title: [Comparison of the SCORE and REGICOR models for calculating cardiovascular risk in cardiovascular disease-free individuals at a healthcare center in Barcelona, Spain].
abstract: BACKGROUND
  No studies have been published to date comparing SCORE, REGICOR and Framingham models. This study is aimed at analyzing how the REGICOR and SCORE functions classify cardiovascular risk, their correlation and concordance with Framingham (1998) and whether any differences exist among them with regard to the cardiovascular risk factors in high-risk groups.
  
  
  METHODS
  Descriptive cross-sectional study conducted in primary care. A total of 851 individuals within the 35-74 age range, free of cardiovascular diseases and selected by simple random sampling were included. A study was made of the percentage of high-risk patients with Framingham (> or = 20% ten-year risk), SCORE (> or = 5% ten-year risk) and REGICOR with cutoff points > or = 20%, > or = 15%, > or = 10% and > or = 5% at 10 years, given that with REGICOR > or = 20% there are hardly any high-risk cases. A comparison was drawn between the correlation (Pearson's r) and concordance (Kappa index) of the REGICOR and SCORE high-risk individuals as compared to Framingham.
  
  
  RESULTS
  The high-risk percentages respectively found were: 23.3% with Framingham; 15.2%; with SCORE; and 1.4%, 5.8%, 17.6% and 57.0% with REGICOR with the cutoff points described. REGICOR has a 0.99 correlation, SCORE a 0.78 correlation. REGICOR > or = 10% showed a better concordance (Kappa 0.83) than SCORE (Kappa 0.61). On comparing the cardiovascular risk factors of the high-risk cases (> or = 20% Framingham, > or = 5% SCORE and > or = 10% REGICOR), SCORE showed higher prevalence of diabetes and a lower prevalence of hypercholesterolemia (p<0.05).
  
  
  CONCLUSIONS
  REGICOR showed a good correlation with Framingham. With the > or = 10% cutoff point, it classifies a number of individuals as high-risk similar to SCORE and fewer than Framingham. The SCORE model would treat a number of patients similar to the REGICOR > or =10% model with hypolipemiant drugs, however showing lesser evidence of effectiveness of the treatment.
authors.affiliation: Area Básica de Salud, Dr Carles Ribas-La Marina, Barcelona. jbaenad@meditex.es
authors.forename: José Miguel
authors.initials: JM
authors.lastname: Baena Díez
authors.forename: José Luis
authors.initials: JL
authors.lastname: del Val Garcia
authors.forename: Luis
authors.initials: L
authors.lastname: Héctor Salas Gaetgens
authors.forename: Ricard
authors.initials: R
authors.lastname: Sánchez Pérez
authors.forename: Eva
authors.initials: E
authors.lastname: Altes Vaques
authors.forename: Bibiana
authors.initials: B
authors.lastname: Deixens Martínez
authors.forename: Marta
authors.initials: M
authors.lastname: Amatller Corominas
authors.forename: Dynaida
authors.initials: D
authors.lastname: Katia Núñez Casillas
mesh_terms: D000328:Adult; D000368:Aged; D002318:Cardiovascular Diseases / Q000453:epidemiology*; D003151:Community Health Centers; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D018570:Risk Assessment / Q000379:methods*; D013030:Spain