Clinical Research Directory

Efficacy and Tolerability of a Specialized Food Products for Dietary Therapeutic and Preventive Nutrition Based on Ice Cream (Ice Cream With Brazzein, Maltitol and Oligofructose; Ice Cream With Brazzein, Erythritol, Maltitol and Inulin) Compared to Standard (Sundae) Ice Cream

This is a double-blind, randomized, comparative controlled cross-over study of efficacy and tolerability of 2 specialized food products based on ice cream compared to the standard (sundae) ice cream for patients with non-alcoholic fatty liver disease with or without type 2 diabetes mellitus. On 3 consecutive days eligible subjects will receive a portion of specialized food products with breakfast (ice cream with brazzein, maltitol and oligofructose; ice cream with brazzein, erythritol, maltitol and inulin; standard ice cream (sundae)) followed by the standard ration. Tolerability will be assessed based on specialized scales and formal questioning. Glucose monitoring will be performed with the use of prolonged blood glucose monitoring system (FreeStyle Libre 2, Abbott Diabetes Care, USA)

Therapeutic Efficacy and Safety Evaluation of AI in the Management of Diabetes: A RCT Trial

Purpose: To evaluate the efficacy of artificial intelligence (AI)-based decision-making technology in managing glycated hemoglobin (HbA1c) and blood glucose levels compared to the control group. Methods: For the AI Intervention group, the patients will be trained to independently use the diabetes telemedicine platform application. Each patient will be equipped with a glucometer and exercise bracelet, and the data will be automatically transmitted to the medical server via Bluetooth. The healthcare platform will analyze the uploaded data and provide feedback suggestions on medication, diet, and exercise automatically. The platform will also monitor the medical and lifestyle data of the patients every two weeks, offer feedback based on the analyses, and remind the patient to adhere to the self-management protocol based on the platform. The platform is a digitally integrated healthcare platform that patients can use independently without the need for monitoring and assistance by healthcare professionals. The glucometer and pedometer bracelet will automatically connect to the platform through Bluetooth. The patient lab sheet identification and structured conversion system, AI for food picture identification and calorie calculation systems, and the AI decision-making system are on the cloud server. Patients upload image information, such as lab sheets and meal pictures, through the patient's diabetes mobile health system, and the cloud platform intelligently analyzes the patient's disease, medication, and daily life status to develop personalized solutions according to individual control goals. Free outpatient visits will be provided to both the intervention and control groups every twelve weeks. For the conventional treatment group, patients will receive a free blood glucometer and will have regular outpatient appointments. There is no limit to the number of outpatient visits; however, they are required to regularly monitor and record their blood glucose, diet, and exercise data to ensure that the medical team objectively conduct their diagnosis and treatment activities. The medical team will provide free outpatient visits every 12 weeks, along with advice on medication, diet, and exercise based on the individual's blood glucose level. Expected results: A significant difference in HbA1c change from baseline to 48 weeks and improved FPG and 2-hour postprandial blood glucose levels in the AI intervention group were observed.

Increasing CGM Use Among Patients With T2D

Study Overview: This interventional study aims to assess whether training healthcare professionals (HCPs) increases the number of continuous glucose monitor (CGM) prescriptions for patients with Type 2 Diabetes in a Federally Qualified Health Center serving a predominantly Hispanic/Latino population. Research Questions: Does HCP training enhance CGM prescription rates in a primary care setting? Does receiving a CGM prescription lead to improved Type 2 Diabetes control, as measured by Hemoglobin A1c levels? What barriers do patients face when prescribed and using CGMs? Given the significant impact of CGMs on diabetes management, this project seeks to improve CGM utilization among eligible patients through a focused intervention for HCPs and evaluate diabetes outcomes for those who do and do not receive a CGM. Methodology: HCPs and staff from three clinics within the same healthcare system will undergo a brief, in-person training on current clinical guidelines and insurance eligibility for CGMs. A booster session will follow about one month later to reinforce learning and address any prescribing challenges. Training efficacy will be evaluated by comparing CGM prescription rates before and after training using electronic health records. HCPs will complete pre- and post-training surveys to assess changes in knowledge, beliefs, and prescribing practices related to CGMs. Additionally, a small subset of prescribers will participate in interviews about their experiences with CGM prescriptions four months post-training. Patient Recruitment and Surveys: Patients with Type 2 Diabetes will be recruited for surveys at baseline, and at 3 and 6 months. These surveys will gather information on their diabetes management experience, levels of diabetes distress, and whether CGM discussions occurred with their primary care provider. Participants who received CGM prescriptions will share their experiences and any barriers encountered. A subset will also be invited for interviews to further explore their CGM experiences. Conclusion: This study seeks to fill a crucial gap in understanding how HCP training influences CGM prescription rates and the associated diabetes management outcomes, ultimately aiming to enhance diabetes care for a vulnerable population.

Relationship Between Hemodynamic Changes and Cardiopulmonary Fitness in Type 2 Diabetes Mellitus Patients

Diabetes mellitus being metabolic disorder, chronic in nature, is characterized by high levels of glucose in our blood, which often lead to organ dysfunction. Approximately 10.5 % of adult (20-79 years) have diabetes according to international Diabetes federation. Cardiorespiratory fitness (CRF) is the capability of our cardiopulmonary system to make oxygen available to our skeletal muscles during physical activities for prolonged time, and is known to be decreased with diabetes. Hemodynamic parameters are correlated with various cardiovascular disorders but little evidence of hemodynamic changes in diabetes patients is present and more studies must be done. This study aims to establish the link between hemodynamic changes and cardiopulmonary fitness in T2DM patients, which could inform clinical practices and interventions to improve management, reduce cardiovascular risks, and enhance the quality of life for these patients.