Objective: To report the impact of continuous glucose monitoring (CGM) on glycemic variability (GV) indices, factors predictive of change and to correlate variability with conventional markers of glycaemia. Methods: Data from the JDRF study of CGM in participants with type 1 diabetes were used. Participants were randomised to CGM or self-monitored blood glucose (SMBG). GV indices at baseline, at 26 weeks in both groups, and at 52 weeks in the control group were analysed. The associations of demographic and clinical factors with change in GV indices from baseline to 26 weeks were evaluated. Results: Baseline data were available for 448 subjects. GV indices were all outside normative ranges (P<0.001). Inter-correlation between GV indices was ...
Aims: While there has been much debate about the clinical importance of glycemic variation (GV), lit...
Aims/Hypothesis Our aim was to quantify the impact of Blood Glucose Monitoring Strips variability (B...
OBJECTIVE: The Diabetes Control and Complications Trial identified an inverse relationship between H...
Glucose variability has recently been investigated in diabetic patients in several studies, but most...
Glucose variability has recently been investigated in diabetic patients in several studies, but most...
Objective: In type 1 diabetes mellitus (T1DM) management, continuous glucose monitoring (CGM)-derive...
International audienceTo evaluate the respective contributions of short-term glycemic variability an...
Background: Variations in blood glucose levels over a given time interval is termed as glycemic vari...
Introduction: Currently measures of glycaemic variability (Standard Deviation, Mean and MAGE) all fa...
Objective: The primary aim of this study was to quantify the prevalence of children and adolescents ...
Introduction: Both hypoglycemia (low blood glucose) and hyperglycemia (high blood glucose) are commo...
BACKGROUND: The I-HART CGM study has shown that real-time continuous glucose monitoring (rtCGM) has ...
Objectives: Despite the widespread diffusion of continuous glucose monitoring (CGM) systems, which i...
OBJECTIVE: The A1C-Derived Average Glucose (ADAG) study demonstrated a linear relationship between H...
Authors and colleagues have continued clinical diabetic research in the light of Continuous Glucose ...
Aims: While there has been much debate about the clinical importance of glycemic variation (GV), lit...
Aims/Hypothesis Our aim was to quantify the impact of Blood Glucose Monitoring Strips variability (B...
OBJECTIVE: The Diabetes Control and Complications Trial identified an inverse relationship between H...
Glucose variability has recently been investigated in diabetic patients in several studies, but most...
Glucose variability has recently been investigated in diabetic patients in several studies, but most...
Objective: In type 1 diabetes mellitus (T1DM) management, continuous glucose monitoring (CGM)-derive...
International audienceTo evaluate the respective contributions of short-term glycemic variability an...
Background: Variations in blood glucose levels over a given time interval is termed as glycemic vari...
Introduction: Currently measures of glycaemic variability (Standard Deviation, Mean and MAGE) all fa...
Objective: The primary aim of this study was to quantify the prevalence of children and adolescents ...
Introduction: Both hypoglycemia (low blood glucose) and hyperglycemia (high blood glucose) are commo...
BACKGROUND: The I-HART CGM study has shown that real-time continuous glucose monitoring (rtCGM) has ...
Objectives: Despite the widespread diffusion of continuous glucose monitoring (CGM) systems, which i...
OBJECTIVE: The A1C-Derived Average Glucose (ADAG) study demonstrated a linear relationship between H...
Authors and colleagues have continued clinical diabetic research in the light of Continuous Glucose ...
Aims: While there has been much debate about the clinical importance of glycemic variation (GV), lit...
Aims/Hypothesis Our aim was to quantify the impact of Blood Glucose Monitoring Strips variability (B...
OBJECTIVE: The Diabetes Control and Complications Trial identified an inverse relationship between H...