title: [Estimation of coronary heart disease risk in Chilean subjects based on adapted Framingham equations].
abstract: BACKGROUND
  Cardiovascular disease is the leading cause of morbidity and mortality in Chile and worldwide. Framingham functions were developed to calculate overall coronary heart disease risk. However these functions overestimate the risk in some countries like Chile.
  
  
  OBJECTIVE
  To develop Chilean risk tables to assess the overall 10-year risk of coronary heart disease.
  
  
  METHODS
  The Framingham function was adapted for a population aged 35 to 74 years, based on an estimate of Chilean incidence of coronary heart disease and the prevalence of coronary heart disease risk factors such as age, sex, total cholesterol, high-density lipoprotein cholesterol, blood pressure, diabetes and smoking.
  
  
  RESULTS
  The 10-year incidence of coronary heart disease in Chile (2.7% in men, 1.096 in women) was lower than the incidence in the United States (10.096/3.896) and Spain (4.996/2.296), but higher than China (1.196/0.496). Framingham tables have more than 50% of cells in the risk category of 10% or greater. In contrast, Chilean tables have less than 10% of cells in the same risk category.
  
  
  CONCLUSIONS
  Adapted tables use local information to calculate overall coronary heart disease risk. A validation study should be conducted to assess their predictive power.
authors.affiliation: Instituto de Matemática y Física, Universidad de Talca, Talca, Chile. gicaza@utalca.cl
authors.forename: Gloria
authors.initials: G
authors.lastname: Icaza
authors.forename: Loreto
authors.initials: L
authors.lastname: Núñez
authors.forename: Jaume
authors.initials: J
authors.lastname: Marrugat
authors.forename: Verónica
authors.initials: V
authors.lastname: Mujica
authors.forename: M Cristina
authors.initials: MC
authors.lastname: Escobar
authors.forename: Ana Luisa
authors.initials: AL
authors.lastname: Jiménez
authors.forename: Paulina
authors.initials: P
authors.lastname: Pérez
authors.forename: Iván
authors.initials: I
authors.lastname: Palomo
mesh_terms: D000328:Adult; D000368:Aged; D002677:Chile / Q000453:epidemiology; D002681:China / Q000453:epidemiology; D003327:Coronary Disease / Q000453:epidemiology* / Q000209:etiology; D048909:Diabetes Complications / Q000453:epidemiology; D005260:Female; D006801:Humans; D015994:Incidence; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D018570:Risk Assessment / Q000379:methods; D012307:Risk Factors; D017678:Sex Distribution; D013030:Spain / Q000453:epidemiology; D014481:United States / Q000453:epidemiology