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2型糖尿病患者24 h尿糖与全天血糖谱的相关性分析

  • 摘要: 目的:探讨2型糖尿病患者24 h尿糖与全天动态血糖波动和胰岛功能的关系。方法:对124例2型糖尿病住院患者进行横断面调查。应用动态血糖监测系统(CGMS)评估血糖波动,计算胰岛β细胞分泌功能,分析24 h尿糖与CGMS血糖波动参数和胰岛功能的关系。结果:2型糖尿病患者平均肾糖阈(RTG)为11.8 mmol/L,其中75%患者的RTG升高(>10 mmol/L),24 h尿糖平均为30.54 g。相关分析显示,24 h尿糖与空腹血糖(FBG)、餐后2 h血糖(2 h PBG)、MBG、空腹(餐前)血糖曲线下面积(AUC2)、餐后血糖曲线下面积(AUC1)、肾小球滤过率(eGFR)正相关,与日内平均血糖波动幅度(MAGE)、RTG负相关,与病程、性别、年龄、体质指数(BMI)、血压、日间血糖平均绝对差(MODD)、胰岛β细胞1相分泌功能、HbA1c无相关性。多元逐步回归分析显示,24 h尿糖受多种因素的影响,影响因素从大到小分别为MAGE、MBG、FBG、eGFR、RTG、AUC2(β’分别为-0.668、0.437、0.148、0.116、-0.107、0.086;P<0.05)。结论:大部分2型糖尿病患者肾糖阈升高。24 h尿糖排泄受血糖水平、动态血糖波动参数、eGFR、RTG的影响,其中MAGE对24 h尿糖排泄影响最大。血糖波动可能是尿糖排泄减少的预测因素。

     

    Abstract: Objective:To investigate the association of 24 h urinary glucose between blood glucose fluctuation and islet function. Methods:A crosssectional survey of 124 inpatients with type 2 diabetes was conducted, the clinical data were collected, dynamic blood glucose monitoring system (CGMS) was applied to assess blood glucose fluctuation, the pancreatic β cell secretion function was calculated, aiming to investigate the association of 24 h urinary glucose between blood glucose fluctuation and islet function. Results:The average of the renal threshold for glucose (RTG) was 11.8 mmol/L and of which 75% were elevated (>10 mmol/L). 24 h urinary glucose was 30.54 g. Correlation analysis demonstrated that 24 h urinary glucose was positively associated with fasting blood glucose (FBG), 2 h postprandial blood glucose (2 h PBG), the mean blood glucose (MBG), fasting plasma (preprandial) glucose area under the curve (AUC2), postprandial glucose area under the curve (AUC1) and glomerular filtration rate (eGFR), there was a significantly negative relationship between 24 h urinary glucose and the mean amplitude of glucose excursions (MAGE) and RTG , but not associated with course of disease, gender, age of patient, body mass index (BMI), blood pressure、absolute means of daily differences (MODD), the pancreatic β cell secretion function and HbA1c. Multiple stepwise regression analysis showed that 24 h urine sugar was correlated with MAGE, MBG, FBG, eGFR, RTG and AUC2 (absolute value of β’ was -0.668,0.437,0.148,0.116,-0.107, and 0.086, respectively; P<0.05). Conclusions:The average of the renal threshold for glucose in patients with type 2 diabetes was elevated. The 24 h urinary glucose was related to blood glucose level, blood glucose fluctuations assessed by CGMS , eGFR and RTG, among which, MAGE influenced 24 h urinary glucose most. MAGE may be the most predictive risk factor for 24 h urinary glucose.

     

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