Background: Glycemic variability is an important parameter used to resolve potential clinical
problems in diabetic patients. It is known that glycemic variability generates oxidative stress …

Objective: Glycemic variability contributes to oxidative stress, which has been linked to the
pathogenesis of the long-term complications of diabetes. Currently, the best metric for …

Background: High levels of glycemic variability are still observed in most patients with
diabetes with severe insulin deficiency. Glycemic variability may be an important risk factor …

Background: Glycemic variability is currently under scrutiny as a possible predictor of the
complications of diabetes. The manual process for estimating a now classical measure of …

Background: Glycemic variability is a possible risk factor for development of complications
from diabetes. Numerous methods have been used to characterize glycemic variability …

The dysglycemia of diabetes includes two components:(1) sustained chronic hyperglycemia
that exerts its effects through both excessive protein glycation and activation of oxidative …

Background: The mean amplitude of glycemic excursions (MAGE), traditionally estimated
with a graphical approach, is often used to characterize glycemic variability. Here, we tested …

Background: Glucose variability has been suspected to be a major factor of diabetic
complications. Several indices have been proposed for measuring glucose variability, but …

What is glucose variability (GV) and how can it be efficiently measured? The concept of GV
is very intuitive. GV is how much the glucose signal varies in time and, thus, GV has two …

Aim: The purpose of the present study was to quantify glucose variability in type 2 diabetic
patients and establishing relationship with cardiometabolic parameters and type of glucose …