Kovatchev Boris, Cobelli Claudio
Center for Diabetes Technology, University of Virginia, Charlottesville, VA.
Department of Information Engineering, University of Padova, Padova, Italy
Diabetes Care. 2016 Apr;39(4):502-10. doi: 10.2337/dc15-2035.
Glucose control, glucose variability (GV), and risk for hypoglycemia are intimately related, and it is now evident that GV is important in both the physiology and pathophysiology of diabetes. However, its quantitative assessment is complex because blood glucose (BG) fluctuations are characterized by both amplitude and timing. Additional numerical complications arise from the asymmetry of the BG scale. In this Perspective, we focus on the acute manifestations of GV, particularly on hypoglycemia, and review measures assessing the amplitude of GV from routine self-monitored BG data, as well as its timing from continuous glucose monitoring (CGM) data. With availability of CGM, the latter is not only possible but also a requirement-we can now assess rapid glucose fluctuations in real time and relate their speed and magnitude to clinically relevant outcomes. Our primary message is that diabetes control is all about optimization and balance between two key markers-frequency of hypoglycemia and HbA1c reflecting average BG and primarily driven by the extent of hyperglycemia. GV is a primary barrier to this optimization, including to automated technologies such as the "artificial pancreas." Thus, it is time to standardize GV measurement and thereby streamline the assessment of its two most important components-amplitude and timing.
血糖控制、血糖变异性(GV)和低血糖风险密切相关,现在很明显,GV在糖尿病的生理和病理生理过程中都很重要。然而,其定量评估很复杂,因为血糖(BG)波动具有幅度和时间特征。BG标度的不对称性还带来了额外的数值复杂性。在这篇观点文章中,我们关注GV的急性表现,尤其是低血糖,并回顾从常规自我监测BG数据评估GV幅度以及从连续血糖监测(CGM)数据评估GV时间的方法。随着CGM的应用,后者不仅可行,而且是必要的——我们现在可以实时评估快速血糖波动,并将其速度和幅度与临床相关结果联系起来。我们的主要观点是,糖尿病控制完全在于优化和平衡两个关键指标——低血糖频率和反映平均BG且主要由高血糖程度驱动的糖化血红蛋白(HbA1c)。GV是实现这种优化的主要障碍,包括对“人工胰腺”等自动化技术而言。因此,现在是时候规范GV测量,从而简化对其两个最重要组成部分——幅度和时间的评估了。