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首页> 外文期刊>Diabetes technology & therapeutics >The 'glucose pentagon': assessing glycemic control of patients with diabetes mellitus by a model integrating different parameters from glucose profiles.
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The 'glucose pentagon': assessing glycemic control of patients with diabetes mellitus by a model integrating different parameters from glucose profiles.

机译:“葡萄糖五边形”:通过整合来自葡萄糖谱的不同参数的模型评估糖尿病患者的血糖控制。

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摘要

Measuring the hemoglobin A(1c) (HbA(1c)) is the standard-of-care method to assess long-term glycemic control of patients with diabetes, describing the average glycemic level. However, the HbA(1c) does not reflect acute fluctuations in glucose levels. Variability of glycemia probably has an impact on the development of diabetes-related late complications. A novel model presented in this article combines different summary measures derived from continuously recorded glucose profiles (including parameters describing glycemic variability) and the HbA(1c). The five parameters taking into account are the axes of a "glucose pentagon." Connecting the values of these parameters provided an enclosed area of a given size. For a patient with diabetes, these parameters and the connected area describe how his or her glycemia was during the monitoring period. The area of the glucose pentagon for a patient with diabetes, divided by the standard area of healthy subjects, yields a non-dimensional characteristic value defined as the glycemic risk parameter. It is assume that this risk parameter provides a more meaningful overall description of metabolic control than the HbA(1c) alone. In addition, it might also allow a better assessment of a patient's risk for developing diabetes-related late complications in comparison to the HbA(1c) alone. Of critical importance is, of course, that the clinical relevance of the glucose pentagon is verified in adequate long-term clinical studies.
机译:测量血红蛋白A(1c)(HbA(1c))是评估糖尿病患者长期血糖控制,描述平均血糖水平的护理标准方法。但是,HbA(1c)不能反映出葡萄糖水平的剧烈波动。血糖的变化可能会影响与糖尿病相关的晚期并发症的发生。本文介绍的新型模型结合了从连续记录的葡萄糖曲线(包括描述血糖变异性的参数)和HbA(1c)得出的不同总结指标。考虑的五个参数是“葡萄糖五边形”的轴。连接这些参数的值提供了给定大小的封闭区域。对于糖尿病患者,这些参数和相关区域描述了他或她在监测期间的血糖水平。糖尿病患者的葡萄糖五边形面积除以健康受试者的标准面积,得出的无量纲特征值定义为血糖风险参数。假定该风险参数比单独的HbA(1c)提供了更有意义的代谢控制总体描述。此外,与单独使用HbA(1c)相比,它还可以更好地评估患者发生糖尿病相关晚期并发症的风险。当然,至关重要的是要在足够的长期临床研究中证实葡萄糖五边形的临床相关性。

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