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通过近红外光谱法进行无创血糖监测:长期准确性和稳定性的研究。

Non-invasive blood glucose monitoring by means of near infrared spectroscopy: investigation of long-term accuracy and stability.

作者信息

Sämann A, Fischbacher C H, Jagemann K U, Danzer K, Schüler J, Papenkordt L, Müller U A

机构信息

Department of Internal Medicine II, Medical School. Friedrich-Schiller-University, Jena, Germany.

出版信息

Exp Clin Endocrinol Diabetes. 2000;108(6):406-13. doi: 10.1055/s-2000-8137.

Abstract

Modern strategies in the treatment of Diabetes mellitus require frequent blood glucose tests. Near-infrared spectroscopy [NIR] is considered to be a method for non-invasive blood glucose testing. The present study evaluated the long-term accuracy and stability of the method. Spectra of 10 patients were recorded. An individual calibration models were calculated for each patient from spectra which were recorded at the beginning of the investigation. These models were then applied to calculate blood glucose values from spectra which were recorded 84 to 169 days later. The long-term accuracy and stability of the calibration models expressed as root mean squared error of prediction [RMSP] varied from 3.1 to 35.9 mmol/l and the error grid analysis [EGA] from 13 to 92% clinically acceptable values in zones A and B. The results of the investigation indicate that long-term monitoring of blood glocose by means of NIR-spectroscopy and individual calibration models over a period of 3 to 4 months is basically possible once long-term stability of the method will be improved. Further technological progress and a better understanding of the underlying physiological processes is necessary to achieve a level of accuracy, reliability and stability of the method as required for clinical application.

摘要

现代糖尿病治疗策略需要频繁进行血糖检测。近红外光谱法(NIR)被认为是一种无创血糖检测方法。本研究评估了该方法的长期准确性和稳定性。记录了10名患者的光谱。根据研究开始时记录的光谱为每位患者计算了个体校准模型。然后将这些模型应用于根据84至169天后记录的光谱计算血糖值。校准模型的长期准确性和稳定性以预测均方根误差(RMSP)表示,范围为3.1至35.9 mmol/l,误差网格分析(EGA)在A区和B区的临床可接受值为13%至92%。研究结果表明,一旦该方法的长期稳定性得到改善,通过NIR光谱法和个体校准模型对血糖进行长达3至4个月的长期监测基本上是可行的。要达到临床应用所需的方法准确性、可靠性和稳定性水平,还需要进一步的技术进步以及对潜在生理过程的更好理解。

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