View clinical trials related to Diabetes Mellitus, Type 2.
Filter by:AEYE-DS is a software device developed to increase compliance with diabetic retinopathy screening by automatically detecting more-than-mild diabetic retinopathy from digital funduscopic images using AI-based software. This study has been designed to validate the safety and efficacy of the device at primary care and other point of care sites.
The aim of study is impact of additional treatment with new antidiabetic drugs (semaglutide or empagliflozine) compared to control group in T1DM patients - impact on endothelial function measured by FMD and FPF, arterial stiffness - measured by PWV, inflammatory biomarkers, markers of oxidative stress and endothelial progenitor cells (CD 34+/VDRL2, CD 133+/VDRL2) and correlation with glucovariability or time in range, measured with CGM system.
Beside well described peripheral effects, insulin can also affect the human central nervous system. Centrally acting insulin seems to have an influence e.g. on whole-body metabolism and food intake. Targeting insulin receptors in the central nervous system can modulate peripheral insulin sensitivity as well as pancreatic insulin secretion. In humans, the effect of insulin can be measured in different brain areas as estimate of central nervous insulin sensitivity. Reduced central nervous insulin sensitivity, called "central insulin resistance," has been associated, for example, with obesity, unfavorable body fat distribution, and impaired cognitive functionality. Recently novel subtypes and risk clusters of diabetes and prediabetes have been identified. In this study the investigators want to investigate and compare central nervous insulin sensitivity as well as cognitive function in the different diabetes and prediabetes risk clusters.
Women who experience placental complications (syndromes) during pregnancy, such as pre-eclampsia (high blood pressure and kidney problems), gestational hypertension (high blood pressure during pregnancy) and fetal growth restriction (baby being small) have twice the risk of developing heart disease and diabetes later in life, compared to women who have a healthy pregnancy. This study aims to assess risk factors for heart disease and diabetes in women who are actively trying to conceive, before and during their pregnancy, and 9-12 months after delivery of their baby, to see whether placental syndromes make a difference to their heart health. This will allow us to understand, if, and how, placental syndromes increase the risk of heart disease and diabetes, and, therefore, how best to reduce this risk and potentially prevent placental syndromes in the future. The investigators will also recruit women who are NOT planning pregnancy, as a control group.
This study will enroll patients ages 18 and over who have a diagnosis of diabetes, are undergoing an elective surgery under general anesthesia and 1) are taking a GLP-1 receptor agonist medication, or 2) not taking a GLP-1 receptor agonist medication. The patients will have a gastric ultrasound prior to surgery to measure any retained gastric contents. The primary goal is to assess the effect of subcutaneous injectable GLP-1 agonists on preoperative gastric volume in fasted, diabetic surgical patients.
The aim of this study is to evaluate the effectiveness of reorganization in Primary Health Care teams and individualized glycemic targets for type 2 diabetes.
Objective: The objective of this study was to evaluate the prevalence and impact of diabetes mellitus on the severity and mortality of COVID-19. Methods: Data of laboratory-confirmed hospitalized patients at the COVID-19 unit of Ibn El Jazzar University Hospital in Kairouan between September 2020 and August 2021 were analysed, in a cross-sectional study. The population was classified into two groups (COVID-19 patients with versus without diabetes). Primary outcomes were the overall length of hospital stay, the admission to the intensive care unit (ICU), and death.
This explorative clinical investigation has been launched to collect spectral Raman data paired with validated glucose reference values in persons with diabetes.
50 children/adolescents (ages 6 to <18yrs) with T1D in suboptimal control (HbA1c≥8.0%) and lower SES (below 200% poverty line) on insulin therapy (either injections or open-loop pumps) will be recruited at Nemours ~ 1/3 each AA, Hispanic/Latino, non-Hispanic whites. All families that qualify and agree to transition to closed-loop technologies will be recruited to allow data to be gathered before and after use of devices. They will go through the process of approval with the assistance of an insurance navigator in clinic. Those not a CGM will be prescribed one as well. Diabetes care will be 'real life', devices will be prescribed, and care per clinic routine with periodic device downloads. Principal outcome, time-in-range, will be analyzed at 3-months compared to baseline, each participant their own control. Secondary outcomes including HbA1c, other glucose metrics and questionnaires related to use of technology and diabetes distress will be also analyzed. All outcomes will also be collected at 6-months. Results could have important and fast applicability to the field and help better inform decision makers, including payers, clinicians, and patients and families and could serve to decrease health care disparities in this needy population.
The peri-endoscopy management of diabetes mellitus creates significant challenges for both patients and healthcare professionals. These procedures require fasting and in certain situations, such as prior to a colonoscopy, the diet must be modified the day before the intervention and patients need to take a laxative. These factors put patients at high risk for hyperglycemia and hypoglycemia. Inadequate diabetes control or the continuation of certain medications during this period can be dangerous for the patient and lead to the cancellation of the procedure. DIAPI is a web application designed to generate orders for optimal and personalized treatment based on each patient's antidiabetic treatment, their glycemic control, their risk of hypoglycemia, and the intervention-related variables. DIAPI's algorithm is established on current evidence-based data when available, and experts' opinions. Information generated by DIAPI: - For the patient: Clear instructions regarding their diabetes medication management for the days preceding and the day of the endoscopy. - For the health care team: - Clear instructions regarding patient's diabetes medication management for the days preceding and the day of the endoscopy; - Individualized hyperglycemia protocol; - Hypoglycemia protocol; - Guidelines if SGLT2 inhibitors have not been discontinued pre-intervention; - Suggestion on whether an Endocrinology consultation is needed. DIAPI aims to simplify the complex task of peri-intervention diabetes management while ensuring patient safety. It is a cost-effective solution that can lead to a reduction of unnecessary Endocrinology consultations, a decrease in nurses' workload, a lessening of the risk of errors and a diminution of endoscopy cancellation. The validation study is divided into two main phases. - Phase 1 - Concordance. The investigators will assess the reproducibility of DIAPI orders when two different healthcare workers (an endocrinologist and a nurse) collect data for the same patient. The investigators hypothesize that DIAPI orders are concordant in 80%. Patients in this phase will be subjected to the mainstay management, which is using the treating-physician's recommendations instead of DIAPI's. This group will be the control arm for the non-inferiority study (Phase 2). - Phase 2 - Non-inferiority study. The investigators hypothesize that DIAPI's orders are not inferior to the recommendations issued by the treating-physician in terms of efficacy and security. Patients in this phase will be subjected DIAPI's orders. This group will be the intervention arm for the non-inferiority study.