title: [Relationship between brachial-ankle pulse wave velocity and glycemic control of type 2 diabetes mellitus patients in Beijing community population].
abstract: OBJECTIVE
  To explore the correlation between glycemic control of type 2 diabetes mellitus (T2DM) patients and brachial-ankle pulse velocity (baPWV).
  
  
  METHODS
  A community-based cross-sectional study was conducted in Beijing, China. Every subject underwent physical examinations, glycated hemoglobin (HbA1c), blood lipid and baPWV measurements and completed a standardized questionnaire. T2DM patients were divided into well controlled and poorly controlled groups according to HbA1c levels. The correlation between glycemic control of T2DM patients and baPWV was analyzed.
  
  
  RESULTS
  In this study, 1 341 subjects were recruited, including 733 T2DM patients and 608 non-diabetes subjects. Compared with non-diabetes subjects, abnormal baPWV (baPWV≥1 700 cm/s) rate for T2DM patients was higher (40.8% vs. 26.8%, P<0.001). With HbA1c<6.5% or <7.0% as the aim of glycemic control in T2DM patients, the abnormal baPWV rates for non-diabetes subjects, well controlled and poorly controlled T2DM patients were significantly different (non-diabetes vs. HbA1c<6.5% T2DM vs. HbA1c≥6.5% T2DM: 26.8% vs. 32.8% vs. 42.6%, P<0.001; non-diabetes vs. HbA1c<7.0% T2DM vs. HbA1c≥7.0% T2DM: 26.8% vs. 36.1% vs. 43.4%, P<0.001). After being adjusted for gender, age, smoking status, diabetes mellitus family history, T2DM duration, cardiovascular diseases (CVD), waist hip ratio (WHR), systolic blood pressure (SBP), diastolic blood pressure (DBP), total triglycerides (TG), high density lipoprotein cholesterol (HDL-C), and low density lipoprotein cholesterol (LDL-C), the Logistic regression models suggested that glycemic control status of T2DM patients was associated with abnormal baPWV. Compared with non-diabetes subjects, the ORs for abnormal baPWV in HbA1c<6.5% T2DM patients and HbA1c≥6.5% T2DM patients were 0.927(95%CI 0.560-1.537) and 1.826 (95%CI 1.287-2.591). Compared with non-diabetes subjects, the ORs for abnormal baPWV in HbA1c<7.0% T2DM patients and HbA1c≥7.0% T2DM patients were 1.210 (95%CI 0.808-1.811) and 1.898 (95%CI 1.313-2.745).
  
  
  CONCLUSIONS
  The glycemic control status of T2DM patients from communities is significantly associated with baPWV. Poor glycemic control is a risk factor for abnormal baPWV. Keeping HbA1c under control might lower the risk of cardiovascular diseases in T2DM patients.
authors.affiliation: Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
authors.forename: Ke-xin
authors.initials: KX
authors.lastname: Sun
authors.affiliation: Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
authors.forename: Zhi-ke
authors.initials: ZK
authors.lastname: Liu
authors.affiliation: Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
authors.forename: Ya-ying
authors.initials: YY
authors.lastname: Cao
authors.affiliation: Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
authors.forename: Juan
authors.initials: J
authors.lastname: Juan
authors.affiliation: Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
authors.forename: Xiao
authors.initials: X
authors.lastname: Xiang
authors.affiliation: Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
authors.forename: Cheng
authors.initials: C
authors.lastname: Yang
authors.affiliation: Fangshan District Center for Disease Control and Prevention, Beijing 102401, China.
authors.forename: Shao-ping
authors.initials: SP
authors.lastname: Huang
authors.affiliation: Fangshan District Center for Disease Control and Prevention, Beijing 102401, China.
authors.forename: Xiao-fen
authors.initials: XF
authors.lastname: Liu
authors.affiliation: Fangshan District Science and Techology Commission, Beijing 102488, China.
authors.forename: Na
authors.initials: N
authors.lastname: Li
authors.affiliation: Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
authors.forename: Xun
authors.initials: X
authors.lastname: Tang
authors.affiliation: Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
authors.forename: Jin
authors.initials: J
authors.lastname: Li
authors.affiliation: Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
authors.forename: Tao
authors.initials: T
authors.lastname: Wu
authors.affiliation: Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
authors.forename: Da-fang
authors.initials: DF
authors.lastname: Chen
authors.affiliation: Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
authors.forename: Yong-hua
authors.initials: YH
authors.lastname: Hu
mesh_terms: D055109:Ankle Brachial Index; D001783:Blood Flow Velocity; D001786:Blood Glucose / Q000032:analysis*; D001794:Blood Pressure; D002318:Cardiovascular Diseases; D016022:Case-Control Studies; D002681:China; D008076:Cholesterol, HDL / Q000097:blood; D008078:Cholesterol, LDL / Q000097:blood; D003430:Cross-Sectional Studies; D003924:Diabetes Mellitus, Type 2 / Q000097:blood*; D006442:Glycated Hemoglobin / Q000737:chemistry; D006801:Humans; D011673:Pulsatile Flow; D063177:Pulse Wave Analysis; D012307:Risk Factors; D014280:Triglycerides / Q000097:blood; D049629:Waist-Hip Ratio
chemical_list: D001786:Blood Glucose; D008076:Cholesterol, HDL; D008078:Cholesterol, LDL; D006442:Glycated Hemoglobin; D014280:Triglycerides