Legacy Health System, Legacy Research Institute, Portland, OR 97232, USA.
Diabet Med. 2012 Aug;29(8):1067-73. doi: 10.1111/j.1464-5491.2011.03545.x.
Because declining glucose levels should be detected quickly in persons with Type 1 diabetes, a lag between blood glucose and subcutaneous sensor glucose can be problematic. It is unclear whether the magnitude of sensor lag is lower during falling glucose than during rising glucose.
Initially, we analysed 95 data segments during which glucose changed and during which very frequent reference blood glucose monitoring was performed. However, to minimize confounding effects of noise and calibration error, we excluded data segments in which there was substantial sensor error. After these exclusions, and combination of data from duplicate sensors, there were 72 analysable data segments (36 for rising glucose, 36 for falling). We measured lag in two ways: (1) the time delay at the vertical mid-point of the glucose change (regression delay); and (2) determination of the optimal time shift required to minimize the difference between glucose sensor signals and blood glucose values drawn concurrently.
Using the regression delay method, the mean sensor lag for rising vs. falling glucose segments was 8.9 min (95%CI 6.1-11.6) vs. 1.5 min (95%CI -2.6 to 5.5, P<0.005). Using the time shift optimization method, results were similar, with a lag that was higher for rising than for falling segments [8.3 (95%CI 5.8-10.7) vs. 1.5 min (95% CI -2.2 to 5.2), P<0.001]. Commensurate with the lag results, sensor accuracy was greater during falling than during rising glucose segments.
In Type 1 diabetes, when noise and calibration error are minimized to reduce effects that confound delay measurement, subcutaneous glucose sensors demonstrate a shorter lag duration and greater accuracy when glucose is falling than when rising.
由于 1 型糖尿病患者的血糖水平应迅速下降,因此血糖与皮下传感器葡萄糖之间的延迟可能会出现问题。目前尚不清楚在血糖下降期间传感器延迟的幅度是否低于血糖上升期间。
最初,我们分析了 95 个血糖变化的数据段,在此期间进行了非常频繁的参考血糖监测。然而,为了最大程度地减少噪声和校准误差的混杂影响,我们排除了传感器存在大量误差的数据段。排除这些数据段并结合重复传感器的数据后,有 72 个可分析的数据段(上升葡萄糖 36 个,下降葡萄糖 36 个)。我们通过两种方式测量延迟:(1)在葡萄糖变化的垂直中点处的时间延迟(回归延迟);(2)确定将葡萄糖传感器信号与同时抽取的血糖值之间的差异最小化所需的最佳时间偏移。
使用回归延迟法,上升与下降葡萄糖段的传感器平均延迟分别为 8.9 分钟(95%CI 6.1-11.6)和 1.5 分钟(95%CI -2.6 至 5.5,P<0.005)。使用时间偏移优化法,结果相似,上升段的延迟高于下降段[8.3(95%CI 5.8-10.7)和 1.5 分钟(95%CI -2.2 至 5.2,P<0.001)。与延迟结果一致,传感器在血糖下降期间的准确性高于血糖上升期间。
在 1 型糖尿病中,当最小化噪声和校准误差以减少干扰延迟测量的影响时,皮下葡萄糖传感器在血糖下降期间的滞后时间更短,准确性更高,而在血糖上升期间则相反。