Jaume Marrugat1, Isaac Subirana2, Rafel Ramos3, Joan Vila2, Alejandro Marín-Ibañez4, María Jesús Guembe5, Fernando Rigo6, María José Tormo Díaz7, Conchi Moreno-Iribas8, Joan Josep Cabré9, Antonio Segura10, José Miguel Baena-Díez11, Agustín Gómez de la Cámara12, José Lapetra13, María Grau14, Miquel Quesada3, María José Medrano15, Paulino González Diego16, Guiem Frontera6, Diana Gavrila7, Eva Ardanaz Aicua8, Josep Basora17, José María García10, Manuel García-Lareo11, José Antonio Gutierrez18, Eduardo Mayoral19, Joan Sala20, Ralph D'Agostino21, Roberto Elosua2. 1. Research Group on Cardiovascular Epidemiology and Genetics, IMIM, Barcelona, Spain. Electronic address: jmarrugat@imim.es. 2. Research Group on Cardiovascular Epidemiology and Genetics, IMIM, Barcelona, Spain; CIBER de Epidemiología y Salud Pública, CIBERESP FEDER-ERDF Instituto de Salud Carlos III, Madrid, Spain. 3. Unitat de Recerca d'Atenció Primària, Instituto de Investigación en Atención Primaria Jordi Gol. Instituto de Investigación de Girona, Spain. 4. Centro de Salud San José Norte, Zaragoza, Spain. 5. Grupo de Investigación Riesgo Vascular en Navarra (RIVANA), Departamento de Salud, Gobierno de Navarra, Pamplona, Spain; Servicio de Investigación, Innovación y Formación, Departamento de Salud, Gobierno de Navarra, Pamplona, Spain. 6. Grupo Cardiovascular de Baleares de la REDIAP IBSALUT, Palma de Mallorca, Spain. 7. CIBER de Epidemiología y Salud Pública, CIBERESP FEDER-ERDF Instituto de Salud Carlos III, Madrid, Spain; Consejería de Sanidad y Consumo de la Región de Murcia, Murcia, Spain. 8. CIBER de Epidemiología y Salud Pública, CIBERESP FEDER-ERDF Instituto de Salud Carlos III, Madrid, Spain; Grupo de Investigación Riesgo Vascular en Navarra (RIVANA), Departamento de Salud, Gobierno de Navarra, Pamplona, Spain; Instituto de Salud Pública de Navarra, Departamento de Salud, Gobierno de Navarra, Pamplona, Spain. 9. Unitat de Recerca d'Atenció Primària, Institut Català de la Salut, Tarragona-Reus, Spain. 10. Instituto de Ciencias de la Salud, Consejería de Salud y Asuntos Sociales, Junta de Comunidades de Castilla - La Mancha, Talavera de la Reina, Spain. 11. Centro de Atención Primaria La Marina, IDIAP Jordi Gol, Barcelona, Spain. 12. CIBER de Epidemiología y Salud Pública, CIBERESP FEDER-ERDF Instituto de Salud Carlos III, Madrid, Spain; Unidad de Investigación Clínica, Instituto de Investigación Hospital 12 de Octubre, Madrid, Spain. 13. Centro de Salud Universitario "San Pablo", Distrito Sanitario Atención Primaria Sevilla, Servicio Andaluz de Salud, Sevilla, Spain; CIBER de Fisiopatología de la Obesidad y la Nutrición, CIBEROBN FEDER-ERDF Instituto de Salud Carlos III, Madrid, Spain. 14. Research Group on Cardiovascular Epidemiology and Genetics, IMIM, Barcelona, Spain. 15. Instituto de Salud Carlos III, Centro Nacional de Epidemiología, Madrid, Spain. 16. Grupo de Investigación Riesgo Vascular en Navarra (RIVANA), Departamento de Salud, Gobierno de Navarra, Pamplona, Spain. 17. Unitat de Recerca d'Atenció Primària, Institut Català de la Salut, Tarragona-Reus, Spain; CIBER de Fisiopatología de la Obesidad y la Nutrición, CIBEROBN FEDER-ERDF Instituto de Salud Carlos III, Madrid, Spain. 18. Consejería de Sanidad y Consumo de la Región de Murcia, Murcia, Spain. 19. CIBER de Fisiopatología de la Obesidad y la Nutrición, CIBEROBN FEDER-ERDF Instituto de Salud Carlos III, Madrid, Spain; Plan Integral de Diabetes de Andalucía, Servicio Andaluz de Salud, Sevilla, Spain. 20. Department of Cardiology, Hospital Universitari Dr. Josep Trueta, Girona, Spain. 21. Framingham Heart Study, Boston University, Boston, MA, USA.
Abstract
OBJECTIVE: To derive and validate a set of functions to predict coronary heart disease (CHD) and stroke, and validate the Framingham-REGICOR function. METHOD: Pooled analysis of 11 population-based Spanish cohorts (1992-2005) with 50,408 eligible participants. Baseline smoking, diabetes, systolic blood pressure (SBP), lipid profile, and body mass index were recorded. A ten-year follow-up included re-examinations/telephone contact and cross-linkage with mortality registries. For each sex, two models were fitted for CHD, stroke, and both end-points combined: model A was adjusted for age, smoking, and body mass index and model B for age, smoking, diabetes, SBP, total and HDL cholesterol, and for hypertension treatment by SBP, and age by smoking and by SBP interactions. RESULTS: The 9.3-year median follow-up accumulated 2973 cardiovascular events. The C-statistic improved from model A to model B for CHD (0.66 to 0.71 for men; 0.70 to 0.74 for women) and the combined CHD-stroke end-points (0.68 to 0.71; 0.72 to 0.75, respectively), but not for stroke alone. Framingham-REGICOR had similar C-statistics but overestimated CHD risk. CONCLUSIONS: The new functions accurately estimate 10-year stroke and CHD risk in the adult population of a typical southern European country. The Framingham-REGICOR function provided similar CHD prediction but overestimated risk.
OBJECTIVE: To derive and validate a set of functions to predict coronary heart disease (CHD) and stroke, and validate the Framingham-REGICOR function. METHOD: Pooled analysis of 11 population-based Spanish cohorts (1992-2005) with 50,408 eligible participants. Baseline smoking, diabetes, systolic blood pressure (SBP), lipid profile, and body mass index were recorded. A ten-year follow-up included re-examinations/telephone contact and cross-linkage with mortality registries. For each sex, two models were fitted for CHD, stroke, and both end-points combined: model A was adjusted for age, smoking, and body mass index and model B for age, smoking, diabetes, SBP, total and HDL cholesterol, and for hypertension treatment by SBP, and age by smoking and by SBP interactions. RESULTS: The 9.3-year median follow-up accumulated 2973 cardiovascular events. The C-statistic improved from model A to model B for CHD (0.66 to 0.71 for men; 0.70 to 0.74 for women) and the combined CHD-stroke end-points (0.68 to 0.71; 0.72 to 0.75, respectively), but not for stroke alone. Framingham-REGICOR had similar C-statistics but overestimated CHD risk. CONCLUSIONS: The new functions accurately estimate 10-year stroke and CHD risk in the adult population of a typical southern European country. The Framingham-REGICOR function provided similar CHD prediction but overestimated risk.
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