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首页> 外文期刊>Methods of information in medicine >HbA1c values calculated from blood glucose levels using truncated Fourier series and implementation in standard SQL database language.
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HbA1c values calculated from blood glucose levels using truncated Fourier series and implementation in standard SQL database language.

机译：使用截短的傅立叶级数和标准SQL数据库语言的实现从血糖水平计算出的HbA1c值。

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OBJECTIVES: This article presents a mathematical model to calculate HbA1c values based on self-measured blood glucose and past HbA1c levels, thereby enabling patients to monitor diabetes therapy between scheduled checkups. This method could help physicians to make treatment decisions if implemented in a system where glucose data are transferred to a remote server. The method, however, cannot replace HbA1c measurements; past HbA1c values are needed to gauge the method. METHODS: The mathematical model of HbA1c formation was developed based on biochemical principles. Unlike an existing HbA1c formula, the new model respects the decreasing contribution of older glucose levels to current HbA1c values. About 12 standard SQL statements embedded in a php program were used to perform Fourier transform. Regression analysis was used to gauge results with previous HbA1c values. The method can be readily implemented in any SQL database. RESULTS: The predicted HbA1c values thus obtained were in accordance with measured values. They also matched the results of the HbA1c formula in the elevated range. By contrast, the formula was too "optimistic" in the range of better glycemic control. Individual analysis of two subjects improved the accuracy of values and reflected the bias introduced by different glucometers and individual measurement habits.
机译：目的：本文介绍了一种数学模型，可根据自我测量的血糖和过去的HbA1c水平计算HbA1c值，从而使患者能够在预定的检查之间监视糖尿病的治疗。如果在将葡萄糖数据传输到远程服务器的系统中实施，此方法可以帮助医生做出治疗决策。但是，该方法不能替代HbA1c测量值。需要使用过去的HbA1c值来评估该方法。方法：根据生化原理建立了HbA1c形成的数学模型。与现有的HbA1c公式不同，新模型考虑到了旧血糖水平对当前HbA1c值的降低作用。 php程序中嵌入的大约12条标准SQL语句用于执行傅立叶变换。回归分析用于评估以前的HbA1c值的结果。该方法可以在任何SQL数据库中轻松实现。结果：如此获得的HbA1c预测值与测量值一致。他们还使HbA1c公式的结果在较高范围内匹配。相反，该配方在更好的血糖控制范围内过于“乐观”。对两个受试者的个体分析提高了数值的准确性，并反映了不同血糖仪和个体测量习惯带来的偏差。

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