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中华肥胖与代谢病电子杂志 ›› 2017, Vol. 03 ›› Issue (02) : 78 -81. doi: 10.3877/cma.j.issn.2095-9605.2017.02.005

所属专题: 文献

临床研究

果糖胺与餐后血糖和血糖变异性的相关性分析
郭宝强1,(), 许秀丽1, 刘涛1, 于姗1   
  1. 1. 252000 山东省,聊城市第二人民医院内分泌科
  • 收稿日期:2017-05-12 出版日期:2017-05-30
  • 通信作者: 郭宝强
  • 基金资助:
    山东省聊城市科技发展计划课题(2010ZC011)

Correlation analysis between fructosamine and postprandial blood glucose and glycemic variability

Baoqiang Guo1,(), Xiuli Xu1, Tao Liu1, Shan Yu1   

  1. 1. Department of Endocrinology, the Second People’s Hospital of Liaocheng, Shandong 252000, China
  • Received:2017-05-12 Published:2017-05-30
  • Corresponding author: Baoqiang Guo
  • About author:
    Corresponding author: Guo Baoqiang, Email:
引用本文:

郭宝强, 许秀丽, 刘涛, 于姗. 果糖胺与餐后血糖和血糖变异性的相关性分析[J]. 中华肥胖与代谢病电子杂志, 2017, 03(02): 78-81.

Baoqiang Guo, Xiuli Xu, Tao Liu, Shan Yu. Correlation analysis between fructosamine and postprandial blood glucose and glycemic variability[J]. Chinese Journal of Obesity and Metabolic Diseases(Electronic Edition), 2017, 03(02): 78-81.

目的

探讨果糖胺(FA)与餐后高血糖和血糖变异的相关性。

方法

回顾性分析2012年6月至2014年6月在聊城市第二人民医院内分泌科就诊的30例2型糖尿病(T2DM)患者(病例组)和在门诊体检的30例健康人(对照组)的临床资料。所有研究对象均签署知情同意书,符合医学伦理学规定。病例组中,男14例,女16例;平均年龄(55±9)岁;对照组中,男13例,女17例;平均年龄(56±10)岁。比较两组研究对象在空腹状态下的糖化血红蛋白(HbA1c)、FA、血肌酐、血清白蛋白和尿白蛋白排泄率水平;同时,比较动脉血糖仪反映的餐后血糖、平均餐后最高血糖(MPMG)、平均血糖标准差(SDBG)、平均每日高于10 mmol/L的曲线下面积(AUC-10)和平均血糖波动幅度(MAGE)等指标水平。两组资料的比较采用t检验或χ2检验,两组研究对象的FA与24 h平均血糖、SDBG、MPMG、AUC-10和MAGE之间的相关性分析采用Pearson相关分析法。

结果

病例组患者的FA、SDBG、MPMG和MAGE水平分别为(3.1±1.2)(1.8±0.6)(10.4±1.4)和(4.2±1.5)mmol/L,明显高于对照组研究对象的(2.2±0.5)(1.2±0.3)(7.4±1.2)和(3.1±1.4)mmol/L(P<0.05)。对照组研究对象的FA、HbA1c与24 h平均血糖、SDBG、MPMG、AUC-10和MAGE均呈正相关关系(P<0.05);病例组患者的FA与24 h平均血糖、MPMG、AUC-10和MAGE呈正相关关系(P<0.05),而HbA1c只与24 h平均血糖呈正相关关系(P<0.05)。

结论

对于HbA1c达标的T2DM患者而言,FA与反映餐后血糖和血糖变异性的指标呈正相关关系,是反映餐后高血糖和血糖变异性的有效指标。

Objective

To investigate the correlation between fructosamine (FA) and postprandial hyperglycemia and glycemic variability.

Methods

Clinical data of 30 type 2 diabetes mellitus (T2DM) patients (the patient group) treated in the Endocrinology Department and 30 healthy subjects (the control group) undergoing physical examination in the Outpatient Clinic of the Second People’s Hospital of Liaocheng from June 2012 to June 2014 were retrospectively studied. The informed consents of all the subjects were obtained and the local ethical committee approval had been received. In the patient group, 14 were males and 16 were females with an average age of (55±9) years old; and in the control group, 13 were males and 17 were females with an average age of (56±10) years old. The indexes of glycosylated hemoglobin A1c (HbA1c), FA, serum creatinine and serum albumin in the fasting state and urinary albumin excretion rate were compared between the two groups. In the meanwhile, the indexes of postprandial blood glucose, mean postprandial maximum glucose (MPMG), standard deviation of blood glucose (SDBG), area under the curve of level above 10 mmol/L (AUC-10) and mean amplitude of glycemic excursions (MAGE) showed by arterial glucometer were also compared. The comparisons between the two groups were conducted using t test or χ2 test, and the correlation analyses between FA and 24-hour average blood glucose, SDBG, MPMG, AUC-10 and MAGE were conducted using Pearson Correlation Analysis.

Results

The levels of FA, SDBG, MPMG and MAGE in the patient group were (3.1±1.2) (1.8±0.6) (10.4±1.4) and (4.2±1.5) mmol/L respectively, which were significantly higher than (2.2±0.5) (1.2±0.3) (7.4±1.2) and (3.1±1.4) mmol/L of those subjects in the control group (P<0.05). FA and HbA1c of subjects in the control group were positively correlated with the 24-hour average blood glucose, SDBG, MPMG, AUC-10 and MAGE (P<0.05). FA of the subjects in the patient group was positively correlated with the 24-hour average blood glucose, MPMG, AUC-10 and MAGE (P<0.05), but HbA1c was only positively correlated with the 24-hour average blood glucose (P<0.05).

Conclusion

For T2DM patients with HbA1c at the normal level, FA is positively correlated with the indexes reflecting postprandial hyperglycemia and glycemic variability, so it is an efficient feature to predict postprandial hyperglycemia and glycemic variability.

表1 病例组和对照组研究对象一般资料比较
表2 病例组和对照组研究对象的FA、HbA1c分别与动态血糖数据间的相关性分析统计值
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