PMID- 22340217
OWN - NLM
STAT- MEDLINE
DCOM- 20120712
LR  - 20221207
IS  - 2542-5641 (Electronic)
IS  - 0366-6999 (Linking)
VI  - 124
IP  - 22
DP  - 2011 Nov
TI  - Correlation between 1,5-anhydroglucitol and glycemic excursions in type 2 
      diabetic patients.
PG  - 3641-5
AB  - 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 A1c (HbA1c) 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 HbA1c levels. 
      Multivariate stepwise regression analysis revealed a negative correlation between 
      1,5-AG and the above parameters, but not HbA1c and GA. Finally, HbA1c and GA were 
      positively correlated with MBG and fasting blood glucose (FBG). CONCLUSIONS: 
      1,5-AG was much better than HbA1c 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 HbA1c and GA were superior to 1,5-AG for monitoring MBG and FBG.
FAU - Sun, Jie
AU  - Sun J
AD  - Department of Endocrinology, Chinese People's Liberation Army General Hospital, 
      Beijing 100853, China.
FAU - Dou, Jing-Tao
AU  - Dou JT
FAU - Wang, Xian-Ling
AU  - Wang XL
FAU - Yang, Guo-Qing
AU  - Yang GQ
FAU - Lu, Zhao-Hui
AU  - Lu ZH
FAU - Zheng, Hua
AU  - Zheng H
FAU - Ma, Fang-Ling
AU  - Ma FL
FAU - Lu, Ju-Ming
AU  - Lu JM
FAU - Mu, Yi-Ming
AU  - Mu YM
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - China
TA  - Chin Med J (Engl)
JT  - Chinese medical journal
JID - 7513795
RN  - 0 (Blood Glucose)
RN  - 0 (Glycated Hemoglobin A)
RN  - 54BB3B7XMZ (1,5-anhydroglucitol)
RN  - 9G2MP84A8W (Deoxyglucose)
SB  - IM
MH  - Aged
MH  - Blood Glucose/*metabolism
MH  - Deoxyglucose/*blood
MH  - Diabetes Mellitus, Type 2/*blood/metabolism/pathology
MH  - Female
MH  - Glycated Hemoglobin/metabolism
MH  - Humans
MH  - Male
MH  - Middle Aged
MH  - Postprandial Period/physiology
EDAT- 2012/02/22 06:00
MHDA- 2012/07/13 06:00
CRDT- 2012/02/21 06:00
PHST- 2012/02/21 06:00 [entrez]
PHST- 2012/02/22 06:00 [pubmed]
PHST- 2012/07/13 06:00 [medline]
PST - ppublish
SO  - Chin Med J (Engl). 2011 Nov;124(22):3641-5.