search

Active clinical trials for "Diabetes Mellitus"

Results 1481-1490 of 9947

To Identify Urinary Biomarkers Associated With Gestational Diabetes Mellitus [GDM]

Gestational Diabetes

Gestational diabetes mellitus(GDM) is one of the most common complications of pregnancy. The incidence of GDM is higher in Asian than in other regions, and GDM can increase the risk of a series of perinatal complications. The investigators has been committed to the early diagnosis of GDM, and several biomarkers in the first trimester and urinary proteomic markers that were associated with GDM have been found. Based on the previous work, the aim of this study was to verify the predictive ability of urinary proteomic markers for GDM that has been found in the previous study of the researchers. This study is a multi-center, prospective, and observational study. Urine samples will be collected twice, at 12 weeks and 24-28 weeks of gestation, respectively.

Recruiting10 enrollment criteria

Establish Diagnostic Models Based on Olfactory Function and Odor-induced Brain Activation for Diabetes-Related...

Type 2 Diabetes MellitusCognitive Impairment

This is a cross-sectional and longitudinal study to establish diagnostic models based on olfactory function assessments and odor-induced brain activation for cognitive impairment in patients with type 2 diabetes mellitus.

Recruiting14 enrollment criteria

Postural Control, Ankle and Trunk Proprioception in Type 2 Diabetes

Type2diabetes

The investigators aim to assess the postural control, ankle, and trunk proprioception, plantar sensation, and general cognitive status in patients with Type 2 diabetes.

Recruiting9 enrollment criteria

Green Digital Diabetes Waste Project

Diabetes MellitusDiabetes Mellitus3 more

The purpose of this study is to determine how people with diabetes are disposing of various products and devices and at what rates so that better devices with less waste can be designed in the future.

Recruiting15 enrollment criteria

Prevalence of MAFLD in Patients With Type 2 Diabetes in Jiangsu Province of China

Type 2 Diabetes Mellitus in RemissionMetabolic Associated Fatty Liver Disease

In 2019, the number of patients with diabetes was about 463 million in the world, accounting for 8.3% of the total population, and it is expected to rise to 578 million (9.2%) by 2030 and 700 million (9.6%) by 2045. According to the WHO diagnostic criteria, the prevalence of diabetes among adults in China from 2015 to 2017 was 11.2%, of which over 90% were type 2 diabetes mellitus (T2DM). The global prevalence of non-alcoholic fatty liver disease (NAFLD) is also very high, which was approximately 25% in 2016. The prevalence of NAFLD may continue to rise. NAFLD is often accompanied by clinical manifestations of metabolic syndrome, such as obesity, T2DM, hyperlipidemia and hypertension.

Recruiting5 enrollment criteria

Prevalence of Post Traumatic Stress Disorder Related to Diabetes Diagnosis or Severe Hypoglycaemia...

Type 1 Diabetes

In France, the adult population living with diabetes in 2016 is estimated at more than 3.3 million patients treated. Type 1 diabetes (T1DM) represents 5.6% of diabetic patients (approximately 185,000 patients). Numerous studies show that patients fear hypoglycemia, with an impact on their quality of life, sleep disorders and depressive symptoms. In addition, there is a metabolic impact with a problem of therapeutic compliance and an alteration of glycemic control. This study examine the relation between Post Traumatic Stress disorder (PTSD) and diabetes diagnosis or severe hypoglycaemia in adults with Type 1 Diabetes. The aim of this study is to evaluate the prevalence of PTSD in this population.

Recruiting10 enrollment criteria

Effects of Optimizing Nocturnal Glycemic Control on Sleep Parameters in Type 1 Diabetes

Type 1 Diabetes

Sleep is crucial for physical and mental health. Environmental, social, or professional pressures can cause sleep duration to fall below the recommended 7-9 hours of sleep per night. Young adults with type 1 diabetes, have additional interference with fear, control and management of hypo/hyperglycemia management, alarms from their devices, which delay bedtime, disrupt sleep and generate multiple awakenings and difficulty returning to sleep. Sleep disturbance is correlated with blood glucose variability as recently demonstrated by a coupled analysis of sleep and glucose level collected by Continuous Glucose Monitoring (CGM). In this study, higher glucose variability predicted impaired sleep at the individual level. Automated insulin infusion has shown impressive results in clinical and real-life studies, with more than 90% of patients achieving good glycemic control. Il seems to improve sleep quality in subjects after 4 weeks in hybrid closed-loop, self-administered studies compared to a control group. The main objective of our study is to measure the positive influence of a better glycemic control on the different sleep parameters in subjects with type 1 diabetes at the time of the passage in hybrid closed-loop and in comparison to an identical period in open-loop.

Recruiting15 enrollment criteria

the Efficacy of Fetal Arterial and Venous Doppler Indices in Predicting Perinatal Outcome

Gestational DiabetesPre-Gestational Diabetes3 more

To determine and evaluate the diagnostic performance of Doppler sonography of umbilical artery (UA), fetal middle cereberal artery (MCA), ductus venosus (VD) and umbilical vein (UV) for prediction of adverse perinatal outcome among diabetic pregnant women.

Recruiting7 enrollment criteria

Cohort of Mexican Children With Diabetes Mellitus (CMC-DM)

Diabetes Mellitus

The aim of this study is the identification of complications in diabetes mellitus pediatric patients and to compare the clinical, anthropometric, and biochemical characteristics between children in the different types of diabetes mellitus.

Recruiting2 enrollment criteria

Prospective Study on Diabetes Mellitus and Its Complications in Newly Diagnosed Adult Patients

Diabetes MellitusType 12 more

The aim of the prospective observational GDC-Study in patients with newly diagnosed diabetes mellitus aged 18-69 years at inclusion into the study is to characterize in detail the clinical, metabolical and immunological phenotype and monitor the progression of the disease and to compare the phenotype to glucose tolerant humans of similar age, body mass and sex distribution.

Recruiting10 enrollment criteria
1...148149150...995

Need Help? Contact our team!


We'll reach out to this number within 24 hrs