title: Predictive value of serum uric acid levels for the diagnosis of metabolic syndrome in adolescents.
abstract: OBJECTIVE
  To evaluate the cause-effect relationships between serum levels of uric acid (UA) and metabolic syndrome (MetS) in an adolescent-male cohort that was followed for 2.7 years.
  
  
  METHODS
  We enrolled male adolescents aged between 10 and 15 years at the baseline. A total of 613 subjects were divided into quartiles according to their UA levels, from UA-1 (the lowest) to UA-4 (the highest).
  
  
  RESULTS
  After the mean follow-up period of 2.7 ± 0.97 years, 19 (3.1%) subjects developed MetS. Waist circumference (WC), systolic blood pressure, high density lipoprotein cholesterol (HDL-C), and log triglyceride levels were significantly related to baseline UA levels. Compared with the UA-1 group, subjects in the UA-4 group had significantly higher OR for abnormal WC, blood pressure, and HDL-C at the end of follow-up and had a 6.39-fold higher OR (95% CI 1.41-29.08; P < .05) for having MetS. Subjects with UA >7.6 mg/dL had a 4.32 (95% CI 1.57-11.93) higher risk of developing MetS.
  
  
  CONCLUSIONS
  In this longitudinal study, we found that serum UA is correlated with future WC, systolic blood pressure, triglyceride, and HDL-C and is a risk factor for developing MetS. UA might be valuable in predicting adolescent MetS.
authors.affiliation: Department of Internal Medicine, Cardinal Tien Hospital, School of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan.
authors.forename: Jen-Yu
authors.initials: JY
authors.lastname: Wang
authors.forename: Yen-Lin
authors.initials: YL
authors.lastname: Chen
authors.forename: Chun-Hsien
authors.initials: CH
authors.lastname: Hsu
authors.forename: Sai-Hung
authors.initials: SH
authors.lastname: Tang
authors.forename: Chung-Ze
authors.initials: CZ
authors.lastname: Wu
authors.forename: Dee
authors.initials: D
authors.lastname: Pei
mesh_terms: D000293:Adolescent; D001794:Blood Pressure; D006801:Humans; D008297:Male; D024821:Metabolic Syndrome / Q000175:diagnosis*; D012372:ROC Curve; D012307:Risk Factors; D014280:Triglycerides / Q000032:analysis; D014527:Uric Acid / Q000097:blood*
chemical_list: D014280:Triglycerides; D014527:Uric Acid