Literature DB >> 21527118

GlyCulator: a glycemic variability calculation tool for continuous glucose monitoring data.

Dorota Czerwoniuk1, Wojciech Fendler, Lukasz Walenciak, Wojciech Mlynarski.   

Abstract

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 glycemia based on interstitial fluid glucose concentration. As the amount of collected data is substantial, variability of the glycemic pattern can be analyzed in context of its direction, periodicity, and amplitude. As freely available variability calculation tools are limited in number and complexity, the authors have devised a simple-to-use Web-based application, "GlyCulator," allowing for rapid computation of glucose variability parameters from continuous glucose monitoring data.
© 2011 Diabetes Technology Society.

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Year:  2011        PMID: 21527118      PMCID: PMC3125941          DOI: 10.1177/193229681100500236

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  24 in total

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  24 in total

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Review 2.  Utility of different glycemic control metrics for optimizing management of diabetes.

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4.  Correlation Between Third Trimester Glycemic Variability in Non-Insulin-Dependent Gestational Diabetes Mellitus and Adverse Pregnancy and Fetal Outcomes.

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6.  Greater diet quality is associated with more optimal glycemic control in a longitudinal study of youth with type 1 diabetes.

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7.  Disordered Eating Behaviors Are Not Increased by an Intervention to Improve Diet Quality but Are Associated With Poorer Glycemic Control Among Youth With Type 1 Diabetes.

Authors:  Miriam H Eisenberg Colman; Virginia M Quick; Leah M Lipsky; Katherine W Dempster; Aiyi Liu; Lori M B Laffel; Sanjeev N Mehta; Tonja R Nansel
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8.  Updated Software for Automated Assessment of Glucose Variability and Quality of Glycemic Control in Diabetes.

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9.  Relationship of Glucose Variability With Glycated Hemoglobin and Daily Mean Glucose: A Post Hoc Analysis of Data From 5 Phase 3 Studies.

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10.  Small changes in glucose variability induced by low and high glycemic index diets are not associated with changes in β-cell function in adults with pre-diabetes.

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