Details

Autor(en) / Beteiligte

• Sun, Jie
• Dou, Jing-Tao
• Wang, Xian-Ling
• Yang, Guo-Qing
• Lü, Zhao-Hui
• Zheng, Hua
• Ma, Fang-Ling
• Lu, Ju-Ming
• Mu, Yi-Ming

Titel

Correlation between 1,5-anhydroglucitol and glycemic excursions in type 2 diabetic patients

Ist Teil von

• Chinese medical journal, 2011-11, Vol.124 (22), p.3641-3645

Ort / Verlag

China: Department of Endocrinology, Chinese People's Liberation Army 89th Hospital, Weifang, Shandong 261041, China.%Department of Endocrinology, Chinese People's Liberation Army General Hospital, Beijing 100853, China

Erscheinungsjahr

2011

Quelle

Elektronische Zeitschriftenbibliothek (Open access)

Beschreibungen/Notizen

• Background The accurate and comprehensive assessment of glycemic control in patients with diabetes is important for optimizing glycemic management and for formulating personalized diabetic treatment schemes. This study aimed to analyze the correlation between 1,5-anhydroglucitol （1,5-AG） and glycemic excursions in type 2 diabetic patients. Methods Seventy-one outpatients with type 2 diabetes mellitus were randomly recruited from Chinese People＇s Liberation Army General Hospital. Using a continuous glucose monitoring system （CGMS）, these patients＇ blood glucose levels were monitored for three consecutive days to obtain mean blood glucose （MBG） data. Intraday glycemic excursions were evaluated using the mean amplitude of glycemic excursions （MAGE）, the largest amplitude of glycemic excursions （LAGE）, standard deviation of blood glucose （SDBG） and the M-value. Interday glycemic excursion was assessed by absolute mean of daily difference （MODD）. Postprandial glycemic fluctuations were evaluated using postprandial glucose excursions （PPGE） and postprandial incremental area under the curve （iAUC）. Fasting venous blood samples were collected to measure serum 1,5-AG, whole-blood hemoglobin Alc （HbAlc） and serum glycated albumin （GA）. Clinical markers of glycemia and parameters of glycemic excursions from CGMS were analyzed using the Pearson correlation coefficient and multivariate stepwise regression. Results Pearson correlation analysis revealed that 1,5-AG was significantly correlated with MAGE, SDBG, M-value, LAGE, PPGE and iAUC （r values were-0.509,-0.430,-0.530,-0.462,-0.416 and-0.435, respectively, P 〈0.01）, especially in moderately and well-controlled patients, based on defined HbAlc levels. Multivariate stepwise regression analysis revealed a negative correlation between 1,5-AG and the above parameters, but not HbAlc and GA. Finally, HbAlc and GA were positively correlated with MBG and fasting blood glucose （FBG）. Conclusions 1,5-AG was much better than HbAlc and GA as a marker of glycemic excursions in type 2 diabetic patients. Based on these results 1,5-AG is the best metric for assessing postprandial glucose levels in moderately and well-controlled patients, while HbAlc and GA were superior to 1,5-AG for monitoring MBG and FBG.