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

The "glucose pentagon": assessing glycemic control of patients with diabetes mellitus by a model integrating different parameters from glucose profiles.

作者信息

Thomas Andreas, Schönauer Martin, Achermann Frank, Schnell Oliver, Hanefeld Markolf, Ziegelasch Hans-Jürgen, Mastrototaro John, Heinemann Lutz

机构信息

Medtronic GmbH, Meerbusch, Germany.

出版信息

Diabetes Technol Ther. 2009 Jun;11(6):399-409. doi: 10.1089/dia.2008.0119.

DOI:10.1089/dia.2008.0119
PMID:19459770
Abstract

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.

摘要

测量糖化血红蛋白A1c(HbA1c)是评估糖尿病患者长期血糖控制情况的标准护理方法,它描述了平均血糖水平。然而,HbA1c并不能反映血糖水平的急性波动。血糖变异性可能会对糖尿病相关晚期并发症的发生产生影响。本文提出的一种新模型结合了从连续记录的血糖曲线中得出的不同汇总指标(包括描述血糖变异性的参数)以及HbA1c。所考虑的五个参数是一个“葡萄糖五边形”的轴。连接这些参数的值可得到一个给定大小的封闭区域。对于糖尿病患者,这些参数以及连接区域描述了其在监测期间的血糖情况。将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,可得出一个无量纲特征值,定义为血糖风险参数。假定该风险参数比单独的HbA1c能提供更有意义的代谢控制总体描述。此外,与单独的HbA1c相比,它或许还能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,葡萄糖五边形的临床相关性要在充分的长期临床研究中得到验证。

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