title: Relationship between CA 19-9 levels and glucose regulation in a middle-aged and elderly Chinese population.
abstract: OBJECTIVE
  To investigate carbohydrate antigen (CA) 19-9 levels in subjects with different glucose regulation status and assess the relationship between CA 19-9 and glucose regulation status in a Chinese population aged 40 years and older.
  
  
  METHODS
  A total of 2792 participants aged 40 years or older with no history of diabetes were enrolled in the present study from the Songnan region, Shanghai, China. Each participant received a two-point (at 0 and 2 hours) 75-g oral glucose tolerance test and measurements of hemoglobin A1c (Hb(A1c)) and CA 19-9 were made.
  
  
  RESULTS
  The CA 19-9 levels increased gradually from normal glucose regulation to impaired glucose regulation to new-onset diabetic patients (8.81, 9.84, and 11.08 U/mL, respectively, P < 0.0001 for trend). In new-onset diabetic patients, the CA 19-9 levels were positively and significantly associated with fasting plasma glucose (r = 0.20, P < 0.0001), 2 h post-load plasma glucose (r = 0.17, P = 0.0007), and Hb(A1c) (r = 0.19, P = 0.0001). Meanwhile, patients with new-onset diabetes had 3.31-fold (OR, 4.31; 95% CI, 2.00-9.32) increased higher odds ratio of elevated CA 19-9 as compared with those with normal glucose regulation after adjustments for confounders.
  
  
  CONCLUSIONS
  The CA 19-9 levels were significantly higher in diabetic and patients with impaired glucose regulation compared with subjects with normal glucose regulation. Diabetic status was independently associated with elevated CA 19-9. These results imply that CA 19-9 might also relate to the endocrine function of the pancreas.
authors.affiliation: Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, E-Institute of Shanghai Universities, Shanghai, China.
authors.forename: Yun
authors.initials: Y
authors.lastname: Huang
authors.forename: Yu
authors.initials: Y
authors.lastname: Xu
authors.forename: Yufang
authors.initials: Y
authors.lastname: Bi
authors.forename: Min
authors.initials: M
authors.lastname: Xu
authors.forename: Jieli
authors.initials: J
authors.lastname: Lu
authors.forename: Tiange
authors.initials: T
authors.lastname: Wang
authors.forename: Mian
authors.initials: M
authors.lastname: Li
authors.forename: Yuhong
authors.initials: Y
authors.lastname: Chen
authors.forename: Yu
authors.initials: Y
authors.lastname: Liu
authors.forename: Fei
authors.initials: F
authors.lastname: Huang
authors.forename: Baihui
authors.initials: B
authors.lastname: Xu
authors.forename: Jie
authors.initials: J
authors.lastname: Zhang
authors.forename: Weiqing
authors.initials: W
authors.lastname: Wang
authors.forename: Guang
authors.initials: G
authors.lastname: Ning
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D015415:Biomarkers / Q000097:blood; D001786:Blood Glucose / Q000032:analysis*; D018395:CA-19-9 Antigen / Q000097:blood*; D016009:Chi-Square Distribution; D002681:China; D003920:Diabetes Mellitus / Q000097:blood* / Q000175:diagnosis; D018149:Glucose Intolerance / Q000097:blood* / Q000175:diagnosis; D005951:Glucose Tolerance Test; D006442:Glycated Hemoglobin / Q000032:analysis*; D006801:Humans; D016015:Logistic Models; D008875:Middle Aged; D016017:Odds Ratio; D011237:Predictive Value of Tests; D011379:Prognosis; D015854:Up-Regulation
chemical_list: D015415:Biomarkers; D001786:Blood Glucose; D018395:CA-19-9 Antigen; D006442:Glycated Hemoglobin; C517652:hemoglobin A1c protein, human