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Active clinical trials for "Diabetes Mellitus, Type 1"

Results 1021-1030 of 2981

Feasibility Study to Evaluate the Hybrid-Logic Closed Loop System in Type 1 Diabetes The DREAMED...

Type 1 Diabetes

Closed loop technology has been shown to reduce both hypoglycemia and hyperglycemia, as well as reduce glycemic variability. Several groups around the world investigate efforts in developing closed-loop systems. Investigators combined two closed-loop systems with different mode of operation in order to enhance the closed-loop system. The two systems are Hybrid closed-loop system and the MD-Logic closed-loop system . The combined algorithm Hybrid logic closed loop (HLCL) was tested 'In silico' and was proved to be safe and effective. The next step is to test the system in a clinical study in a supervised environment in a camp. The two systems were tested separately in several clinical studies and were proven to be safe and effective in a diverse population of patients with type 1 diabetes. The MD-Logic system for overnight use "the GlucoSitter" has a CE mark. The purpose of this study is to collect data on the feasibility of the HLCL system in a camp setting.

Completed24 enrollment criteria

Effect of Canagliflozin in T1DM (Type 1 Diabetes Melitus) After Interruption of Continuous Subcutaneous...

Type 1 Diabetes

This study will be an open-label, cross-over study as subjects will be studied under both study conditions - suspension of subcutaneous insulin infusion via pump during treatment with insulin alone (control) vs. suspension of subcutaneous insulin via pump during treatment with insulin and canagliflozin.

Completed28 enrollment criteria

D-chiro-Inositol in Overweight Type 1 Diabetes Patients

Type 1 Diabetes

The purpose of this pilot study was to evaluate the effect of D-chiro-Inositol (DCI) oral supplementation in addiction to folic acid compared to folic acid alone on glycaemic control as assessed by HbA1c in overweight or obese T1D patients undergoing intensive insulin therapy. A 24 weeks, prospective, randomized control trial was carried out in T1D patients, aged 17-50 years (13 males, 13 females), with disease duration > 1 year and BMI >25, attending as outpatients the Endocrinology and Diabetes Unit of University Campus Bio-Medico in Rome

Completed8 enrollment criteria

Single-dose Study to Evaluate Safety, Tolerability, and Pharmacodynamics of REMD-477 in Subjects...

Type 1 Diabetes MellitusDiabetes

This is a randomized, placebo-controlled, double-blind study to evaluate safety, tolerability and pharmacodynamics of REMD-477 in subjects who have Type 1 diabetes and are currently receiving insulin treatment. This proof of concept study will determine whether glucagon receptor blockade using a single dose REMD-477 can improve short-term glucose homeostasis in people with Type 1 diabetes.

Completed30 enrollment criteria

Safety and Efficacy of CLBS03 in Adolescents With Recent Onset Type 1 Diabetes (The Sanford Project...

Diabetes Mellitus

This clinical trial will explore the safety and effect of autologous ex vivo expanded polyclonal regulatory T-cells on beta cell function in patients, aged 8 to 17, with recent onset T1DM. Other measures of diabetes severity and the autoimmune response underlying T1DM will also be explored. Eligible subjects will receive a single infusion of CLBS03 (high or low dose) or placebo.

Completed25 enrollment criteria

Artificial Pancreas Control System in an Inpatient Setting

Type I Diabetes Mellitus

The purpose of this study is to verify an automated system of blood glucose control in Type I Diabetics. The automated system consists of the investigational Artificial Pancreas Control software (APC), two blood glucose sensors, and two hormone pumps, one for delivering insulin to lower blood sugar, and the second for delivering glucagon to raise blood sugar. The blood glucose sensors relays information to the Artificial Pancreas software, which uses the Adaptive Proportional Device algorithm to determine the rate of insulin and glucagon infusion by the hormone pumps. In prior studies, the Adaptive Proportional Device algorithm has been verified, but required manual input into the computer and hormone pumps. This study differs in that it uses a fully automated system under the control of the Artificial Pancreas Control software. The importance of this change is that it is the next step to enable outpatient use of automated, closed loop blood glucose control.

Completed37 enrollment criteria

New Strategies for Postprandial Glycemic Control Using Insulin Pump Therapy

Type 1 Diabetes

Achieving near-normoglycemia has been established as the main objective for most patients with type 1 diabetes (T1DM). However, insulin dosing is an empirical process and its success is highly dependent on the patients' and physicians' skills, either with multiple daily injections (MDI) or with continuous subcutaneous insulin infusion (CSII, the gold standard of insulin treatment). Postprandial glucose control is one of the most challenging issues in the everyday diabetes care. Indeed, postprandial glucose excursions are the major contributors to plasma glucose (PG) variability of subjects with (T1DM) and the poor reproducibility of postprandial glucose response is burdensome for both patients and healthcare professionals. During the past 10-15 years, there has been an exponentially increasing intrusion of technology into diabetes care with the expectation of making life easier for patients with diabetes. Some tools have been developed to aid patients in the prandial bolus decision-making process, i.e. "bolus advisors", which have been implemented in insulin pumps and more recently in the newest generations of glucometers. Currently, the availability of continuous glucose monitoring (CGM) has opened new scenarios for improving glycemic control and increasing understanding of post-prandial glycemic response in patients with diabetes. Results from clinical studies suggest that sensor-augmented pumps (SAP)may be effective in improving metabolic control, especially when included as part of structured educational programs resulting in patients' empowerment. Similarly, preliminary results from pilot studies indicate that automated glycemic control, especially during nighttime,based on information from CGM is feasible. However, automatic management of meal bolus is currently one of the main challenges found in clinical validations of the few existing prototypes of an artificial pancreas. Indeed, fully closed-loop systems where information about meals size and timing is not given to the system have shown poor performance, with postprandial glucose higher and post meal nadir glucose lower than desired. This has promoted other less-ambitious approaches, where prandial insulin is administered following meal announcement (semi closed-loop). However, despite the use of meal announcement, currently used algorithms for glucose control (the so-called PID and MPC), show results that are not yet satisfactory due to the risk of producing hypoglycemia. One of the limitations of the current open-loop (bolus advisors) and closed-loop control strategies is that glycemic variability is not taken into account. As an example, settings of CSII consider inter-individual variation of the parameters (insulin/carbohydrates ratio, correction dose, etc.) but disregard the day-to-day intra-individual variability of postprandial glucose response. Availability of massive amount of information from CGM, together with mathematic tools, may allow for the characterization of the individual variability and the development of strategies to cope with the uncertainty of the glycemic response to a meal. In this project, a rigorous clinical testing of a CGM-based, user-independent algorithm for prandial insulin administration will be carried out in type 1 diabetic patients treated with insulin CSII. First of all, an individual patient's model characterizing a 5-hour postprandial period will be obtained from a 6-day CGM period. The model will account for a 20% uncertainty in insulin sensitivity and 10% variability in the estimation of the ingested carbohydrates. Based on this model (derived from CGM), a mealtime insulin dose will be calculated (referred as iBolus). Then, the same subjects will undergo standardized meal test studies comparing the administration of a traditional bolus (tBolus, based on insulin to CHO ratio, correction factor, etc.) with the CGM-based prandial insulin delivery (iBolus). Significant advances in postprandial control are expected. Should its efficiency be demonstrated clinically, the method could be incorporated in advanced sensor augmented pumps as well as feedforward action in closed-loop control algorithms for the artificial pancreas, in future work.

Completed20 enrollment criteria

Pharmacokinetics of Biphasic Insulin Aspart 30 and 70 in Subjects With Type 1 Diabetes

DiabetesDiabetes Mellitus1 more

This trial is conducted in Europe. The aim of this trial is to investigate steady state pharmacokinetics of biphasic insulin aspart 30 and biphasic insulin aspart 70 in subjects with type 1 diabetes.

Completed14 enrollment criteria

Cognitive Behavioral Therapy (CBT) for Adherence and Depression in Type 1 Diabetes

DepressionType 1 Diabetes

This study is a pilot behavioral intervention trial, designed to initially examine cognitive behavioral therapy for medical adherence and depression (CBT-AD) in patients with depression and poorly controlled type 1 diabetes.

Completed8 enrollment criteria

A Trial Investigating the Pharmacodynamic Properties of NN5401 in Subjects With Type 1 Diabetes...

DiabetesDiabetes Mellitus1 more

This trial is conducted in Europe. The aim of this trial is to investigate the pharmacodynamic response (the effect of the investigated drug on the body) of insulin degludec/insulin aspart (IDegAsp) at steady state in subjects with type 1 diabetes.

Completed9 enrollment criteria
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