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Active clinical trials for "Diabetes Mellitus"

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Chinese Alliance for Type 1 Diabetes Multi-center Collaborative Research

Type 1 Diabetes Mellitus

The China Alliance for Type 1 Diabetes (CAT1D) is committed to exploring and implementing the model of graded diagnosis and treatment of type 1 diabetes and comprehensive management of outpatient service, carrying out a series of educational activities for patients, and cooperating in the development of multi-center prospective clinical research on type 1 diabetes.

Recruiting6 enrollment criteria

Cohort Study on Patient Outcomes, Effectiveness and Cost-effectiveness of Intervention Programmes...

HypertensionDiabetes Mellitus6 more

Objectives: To determine the outcome trajectories of patients with hypertension (HT) and/or diabetes mellitus (DM), and evaluate the long-term effectiveness and cost-effectiveness of the Risk Assessment and Management Programmes (RAMP) and other primary care services such as Patient Support Call Centre (PSCC) on reducing complications and mortality Design: Population-based cohort study Setting: Hospital Authority (HA) primary care clinics Participants: All patients aged ≥18 years with DM or HT managed in HA primary care clinics between 2006 and 2021 Main outcome measures: (1) incidence of DM/HT-related complications (cardiovascular disease, end-stage renal disease, retinopathy, neuropathy and all-cause mortality); (2) service utilization (out-patient clinics, Accident and Emergency and overnight hospitalizations); (3) Incremental cost-effectiveness ratio per complications or all-cause death avoided, and per QALY gained by RAMP or PSCC. Methods: A naturalistic cohort study (maximum 10-year follow-up) and retrospective data extraction from the HA clinical management system (CMS) database will be conducted to identify and correlate outcome trajectories of HT and/or DM patients with personal, service delivery and process of care factors. Outcomes of propensity score matched cohorts who have and have not participated in the programmes will be compared. Multivariable Cox proportional hazards regression and Poisson/negative binomial regression will be conducted to evaluate the effect of RAMP, PSCC and other primary care services on the risk of complications, mortality and service utilization. Empirical costs and effectiveness data will be used to calculate cost-effectiveness from the provider's perspective. Significance: Findings will inform how to optimize service delivery for HT/DM patients in Hong Kong

Recruiting23 enrollment criteria

Effects of Empagliflozin on Cardiac Microvasculature and Insulin Sensitivity in Subjects With Type...

Type2 DiabetesInsulin Sensitivity

The aim is to test in T2DM patients, whether, compared to placebo, 12 weeks of SGLT-2 inhibitor improves post-absorptive, post-insulin infusion or postprandial insulin action to enhance Cardiac Muscle vascular function and whether changes correlate with improved GV or postprandial hyperglycemia

Recruiting17 enrollment criteria

Peripheral Vascular REactivity and Muscular Oxygenation in Diabetes Mellitus

Diabetes MellitusVascular Complications1 more

Oxygen is required for an optimal muscle function. In patients with diabetes mellitus, hyperglycemia can cause vascular complications. The endothelium (inter layer of the blood vessels) can be damaged leading to a reduced oxygen flow towards the muscle cells. Besides, it is possible that mitochondrial dysfunction is occuring leading to reduced extraction of oxygen. Both conditions will lead to a reduced flow of oxygen towards the muscle and this can have impact on the production of energy necessary for optimal functioning. In this study, the investigators will examine the functionality of the blood vessels (1) and the uptake of oxygen into the muscles (2) in patients with diabetes mellitus type 1 and type 2 (with and without vascular complications) compared to healthy persons.

Recruiting7 enrollment criteria

Contextualizing Evidence for Action on Diabetes - Population Survey

Diabetes MellitusType 2

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.

Recruiting5 enrollment criteria

The Efficacy and Safety of DWP16001 in Combination With Metformin in T2DM Patients Inadequately...

Diabetes MellitusDiabetes Mellitus4 more

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.

Not yet recruiting10 enrollment criteria

Identification and Characterization of Diabetes in Low-resource Populations

Diabetes

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.

Recruiting5 enrollment criteria

GGT and Uric Acid to Predict Gestational Diabetes Mellitus

Gestational Diabetes

Gestational Diabetes Mellitus (GDM) is a common metabolic complication of pregnancy defined as new onset hyperglycemia during gestation. GDM conveys significant risk of morbidity and mortality for both mother and infant. An estimated 268,900 infants were born to mothers with GDM in the USA, accounting for approximately 6.9% of births. Although individual correlations have been found between elevated GGT and uric acid levels and later development of GDM, no research has established and validated combined criteria for GGT and uric acid levels that would lead to their use in identifying women at high risk of GDM in the first trimester. Central Hypothesis: Serum GGT and serum uric acid collected between >9-14.0 weeks gestation will be significantly elevated in women who later develop GDM compared to those who do not. Combined analysis of serum uric acid and GGT levels within the first trimester allows for accurate prediction of the development of GDM. Study population includes women between 9-14 weeks gestation undergoing a standard first trimester blood draw. Additional blood will be drawn during the standard blood draw to assess GGT and uric acid levels. Research participants will be tracked afterwards to determine whether they tested positive for gestational diabetes during the standard testing process which typically occurs at 24-28 weeks gestation. The data will then be analyzed to estimate the sensitivity, specificity, positive and negative predictive values of the first trimester GGT and uric acid tests. The GGT and uric acid levels which maximize the area under the receiver-operator characteristic curve will be identified.

Recruiting8 enrollment criteria

MR-based Characterization of Bone Marrow in Its Relevance to Skeletal Disease in Patients With Diabetes...

Diabetes MellitusType 22 more

For a long time, no direct connection was seen between the two common diseases diabetes mellitus and osteoporosis. However, as more and more younger people are affected by obesity, develop type 2 diabetes mellitus and suffer osteoporotic fractures, the question of a connection between these clinical pictures has now arisen. Modern magnetic resonance imaging and spectroscopy techniques allow detailed and non-invasive characterization of bone marrow in different body regions. Low body weight (BMI<20kg/m²) has been shown to be associated with decreased bone density, while obesity has long been associated with high cortical bone mass - the idea of bone health. It has now been proven that obesity also has a negative effect on bone structure. Here, it is not only BMI that is crucial, but also the localization of fat tissue in the body. Visceral fat has a directly damaging effect on bone microarchitecture through dysregulated production and release of cytokines and adipokines. Thus, it has been shown that both type 1 and type 2 diabetic patients have a decreased rate of bone remodeling and very obese patients with type 2 diabetes have an increased risk of fracture. It must be concluded that body weight, or BMI, cannot be the sole measure for estimating bone health. Thus, type 2 diabetes shows reduced bone remodeling with normal or slightly increased bone density, but inferior stability. This means that type 2 diabetes is associated with an increased risk of osteoporotic fracture, even when bone density measurements are unremarkable. Loss of trabecular bone structure in red (hematopoietic) bone marrow is also characterized by increasing infiltration of the bone marrow space with fat cells (bone marrow adipose tissue). In contrast, the yellow bone marrow, which is mainly present in the diaphysis of tabular bones, has particularly large amounts of fat incorporated into the reticulum cells. For a long time, only the role of "placeholder" was attributed to these fat cells, but it has been shown that they interact with other cells via the production of autocrine, paracrine and endocrine hormones and cytokines, or adipokines, and are thus related to the metabolic state of the entire body. A basic assumption here is that the amount of unsaturated fatty acids in the adipose bone marrow is an important and functional marker for different types of adipocytes. It has been shown that 3 individuals with poorer insulin sensitivity have more unsaturated fatty acids in yellow bone marrow. Thus, the concept of different types of adipocytes in the bone marrow, with their inherent different fatty acid composition could serve to reconcile the at first glance counterintuitive physiological regulation of bone marrow fat and its response to metabolic perturbations. In order to show whether and how the composition of the yellow (unsaturated fatty acids) and red (bone marrow adipose tissue) bone marrow differs in healthy individuals, individuals with impaired insulin sensitivity in different age groups and patients with type 2 diabetes, and whether this can be used to detect early changes in the bone matrix with regard to bone density, the proportion of bone marrow adipose tissue in the red bone marrow at different locations in the skeleton will be quantified by means of chemical-shift-selective MRI sequences as well as the composition of bone marrow fat in the yellow bone marrow with regard to the proportions of monounsaturated and polyunsaturated fatty acids by means of volume-selective MRS. A total of 96 healthy volunteers (48 each male and female) aged 25 to 75 years and with body mass index between 18.5 and 35 kg/m² will be included. In addition, 24 patients (12female/12male) with type 2 diabetes will be recruited. After magnetic resonance examination, anthropometric and metabolic characterization (oral glucose tolerance test) will take place.

Recruiting17 enrollment criteria

Michigan Men's Diabetes Project 2

Diabetes MellitusType 2

The Michigan Men's Diabetes Project 2 (MenD 2) is an 18-month pilot randomized clinical trial. We are looking to recruit 60 Black men with type 2 diabetes (need to have diagnosis for at least 6 months) that are over the age of 21. Interested participants need to be under the care of a physician for their diabetes, have access to reliable transportation for study activities, and be willing to participate in 4 health assessments where they will get their A1C, blood pressure, height, and weight measured and they will complete a survey. All participants will receive 10 hours of diabetes self-management education with a Certified Diabetes Care and Education Specialist. Participants randomized to the intervention arm will also be offered 6 months of monthly diabetes self-management support (DSMS) sessions with trained Peer Leaders who are also Black men with type 2 diabetes. After the 6 months of support, this group will transition into 6 months of ongoing support where they can continue DSMS and/or other diabetes related initiatives that are important to the group and chosen by the group. Due to the COVID-19 pandemic, DSME and DSMS sessions will likely be held via Zoom, ongoing support sessions have potential to be in person. The 4 health assessments will take place at baseline, 3-months, 9-months, and 15-months.

Recruiting2 enrollment criteria
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