Estimación de riesgo de enfermedad coronaria mediante la función de Framingham adaptada para la población chilena

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 ¡ike Chile. Aim To develop Chilean risk tabl...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: lcaza,Gloria, Núñez,Loreto, Marrugat,Jaume, Mujica,Verónica, Escobar,M. Cristina, Jiménez,Ana Luisa, Pérez,Paulina, Palomo,Iván
Lenguaje:Spanish / Castilian
Publicado: Sociedad Médica de Santiago 2009
Materias:
Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872009001000001
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:scielo:S0034-98872009001000001
record_format dspace
spelling oai:scielo:S0034-988720090010000012009-12-02Estimación de riesgo de enfermedad coronaria mediante la función de Framingham adaptada para la población chilenalcaza,GloriaNúñez,LoretoMarrugat,JaumeMujica,VerónicaEscobar,M. CristinaJiménez,Ana LuisaPérez,PaulinaPalomo,Iván Coronary artery disease Epidemiology Risk factors 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 ¡ike Chile. Aim To develop Chilean risk tables to assess the overall 10-year risk of coronary heart disease. Material and 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.info:eu-repo/semantics/openAccessSociedad Médica de SantiagoRevista médica de Chile v.137 n.10 20092009-10-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872009001000001es10.4067/S0034-98872009001000001
institution Scielo Chile
collection Scielo Chile
language Spanish / Castilian
topic Coronary artery disease
Epidemiology
Risk factors
spellingShingle Coronary artery disease
Epidemiology
Risk factors
lcaza,Gloria
Núñez,Loreto
Marrugat,Jaume
Mujica,Verónica
Escobar,M. Cristina
Jiménez,Ana Luisa
Pérez,Paulina
Palomo,Iván
Estimación de riesgo de enfermedad coronaria mediante la función de Framingham adaptada para la población chilena
description 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 ¡ike Chile. Aim To develop Chilean risk tables to assess the overall 10-year risk of coronary heart disease. Material and 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.
author lcaza,Gloria
Núñez,Loreto
Marrugat,Jaume
Mujica,Verónica
Escobar,M. Cristina
Jiménez,Ana Luisa
Pérez,Paulina
Palomo,Iván
author_facet lcaza,Gloria
Núñez,Loreto
Marrugat,Jaume
Mujica,Verónica
Escobar,M. Cristina
Jiménez,Ana Luisa
Pérez,Paulina
Palomo,Iván
author_sort lcaza,Gloria
title Estimación de riesgo de enfermedad coronaria mediante la función de Framingham adaptada para la población chilena
title_short Estimación de riesgo de enfermedad coronaria mediante la función de Framingham adaptada para la población chilena
title_full Estimación de riesgo de enfermedad coronaria mediante la función de Framingham adaptada para la población chilena
title_fullStr Estimación de riesgo de enfermedad coronaria mediante la función de Framingham adaptada para la población chilena
title_full_unstemmed Estimación de riesgo de enfermedad coronaria mediante la función de Framingham adaptada para la población chilena
title_sort estimación de riesgo de enfermedad coronaria mediante la función de framingham adaptada para la población chilena
publisher Sociedad Médica de Santiago
publishDate 2009
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872009001000001
work_keys_str_mv AT lcazagloria estimacionderiesgodeenfermedadcoronariamediantelafunciondeframinghamadaptadaparalapoblacionchilena
AT nunezloreto estimacionderiesgodeenfermedadcoronariamediantelafunciondeframinghamadaptadaparalapoblacionchilena
AT marrugatjaume estimacionderiesgodeenfermedadcoronariamediantelafunciondeframinghamadaptadaparalapoblacionchilena
AT mujicaveronica estimacionderiesgodeenfermedadcoronariamediantelafunciondeframinghamadaptadaparalapoblacionchilena
AT escobarmcristina estimacionderiesgodeenfermedadcoronariamediantelafunciondeframinghamadaptadaparalapoblacionchilena
AT jimenezanaluisa estimacionderiesgodeenfermedadcoronariamediantelafunciondeframinghamadaptadaparalapoblacionchilena
AT perezpaulina estimacionderiesgodeenfermedadcoronariamediantelafunciondeframinghamadaptadaparalapoblacionchilena
AT palomoivan estimacionderiesgodeenfermedadcoronariamediantelafunciondeframinghamadaptadaparalapoblacionchilena
_version_ 1718436467166937088