Is Glycemic variability important to assessing antidiabetes therapies?

被引:10
作者
Kovatchev B.P. [1 ]
机构
[1] University of Virginia Health System, Charlottesville, VA 22908
基金
美国国家卫生研究院;
关键词
Hypoglycemia; Exenatide; Continuous Glucose Monitoring; Glycemic Variability; Pramlintide;
D O I
10.1007/s11892-006-0005-z
中图分类号
学科分类号
摘要
Traditionally, statistical estimation of glycemic variability includes computing standard deviation of glucose readings or related statistics (eg, M value, mean amplitude of glucose excursions, and so forth). We advocate an alternative approach using risk measures of variability, which have substantial clinical and numerical advantages. In addition, continuous glucose monitoring (CGM) data have clinically important inherent temporal structure that should be taken into consideration. Thus, temporal variability methods are discussed for the analysis and interpretation of CGM output. Copyright © 2006 by Current Science Inc.
引用
收藏
页码:350 / 356
页数:6
相关论文
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