title: Cardiovascular risk assessment in the metabolic syndrome: results from the Prospective Cardiovascular Munster (PROCAM) Study.
abstract: OBJECTIVE
  We aimed (1) to construct a modified PROCAM risk algorithm, which incorporates BMI/waist circumference in a model for predicting coronary events; (2) to evaluate how accurate this and the previously established PROCAM risk algorithm predict coronary risk in individuals with metabolic syndrome.
  
  
  METHODS
  Prospective Cardiovascular Münster (PROCAM) Study, a prospective study of men and women at work in the northwest of Germany.
  
  
  METHODS
  A total of 7134 men aged 35-65 years at study entry.
  
  
  METHODS
  On the basis of 404 major coronary events (defined as nonfatal MI and coronary deaths), which occurred within 10 years of follow-up, a modified PROCAM risk algorithm was constructed by incorporating BMI/waist circumference as fixed variable in a Cox proportional hazards model for predicting coronary events. The metabolic syndrome was defined according to the latest recommendations proposed by the NCEP-ATP III Panel.
  
  
  RESULTS
  Men who were classified as having the metabolic syndrome (n=2325, prevalence: 32.6%) were 2.59-fold more likely to experience a major coronary event within 10 years of follow-up than men not having the metabolic syndrome. In men with metabolic syndrome, the observed major coronary event rate of 9.6% corresponded well with their estimated global risk according to the modified BMI-based PROCAM risk algorithm (10.2%). Comparative calculations performed with the previously published fully adjusted PROCAM algorithm yielded very similar results.
  
  
  CONCLUSIONS
  Both PROCAM algorithms provide very accurate means to ascertain coronary risk in male patients with metabolic syndrome.
authors.affiliation: Leibniz-Institute of Arteriosclerosis Research, University of Münster, Münster, Germany. assmann@uni-muenster.de
authors.forename: G
authors.initials: G
authors.lastname: Assmann
authors.forename: H
authors.initials: H
authors.lastname: Schulte
authors.forename: U
authors.initials: U
authors.lastname: Seedorf
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D015992:Body Mass Index; D002318:Cardiovascular Diseases / Q000453:epidemiology / Q000209:etiology*; D004812:Epidemiologic Methods; D005858:Germany / Q000453:epidemiology; D006801:Humans; D008297:Male; D024821:Metabolic Syndrome / Q000150:complications* / Q000175:diagnosis / Q000453:epidemiology; D008875:Middle Aged; D009203:Myocardial Infarction / Q000453:epidemiology / Q000209:etiology; D011379:Prognosis