Adaptation of the Framingham-Wilson coronary risk equation for the population of Navarra (RICORNA)

Rev Esp Cardiol. 2009 Aug;62(8):875-85. doi: 10.1016/s1885-5857(09)72652-0.
[Article in English, Spanish]

Abstract

Introduction and objectives: The Framingham equations overestimate the risk of coronary disease in populations with a low disease incidence. It is more appropriate to take the local population's characteristics into account when estimating coronary risk. Accordingly, the Framingham-Wilson equation has been adapted for the population of Navarra, Spain. This article presents 10-year overall coronary risk charts.

Methods: The Framingham-Wilson equation was adapted using data on the prevalence of cardiovascular risk factors and the coronary event rate in the population of Navarra. The version of the Framingham-Wilson equation used included high-density lipoprotein cholesterol (HDL-C). The probability of an event at 10 years for different combinations of risk factors, with an HDL-C concentration of 35-59 mg/dL, are illustrated.

Results: Using the Framingham equation adapted for Navarra (i.e., the RICORNA or Riesgo Coronario Navarra), the proportion with an estimated probability of a coronary event in the next 10 years greater than 9% is approximately half that in the original Framingham population, and the proportion with a high or very high probability (i.e., 20%) is one-third. An HDL-C level <35 mg/dL increases the risk by 50% and a level > or =60 mg/dL reduces it by 50%, approximately. The average HDL-C level observed in the population was 63.9 mg/dL overall, and 70.1 mg/dL in women.

Conclusions: The RICORNA equation can provide a more precise estimate of overall coronary risk and could be useful in primary disease prevention in Navarra. The high HDL-C concentration observed in Navarra might contribute to the associated low coronary morbidity and mortality.

MeSH terms

  • Adult
  • Aged
  • Coronary Disease / epidemiology*
  • Female
  • Humans
  • Male
  • Mathematics
  • Middle Aged
  • Risk Assessment / methods
  • Spain