View clinical trials related to Diabetes Mellitus, Type 2.
Filter by:We aim to study the effect of a structured diabetes education program (DESMOND) on diabetes outcomes in a ghanaian population over 3 months
Assessment of performance (precision and accuracy) of Guardian Sensor™ 3 as compared with a gold standard reference laboratory method (YSI glucose) in diabetes patients on peritoneal dialysis.
This study compares insulin icodec (a new insulin taken once a week) to insulin degludec (an insulin taken once daily which is already available on the market) in people with type 2 diabetes. The study will look at how well insulin icodec taken weekly controls blood sugar compared to insulin degludec taken daily. Participants will either get insulin icodec that participants will have to inject once a week on the same day of the week or insulin degludec that participants will have to inject once a day at the same time every day. Which treatment participants get is decided by chance. The insulin is injected with a needle in a skin fold in the thigh, upper arm or stomach. The study will last for about 8 months. Participants will have 17 clinic visits and 13 phone calls with the study doctor. At 8 clinic visits participants will have blood samples taken. At 4 clinic visits participants cannot eat or drink (except for water) for 8 hours before the visit. Participants will be asked to wear a sensor that measures their blood sugar all the time in 3 periods for a total of 13 weeks (about 3 months) during the study. Women cannot take part if pregnant, breast-feeding or plan to become pregnant during the study period.
AIM: To advance the development and accuracy of the Lifelight® app for the measurement of vital signs, therefore developing a non-invasive and easy-to-perform means of measuring vital signs which can be implemented across a wide range of settings, both within hospitals and out in the community. METHOD: Lifelight® is a computer program ("app") for measuring vital signs which can be used on smart devices that contain a camera. It is able to measure all of the vital signs by measuring very small changes in skin colour that occur each time the heart beats. This means that it does not need to touch the patient. The investigators believe this could be an effective way of measuring vital signs, especially during the COVID-19 pandemic when prevention of cross-contamination between patients is essential. Patients are also likely to be reassured by a contactless approach. The app uses data from looking at a person's face to calculate the vital signs. This is possible because there are tiny changes in facial skin that occur each time the heart beats. The investigators believe Lifelight® could be an effective way of measuring vital signs. The app is still under development, which means that it is still "learning" the best match between the information it collects from the face and the values of vital signs measured using the standard equipment. The app should become more accurate in calculating the vital signs as it sees more and more information from patients. So far, the app has seen data from inpatients, outpatients, patients attending GP surgeries and healthy people. This has improved its accuracy in measuring vital signs. However, the app needs to see more information so that it can be sufficiently accurate for specific clinical applications such as long-term monitoring of hypertension. To do this, it particularly needs to see information from people with abnormal blood pressures and blood oxygen levels. In order to capture the full range of observations, the app will need to be trialled with some of the most critically ill patients - some of these will not have capacity to consent to participation in the study. It also needs to see more data from people with different skin tones so the investigators can be sure it is accurate for all patients. To do this, the investigators will recruit people who are attending one of two hospitals, either as an inpatient, an outpatient, a friend/relative of a patient, or a member of hospital staff. The exact number will depend on how quickly the app "learns" and how many of the vital signs are outside of the normal range. The investigators will take the participant's vital signs using standard clinical equipment whilst recording a video of their face. The investigators will use most of these measurements and video to teach the app how to become more accurate at measuring vital signs. The investigators will keep the remaining data separate and use it to test how accurate the app is. All of the data will be kept securely. The investigators will also collect feedback from participants and healthcare staff on their experiences using the app and information that allows us to assess whether there are any savings to the healthcare economy through use of this technology.
Macrophage-driven immune dysregulation has been shown to be involved in pathophysiology of diabetic gastroparesis. Currently, there are no non-invasive ways to study macrophage activation in humans. The researchers are trying to determine the utility of 11C-ER176 based PET-CT scanning to determine pro-inflammatory macrophage activation in gastric wall of patients with diabetic gastroparesis.
This study compares insulin icodec to different daily insulins in people with type 2 diabetes. The study will look at how well insulin icodec taken once weekly controls blood sugar compared to the insulins taken once daily. Participants will either get insulin icodec, that participants will have to inject once a week on the same day of the week, or a marketed insulin, that participants will have to inject once a day. Which treatment participants get is decided at random. The insulin is injected with a needle in a skin fold in the thigh, upper arm or stomach. Participants will measure their blood sugar every day. Participants will get a study phone to record safety data in the electronic diary (eDiary). If participants get a daily insulin they will record their insulin doses in the eDiary. If Participants get weekly insulin icodec, participants study phone will also have the DoseGuide App. The DoseGuide App gives dose recommendations based on their blood sugar and previous doses. Participants will record their insulin doses in the DoseGuide App. The study will last for about 1 year and 2 months. Participants will have 8 planned clinic visits with the study doctor. More visits will be planned to meet individual needs. At 6 clinic visits participants will have blood samples taken. Women cannot take part if pregnant, breast-feeding or plan to become pregnant during the study period.
The investigators propose to develop a training for male peer leaders facilitating diabetes self-management education and support (DSMES) to specifically encourage conversations regarding beliefs that affect men's health and to allow modeling of alternative views and perspectives that allow for successful disease management to be framed as competence and strength. Given that the life expectancy for Black men in the US is 71, the investigators hypothesize that targeting men in earlier stages of type 2 diabetes (T2D) will assist greatly in facilitating healthy aging and improving diabetes-related health outcomes later in life. Based on the investigators previous work, the long-term goal of our research is to determine the most effective, practical, and sustainable approach to provide DSMES to older Black men. The objective is to examine the relative effectiveness, feasibility, and acceptability of a peer-leader DSMES intervention for Black men with T2D. To accomplish this, the investigators will engage in a developmental phase and a validation phase [pilot randomized control trial (RCT)]. The RCT will be conducted with 60 Black adult male residents of metro Detroit, Michigan. Participants will be randomized to a control group or the tailored peer-leader diabetes self-management support group (PLDSMS). All participants will receive DSME with a certified diabetes care and education specialists. Only participants randomized to the PLDSMS group will also receive an additional 6 weeks of DSMS led by the peer leaders. The investigators hypothesize that 1) participants in the PLDSMS group will have improved outcomes (A1c, blood pressure, weight, diabetes distress, self-management behaviors, etc.) over the control group, and 2) an evaluation of measures will confirm efficacy of the PLDSMS.
Background: Physical activity is known to modify some of the diabetes risk factors; however, solid evidence is still needed to precisely know the optimum form of training best fits the individual needs of type II diabetic (T2D) patients.
This study planned to investigate the role of potential explanatory factors effecting the speed of gait such as muscle mass, aerobic capacity, physical activity status, cognitive function, blood pressure, and metabolic measures considering age, sex, and education years in diabetic individuals without neuropathy.
The purpose of this research is to determine if CGM (continuous glucose monitors) used in the hospital in patients with COVID-19 and diabetes treated with insulin will be as accurate as point of care (POC) glucose monitors. Also if found to be accurate, CGM reading data will be used together with POC glucometers to dose insulin therapy.