A novel approach to mitigating the physiological lag between blood and interstitial fluid glucose measurements.
A novel approach to mitigating the physiological lag between blood and interstitial fluid glucose measurements.
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DOI：
10.1089/dia.2004.6.635
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发表时间：
2004-10-01
影响因子：
5.4
通讯作者：
Hilgers, Michael E
中科院分区：
文献类型：
--
作者：
Stout, Philip J;Racchini, Joel R;Hilgers, Michael E
背景技术背景：血液和间质液（ISF）葡萄糖水平之间的滞后可能会显著导致当前和预期的连续葡萄糖监测系统的准确性误差。减轻这种生理滞后可以是一个重要的和有用的手段，为提高准确性，因此，临床实用性，连续葡萄糖monitors.METHODS：在测试中的22例糖尿病患者，其中葡萄糖波动是通过口服摄入葡萄糖负荷，葡萄糖水平在手指血液和前臂皮肤ISF进行了监测超过5-6小时的时间。ISF从两种类型的部位取样：通过调节压力应用提高局部血液灌注的部位（试验ISF）和未采用灌注升高技术的对照部位（对照ISF）。平均滞后时间两个ISF样品和手指毛细血管血糖之间的平均值（平均值+/- SD值）分别测定为38.3 +/- 11.5和2.5 +/- 6.6 min，用于对照和供试ISF样品。调制的压力应用减轻了ISF的生理误差平均为95%，在这个test.CONCLUSIONS：这里提出的方法，使用压力调制技术，以创建一个海拔的血流量持有承诺显着减轻一个最重要的组成部分的准确性误差连续监测系统。
BACKGROUND: Lag between blood and interstitial fluid (ISF) glucose levels can contribute significantly to accuracy error in current and anticipated continuous glucose monitoring systems. Mitigating this physiological lag can be an important and useful means for improving the accuracy, and hence the clinical utility, of continuous glucose monitors.METHODS: In a test of 22 subjects with diabetes in which a glucose excursion was induced through oral ingestion of a glucose load, glucose levels in finger blood and forearm dermal ISF were monitored over a 5-6-h period. ISF was sampled from two types of sites: sites at which local blood perfusion was elevated through modulated pressure application (test ISF), and control sites at which no perfusion elevation technique was employed (control ISF).RESULTS: Average lag times (mean +/- SD values) between the two ISF samples and finger capillary blood glucose were determined to be 38.3 +/- 11.5 and 2.5 +/- 6.6 min, respectively, for the control and test ISF samples. Modulated pressure application mitigated the ISF physiological error by an average of 95% in this test.CONCLUSIONS: The methodology presented here of using a pressure modulation technique to create an elevation in blood flow holds promise for significantly mitigating one of the most significant components of accuracy error for continuous monitoring systems.