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  

Study on the distinction of glycemic variability among different glucose regulation populations by phase spacereconstruction of time series

作　　者：谢云[1] 李宝毅[2] 栾晓军[3] 周健[4] 韩丽萍[1] 李瑾[1] 刘乐乐[1] 贾伟平[4] 

机构地区：[1]天津医科大学代谢病医院糖尿病神经内科、卫生部激素与发育重点实验室,300070 [2]天津师范大学数学科学学院 [3]广东省佛山市第一人民医院内分泌科 [4]上海交通大学附属第六人民医院内分泌科

出　　处：《中华内分泌代谢杂志》2012年第9期722-725,共4页Chinese Journal of Endocrinology and Metabolism

基　　金：上海市级医院新兴前沿项目（SHDCl2006101）;天津市教委科技发展基金（20070405）

摘　　要：应用动态血糖监测系统对66名受试者[正常糖耐量（NGT）组24名、糖调节受损（IGR）组18例．2型糖尿病组24例]进行动态血糖监测，利用Takens嵌入理论将监测数据对应的时间序列嵌入到二维欧氏空间中．通过MATLAB数学软件绘制血糖相网，并计算相图面积及其中心距，分析不同糖调节人群的血糖波动和平均水平情况。结果显示．3组人群之间体重指数、收缩压、舒张压、低密度脂蛋白胆固醇、高密度脂蛋白胆固醇、甘油三酯、总胆固醇、肌酐和谷丙转氨酶的差异均有统计学意义（均P〈0．05）；2型糖尿病组的HbA1c、空腹血糖（FPG）、餐后2h血糖（2hPG）及血糖相图面积、相图中心距明显高于IGR和NGT组（均P〈0．01）．IGR组的FPG、2hPG及血糖相图面积、相图中心距高于NGT组（均P〈0．01）；3组人群的FPG、2hPG均与血糖相罔面积、相网中心距相关（均P〈0．01）。这些结果提示血糖相图面积和中心距可以较好地反映受试者的血糖波动和平均水平情况。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 glycemie 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 diffrences in body mass index, systolic blood pressure, diastolic blood pressure, low density lipoprotein-cholesteM, 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 glycemie 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 glyeemie 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 eenter distance of glycemic phase diagram is a good method to assess glyeemic variability and average glycemie level during continuous glucose monitoring.

关 键 词：动态血糖监测 时间序列 相空间重构技术 血糖相图 

分 类 号：R587.1[医药卫生—内分泌]