The REGICOR-calibrated function provides a better classification of high-risk patients on statin treatment in the Spanish population than the Framingham or SCORE classifications.

INTRODUCTION AND OBJECTIVES: To determine which cardiovascular risk function is best for classifying high-risk individuals on statins. METHODS: Descriptive cross-sectional study of 804 randomly selected patients aged 35-74 years. Variables studied included statin treatment, high cardiovascular risk according to Framingham-REGICOR (10-year risk >or=10%), Framingham-Wilson (10-year risk >or=20%) and SCORE (10-year risk >or=5%) functions, age, sex, cardiovascular risk factors, and total and high-density lipoprotein (HDL) cholesterol. RESULTS: Overall, 83 patients (10.3%) were taking statins. The prevalence of hypercholesterolemia was 25.6%. When high-risk patients were compared with low- and medium-risk patients, the SCORE function only found a significant difference in HDL-cholesterol level (difference, 5.1 mg/dl; P< .001), whereas the Framingham-REGICOR and Framingham-Wilson functions showed that hypercholesterolemia was more prevalent (at 41% and 37.8%, respectively), the total cholesterol level was higher (difference, 15 mg/dl and 12.5 mg/dl, respectively), and the HDL-cholesterol level was lower (difference, 11.9 mg/ dl and 12 mg/dl, respectively; all P< .001). The percentage of patients on statins classified as high-risk by each function was 16% for Framingham-REGICOR (odds ratio [OR]=1.81; 95% confidence interval [CI], 1.01-3.27), 13.4% for Framingham-Wilson (OR=1.47; 95% CI, 0.87-2.47) and 10.6% for SCORE (OR=1.09; 95% CI, 0.50-2.37). Statin use was also significantly associated with hypertension (OR=1.89; 95% CI, 1.20-2.99) and hypercholesterolemia (OR=11.01; 95% CI, 6.55-18.53), and inversely associated with age in patients <65 years (OR=0.51; 95% CI, 0.32-0.81). CONCLUSIONS: The Framingham-REGICOR function was better at classifying high-risk patients on statins than the Framingham-Wilson or SCORE functions. Statin use was associated with hypercholesterolemia and hypertension and inversely with age in patients <65 years.

[Comparison of the SCORE and REGICOR models for calculating cardiovascular risk in cardiovascular disease-free individuals at a healthcare center in Barcelona, Spain]. / Comparación de los modelos SCORE y REGICOR para el cálculo del riesgo cardiovascular en sujetos sin enfermedad cardiovascular atendidos en un centro de salud de Barcelona.

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.