title: Predicting metabolic syndrome by using hematogram models in elderly women.
abstract: BACKGROUND
  Low-grade inflammatory status was thought to be a major underlying mechanism in MetS. White blood cell (WBC) count was one of the inflammatory markers identified to be associated with MetS. Moreover, not only WBC but also hemoglobin (Hb) and platelet (PLT) were all associated with MetS.
  
  
  OBJECTIVE
  In this study, we tried to build models by the hematogram components. In this way, we can not only predict the occurrence of MetS with a relatively low-cost and routine lab test, but also can understand more about the relationships between low grade inflammation and MetS.
  
  
  METHODS
  We randomly collected subjects over 65 years old from MJ Health Screening Center's database between 1999 and 2008. After excluding subjects with medications for hypertension, hyperlipidemia and/or diabetes, 13,132 female were eligible for analysis.
  
  
  RESULTS
  All the MetS components, hematogram parameters and age were higher in group with MetS. In the correlation matrix, all these three hematogram parameters (WBC, Hb and PLT) were correlated with MetS components except for the correlation between Hb and HDL-C. The ROC curves showed that the model 3 (PLT + Hb + WBC) had greatest area under the curve of 0.631 with the sensitivity of 58.1% and specificity of 61.4%.
  
  
  CONCLUSIONS
  Our findings have shown that all the three hematogram parameters are related to MetS. The results not only shed light on the complex relationships, but also demonstrate a common and easy model to aid clinicians to be more aware of the occurrence of MetS.
authors.affiliation: Department of Endocrinology and Metabolism, The 2nd Affiliated Hospital of Dalian Medical University , Dalian , China .
authors.forename: Haixia
authors.initials: H
authors.lastname: Liu
authors.forename: Chun-Hsien
authors.initials: CH
authors.lastname: Hsu
authors.forename: Jiunn-Diann
authors.initials: JD
authors.lastname: Lin
authors.forename: Chang-Hsun
authors.initials: CH
authors.lastname: Hsieh
authors.forename: Wei-Cheng
authors.initials: WC
authors.lastname: Lian
authors.forename: Chung-Ze
authors.initials: CZ
authors.lastname: Wu
authors.forename: Dee
authors.initials: D
authors.lastname: Pei
authors.forename: Yen-Lin
authors.initials: YL
authors.lastname: Chen
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D006454:Hemoglobins / Q000378:metabolism; D006801:Humans; D007958:Leukocyte Count; D024821:Metabolic Syndrome / Q000097:blood* / Q000175:diagnosis; D010976:Platelet Count; D011379:Prognosis; D012372:ROC Curve
chemical_list: D006454:Hemoglobins