1型糖尿病患者血糖变异性:与认知功能障碍的关系及磁共振成像结果

I. Samoilova, M. A. Rotkank, N. Zhukova, M. Matveeva, I. Tolmachev, D. A. Kudlai
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引用次数: 10

摘要

背景。血糖变异性是糖尿病控制中的一个重要问题。可以假设,与这种疾病相关的认知障碍是由于血糖的变异性不仅影响大脑的结构,而且影响大脑的代谢。目的:本研究旨在评估1型糖尿病(DM1)患者血糖变异性的价值,以及它们与神经心理测试和磁共振成像数据的关系。材料和方法。我们对性别和年龄匹配的DM1患者和非糖尿病患者进行了一项单阶段观察性研究。所有参与者都进行了神经心理测试、脑磁共振成像(MRI)和质子磁共振波谱(PMRS);评估空腹血糖和糖化血红蛋白(HbA1c)水平。分析DM1患者血糖连续监测结果,计算血糖变异性系数。结果。DM1 58患者神经心理测试得分下降(p<0.05),灰质体积减少(p=0.004),白质体积增加(p=0.001),脑代谢受损(p<0.05)。MoCa试验总结果与LI的相关性(r= -0.34;p=0.008), MODD (r= -0.36;p=0.005), ADRR (r= -0.28;P =0.032)。CONGA指数与左海马体积呈负相关(r= -0.27;P =0.044)。血糖变异性指数与脑各部位主要代谢物含量也存在一定的相关性(p<0.05)。结论。认知功能障碍的MD1患者表现出与血糖变异性相关的解剖和代谢性脑障碍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Variability of glycemia in patients with type 1 diabetes mellitus: the relationship with cognitive dysfunction and the results of magnetic resonance imaging
Background. Variability of glycemia is an important problem in the control of diabetes mellitus. It can be assumed that cognitive impairment associated with this disease is due to the fact that variability of glycemia affects not only the structure, but also metabolism of the brain. Objective — the study was aimed at assessing the values of glycemia variability, as well as their relationship with neuropsychological testing and magnetic resonance imaging data in patients with type 1 diabetes mellitus (DM1). Material and methods. We carried out a one-stage observational study of sex and age matched patients with DM1 and individuals without diabetes. All participants underwent neuropsychological testing, magnetic resonance imaging (MRI), and proton magnetic resonance spectroscopy (PMRS) of the brain; fasting plasma glucose and glycated hemoglobin (HbA1c) levels were assessed. The results of continuous monitoring of glycemia were analyzed in DM1 patients followed by calculation of glycemic variability coefficients. Results. DM1 58 patients demonstrated decrease in neuropsychological testing scores (p<0.05), decrease in the gray matter volume (p=0.004), and increase in the white matter volume (p=0.001), as well as impaired metabolism of the brain (p<0.05). Correlations between the total result of the MoCa test and LI (r=–0.34; p=0.008), MODD (r=–0.36; p=0.005), and ADRR (r=–0.28; p=0.032) were found. Negative relationship between the CONGA index and the volume of the left hippocampus (r=–0.27; p=0.044) was found. There were also some correlations between the glycemic variability indexes and the content of the main metabolites in different areas of the brain (p<0.05). Conclusion. MD1 patients with cognitive dysfunction demonstrated anatomical and metabolic brain disorders associated with glycemic variability.
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