针刺治疗糖尿病:血糖水平的动态变化及其数学模型

Decis. Sci. Pub Date : 2023-09-26 DOI:10.3390/sci5040038
Marija Šimat, Mateja Janković Makek, Maja Mičetić
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引用次数: 0

摘要

本研究旨在探讨针刺治疗对2型糖尿病(T2DM)患者晨间血糖水平(BGL)的影响,并建立预测模型。对两名诊断为T2DM的患者进行为期三个月的针灸治疗,在禁食过夜后测量其早晨血糖,并与两名健康状况相似且仅服用二甲双胍类药物的患者的血糖进行比较。结果表明,早晨BGL受单次针刺治疗和多次针刺治疗的影响较大。观察到每次治疗后BGL均显著降低,且整体BGL降低效果明显,这是反复针刺的结果。在针灸后一年的随访中,观察到的BGL降低得以维持。用模型对实测的BGL动力学曲线进行了分析和描述。该模型很好地描述了测量BGL动态的所有关键特征,并提供了描述BGL调节的个人参数。利用该模型模拟不同频率针刺对BGL的调节作用。它可以普遍用于预测针刺对BGL的影响,并优化两次治疗之间的时间间隔。该结果将有助于更好地了解针灸在糖尿病中的应用,并预测其在糖尿病治疗中的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Treatment of Diabetes Mellitus by Acupuncture: Dynamics of Blood Glucose Level and Its Mathematical Modelling
The aim of this research is to present the effects of acupuncture treatment on morning blood glucose level (BGL) in type 2 diabetes mellitus (T2DM) patients, and to describe them by a predictive model. The morning BGL is measured after overnight fasting during a three-month long acupuncture treatment for two persons diagnosed with T2DM and is compared with the BGL of two persons in similar health conditions taking only metformin-based drugs. It is shown that the morning BGL is highly affected by each single acupuncture treatment and by the number of the already applied treatments. Significant lowering of BGL after each treatment is observed, as well as an overall BGL lowering effect, which is the result of the repeated acupuncture. The observed BGL reduction was found to be maintained during a follow-up performed a year after the acupuncture. The measured BGL dynamics curves are analyzed and described by a model. This model describes well all of the key features of the measured BGL dynamics and provides personal parameters that describe the BGL regulation. The model is used to simulate BGL regulation by acupuncture performed with different frequencies. It can be used generally to predict the effects of acupuncture on BGL and to optimize the time between two treatments. The results will enable a better understanding of acupuncture application in diabetes, and a prediction of its effects in diabetes treatment.
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