Active clinical trials for "Diabetes Mellitus"

This protocol reflects the first part of a larger mixed-methods study aimed at exploring the process by which global recommendations can be translated into context-specific, evidence-informed action for diabetes prevention in low-resource settings. The CEAD project will be carried out in 2 low-resource settings in Ecuador. Here, in recognition that rigorous epidemiological data on diabetes risk and morbidity is needed to explore applicability of potential actions, the investigators will undertake 2 representative cross-sectional population survey using geospatial sampling. We will collect dat by interview in the homes of the participants using WHO STEPS questionnaires and measure participants' physical and biological parameters.

Epidemiologic studies have revealed a tremendous increase in the prevalence of diabetes and related mortality worldwide. In order to meet all the challenges in the treatment of metabolic diseases in China, the National Metabolic Management Center (MMC) was founded in 2016. The objective of the MMC is to launch a new metabolic disease management model based on the Internet health information platform. It allows the application and evaluation of diabetes treatment strategies at these centers. The proprietary electronic medical database in the MMC will help the dynamic big-data analysis in diabetes epidemiology, prevention, diagnosis, and treatment. It will also provide prospective data support including economic evaluation in management of chronic diseases for the Healthy China 2030 strategy. Objective The purpose of the present study is to establish a multi-center nationwide prospective database of diabetes patients in MMCs, including clinical data, biological samples library so as to explore the epidemiology, genetics, new biomarkers, risk factors, and prognostic methods related to diabetes and its complications, as well as other metabolic diseases. To collect cross-sectional data from patients seen and treated at each MMC centers so as to evaluate: the current status of care of patients with diabetes and its related complications, as well as other risk factors treatment strategies at these centers. Patients'costs and quality of life (QoL) will also be evaluated. To collect the prospective data of patients treated at each MMC centers in order to evaluate the strategies for the achievement of treatment goals, changes in management, control of risk factors, incidence and progression of all-diabetes related clinical endpoints (including mortality), behavioral changes, psychological well being as well as costs and QoL.

The true burden of diabetes in sub-Saharan Africa (SSA) is unknown as most of the countries do not have good quality data. As such, the overall estimate of diabetes prevalence is largely based on modelled estimates, which may not be accurate. Additionally, there is lack of clear guidance on which method and thresholds to use in the diagnosis of diabetes in African populations unlike in high income countries (HIC) where such guidance is clear. The limited data available shows that diabetes in Africa manifests differently for example occurring at younger age and in relatively lean individuals. Moreover, where the oral glucose tolerance test (OGTT) has been used to screen for diabetes, a significant proportion of individuals have isolated postprandial hyperglycaemia (IPH): The reasons for this differential manifestation are unclear and the diabetes progression of these unique phenotypes (for example in terms of risk of complications is unknown or response to treatment is unknown). Therefore, the overall aim of this research is to undertake a large study to determine the true prevalence of diabetes and identify/characterize the different phenotypes; 2) establish a cohort patients with diabetes to understand the natural course of these different phenotypes, including how they respond to treatment (i.e. do the IPH or thin diabetics progress at the same rate as obese, and are the currently used intervention/therapeutic approaches equally effective in the different phenotypes?). The collected data is likely to be directly relevant to an improved understanding of the cause and progression of diabetes, diagnostic test performance, and diabetes care in SSA, ultimately leading to better patient outcomes and well-being, as well as enhanced productivity.

Therapeutic Confirmatory Study to Evaluate the Efficacy and Safety of DWP16001 in Combination with Metformin in Patients With Type 2 Diabetes Mellitus who Have Inadequate Glycemic Control on Metformin Alone.

Cardiovascular (CV) diseases are the most frequent type 1 diabetes (T1D) complications. A recent epidemiological study showed that patients with T1D have a two-fold CV mortality risk, even in case of good glycemic control. In addition, it has been shown that patients with T1D with no traditional CV risk factors had about a 80% higher risk of cardiovascular event compared to non-diabetic individuals. This indicates that further modifiable risk factors in relation to CV mortality remain to be identified. One of the candidates that could help to disentangle the factors associated with the increased CV mortality in T1D patients is glycemic variability which could contribute to diabetes complications. Indeed, severe hypoglycaemia, one of the most severe consequence of glycaemic variability, are associated with a higher mortality in patients with type 1 and type 2 diabetes. In order to evaluate the relation between glycemic variability, insulin therapy modalities and CV risk as well as some other questions related to health determinants of T1D, we are building up a large observational, prospective, multi-centric cohort study of patients gathering 15,000 patients with T1D, age above 6 years old, to perform the following: Collecting clinical information Evaluating Glycemic variability (assessed by the coefficient of variation of glucose (CV) calculated from automatically downloaded continuous glucose monitoring data (CGM) Biobanking including plasma, DNA, urine, saliva and hair. Collecting patients' reported outcomes through auto-questionnaires (online questionnaires). Doing an active follow-up for a period of 10 years with an intermediate visit every 3 years. Passive follow-up: link to national Health data system (Système National de Données de Santé, SNDS) in order to exhaustively collect health events as death, CV events and hospitalizations (including severe hypoglycemia).

The purpose of this study is to determine if patient's own Continuous Glucose Monitor (CGMs) worn in the non-ICU hospital setting have adequate accuracy for blood glucose monitoring when compared to point-of-care (POC) capillary glucose measurement, and to determine if alerts given by CGMs worn in the non-ICU hospital would prevent episodes of hyperglycemia and hypoglycemia.

To the investigator's knowledge, there are no data available in the current literature regarding the acute effects of postprandial hyperglycemia and insulin timing on myocardial perfusion in people with type 1 diabetes (T1D). Observational studies using CEU in type 2 diabetes demonstrate that postprandial hyperglycemia determines myocardial perfusion defects. The investigator hypothesizes that the combination of postprandial hyperglycemia and insulin increases pulse wave velocity (i.e., aortic stiffness) and myocardial vasoconstriction, thereby reducing myocardial perfusion in T1D when compared to healthy controls. Furthermore, the investigator hypothesizes in T1D that dosing insulin before meal intake will ameliorate these cardiovascular defects.

This is a randomized, controlled study in people living with type 1 diabetes using an automated insulin delivery (AID) system. Participants will be assigned to a control diet (45% carbohydrate) or a low carb diet (25% carbohydrate). The objective is to establish whether the low-carb diet improves time to glycemic targets at 3 months and whether the diet is realistically maintained at 1 year in patients using an AID-DIY system.

Type 2 diabetes is a risk factor of heart failure and cognitive decline. Heart failure at its early stage is often silent. At present, primary prevention for heart failure is not available. Our aim is to identify diabetic patients at risk of heart failure in order to develop personalized preventive strategies. Type 2 diabetes is vascular and metabolic risk factor for cognitive decline though a direct lesional effect but also through an interaction with underlying neurodegenerative lesions. Our aim is to identify diabetic patients at risk of cognitive decline in order to develop personalized preventive strategies

It is now well documented that changes in gut microbiota composition accompany obesity and type 2 diabetes (T2D) and contribute to low-grade inflammation, insulin resistance,and glucose intolerance. It is not yet clear if T2D predisposes the intestine to allow more microbial products or possibly live bacteria to subvert the gut mucosal barrier. However, it is known that hyperglycemia during T2D induces a more permissive gut barrier allowing increased penetration of microbes and their products into the blood. An important next step is to determine which strains of bacteria promote dysbiosis, allowing bacteria or bacterial components to subvert the gut barrier and alter glucose control. It is hypothesized that gut microbes in the colon and other lower gut segments are key modulators of energy balance, glucose homeostasis and insulin sensitivity.