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Citation of this paper:.[J].Chinese Journal of Clinical Medicine,2017,24(4):554-559
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Author NameAffiliation
李冲1,郑丽丽1,翟绍忠1,卞华2*,高鑫2 1. 郑州大学第一附属医院内分泌代谢科郑州450001 2. 复旦大学附属中山医院内分泌科复旦大学代谢性疾病研究所上海200032 
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.
keywords:24 h urinary glucose  renal threshold for glucose  dynamic blood glucose monitoring system  blood glucose fluctuation
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