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[Estimation of coronary heart disease risk in Chilean subjects based on adapted Framingham equations]

Gloria Icaza1, Loreto Núñez, Jaume Marrugat

  • 1Instituto de Matemática y Física, Universidad de Talca, Talca, Chile. gicaza@utalca.cl

Revista Medica De Chile
|December 17, 2009
PubMed

Insights

New Chilean risk tables were developed to accurately assess 10-year coronary heart disease risk, addressing overestimations from Framingham functions in the Chilean population. These tables improve cardiovascular disease risk prediction for Chileans.

Area of Science:

  • Cardiology
  • Public Health
  • Epidemiology

Background:

  • Cardiovascular disease is a leading cause of death globally and in Chile.
  • Existing Framingham risk functions overestimate coronary heart disease (CHD) risk in the Chilean population.
  • Accurate CHD risk assessment is crucial for effective prevention strategies.

Purpose of the Study:

  • To develop and validate region-specific risk tables for assessing 10-year CHD risk in Chile.
  • To adapt existing risk prediction models using local epidemiological data.
  • To improve the accuracy of CHD risk stratification in the Chilean adult population.

Main Methods:

  • Adapted the Framingham risk function for Chilean adults aged 35-74 years.
  • Utilized Chilean CHD incidence data and prevalence of risk factors (age, sex, cholesterol, blood pressure, diabetes, smoking).
  • Compared the distribution of risk categories between Framingham and Chilean tables.

Main Results:

  • Chilean 10-year CHD incidence: 2.7% (men), 1.09% (women), lower than US/Spain but higher than China.
  • Framingham tables showed >50% of cells in the ≥10% risk category.
  • Chilean tables had <10% of cells in the ≥10% risk category, indicating better risk distribution.

Conclusions:

  • Adapted Chilean risk tables provide more accurate local CHD risk assessment.
  • These tables incorporate specific Chilean epidemiological data for improved prediction.
  • Further validation studies are recommended to confirm the predictive accuracy of the Chilean tables.
Abstract

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