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[Estimating cardiovascular risk in Spain using different algorithms].

Eva Comín1, Pascual Solanas, Carmen Cabezas

  • 1Institut Català de la Salut, Barcelona, España.

Revista Espanola De Cardiologia
|August 1, 2007
PubMed
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The REGICOR algorithm best predicts cardiovascular events in Spain. It identifies fewer high-risk individuals compared to Framingham and SCORE, aiding primary prevention efforts.

Area of Science:

  • Cardiology
  • Public Health
  • Preventive Medicine

Background:

  • Cardiovascular disease (CVD) is a leading cause of morbidity and mortality in Spain.
  • Accurate risk assessment is crucial for primary CVD prevention.
  • Existing CVD risk algorithms may not perform optimally in diverse populations.

Purpose of the Study:

  • To compare the predictive performance of the Framingham, REGICOR (Registre Gironí del cor), and SCORE (Systematic COronary Risk Evaluation) algorithms for cardiovascular events in Spain.
  • To evaluate the ability of these algorithms to identify high-risk individuals for primary prevention.

Main Methods:

  • A 5-year follow-up study of 5732 participants without coronary disease across nine Spanish regions.
  • Measurement of cardiovascular risk factors between 1995-1998.

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  • Classification of participants as high-risk based on 10-year CVD risk thresholds for each algorithm.

    • Main Results:

    • 180 (3.1%) cardiovascular events occurred during follow-up.
    • The REGICOR algorithm demonstrated the highest positive predictive value for coronary and overall cardiovascular disease.
    • REGICOR classified a lower proportion of the population aged 35-74 as high-risk compared to Framingham and SCORE.

    Conclusions:

    • The REGICOR algorithm is a superior predictor of cardiovascular events in the Spanish population.
    • REGICOR's ability to identify fewer high-risk individuals may improve the efficiency of primary CVD prevention strategies in Spain.