View clinical trials related to Pre-diabetes.
Filter by:Early diabetic kidney disease (DKD) occurs in 50-70% of youth with type 2 diabetes (T2D) and confers high lifetime risk of dialysis and premature death. Youth-onset T2D typically manifests during or shortly after puberty in adolescents with obesity. Epidemiological data implicate puberty as an accelerator of kidney disease in youth with obesity and diabetes and the investigators posit that the link between puberty and T2D-onset may explain the high burden of DKD in youth-onset T2D. A better understanding of the impact of puberty on kidney health is needed to promote preservation of native kidney function, especially in youth with T2D.
The microbiota is associated with a wide spectrum of diseases including diabetes and non-alcoholic fatty liver disease. In this study we will investigate if the bacteria F. prausnitzii, which is a part of the human gut microbiota, can improve metabolic parameters in subjects with impaired glucose control.
This study is a prospective cross-sectional study. The investigators enroll participants form the department of endocrinology and of metabolism, China Medical University Hospital. In total, 400 participants , composed of 100 of type 2 diabetes , 100 of pre-DM and 200 healthy participants. The investigators apply tongue diagnosis system, pulse wave analysis, body constitution questionnaires, and nailfold capillaroscopy to assess the differences of TCM diagnosis. After collecting the tongue coating and analyzing the metabolite signals with a flying mass spectrometer, The investigators collect the data to establish metabolite pattern and biomarkers. This study aims to identify the clinical symptoms of DM with TCM diagnostic tools and investigate the pattern difference and treatment for DM. Furtherly, the investigators add mass spectrometer to analyze the metabolites of tongue coating, the investigators propose to establish a metabolite pattern and biomarker to identify important biological indicators of DM.
This study seeks to address two questions. Firstly, how might a suite of interventions and data feedback (activity, diet, mood*, continuous blood glucose) through coaching be effective in influencing behaviour change for individuals at-risk of developing type 2 diabetes? Secondly, what elements of coaching might be extracted for automated implementation in a scalable coach-light model?
Our goal is to test whether shared decision making for diabetes prevention can help women with a history of gestational diabetes mellitus (GDM) who are at high risk of developing type 2 diabetes (T2DM) increase weight loss and adoption of evidence based strategies to lower their risk of incident diabetes.
Type 2 diabetes (T2DM) is a serious chronic condition and one of the world's fastest growing health problems. The onset of T2DM is gradual, with most individuals progressing through a state of pre-diabetes, which provides an important window of opportunity for the prevention of T2DM and its complications. This project aims to translate the evidence-based diabetes prevention strategies into community setting and utilize mobile health technology to reduce diabetes risks in Hong Kong.
The purpose of the study is to determine the efficacy of semaglutide 1mg (Ozempic®) to aid recently postpartum women with dysglycemia and a history of GDM to regress to normoglycemia; thereby filling a gap in efficacious pharmacologic intervention options for clinicians to support postpartum diabetes recovery and reduce future risk of T2DM in young women.
There are an estimate 7 million people in the United Kingdom living with pre-diabetes. The increasing number of new cases of pre-diabetes presents a global health concern due to funding implications. The progression from pre-diabetes to overt type 2 diabetes is often characterised by a reduction in insulin secretion (or β-cell dysfunction). Whilst inflammation may contribute to β-cell dysfunction, a complete picture is still lacking. The proposed research will help develop a more complete understanding of the molecules that may trigger β-cell failure, a process that often connects pre-diabetes to overt diabetes. The aims of this project are; 1. Run large-scale proteomics and metabolomics analysis in pre-diabetic individuals to determine possible biomarker molecules. 2. Use measures and / or classifications of insulin resistance and diabetes (i.e. β-cell function and Disposition Index) to establish whether particular metabolic and / or proteomic signatures (aim 1) are associated with the development of pre-diabetes. 3. To determine if the possible metabolite or protein profile changes are associated with the progression or regression of pre-diabetes from baseline (0 month) to the end of the National Diabetes Prevention Programme (NDPP) (9 month).
This study aims to understand the effects of automated physician directed messaging on patient engagement in the digital diabetes prevention program (dDPP). The messages are tailored to patient engagement levels based on established engagement thresholds, which are based on the patient's use of the dDPP application. The system is designed to minimize work for providers by sending automated targeted messages to patients to potentially increase engagement, prevent onset of diabetes and improve clinical outcomes. The patients in the study are automatically nudged using a combination of text messaging and MyChart messaging.
The patient outcome in cardiac surgery is substantially linked to the occurrence of hyperglycemia. Qatar ranks 5th in the rate of diabetes globally; Moreover diabetics comprise more than 40% of patients admitted to the cardiac surgery intensive care unit (CTICU) in Qatar heart hospital. This prevalence is higher than the rest of the world. These numbers are projected to increase with accompanied morbidity-mortality hazardous by 2030 if the adequate intervention will not be directed towards better control of blood sugar within ICU and the hospital stay. The overall objective of this project is to explore the immunological profile in patients with poor glycemic control within their intensive care unit stay in Qatar. 'time in range' (TIR) was used for defining glycemic control within the ICU, where patients with time in range more than 80%, (in presence or absence of debates), had better outcomes than those with time in range less than 80% TIR. Notably, regarding wound infection, lengths of ventilation and ICU stay; they were not candidates to recurrent hypoglycemic episodes also. The high HbA1C preoperatively is probably a valid forecaster of indigent glycemic control. Previous studies demonstrated conversion of non-diabetics to diabetics when they face stress of critical illness. No previous studies explored this possible conversion cardiac surgery. Our primary objectives will be to determine whether non-diabetic patients with poor glycemic control in cardiac surgery would develop subsequent diabetes later on. Investigators will follow up non-diabetics patients after 3 months to satisfy this aim. Investigators will include all patients who will undergo cardiac surgery over two years from the time of approval without evidence of diabetes as documented by glycated hemoglobin (HbA1C). Patients will be followed up to one year with laboratory investigations to document whether they will develop diabetes or not. Data will be stored and statistically analyzed. Investigators expect to have details about the possible conversion in this high-risk population.