cross over at the end of the first eight weeks. Researchers will compare blood sugar levels between the AID group and the Control group to determine if the AID system is superior in regulating blood sugar levels.
The proposed study aims to demonstrate the potential benefits of transitioning T1DM children from predictive low glucose suspend insulin pump therapy to advanced hybrid closed-loop insulin pump therapy in Romania. Primary Outcome: Variations in HbA1c between baseline visit (V1 - 740G) and assessment visit following three months of 780G insulin pump therapy (V2 - 780G). Secondary Outcomes: changes in insulin requirements, time in range (TIR) levels, time below range (TBR), coefficient of variation (CV), frequency of severe hypoglycemic and hyperglycemic events requiring hospitalization, and PedsQL SF15 questionnaire scores.
This study will look at how well a new medicine called NNC0519-0130 helps people with type 2 diabetes lower their blood sugar and body weight. The study will test up to 7 different doses of NNC0519-0130. Which treatment participant will get is decided by chance. Participants will take 1-3 injections once a week. The study medicine will be injected under skin with a thin needle in the stomach, thigh, or upper arm. The study will last for about 40 weeks.
The goal of this research project is to improve the treatment of individuals living with both type 2 diabetes (T2D) and Binge Eating Disorder (BED). The research hypothesizes that BED treatment will not only improve BED symptoms but also improve T2D severity and associated cardiovascular risk factors. The research involves a multidisciplinary team, including experts in endocrinology, psychology, and eating disorders. The main questions it aims to answer are: - Does treatment for Binge Eating Disorder lead to improvements in BED symptoms? - Does treatment for Binge Eating Disorder lead to improvements in T2D severity and associated cardiovascular risk factors? Participants will undergo a comprehensive treatment program targeting both BED and T2D. This program will include psychotherapy sessions focusing on cognitive-behavioral techniques to address binge eating behavior. Researchers will compare participants' outcomes before and after the treatment program to assess changes in BED symptoms, T2D severity, and associated cardiovascular risk factors.
Type 1 diabetes (T1D) is a common chronic disease of childhood associated with a significantly increased risk of micro- and macro-vascular complications, including neuropathy, nephropathy and cardiovascular diseases. The risk of development T1D comorbidities is associated with glycaemic control, a complex mechanism involving biological, physiological environmental factors. While more than 60 genetic variants were already associated with Glycated hemoglobin (HbA1c) in healthy subjects, very few genes have been identified in T1D individuals. Also, hyperglycaemia could be the cause of epigenetic changes at specific target genes, such as DNA methylation, histone modifications and microRNAs, correlated to accelerated development of diabetes-related complications. Most recently, increasing evidence also suggested that human microbiome may play a crucial role in the onset and progression of T1D and dysbiosis of the gut and oral microbiota was reported as a typical feature of hyperglycaemia. However, potential differences among poorly and good managed T1D subjects have not been still studied. Also, the exact mechanism by long-term hyperglycaemia's acts in T1D remains poorly understood. Therefore, this project will explore an emerging area of research by the study of possible genetic, epigenetic and environmental biomarkers among T1D subjects with different glycaemic control.
The primary aims of this study are: 1. To test the acceptability and feasibility of the electronic DTU intervention (eDTU) that has been adapted for cultural relevance and online delivery compared to waitlist control and the in-person DTU (iDTU). The hypothesis is that the adapted intervention will be culturally acceptable (by participant satisfaction scores) and well-subscribed (intervention attendance rates). 2. To test differences in diabetes distress and A1c change scores between intervention (changes in T2 to T4) and waitlist control (change in T1 to T2) by intervention group (eDTU vs. waitlist control; iDTU vs. waitlist control). The hypothesis is that both the eDTU and iDTU groups will show significant improvements in diabetes distress and A1c compared to waitlist control. In order to conserve sample size and budget, participants in each intervention group will serve as their own waitlist control. Secondary Objective. The secondary aim of the study is to evaluate changes in depressive symptoms, diabetes self-efficacy, and general and diabetes-specific quality of life in intervention (T2-T3 & T4) compared to waitlist control (T1-T2). An exploratory aim will be to compare changes in eDTU to the iDTU pre/post intervention (T2-T3 & T4). The hypothesis is that both groups will show comparable improvements in diabetes distress and A1c.
The principal objective of this study is to investigate the feasibility of including a digital mental health intervention (Wysa in Hindi) within pre-existing usual care to support adolescents and young adults with Type 1 Diabetes (T1D) who have mild and above mental health distress (operationalized as Patient Health Questionnaire-9: 5-14 scores; or Diabetes Distress Scale-17: >2.0 mean score) with their mental health distress. This will be conducted through an exploratory randomized control study comparing Wysa in Hindi plus usual care with a control arm that just has usual care. The study further explores the effectiveness of the digital mental health intervention using the Patient Health Questionnaire (PHQ-9) and Diabetes Distress Scale (DDS-17).
The prevalence of diabetes has been increasing year by year. According to the International Diabetes Federation (IDF) statistics in 2021, the global number of people with diabetes has reached 537 million. The patient population is large and heterogeneous, and precise diagnosis and treatment of diabetes patients have been a focus of attention. The objective of this study is to clarify the current status of precision classification and diagnosis of diabetes patients through retrospective and prospective cohort studies, and to establish a model for precision classification and diagnosis of diabetes, improving the accuracy of diabetes classification and diagnosis; based on big data of precision medicine for diabetes patients and follow-up cohorts, to establish precise diagnostic, therapeutic, and predictive methods for diabetes; and through multi-omics data analysis, to explore the potential pathogenesis of diabetes, explaining the heterogeneity of patients, and guiding individualized treatment for patients.