title: [Agreement between REGICOR and SCORE scales in identifying high cardiovascular risk in the Spanish population].
abstract: BACKGROUND
  The aims of this study were to evaluate the consistency between the SCORE (Systematic Coronary Risk Evaluation) and REGICOR (Registre Gironí del cor) scales in identifying high cardiovascular risk and to describe the characteristics of those individuals for whom scale results were discrepant.
  
  
  METHODS
  This cross-sectional study involved 8942 subjects aged 40-65 years who had an indication for a complete lipid profile. The agreement between SCORE (for low-risk countries) and Framingham-REGICOR (with a high risk threshold of 10%) scales in classifying patients as high risk was evaluated using the kappa statistic. Subjects for whom there was a discrepancy between classifications were identified and variables associated with this discrepancy were determined by multivariate analysis involving binary logistic regression.
  
  
  RESULTS
  The REGICOR scale classified 6.7% of subjects (95% confidence interval [CI], 6.2%-7.3%) as high-risk, while SCORE classified 12.5% (95% CI 11.8%-13.2%) as high-risk. Discrepant findings were observed in 10.2% of the total population (8% had a high risk on SCORE but not REGICOR, and 2.2% had a high risk on REGICOR but not SCORE; kappa=0.420; P< .001). The best agreement was observed between SCORE and REGICOR with a high-risk threshold of 8% (kappa=0.463). Multivariate analysis showed that a high risk on SCORE but not REGICOR was associated with lower age, female sex, a high fasting glucose level, and raised diastolic blood pressure, and a high risk on REGICOR but not SCORE, with male sex, smoking, and a low high-density lipoprotein (HDL) cholesterol level. These variables accounted for the extent of the discrepancy in 93.2% of cases.
  
  
  CONCLUSIONS
  The SCORE and REGICOR (threshold 10%) scales identified different populations as being at a high risk, though the agreement between them was reasonably good. The concurrence of a number of factors (e.g., male sex, low HDL-cholesterol, and smoking) in a subject with a low risk on the SCORE scale should be regarded as increasing the cardiovascular risk.
authors.affiliation: REDIAPP-CV, Unidad de Investigación, Docencia y Práctica Clínica, Departamento 18 CV, Facultad de Medicina, Universidad Miguel Hernández, Elche, Alicante, España. info@sicccro.com
authors.forename: Vicente
authors.initials: V
authors.lastname: Gil-Guillén
authors.forename: Domingo
authors.initials: D
authors.lastname: Orozco-Beltrán
authors.forename: Antonio
authors.initials: A
authors.lastname: Maiques-Galán
authors.forename: José
authors.initials: J
authors.lastname: Aznar-Vicente
authors.forename: Jorge
authors.initials: J
authors.lastname: Navarro
authors.forename: Luis
authors.initials: L
authors.lastname: Cea-Calvo
authors.forename: Fernando
authors.initials: F
authors.lastname: Quirce-Andrés
authors.forename: Josep
authors.initials: J
authors.lastname: Redón
authors.forename: Jaime
authors.initials: J
authors.lastname: Merino-Sánchez
mesh_terms: D000328:Adult; D000368:Aged; D002318:Cardiovascular Diseases / Q000175:diagnosis* / Q000453:epidemiology; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D012044:Regression Analysis; D018570:Risk Assessment / Q000379:methods; D013030:Spain / Q000453:epidemiology