title: Comparative performance of three metabolic syndrome definitions in the prediction of acute coronary syndrome.
abstract: OBJECTIVE
  The value of the recently introduced definitions of metabolic syndrome (MetS) in the identification of high cardiovascular risk subjects remains questionable. We examined the association among different definitions of MetS, and the occurrence of a first-ever acute coronary syndrome (ACS).
  
  
  METHODS
  We studied 211 patients with a first-ever ACS and 210 control subjects. We recorded cardiovascular risk factors and the presence of MetS using 3 different definitions, according to the National Cholesterol Education Program Adult Treatment Panel (NCEP-ATP) III, National Heart, Lung and Blood Institute/American Heart Association (NHLBI/AHA), and International Diabetes Federation (IDF), respectively. The association of MetS with ACS was assessed using univariate and multivariate logistic regression models after adjusting for potential confounding factors, such as gender, age, body mass index, hypertension, diabetes mellitus, and lipids.
  
  
  RESULTS
  ACS cases had a prevalence of metabolic syndrome according to NCEP-ATP III, NHLBI/AHA, and IDF criteria of 72.5%, 81.2%, and 79.1%, respectively. The unadjusted odds ratio (OR) for a first-ever ACS were 2.32 (95% CI: 1.53-3.52, p=0.001), 2.82 (95% CI: 1.79-4.43, p=0.001), and 3.26 (95% CI: 2.12-5.00, p=0.001) for NCEP-ATP III, NHLBI/AHA, and IDF MetS definitions, respectively. Multivariate analyses revealed that only IDF-defined MetS was significantly associated with ACS (OR: 2.23 95% CI: 1.30-3.82, p=0.003), while of the MetS components only waist circumference remained independently associated with ACS (O.R: 1.045 95% CI: 1.014-1.078, p=0.005).
  
  
  CONCLUSIONS
  The definition of MetS according to the IDF criteria appears to be a better predictor of ACS than NCEP-ATP III and NHLBI/AHA.
authors.affiliation: Diabetes Center, Tzanio General Hospital of Piraeus, Greece.
authors.forename: Anastasios
authors.initials: A
authors.lastname: Koutsovasilis
authors.forename: John
authors.initials: J
authors.lastname: Protopsaltis
authors.forename: Filippos
authors.initials: F
authors.lastname: Triposkiadis
authors.forename: Stelios
authors.initials: S
authors.lastname: Kokkoris
authors.forename: Haralampos J
authors.initials: HJ
authors.lastname: Milionis
authors.forename: Michael N
authors.initials: MN
authors.lastname: Zairis
authors.forename: John
authors.initials: J
authors.lastname: Skoularigis
authors.forename: George
authors.initials: G
authors.lastname: Koukoulis
authors.forename: Panagiotis
authors.initials: P
authors.lastname: Korantzopoulos
authors.forename: Andreas
authors.initials: A
authors.lastname: Melidonis
authors.forename: Stefanos G
authors.initials: SG
authors.lastname: Foussas
mesh_terms: D054058:Acute Coronary Syndrome / Q000209:etiology*; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D016022:Case-Control Studies; D005260:Female; D006801:Humans; D008297:Male; D024821:Metabolic Syndrome / Q000150:complications* / Q000175:diagnosis*; D008875:Middle Aged; D011237:Predictive Value of Tests; D012307:Risk Factors; D012720:Severity of Illness Index