Diabetes and Prediabetes Classification Using Glycemic Variability Indices From Continuous Glucose Monitoring Data
نویسندگان
چکیده
منابع مشابه
Glycemic Variability Percentage: A Novel Method for Assessing Glycemic Variability from Continuous Glucose Monitor Data
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 for acute and chronic complications. Despite its clinical importance, there is no consensus on the optimum method for characterizing glycemic variability. METHOD We developed a simple new metric, the glycemic vari...
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Glycemic variability has become a major concern over the years as growing evidence is gathered on its detrimental impact on the risk of diabetes complications. Glycated hemoglobin, although ubiquitous in clinical practice, does not adequately summarize short-term glycemic variability. This gap may be addressed through the use of continuous glucose monitoring, which continuously estimates glycem...
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BACKGROUND Glycemic variability is increasingly recognized as an important issue in diabetes management. However, the lack of normative values may limit its applicability in the clinical setting. The objective of this study was to establish preliminary normal reference ranges for glycemic variability by analyzing continuous glucose monitoring (CGM) data obtained from healthy Chinese adults. M...
متن کاملGlycemic variability and glucose complexity in critically ill patients: a retrospective analysis of continuous glucose monitoring data
INTRODUCTION Glycemic variability as a marker of endogenous and exogenous factors, and glucose complexity as a marker of endogenous glucose regulation are independent predictors of mortality in critically ill patients. We evaluated the impact of real time continuous glucose monitoring (CGM) on glycemic variability in critically ill patients on intensive insulin therapy (IIT), and investigated g...
متن کاملCharacterizing blood glucose variability using new metrics with continuous glucose monitoring data.
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 assessing glycemic variability is mean amplitude of glycemic excursion (MAGE); however, MAGE is not in routine clinical use. A glycemic variability metric in routine clinical use could potentially be an important mea...
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ژورنال
عنوان ژورنال: Journal of Diabetes Science and Technology
سال: 2017
ISSN: 1932-2968,1932-2968
DOI: 10.1177/1932296817710478