Zhang Shuangmei, Wang Anrong, Liu Shen, Liu Hongyu, Zhu Weifeng, Zhang Zhaoxu
Department of Pain Rehabilitation, Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China.
Institute of Cancer and Basic Medicine, Chinese Academy of Sciences, Hangzhou, China.
Front Aging Neurosci. 2023 Jul 18;15:1156908. doi: 10.3389/fnagi.2023.1156908. eCollection 2023.
In the past, researchers have observed a significant link between glycemia and dementia. Medial temporal atrophy (MTA) is regarded as a common marker of dementia. The correlation between glycemic variability and MTA is unclear, and it has not been determined whether glycemic variability can be utilized as a biomarker of MTA and cognitive performance.
The patients in a memory clinic who underwent brain MRI scans and cognitive assessments within the first week of their hospital visit, were enrolled. All participants underwent three fasting blood glucose and one HBA1c assessments on three self-selected days within 1 week of their first visit. The variability independent of the mean (VIM) was employed. Validated visual scales were used to rate the MTA results. The mini-mental state examination (MMSE) and Montreal Cognitive Assessment (MoCA) scales were employed to assess the cognitive functions of the participants. Spearman's correlation and regression models were used to examine the relationship between the MMSE and MoCA scales, and also determine the link between the MRI characteristics and cognitive status, where vascular risk factors, educational status, age, gender, and mean glucose parameters served as covariates.
Four hundred sixty-one subjects completed the MMSE scale, while 447 participants completed the MoCA scale. Data analysis revealed that 47.72% of the participants were men (220/461), and the median age of the patients was 69.87 ± 5.37 years. The findings of Spearman's correlation analysis exhibited a strong negative relationship between the VIM and MMSE score ( = -0.729, < 0.01), and the MoCA score ( = -0.710, < 0.01). The VIM was regarded as an independent risk factor for determining cognitive impairment in both the MMSE and MoCA assessments. The results were unaffected by sensitivity analysis. In addition, a non-linear relationship was observed between the VIM and MTA scores.
The variability in the blood glucose levels, which was presented as VIM, was related to the reduced cognitive function, which was reflected by MMSE and MoCA scales. The relationship between the VIM and the MTA score was non-linear. The VIM was positively related to the MTA score when the VIM was less than 2.42.
过去,研究人员观察到血糖与痴呆之间存在显著联系。内侧颞叶萎缩(MTA)被视为痴呆的常见标志物。血糖变异性与MTA之间的相关性尚不清楚,且尚未确定血糖变异性是否可作为MTA和认知表现的生物标志物。
纳入在记忆门诊就诊第一周内接受脑部MRI扫描和认知评估的患者。所有参与者在首次就诊后1周内自行选择的3天进行3次空腹血糖和1次糖化血红蛋白(HBA1c)评估。采用独立于均值的变异性(VIM)。使用经过验证的视觉量表对MTA结果进行评分。采用简易精神状态检查表(MMSE)和蒙特利尔认知评估量表(MoCA)评估参与者的认知功能。使用Spearman相关性和回归模型来检验MMSE与MoCA量表之间的关系,并确定MRI特征与认知状态之间的联系,其中血管危险因素、教育程度、年龄、性别和平均血糖参数作为协变量。
461名受试者完成了MMSE量表,447名参与者完成了MoCA量表。数据分析显示,47.72%的参与者为男性(220/461),患者的中位年龄为69.87±5.37岁。Spearman相关性分析结果显示,VIM与MMSE评分(r = -0.729,P < 0.01)以及MoCA评分(r = -0.710,P < 0.01)之间存在强烈的负相关关系。在MMSE和MoCA评估中,VIM被视为确定认知障碍的独立危险因素。敏感性分析未影响结果。此外,观察到VIM与MTA评分之间存在非线性关系。
以VIM表示的血糖水平变异性与认知功能降低有关,MMSE和MoCA量表反映了这一点。VIM与MTA评分之间的关系是非线性的。当VIM小于2.42时,VIM与MTA评分呈正相关。