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血糖变异性:糖尿病患者连续血糖监测期间不同指标的比较

Glucose Variability: Comparison of Different Indices During Continuous Glucose Monitoring in Diabetic Patients.

作者信息

Le Floch Jean-Pierre, Kessler Laurence

机构信息

Diabetology, Clinique de Villecresnes, Villecresnes, France

Diabetology, CHRU de Strasbourg, Strasbourg, France.

出版信息

J Diabetes Sci Technol. 2016 Jun 28;10(4):885-91. doi: 10.1177/1932296816632003. Print 2016 Jul.

Abstract

BACKGROUND

Glucose variability has been suspected to be a major factor of diabetic complications. Several indices have been proposed for measuring glucose variability, but their interest remains discussed. Our aim was to compare different indices.

METHODS

Glucose variability was studied in 150 insulin-treated diabetic patients (46% men, 42% type 1 diabetes, age 52 ± 11 years) using a continuous glucose monitoring system (668 ± 564 glucose values; mean glucose value 173 ± 38 mg/dL). Results from the mean, the median, different indices (SD, MAGE, MAG, glucose fluctuation index (GFI), and percentages of low [<60 mg/dL] and high [>180 mg/dL] glucose values), and ratios (CV = SD/m, MAGE/m, MAG/m, and GCF = GFI/m) were compared using Pearson linear correlations and a multivariate principal component analysis (PCA).

RESULTS

CV, MAGE/m (ns), GCF and GFI (P < .05), MAG and MAG/m (P < .01) were not strongly correlated with the mean. The percentage of high glucose values was mainly correlated with indices. The percentage of low glucose values was mainly correlated with ratios. PCA showed 3 main axes; the first was associated with descriptive data (mean, SD, CV, MAGE, MAGE/m, and percentage of high glucose values); the second with ratios MAG/m and GCF and with the percentage of low glucose values; and the third with MAG, GFI, and the percentage of high glucose values.

CONCLUSIONS

Indices and ratios provide complementary pieces of information associated with high and low glucose values, respectively. The pairs MAG+MAG/m and GFI+GCF appear to be the most reliable markers of glucose variability in diabetic patients.

摘要

背景

血糖变异性被怀疑是糖尿病并发症的主要因素。已经提出了几种用于测量血糖变异性的指标,但其意义仍存在争议。我们的目的是比较不同的指标。

方法

使用连续血糖监测系统(668±564个血糖值;平均血糖值173±38mg/dL)对150例接受胰岛素治疗的糖尿病患者(46%为男性,42%为1型糖尿病,年龄52±11岁)的血糖变异性进行研究。比较了均值、中位数、不同指标(标准差、平均血糖波动幅度、平均血糖波动幅度平均值、血糖波动指数以及低血糖值[<60mg/dL]和高血糖值[>180mg/dL]的百分比)以及比率(变异系数=标准差/均值、平均血糖波动幅度/均值、平均血糖波动幅度平均值/均值以及血糖波动系数=血糖波动指数/均值),采用Pearson线性相关性分析和多变量主成分分析(PCA)。

结果

变异系数、平均血糖波动幅度/均值(无显著相关性)、血糖波动系数和血糖波动指数(P<.05)、平均血糖波动幅度平均值和平均血糖波动幅度平均值/均值(P<.01)与均值的相关性不强。高血糖值百分比主要与指标相关。低血糖值百分比主要与比率相关。主成分分析显示3个主要轴;第一个与描述性数据(均值、标准差、变异系数、平均血糖波动幅度、平均血糖波动幅度/均值以及高血糖值百分比)相关;第二个与比率平均血糖波动幅度平均值/均值和血糖波动系数以及低血糖值百分比相关;第三个与平均血糖波动幅度平均值、血糖波动指数以及高血糖值百分比相关。

结论

指标和比率分别提供了与高血糖值和低血糖值相关的互补信息。平均血糖波动幅度平均值+平均血糖波动幅度平均值/均值以及血糖波动指数+血糖波动系数这两组似乎是糖尿病患者血糖变异性最可靠的标志物。

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本文引用的文献

2
Multiplicative standard deviation for blood glucose.
Diabetes Technol Ther. 2014 Apr;16(4):195-7. doi: 10.1089/dia.2013.0295. Epub 2013 Nov 21.
4
Glucose variability: where it is important and how to measure it.
Diabetes. 2013 May;62(5):1405-8. doi: 10.2337/db12-1610.
5
Glucose variability.
Diabetes. 2013 May;62(5):1398-404. doi: 10.2337/db12-1396.
7
Real-time improvement of continuous glucose monitoring accuracy: the smart sensor concept.
Diabetes Care. 2013 Apr;36(4):793-800. doi: 10.2337/dc12-0736. Epub 2012 Nov 19.
8
The challenges of measuring glycemic variability.
J Diabetes Sci Technol. 2012 May 1;6(3):712-5. doi: 10.1177/193229681200600328.

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