View clinical trials related to Glucose Variability.
Filter by:The purpose of this study is to determine whether continuous glucose monitoring will improve glucose variability as measured by the coefficient of variation of glucose levels in very young children with T1D. The study adopts an open-label, multi-centre, multinational, prospective registry-based population cohort design contrasting CGM use to SMBG alone in young children with type 1 diabetes over 12 months. The primary endpoint is the difference between treatment modalities (CGM vs SMBG alone) in glycaemic variability, measured as the coefficient of variation of glucose levels, during the 12 months observational period. Other Key edpoints include time in range 70-180 mg/dl, time below range 70 mg/dl and time above range 180 mg/dl.
To assess the effect of glucose monitors on glucose control and cardiovascular risks.
A retrospective data review of 243 pregnant women (≤32 wks gestational age), dtat collected prior to 5/18/2014, with GDM, or T2DM, and their infants (until discharge from the hospital, typically up to 1 week after deliver) will be conducted. These women are of any age and all ethnic backgrounds delivering at St. Mary's Health Center.
In a previous study we used the FreeStyle Navigator Continuous Glucose Monitoring (CGM) System to obtain 30 days of glucose measurements from 30 people with diabetes treated with insulin. The purpose of this study is to characterize glycemia (glucose) control in 30 people without diabetes and to compare these data to the 30 people with diabetes from a previous study. Through this approach it may be possible to develop a means of establishing a model of normal glucose patterns and a basis of comparison with glucose patterns in people with diabetes.
The purpose of this study is to obtain sufficient continuous glucose monitoring (CGM) data in a manner that provides clinical information that is not available using conventional self-monitored blood glucose. Currently, a formal method does not exist for evaluating CGM data except for looking at each glucose reading across the days a CGM system has been worn and evaluating it based on clinical practice experience. The hope is that a mathematical model can be developed that will enable health care providers to quickly and easily determine what changes in diabetes treatment need to be made after CGM data is obtained.