Discordances among different tools used to estimate cardiovascular risk in postmenopausal women

Pascal Pelletier1, Annie Lapointe, Nathalie Laflamme

  • 1Lipid Research Centre, Centre Hospitalier Universitaire de Québec Research Centre, Quebec, Canada.

Insights

The Framingham risk score (FRS) underestimated cardiovascular disease (CVD) risk in postmenopausal women, missing many with metabolic syndrome (MetS). Integrating high-sensitivity C-reactive protein (hs-CRP) into risk models like the Women's Health Study (WHS) model offers a more accurate CVD risk assessment.

Area of Science:

  • Cardiology
  • Preventive Medicine
  • Biomarkers

Background:

  • Emerging cardiovascular disease (CVD) risk factors like high-sensitivity C-reactive protein (hs-CRP) and metabolic syndrome (MetS) require integration into risk stratification.
  • Current CVD risk classification methods may yield divergent results.

Purpose of the Study:

  • To compare CVD risk estimation differences between the Framingham risk score (FRS), hs-CRP, and MetS in postmenopausal women.
  • To evaluate the utility of the Women's Health Study (WHS) model incorporating hs-CRP for CVD risk assessment.

Main Methods:

  • Determined FRS and MetS presence in 109 postmenopausal women.
  • Assessed CVD risk using a scoring system based on FRS covariables and hs-CRP (WHS model).
  • Compared CVD risk estimates from hs-CRP alone and the WHS model against the FRS.

Main Results:

  • FRS classified 99% of women as low CVD risk.
  • MetS was present in 39.4% of women.
  • hs-CRP alone classified 28.4% as high risk, while the WHS model identified 1.8% as high risk, with 14.7% moderate risk.

Conclusions:

  • FRS failed to identify a significant proportion of postmenopausal women with MetS, who are at elevated CVD risk.
  • hs-CRP risk estimation differs substantially based on conventional cutoffs versus its integrated use in the WHS model.
  • The WHS model provides a more comprehensive CVD risk profile in this population.
Abstract

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