Study on the distinction of glycemic variability among different glucose regulation populations by phase space reconstruction of time series
10.3760/cma.j.issn.1000-6699.2012.09.007
- VernacularTitle:利用时间序列的相空间重构技术研究不同糖调节人群血糖波动的变化
- Author:
Yun XIE
;
Baoyi LI
;
Xiaojun LUAN
;
Jian ZHOU
;
Liping HAN
;
Jin LI
;
Lele LIU
;
Weiping JIA
- Publication Type:Journal Article
- Keywords:
Continuous glucose monitoring;
Time series;
Phase space reconstruction;
Glycemic phase diagram
- From:
Chinese Journal of Endocrinology and Metabolism
2012;28(9):722-725
- CountryChina
- Language:Chinese
-
Abstract:
Sixty-six volunteers,including 24 subjects with normal glucose tolerance(NGT),18 patients with impaired glucose regulation (IGR),and 24 patients with type 2 diabetes mellitus ( T2DM ),underwent a test of continuous glucose monitoring.The data of continuous glucose monitoring were embedded into two-dimension Euclid space by Takens' embedding theory.Glycemic phase diagram was drawn by MATLAB.The area and center distance of glycemic phase diagram were calculated by computer.The distinction of glycemic variability and average glycemic level among different glucose regulation populations were analyzed.The results showed that there existed significant differences in body mass index,systolic blood pressure,diastolic blood pressure,low density lipoprotein-cholesterol,high density lipoprotein-cholesterol,triglyceride,total cholesterol,creatinine,and alanine aminotransferase among three groups( all P＜0.05 ).The levels of HbAIC,fasting plasma glucose( FPG ),postprandial 2 h plasma glucse (2hPG),area and center distance of glycemic phase diagram in T2DM group were higher than those in NGT and IGR groups( P＜0.01 ),and the levels of FPG,2hPG,area and center distance of glycemic phase diagram in IGR group were higher than those in NGT group( P＜0.01 ).The levels of FPG and 2hPG were correlated with area and center distance of glycemic phase diagram ( all P＜0.01 ).These results suggest that measuring the area and center distance of glycemic phase diagram is a good method to assess glycemic variability and average glycemic level during continuous glucose monitoring.
