title: The "metabolic syndrome" is less useful than random plasma glucose to screen for glucose intolerance.
abstract: OBJECTIVE
  To compare the utility of metabolic syndrome (MetS) to random plasma glucose (RPG) in identifying people with diabetes or prediabetes.
  
  
  METHODS
  RPG was measured and an OGTT was performed in 1155 adults. Test performance was measured by area under the receiver-operating-characteristic curve (AROC).
  
  
  RESULTS
  Diabetes was found in 5.1% and prediabetes in 20.0%. AROC for MetS with fasting plasma glucose (FPG) was 0.80 to detect diabetes, and 0.76 for diabetes or prediabetes--similar to RPG alone (0.82 and 0.72). However, the AROC for MetS excluding fasting plasma glucose was lower: 0.69 for diabetes (p<0.01 vs. both RPG and MetS with FPG), and 0.69 for diabetes or prediabetes. AROCs for MetS with FPG and RPG were comparable and higher for recognizing diabetes in blacks vs. whites, and females vs. males. MetS with FPG was superior to RPG for identifying diabetes only in subjects with age <40 or BMI <25.
  
  
  CONCLUSIONS
  MetS features can be used to identify risk of diabetes, but predictive usefulness is driven largely by FPG. Overall, to identify diabetes or prediabetes in blacks and whites with varying age and BMI, MetS is no better than RPG--a more convenient and less expensive test.
authors.affiliation: Division of Endocrinology and Metabolism, Department of Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA.
authors.forename: Eman A
authors.initials: EA
authors.lastname: El Bassuoni
authors.forename: David C
authors.initials: DC
authors.lastname: Ziemer
authors.forename: Paul
authors.initials: P
authors.lastname: Kolm
authors.forename: Mary K
authors.initials: MK
authors.lastname: Rhee
authors.forename: Viola
authors.initials: V
authors.lastname: Vaccarino
authors.forename: Circe W
authors.initials: CW
authors.lastname: Tsui
authors.forename: Jack M
authors.initials: JM
authors.lastname: Kaufman
authors.forename: G Eileen
authors.initials: GE
authors.lastname: Osinski
authors.forename: David D
authors.initials: DD
authors.lastname: Koch
authors.forename: K M Venkat
authors.initials: KM
authors.lastname: Narayan
authors.forename: William S
authors.initials: WS
authors.lastname: Weintraub
authors.forename: Lawrence S
authors.initials: LS
authors.lastname: Phillips
mesh_terms: D001786:Blood Glucose / Q000378:metabolism*; D003924:Diabetes Mellitus, Type 2 / Q000097:blood / Q000175:diagnosis / Q000453:epidemiology; D018149:Glucose Intolerance / Q000097:blood / Q000453:epidemiology*; D005951:Glucose Tolerance Test; D006801:Humans; D008403:Mass Screening / Q000379:methods; D024821:Metabolic Syndrome / Q000097:blood / Q000175:diagnosis*; D018579:Patient Selection; D011236:Prediabetic State / Q000097:blood; D015995:Prevalence; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014481:United States / Q000453:epidemiology
chemical_list: D001786:Blood Glucose
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