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Abstract：
Currently, the rapid development of continuous glucose monitoring (CGM) device brings new insights into the treatment of diabetic patients including those during pregnancy. Complexity and fractality have recently under fast development for extracting information embodied in glucose dynamics measured using CGM. Although scientists have investigated the difference of complexity in glucose dynamics between diabetes and non-diabetes in order to discover better approaches for diabetes care, no one has analyzed the complexity and fractality of glucose dynamics during the process of adopting CGM to successfully treat pregnant women with type 2 diabetes. Thus, we analyzed the complexity and fractality using power spectral density (PSD), multi-scale sample entropy (MSE) and multifractal detrended fluctuation analysis (MF-DFA) in a clinical case. Our results show that (i) there exists multifractal behavior in blood glucose dynamics; (ii) the alpha stable distribution fits to the glucose increment data better than the Gaussian distribution; and (iii) the \"global\" complexity indicated by multiscale entropy, spectrum exponent and Hurst exponent increase and the \"local\" complexity indicated by multifractal spectrum decrease after the successful therapy. Our results offer findings that may bring value to health care providers for managing glucose levels of pregnant women with type 2 diabetes as well as provide scientists a reference on applying complexity and fractality in the clinical practice of treating diabetes.
摘要：
目前,连续血糖监测(CGM)设备的快速发展为糖尿病患者(包括妊娠期糖尿病患者)的治疗带来了新的见解.复杂性和分形最近正在快速发展，用于提取使用CGM测量的葡萄糖动力学中包含的信息。尽管科学家已经研究了糖尿病和非糖尿病之间葡萄糖动力学复杂性的差异，以发现更好的糖尿病护理方法，没有人分析在采用CGM成功治疗2型糖尿病孕妇的过程中葡萄糖动力学的复杂性和分形性.因此，我们使用功率谱密度(PSD)分析了复杂性和分形性，临床病例中的多尺度样本熵(MSE)和多重分形去趋势波动分析(MF-DFA)。我们的结果表明（i）血糖动力学中存在多重分形行为；（ii）α稳定分布比高斯分布更好地拟合葡萄糖增量数据；（iii）多尺度熵表示的“全局”复杂性，成功治疗后，光谱指数和Hurst指数增加，多重分形谱显示的“局部”复杂性降低。我们的结果提供的发现可能为医疗保健提供者管理2型糖尿病孕妇的血糖水平带来价值，并为科学家在治疗糖尿病的临床实践中应用复杂性和分形性提供参考。
