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Estimating Plasma Glucose from Interstitial Glucose: The Issue of Calibration Algorithms in Commercial Continuous Glucose Monitoring Devices

机译:从间质葡萄糖估计血浆葡萄糖:商业连续血糖监测设备中的校准算法问题

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摘要

Evaluation of metabolic control of diabetic people has been classically performed measuring glucose concentrations in blood samples. Due to the potential improvement it offers in diabetes care, continuous glucose monitoring (CGM) in the subcutaneous tissue is gaining popularity among both patients and physicians. However, devices for CGM measure glucose concentration in compartments other than blood, usually the interstitial space. This means that CGM need calibration against blood glucose values, and the accuracy of the estimation of blood glucose will also depend on the calibration algorithm. The complexity of the relationship between glucose dynamics in blood and the interstitial space, contrasts with the simplistic approach of calibration algorithms currently implemented in commercial CGM devices, translating in suboptimal accuracy. The present review will analyze the issue of calibration algorithms for CGM, focusing exclusively on the commercially available glucose sensors.
机译:糖尿病人的代谢控制评估通常是通过测量血液样本中的葡萄糖浓度来进行的。由于其在糖尿病护理方面提供的潜在改进,因此皮下组织中的连续葡萄糖监测(CGM)在患者和医师中都越来越受欢迎。但是,用于CGM的设备可测量除血液以外的其他区域(通常是组织间隙)中的葡萄糖浓度。这意味着CGM需要针对血糖值进行校准,并且血糖估计的准确性也将取决于校准算法。血液中葡萄糖动力学与组织间隙之间关系的复杂性与目前在商用CGM设备中实施的校准算法的简化方法形成了鲜明的对比,这转化为次佳的精度。本综述将专门针对可商购的葡萄糖传感器分析CGM的校准算法问题。

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