Measurement of carotid artery intima-media thickness in dyslipidemic patients increases the power of traditional risk factors to predict cardiovascular events

Atherosclerosis. 2007 Apr;191(2):403-8. doi: 10.1016/j.atherosclerosis.2006.04.008. Epub 2006 May 8.

Abstract

A longitudinal observational study investigated whether the measurement, in clinical practice, of carotid maximum intima-media thickness (Max-IMT) could be combined with the Framingham risk score (FRS) to improve the predictability of cardiovascular events in dyslipidemic patients who are at low or intermediate risk. Max-IMT was measured by ultrasound in 1969 patients attending a lipid clinic. The "best threshold values" (BTVs) above which we considered the Max-IMT to be abnormally high were calculated for our dyslipdemic population for each 10-year age interval in men and women. Two hundred and forty-two patients (age 54+/-10 years; 43.8% women) with an FRS <20%, i.e. at low or intermediate risk, were monitored for more than 5 years. Twenty-four of these patients suffered a cardiovascular event within 5.1+/-2.3 years. Both FRS and Max-IMT proved to be independent outcome predictors (p<0.04, both), with a hazard ratio (HR) of 6.7 (95% CI 1.43, 31.04; p=0.015) in patients in whom FRS was 10-20% and Max-IMT was above the BTV (60th percentile of Max-IMT distribution for men or 80th for women). In Kaplan-Meier analysis, the Max-IMT significantly improved the predictive value of the FRS (chi(2)=8.13, p=0.04). Patients with FRS 10-20% (currently considered intermediate-risk) and also elevated Max-IMT values came into the same high-risk category as patients with FRS 20-30%. The combination of FRS with Max-IMT measurement can be used in routine clinical practice to greatly enhance the predictability of cardiovascular events in the large number of patients who fall into the intermediate-risk category, which currently does not call for aggressive preventive measures.

Publication types

  • Evaluation Study

MeSH terms

  • Adult
  • Age Distribution
  • Age Factors
  • Aged
  • Cardiovascular Diseases / diagnosis*
  • Cardiovascular Diseases / etiology
  • Cardiovascular Diseases / pathology
  • Carotid Arteries / pathology*
  • Dyslipidemias / complications
  • Dyslipidemias / pathology*
  • Female
  • Follow-Up Studies
  • Humans
  • Kaplan-Meier Estimate
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Proportional Hazards Models
  • Risk Assessment
  • Risk Factors
  • Time Factors
  • Tunica Intima / pathology*
  • Tunica Media / pathology*
  • Ultrasonography / methods