匈牙利1型糖尿病儿童HbAlc与血糖指标的相关性研究

T. Ferenci, Anna Körner, L. Kovács
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引用次数: 1

摘要

糖尿病的技术进步提高了治疗的可能性。从连续血糖测量(CGM)设备获得的大量数据为血糖变化和其他与糖尿病治疗相关的参数提供了新的研究视角。本文旨在探讨连续血糖监测仪测血糖患者的年龄、糖尿病病程和性别之间的关系。血糖水平的特征是处于高血糖和低血糖状态的相对时间、集中趋势(平均值和中位数)和离散度(标准差和四分位数范围)。这些参数是在n=58匈牙利1型糖尿病儿童中测量的。儿童控制不良,进行非盲法连续血糖监测以优化治疗。采用散点图(非参数平滑)、线性和Spearman-p相关系数研究上述参数之间的单变量关联。采用典型相关分析考察多元结构。研究发现,年龄和糖尿病病程与任何血糖指标均无显著相关性,但血红蛋白Alc (HbAlc)与高血糖持续时间呈正相关(但与低血糖无关),具有集中趋势和弥散性。与分散的关联很可能是由集中趋势引起的虚假关系(作为混杂因素)。我们观察到描述符与HbAlc的关联是非单调的,在10%的正相关中中断。我们假设这是由于患者依从性差造成的,即那些状态较差的患者在CGM测量期间越来越多地“作弊”,即他们比通常没有CGM测量时更注意自己的血糖水平;因此打破了预期的积极的、单调的联系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correlation investigations between HbAlc and blood glucose indicators on type 1 diabetic Hungarian children
Technological advancements in diabetes has improved treatment possibilities. The big amount of data obtained from continuous glucose measurement (CGM) devices gave new investigation perspectives of blood glucose variation and other parameters connected to diabetic treatment. The aim of the paper is to investigate the relationship between age, duration of diabetes and sex of the patient with blood glucose levels measured with continuous glucose monitor. Blood glucose level was characterized with the relative time spent in hyper- and hypoglycaemia, central tendency (mean and median) and dispersion (standard deviation and interquartile range). These parameters were measured on n=58 Hungarian children suffering from type 1 diabetes mellitus. The children were poorly controlled, with non-blinded continuous glucose monitor performed to optimize therapy. The univariate association between the aforementioned parameters was investigated with scatterplots (with non-parametric smoothing), linear and Spearman-p correlation coefficients. Multivariate structure was investigated with canonical correlation analysis. It was found that age and duration of diabetes was not significantly associated with any descriptor of blood glucose, but hemoglobin Alc (HbAlc) was positively associated with time spent in hyperglycaemia (but not with hypoglycaemia), with central tendency and with dispersion. The association with dispersion is likely a spurious relationship induced by the central tendency (as a confounder). We observed that the associations of the descriptors with HbAlc are non-monotone, with a break in the positive correlation at 10%. We hypothesize that this is caused by the poor compliance of the patients, i.e. those in worse state increasingly “cheat” during CGM measurements, that is, they pay more attention to their blood glucose levels than what is usually done when no CGM measurement is present; therefore breaking the expected positive, monotone association.
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