title: [Chronic metabolic syndrome: a predictive model of risk of macrovascular events?].
abstract: OBJECTIVE
  To establish a predictive model of the risk of macrovascular complications in patients with Chronic Metabolic Syndrome by means of multiple logistic regression analysis. To identify Chronic Metabolic Syndrome as an independent health problem, given its frequency and importance in the genesis of macrovascular complications.
  
  
  METHODS
  A descriptive observational study.
  
  
  METHODS
  An urban Health District in Malaga.
  
  
  METHODS
  47 patients with Chronic Metabolic Syndrome were chosen by systematic randomised sampling.
  
  
  RESULTS
  The best predictive model of macrovascular events was established as the one which included high values of the Waist-Hip index, blood pressure, Fibrinogenaemia and basal Glucaemia, and low values of HDL cholesterol.
  
  
  CONCLUSIONS
  1. A model to predict macrovascular events in patients with Chronic Metabolic Syndrome included high values of the Waist-Hip index, blood pressure, Fibrinogenaemia and basal Glucaemia, and low values of HDL cholesterol. 2. We believe that this association should be considered an independent health problem on the list of problems, with the name Syndrome X or Chronic Metabolic Syndrome.
authors.affiliation: Especialista en MFyC, Hospital Clínico Virgen de la Victoria, Málaga.
authors.forename: J J
authors.initials: JJ
authors.lastname: Sánchez Luque
authors.forename: C
authors.initials: C
authors.lastname: Ortiz García
authors.forename: J C
authors.initials: JC
authors.lastname: Rojano Martín
authors.forename: F J
authors.initials: FJ
authors.lastname: Mérida de la Torre
authors.forename: J S
authors.initials: JS
authors.lastname: Luque Martín
authors.forename: M
authors.initials: M
authors.lastname: Morell Ocaña
mesh_terms: D000328:Adult; D000368:Aged; D001786:Blood Glucose / Q000032:analysis; D001794:Blood Pressure; D002318:Cardiovascular Diseases / Q000209:etiology*; D008076:Cholesterol, HDL / Q000097:blood; D002908:Chronic Disease; D005260:Female; D005340:Fibrinogen / Q000032:analysis; D006801:Humans; D016015:Logistic Models; D008297:Male; D017566:Microvascular Angina / Q000097:blood / Q000175:diagnosis; D008875:Middle Aged; D011379:Prognosis; D011897:Random Allocation; D012307:Risk Factors
chemical_list: D001786:Blood Glucose; D008076:Cholesterol, HDL; D005340:Fibrinogen