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https://www.selleckchem.com/products/sm-164.html urrence of hypoglycemia. Estimating glycemic variability (GV) through within-day coefficient of variation (%CV ) is recommended for patients with type 1 Diabetes (T1D). High GV (hGV) is defined as %CV > 36%. However, continuous glucose monitoring (CGM) devices provide exclusively total CV (%CV ). We aimed to assess consequences of this disparity. We retrospectively calculated both %CV and %CV of consecutive T1D patients from their CGM raw data during 14 days. Patients with hGV with %CV >36% and %CV ≤36% were called the "inconsistent GV group". A total of 104 patients were included. Mean ± SD %CV and %CV were 42.4 ± 8% and 37.0 ± 7.4% respectively ( < 0.0001). Using %CV , 81 patients (73.6%) were classified as having hGV, whereas 59 (53.6%) using %CV ( < 0.0001) corresponding to 22 patients (21%) in the inconsistent GV population. Evaluation of GV through %CV in patients with T1D is highly dependent on the calculation method and then must be standardized. Evaluation of GV through %CV in patients with T1D is highly dependent on the calculation method and then must be standardized. We previously reported a high (30%) but stable prevalence of diabetic ketoacidosis (DKA) at youth-onset diagnosis of type 1 diabetes (2002 and 2010). Given the changing demographics of youth-onset type 1 diabetes, we sought to evaluate temporal trends in the prevalence of DKA at diagnosis of type 1 diabetes from 2010 to 2016 among youth <20 years of age and evaluate whether any change observed was associated with changes in sociodemographic distribution of those recently diagnosed. We calculated prevalence of DKA within 1 month of type 1 diabetes diagnosis by year and evaluated trends over time (2010-2016) ( = 7,612 incident diabetes cases; mean [SD] age 10.1 [4.5] at diagnosis). To assess whether trends observed were attributable to the changing distribution of sociodemographic factors among youth with incident type 1 diabetes, we estimated a

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